300 Sozialwissenschaften
Refine
Year of publication
Document Type
- Article (233)
- Postprint (36)
- Doctoral Thesis (26)
- Monograph/Edited Volume (21)
- Part of a Book (15)
- Other (13)
- Review (7)
- Report (6)
- Conference Proceeding (4)
- Working Paper (4)
Language
- English (369) (remove)
Keywords
- Curriculum Framework (33)
- European values education (33)
- Europäische Werteerziehung (33)
- Lehrevaluation (33)
- Studierendenaustausch (33)
- Unterrichtseinheiten (33)
- curriculum framework (33)
- lesson evaluation (33)
- student exchange (33)
- teaching units (33)
Institute
- Sozialwissenschaften (96)
- Fachgruppe Soziologie (56)
- Fachgruppe Politik- & Verwaltungswissenschaft (45)
- Institut für Umweltwissenschaften und Geographie (42)
- Wirtschaftswissenschaften (19)
- Fachgruppe Betriebswirtschaftslehre (18)
- Fachgruppe Volkswirtschaftslehre (18)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (14)
- Department Psychologie (12)
- Department Erziehungswissenschaft (7)
Job satisfaction is a major driver of an individual’s subjective well-being and thus affects public health, societal prosperity, and organisations, as dissatisfied employees are less productive and more likely to change jobs. However, changing jobs does not necessarily lead to higher job satisfaction in the long run. Previous studies have shown, instead, that changing jobs only increases job satisfaction for a short period of time before it gradually falls back to similar levels as before. This phenomenon is known as the ’honeymoon–hangover’ pattern. In our study, we identify an important new moderator of the relation between job change and job satisfaction: the job–education match of job changes. Based on relative deprivation theory, we argue that job changes from being overeducated in a job lowers the likelihood of negative comparisons and thus increases the honeymoon period, lessens the hangover period, and increases long-term job satisfaction. We use data from the Socio-Economic Panel ranging from 1994–2018 and focus specifically on individual periods of employees before and after job changes (n = 134,404). Our results confirm that a change to a job that requires a matched education has a stronger and longer-lasting effect on job satisfaction, and that this effect is slightly lower for respondents born abroad.
The article analyzes the investigations conducted by the Berlin police into the subsequent perpetrator of the vehicle-ramming attack at a Berlin Christmas market on December 19, 2016. We explore why the police closed these investigations prematurely and thereby focus on an attempt to prevent lone actor terrorism. The analysis shows that the police closed its investigations owing to organizational dynamics driven by an increasing need to justify further resource investments in the face of absent conclusive evidence and scarce resources in relation to the organizational case ecology. We propose hypotheses for future research and formulate three contributions to existing research on the sociology of police, terrorism prevention, and lone actor research.
Social theory has long predicted that social mobility, in particular downward social mobility, is detrimental to the well-being of individuals. Dissociative and “falling from grace” theories suggest that mobility is stressful due to the weakening of social ties, feelings of alienation, and loss of status. In light of these theories, it is a puzzle that the majority of quantitative studies in this area have shown null results. Our approach to resolve the puzzle is two-fold. First, we argue for a broader conception of the mobility process than is often used and thus focus on intragenerational occupational class mobility rather than restricting ourselves to the more commonly studied intergenerational mobility. Second, we argue that self-reported measures may be biased by habituation (or “entrenched deprivation”). Using nurse-collected health and biomarker data from the UK Household Longitudinal Study (2010–2012, N = 4,123), we derive a measure of allostatic load as an objective gauge of physiological “wear and tear” and compare patterns of mobility effects with self-reports of health using diagonal reference models. Our findings indicate a strong class gradient in both allostatic load and self-rated health, and that both first and current job matter for current well-being outcomes. However, in terms of the effects of mobility itself, we find that intragenerational social mobility is consequential for allostatic load, but not for self-rated health. Downward mobility is detrimental and upward mobility beneficial for well-being as assessed by allostatic load. Thus, these findings do not support the idea of generalized stress from dissociation, but they do support the “falling from grace” hypothesis of negative downward mobility effects. Our findings have a further implication, namely that the differences in mobility effects between the objective and subjective outcome infer the presence of entrenched deprivation. Null results in studies of self-rated outcomes may therefore be a methodological artifact, rather than an outright rejection of decades-old social theory.
For many years scholars and politicians discuss the economic importance of the middle income class. Our article contributes to broaden the present state of research by not only examining the structure of the middle class whilst focusing on individual attributes, but by especially taking the role of gender-specific occupational characteristics and country-specific conditions into account. Based on the EU-SILC data 2020 for 17 countries, we analyze which factors affect the structure of the middle income class on the individual, on the occupational and country level. Our findings show that occupational attributes (e.g. part-time rate) prove to be highly relevant in this realm. Moreover, significant gender differences can be observed: women who work in an occupation which is mainly performed by women bear a higher risk of belonging to the lower income class as compared to men.
Taxed fairly?
(2023)
Empirically, the poor are more likely to support increases in the level of tax progressivity than the rich. Such income-stratified tax preferences can result from differences in preferences of what should be taxed as argued by previous literature. However, it may also result from income-stratified perceptions of what is taxed. This paper argues that the rich perceive higher levels of tax progressivity than the poor and that tax perceptions affect individuals’ support for progressive taxation. Using data from an Austrian survey experiment, we test this argument in three steps: First, in line with past research, we show that individuals’ income positions are connected to individuals’ tax preferences as a self-interest rationale would predict. However, second, we show that this variation is mainly driven by income-stratified tax perceptions. Third, randomly informing a subset of the sample about actual tax rates, we find that changing tax perceptions causally affects support for redistributive taxation among those who initially overestimated the level of tax progressivity. Our results indicate that tax perceptions are relevant for forming tax preferences and suggest that individuals are more polarized in their perceptions of who pays how much taxes than in their support for who should pay how much tax.
Political trust—in terms of trust in political institutions—is an important precondition for the functioning and stability of democracy. One widely studied determinant of political trust is income inequality. While the empirical finding that societies with lower levels of income inequality have higher levels of trust is well established, the exact ways in which income inequality affects political trust remain unclear. Past research has shown that individuals oftentimes have biased perceptions of inequality. Considering potentially biased inequality perceptions, I argue that individuals compare their perceptions of inequality to their preference for inequality. If they identify a gap between what they perceive and what they prefer (= fairness gap), they consider their attitudes towards inequality unrepresented. This, in turn, reduces trust in political institutions. Using three waves of the ESS and the ISSP in a cross-country perspective, I find that (1) perceiving a larger fairness gap is associated with lower levels of political trust; (2) the fairness gap mediates the link between actual inequality and political trust; and (3) disaggregating the fairness gap measure, political trust is more strongly linked to variation in inequality perceptions than to variation in inequality preferences. This indicates that inequality perceptions are an important factor shaping trust into political institutions.
In the context of persistent images of self-perpetuated technologies, we discuss the interplay of digital technologies and organisational dynamics against the backdrop of systems theory. Building on the case of an international corporation that, during an agile reorganisation, introduced an AI-based personnel management platform, we show how technical systems produce a form of algorithmic contingency that subsequently leads to the emergence of formal and informal interaction systems. Using the concept of datafication, we explain how these interactions are barriers to the self-perpetuation of data-based decision-making, making it possible to take into consideration further decision factors and complementing the output of the platform. The research was carried out within the scope of the research project ‘Organisational Implications of Digitalisation: The Development of (Post-)Bureaucratic Organisational Structures in the Context of Digital Transformation’ funded by the German Research Foundation (DFG).
Background: Following the rapid increase of asylum seekers arriving in the European Union in 2015/16, policymakers have invested heavily in improving their foresight and forecasting capabilities. A common method to elicit expert predictions are Delphi surveys. This approach has attracted concern in the literature, given the high uncertainty in experts’ predictions. However, there exists limited guidance on specific design choices for future-related Delphi surveys.
Objective: We test whether or not small adjustments to the Delphi survey can increase certainty (i.e., reduce variation) in expert predictions on immigration to the EU in 2030.
Methods: Based on a two-round Delphi survey with 178 migration experts, we compare variation and subjective confidence in expert predictions and assess whether additional context information (type of migration flow, sociopolitical context) promotes convergence among experts (i.e., less variation) and confidence in their own estimates.
Results: We find that additional context information does not reduce variation and does not increase confidence in expert predictions on migration.
Conclusions: The results reaffirm recent concerns regarding the limited scope for reducing uncertainty by manipulating the survey setup. Persistent uncertainty may be a result of the complexity of migration processes and limited agreement among migration experts regarding key drivers.
Contribution: We caution policymakers and academics on the use of Delphi surveys for eliciting expert predictions on immigration, even when conducted based on a large pool of experts and using specific scenarios. The potential of alternative approaches such as prediction markets should be further explored.
A circulatory loop
(2023)
In the digitalization debate, gender biases in digital technologies play a significant role because of their potential for social exclusion and inequality. It is therefore remarkable that organizations as drivers of digitalization and as places for social integration have been widely overlooked so far. Simultaneously, gender biases and digitalization have structurally immanent connections to organizations. Therefore, a look at the reciprocal relationship between organizations, digitalization, and gender is needed. The article provides answers to the question of whether and how organizations (re)produce, reinforce, or diminish gender‐specific inequalities during their digital transformations. On the one hand, gender inequalities emerge when organizations use post‐bureaucratic concepts through digitalization. On the other hand, gender inequalities are reproduced when organizations either program or implement digital technologies and fail to establish control structures that prevent gender biases. This article shows that digitalization can act as a catalyst for inequality‐producing mechanisms, but also has the potential to mitigate inequalities. We argue that organizations must be considered when discussing the potential of exclusion through digitalization.
Sven Siefken und Hilmar Rommetvedt (Hrsg.). 2021. Parliamentary committees in the policy process
(2023)
We conduct a laboratory experiment to study how locus of control operates through people’s preferences and beliefs to influence their decisions. Using the principal–agent setting of the delegation game, we test four key channels that conceptually link locus of control to decision-making: (i) preference for agency, (ii) optimism and (iii) confidence regarding the return to effort, and (iv) illusion of control. Knowing the return and cost of stated effort, principals either retain or delegate the right to make an investment decision that generates payoffs for themselves and their agents. Extending the game to the context in which the return to stated effort is unknown allows us to explicitly study the relationship between locus of control and beliefs about the return to effort. We find that internal locus of control is linked to the preference for agency, an effect that is driven by women. We find no evidence that locus of control influences optimism and confidence about the return to stated effort, or that it operates through an illusion of control.
Atwood (2022) analyzes the effects of the 1963 U.S. measles vaccination on longrun labor market outcomes, using a generalized difference-in-differences approach. We reproduce the results of this paper and perform a battery of robustness checks. Overall, we confirm that the measles vaccination had positive labor market effects. While the negative effect on the likelihood of living in poverty and the positive effect on the probability of being employed are very robust across the different specifications, the headline estimate-the effect on earnings-is more sensitive to the exclusion of certain regions and survey years.
Immense uncertainty and the need for drastic interventions cause politicians to rely heavily on scientific advice for underpinning or legitimating their COVID-19 decision-making. This paper explores the role of scientific advice in this policy field in Germany, Italy, the Netherlands and the UK. It shows that scientific advice is based on the disciplinary, mainly medical, backgrounds of advisors but is also influenced by social and economic values, which are core to what politicians find important. During the pandemic a growing gap between scientific advice and political decisions is observed.
The growing use of digital tools in policy implementation has altered the work of street-level bureaucrats who are granted substantial discretionary power in decision-making. Digital tools can constrain discretionary power, like the curtailment thesis proposed, or serve as action resources, like the enablement thesis suggested. This article assesses empirical evidence of the impact of digital tools on street-level work and decision-making in service-oriented and regulation-oriented organisations based on a systematic literature review and thematic qualitative content analysis of 36 empirical studies published until 2021. The findings demonstrate different effects with regard to the role of digital tools and the core tasks of the public administration, depending on political and managerial goals and consequent system design. Leading or decisive digital tools mostly curtail discretion, especially in service-oriented organisations. In contrast, an enhanced information base or recommendations for actions enable decision-making, in particular in regulation-oriented organisations. By showing how street-level bureaucrats actively try to resist the curtailing effects caused by rigid design to address individual circumstances, for instance by establishing ways of coping like rule bending or rule breaking, using personal resources or prioritising among clients, this study demonstrates the importance of the continuation thesis and the persistently crucial role of human judgement in policy implementation.
Schools are key contexts for the development of adolescents' critical consciousness. We explored how three dimensions of the classroom cultural diversity climate (critical consciousness, color-evasion, and multiculturalism) related to adolescents' critical reflection (i.e., perceived societal Islamophobia) and intended critical action (i.e., political activism). Our sample included adolescents experiencing high (second generation, Muslim, N = 237) versus low (non-immigrant descent, non-Muslim, N = 478) stigmatization in Germany. Multilevel analyses revealed that for both groups a critical consciousness climate, but not a color-evasive or a multicultural climate, was positively associated with perceived societal Islamophobia and intended critical action. Thus, to promote adolescents' critical consciousness, schools should go beyond emphasizing a common humanity and celebrating cultural diversity and include explicit discussions of social inequity.
Analyzing social wrongs
(2023)
Potentially disabled?
(2022)
Ten years ago, I was diagnosed with a rare illness called Myasthenia Gravis. Myasthenia Gravis is a long-term neuromuscular autoimmune disease where antibodies block or destroy specific receptors at the junction between nerve and muscle; hence, nerve impulses fail to trigger muscle contractions. The disease leads to varying degrees of muscle weakness. Currently, I have only minor symptoms, I am not seriously impaired, and I do not suffer from any social disadvantage because of my illness. Yet, my life and my body since my diagnosis feel different than before. In this paper I aim to make this feeling intelligible and propose that it is a state of what I call ‘latent impairment’. Latent impairment is a state of being ‘in between’, different from being actually impaired and also different from being abled-bodied. The theory takes its cues both from social constructionist theories of disability as well as theories of (chronic) illness and their focus on the importance of subjectivity. Furthermore, I suggest that a phenomenological understanding of latent impairment can show possible ways of becoming an ally to the DRM.
Does working in a gender-atypical occupation reduce individuals’ likelihood of finding a different-sex romantic partner, and do such occupational partnership penalties contribute to occupational gender segregation? To answer this question, we theorized partnership penalties for working in gender-atypical occupations by drawing on insights from evolutionary psychology, social constructivism, and rational choice theory and exploited the stability of occupational pathways in Germany. In Study 1, we analyzed observational data from a national probability sample (N= 1,634,944) to assess whether individuals in gender-atypical occupations were less likely to be partnered than individuals who worked in gender typical occupations. To assess whether the observed partnership gaps found in Study 1 were causally related to the gender typicality of men’s and women’s occupations, we conducted a field experiment on a dating app (N = 6,778). Because the findings from Study 2 suggested that young women and men indeed experienced penalties for working in a gender-atypical occupation (at least when they were not highly attractive), we employed a choice-experimental design in Study 3 (N = 1,250) to assess whether women and men were aware of occupational partnership penalties and showed that anticipating occupational partnership penalties may keep young and highly educated women from working in gender-atypical occupations. Our main conclusion therefore is that that observed penalties and their anticipation seem to be driven by unconscious rather than conscious processes.
Sanctions are critical to the Security Council's efforts to fight terrorism. What is striking is that the Council's sanctions regimes are subject to detailed sets of rules and decision criteria. The scholarship on human rights in counterterrorism assumes that rights advocacy and court litigation have prompted this development. The article complements this literature by highlighting an unexplored internal driver of legal-regulatory decision-making and explores how mixed-motive interest constellations among Security Council members have affected the extent of committee regulations and the content of decisions taken by sanctions committees. Based on internal documents and diplomatic cables, a comparative analysis of the Iraq sanctions regime and the counterterrorism sanctions regime demonstrates that mixed-motive interest constellations among Security Council members provide incentives to elaborate rules to guide decision-making resulting in legal-regulatory sanctions governance, even if the human rights of targeted individuals are not at stake. For comparative leverage and to assess the limits of the proposed mechanism, the analysis is briefly extended to other sanctions regimes targeting individuals (Democratic Republic of the Congo and Sudan). The findings have implications for this essential tool of the Security Council to react to threats to peace as diverse as counterterrorism, nonproliferation, and internal armed conflict.
Do all roads lead to Rome?
(2020)
Content website providers have two main goals: They seek to attract consumers and to keep them on their websites as long as possible. To reach potential consumers, they can utilize several online channels, such as paid search results or advertisements on social media, all of which usually require a substantial marketing budget. However, with rising user numbers of online communication tools, website providers increasingly integrate social sharing buttons on their websites to encourage existing consumers to facilitate referrals to their social networks. While little is known about this social form of guiding consumers to a content website, the study proposes that the way in which consumers reach a website is related to their stickiness to the website and their propensity to refer content to others. By using a unique clickstream data set of a video-on-demand website, the study compares consumers referred by their social network to those consumers arriving at the website via organic search or social media advertisements in terms of stickiness to the website (e.g., visit length, number of page views, video starts) and referral likelihood. The results show that consumers referred through social referrals spend more time on the website, view more pages, and start more videos than consumers who respond to social media advertisements, but less than those coming through organic search. Concerning referral propensity, the results indicate that consumers attracted to a website through social referrals are more likely to refer content to others than those who came through organic search or social media advertisements. The study offers direct insights to managers and recommends an increase in their efforts to promote social referrals on their websites.
Do all roads lead to Rome?
(2020)
Content website providers have two main goals: They seek to attract consumers and to keep them on their websites as long as possible. To reach potential consumers, they can utilize several online channels, such as paid search results or advertisements on social media, all of which usually require a substantial marketing budget. However, with rising user numbers of online communication tools, website providers increasingly integrate social sharing buttons on their websites to encourage existing consumers to facilitate referrals to their social networks. While little is known about this social form of guiding consumers to a content website, the study proposes that the way in which consumers reach a website is related to their stickiness to the website and their propensity to refer content to others. By using a unique clickstream data set of a video-on-demand website, the study compares consumers referred by their social network to those consumers arriving at the website via organic search or social media advertisements in terms of stickiness to the website (e.g., visit length, number of page views, video starts) and referral likelihood. The results show that consumers referred through social referrals spend more time on the website, view more pages, and start more videos than consumers who respond to social media advertisements, but less than those coming through organic search. Concerning referral propensity, the results indicate that consumers attracted to a website through social referrals are more likely to refer content to others than those who came through organic search or social media advertisements. The study offers direct insights to managers and recommends an increase in their efforts to promote social referrals on their websites.
One for all, all for one
(2022)
We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social considerations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quantitative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a significant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps' acceptance. Furthermore, we find a substantial intention–behavior gap.
Our study applies legitimacy theorizing to service research, zooming in on co-prosumption service business models, which reside on significant direct contacts among provider-actors and customers as well as fellow customers in the service space. Our findings are based on a longitudinal flexible pattern matching method on 17 coworking spaces. The service cocreation nuances the double role of customers as evaluators and cocreators of legitimacy. This is because customers can have immediate perceptions of the actions and values of the services in their legitimacy evaluation while cocreating the service. Legitimacy shaped via social and recursive processes occurs in three stages: provisional, calibrated, and affirmed legitimacy. Findings inform four trajectory mechanisms of value-in-use pattern provenance, emergent Business Model development adaptive to the spatial context and loyal customers, visible trances as well as inside-out and outside-in identification processes. Further, the processes in the micro-ecosystem of an interstitial service space can develop a superordinate logic which overlays the potentially present coopetive and heterogenous institutional logics and interests of service customers.
Value research has a long and extensive history of theoretical definitions and empirical investigations using large scale quantitative surveys. However, the way the general population understands, defines, and relates to the concept of values, and how these views vary across individuals is seldom addressed. The present study examined subjective interpretations of the term through focus group interviews, and reports on the development of a Value Conceptualisation Scale (VCS) that distinguishes six dimensions of different views on values: normativity, relevance, validity, stability, consistency, and awareness. Focus group interviews (n = 38) as well as several surveys (n = 100, n = 1519, n = 903, n = 94) were used to develop, refine, and test the scale in terms of response variety, temporal stability, as well as convergent and discriminant validity. These systematic results show that views on values do indeed vary significantly between participants. Correlations with dogmatism, preference for consistency, and metacognition were found for corresponding dimensions. The VCS provides an original measure, which enables future research to explore this variation on the conceptualisation of values.
Vienna
(2021)
This book explores and debates the urban transformations that have taken place in Vienna over the past 30 years and their consequences in policy fields such as labour and housing, political and social participation and the environment. Historically, European cities have been characterised by a strong association between social cohesion, quality of life, economic ambition and a robust State. Vienna is an excellent example for that. In more recent years, however, cities were pressured to change policy principles and mechanisms in the context of demographic shifts, post-industrial transformations and welfare recalibration which have led to worsened social conditions in many cities. Each chapter in this volume discusses Vienna's responses to these pressures in key policy arenas, looking at outcomes from the context-specific local arrangements. Against a theoretical framework debating the European city as a model of inclusion and social justice, authors explore the local capacity to innovate urban policies and to address new social risks, while paying attention to potential trade-offs.
The book questions and assesses the city's resilience using time series and an institutional analysis of four key dimensions that characterise the European city model within the context of post-industrial transition: redistribution, recognition, representation and sustainability. It offers a multiscalar perspective of urban governance through labour, housing, participatory and environmental policies, bringing together different levels and public policy types.
Vienna
(2021)
This book explores and debates the urban transformations that have taken place in Vienna over the past 30 years and their consequences in policy fields such as labour and housing, political and social participation and the environment. Historically, European cities have been characterised by a strong association between social cohesion, quality of life, economic ambition and a robust State. Vienna is an excellent example for that. In more recent years, however, cities were pressured to change policy principles and mechanisms in the context of demographic shifts, post-industrial transformations and welfare recalibration which have led to worsened social conditions in many cities. Each chapter in this volume discusses Vienna's responses to these pressures in key policy arenas, looking at outcomes from the context-specific local arrangements. Against a theoretical framework debating the European city as a model of inclusion and social justice, authors explore the local capacity to innovate urban policies and to address new social risks, while paying attention to potential trade-offs.
The book questions and assesses the city's resilience using time series and an institutional analysis of four key dimensions that characterise the European city model within the context of post-industrial transition: redistribution, recognition, representation and sustainability. It offers a multiscalar perspective of urban governance through labour, housing, participatory and environmental policies, bringing together different levels and public policy types.
As research on sexual aggression has been growing, methodological issues in assessing prevalence rates have received increased attention. Building on work by Abbey and colleagues about effects of question format, participants in this study (1,253; 621 female; 632 male) were randomly assigned to one of two versions of the Sexual Aggression and Victimization Scale (SAV-S). In Version 1, the coercive tactic (use/threat of physical force, exploitation of the inability to resist, verbal pressure) was presented first, and sexual acts (sexual touch, attempted and completed sexual intercourse, other sexual acts) were presented as subsequent questions. In Version 2, sexual acts were presented first, and coercive tactics as subsequent questions. No version effects emerged for overall perpetration rates reported by men and women. The overall victimization rate across all items was significantly higher in the tactic-first than in the sexual-act-first conditions for women, but not for men. Classifying participants by their most severe experience of sexual victimization showed that fewer women were in the nonvictim category and more men were in the nonconsensual sexual contact category when the coercive tactic was presented first. Sexual experience background did not moderate the findings. The implications for the measurement of self-reported sexual aggression victimization and perpetration are discussed.
Objective:
Following a life course perspective, this study examines the link between partnership trajectories and three dimensions of psychological well-being: psychological health, overall sense of self-worth and quality of life.
Background:
Assuming that life outcomes are the result of prior decisions, experiences and events, partnership histories can be seen as a resource for psychological well-being. Furthermore, advantages or disadvantages from living with or without a partner should accumulate over time. While previous cross-sectional research has mainly focused on the influence of partnership status or a status change on well-being, prior longitudinal studies could not control for reverse causality of well-being and partnership trajectories. This research addresses the question of how different patterns of partnership biographies are related to a person's well-being in middle adulthood. Selection effects of pre-trajectory well-being as well as current life conditions are also taken into account.
Method:
Using data from the German LifE Study, the partnership trajectories between ages of 16 and 45 are classified by sequence and cluster analysis. OLS regression is then used to examine the link between types of partnership trajectories and depression, self-esteem and overall life satisfaction at age 45.
Results:
For women, well-being declined when experiencing unstable non-cohabitational union trajectories or divorce followed by unpartnered post-marital trajectories. Men suffered most from being long-term single. The results could not be explained by selection effects of pre-trajectory well-being.
Conclusion:
While women seem to 'recover' from most of the negative effects of unstable partnership trajectories through a new partnership, for men it was shown that being mainly unpartnered has long-lasting effects on their psychological well-being.
Across continental Europe, educational research samples are often divided by 'migrant background', a binary variable criticized for masking participant heterogeneity and reinforcing exclusionary norms of belonging.
This study endorses more meaningful, representative, and precise research by offering four guiding questions for selecting relevant, social justice oriented, and feasible social categories for collecting and analysing data in psychological and educational research. Using a preregistered empirical example, we first compare selected social categories ('migrant background', family heritage, religion, citizenship, cultural identification, and generation status) in their potential to reveal participant heterogeneity.
Second, we investigate differences in means and relations between variables (discrimination experiences, perceived societal Islamophobia, and national identity) and academic motivation among 1335 adolescents in Germany (48% female, M-age = 14.69). Regression analyses and multigroup SEM revealed differential experiences with and implications of discrimination for academic motivation.
Results highlight the need for a deliberate, transparent use of social categories to make discrimination visible and centre participants' subjective experiences.
This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude tacitly. We document that firms are less likely to communicate explicitly about price fixing and more likely to use indirect messages when sanctioning institutions are present. This effect of sanctions on communication reinforces the direct cartel-deterring effect of sanctions as collusion is more difficult to reach and sustain without an explicit agreement. Indirect messages have no, or even a negative, effect on prices.
COVID-19
(2021)
We investigate how the economic consequences of the pandemic and the government-mandated measures to contain its spread affect the self-employed — particularly women — in Germany. For our analysis, we use representative, real-time survey data in which respondents were asked about their situation during the COVID-19 pandemic. Our findings indicate that among the self-employed, who generally face a higher likelihood of income losses due to COVID-19 than employees, women are about one-third more likely to experience income losses than their male counterparts. We do not find a comparable gender gap among employees. Our results further suggest that the gender gap among the self-employed is largely explained by the fact that women disproportionately work in industries that are more severely affected by the COVID-19 pandemic. Our analysis of potential mechanisms reveals that women are significantly more likely to be impacted by government-imposed restrictions, e.g., the regulation of opening hours. We conclude that future policy measures intending to mitigate the consequences of such shocks should account for this considerable variation in economic hardship.
Previous literature has shown that task-based goal-setting and distributed learning is beneficial to university-level course performance. We investigate the effects of making these insights salient to students by sending out goal-setting prompts in a blended learning environment with bi-weekly quizzes. The randomized field experiment in a large mandatory economics course shows promising results: the treated students outperform the control group. They are 18.8% (0.20 SD) more likely to pass the exam and earn 6.7% (0.19 SD) more points on the exam. While we cannot causally disentangle the effects of goal-setting from the prompt sent, we observe that treated students use the online learning platform earlier in the semester and attempt more online exercises compared to the control group. The heterogeneity analysis suggests that higher treatment effects are associated with low performance at the beginning of the course.
One for all, all for one
(2022)
We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social considerations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quantitative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a significant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps' acceptance. Furthermore, we find a substantial intention–behavior gap.
In the past years, work-time in many industries has become more flexible, opening up a new channel for intertemporal substitution: workers might, instead of saving, adjust their work-time to smooth consumption. To study this channel, we set up a two-period consumption/saving model with wage uncertainty. This extends the standard saving model by also allowing a worker to allocate a fixed time budget between two work-shifts. To test the comparative statics implied by these two different channels, we conduct a laboratory experiment. A novel feature of our experiments is that we tie income to a real-effort style task. In four treatments, we turn on and off the two channels for consumption smoothing: saving and time allocation. Our main finding is that savings are strictly positive for at least 85 percent of subjects. We find that a majority of subjects also uses time allocation to smooth consumption and use saving and time shifting as substitutes, though not perfect substitutes. Part of the observed heterogeneity of precautionary behavior can be explained by risk preferences and motivations different from expected utility maximization. (c) 2021 Elsevier B.V. All rights reserved.
Using data from the German Socio-Economic Panel and exploiting the staggered implementation of a compulsory schooling reform in West Germany, this article finds that an additional year of schooling lowers the probability of being very concerned about immigration to Germany by around six percentage points (20 percent). Furthermore, our findings imply significant spillovers from maternal education to immigration attitudes of her offspring. While we find no evidence for returns to education within a range of labor market outcomes, higher social trust appears to be an important mechanism behind our findings.
House price expectations
(2023)
This study examines short-, medium-, and long-run price expectations in housing markets. At the heart of our analysis is the combination of data from a tailored in-person household survey, past sale offerings, satellite imagery on developable land, and an information treatment (RCT). As novel finding, we show that price expectations show no evidence for momentum-effects in the long run. We also do not find much evidence for behavioural biases in expectations related to individual housing tenure decisions. Confirming existing findings, we find momentum-effects in the short-run and that individuals, to a limited extend, use aggregate price information to update local expectations. Lastly, we provide suggestive evidence corroborating existing findings that expectations are relevant for portfolio choice.
This study is dedicated to the interdependencies between digital sovereignty and sustainable digitalization, which need to be explicitly linked to an increasing degree in political discourse, academia, and societal debates. Digital skills are the prerequisites for shaping digitalization in the interest of society and sustainable development.
Worth the pain?
(2021)
How do exporting firms react to sanctions? Specifically, which firms are willing — or capable — to serve the market of a sanctioned country? We investigate this question for four sanctions episodes using monthly data on the universe of French exporting firms. We draw on recent econometric advances in the estimation of dynamic fixed effects binary choice models. We find that the introduction of new sanctions in Iran and Russia significantly lowered firm-level probabilities of serving these sanctioned markets, while the (temporary) lifting of the U.S. sanctions on Cuba and the removal of sanctions against Myanmar had no or only small trade-inducing effects, respectively. Additionally, the impact of sanctions is very heterogeneous along firm dimensions and by case particularities. Firms that depend more on trade finance instruments are more strongly affected, while prior experience in the sanctioned country considerably softens the blow of sanctions, and firms can be partly immune to the sanctions effect if they are specialized in serving “crisis countries”. Finally, we find suggestive evidence for sanctions avoidance by exporting indirectly via neighboring countries.
Keep on scrolling?
(2023)
Smartphones are an integral part of daily life for many people worldwide. However, concerns have been raised that long usage times and the fragmentation of daily life through smartphone usage are detrimental to well-being. This preregistered study assesses (1) whether differences in smartphone usage behaviors between individuals predict differences in a variety of well-being measures (between-person effects) and (2) whether differences in smartphone usage behaviors between situations predict whether an individual is feeling better or worse (within-person effects). In addition to total usage time, several indicators capturing the fragmentation of usage/nonusage time were developed. The study combines objectively measured smartphone usage with self-reports of well-being in surveys (N = 236) and an experience sampling period (N = 378, n = 5775 datapoints). To ensure the robustness of the results, we replicated our analyses in a second measurement period (surveys: N = 305; experience sampling: N = 534, n = 7287 datapoints) and considered the pattern of effects across different operational definitions and constructs. Results show that individuals who use their smartphone more report slightly lower well-being (between-person effect) but no evidence for within-person effects of total usage time emerged. With respect to fragmentation, we found no robust association with well-being.
Although mothers and fathers in almost all rich democracies are entitled to some form of paid parenting leave, fathers in particular do not take all the leave available to them. As employers play an important role in the implementation of parenting leave policies, this chapter investigates which workplace characteristics influence mothers' and fathers' uptake of their statutory leave entitlements. In Part 1, we estimate the size of the gap between statutory leave entitlement and leave uptake across genders and countries by combining data from the OECD and the European Labor Force Survey. In Parts 2 and 3, we review the literature on structural, cultural, and normative explanations for the gap in parenting leave uptake. We conclude the chapter with suggestions for further research, including the need for reliable data on the size of the implementation gap and research on non-European countries.
Who suffered most?
(2022)
Objective:
This study examines gender and socioeconomic inequalities in parental psychological wellbeing (parenting stress and psychological distress) during the COVID-19 pandemic in Germany.
Background:
The dramatic shift of childcare and schooling responsibility from formal institutions to private households during the pandemic has put families under enormous stress and raised concerns about caregivers' health and wellbeing. Despite the overwhelming media attention to families’ wellbeing, to date limited research has examined parenting stress and parental psychological distress during the COVID-19 pandemic, particularly in Germany.
Method:
We analyzed four waves of panel data (N= 1,771) from an opt-in online survey, which was conducted between March 2020 and April 2021. Multivariable OLS regressions were used to estimate variations in the pandemic's effects on parenting stress and psychological distress by various demographic and socioeconomic characteristics.
Results:
Overall, levels of parenting stress and psychological distress increased during the pandemic. During the first and third wave of the COVID-19 pandemic, mothers, parents with children younger than 11 years, parents with two or more children, parents working from home as well as parents with financial insecurity experienced higher parenting stress than other sociodemographic groups. Moreover, women, respondents with lower incomes, single parents, and parents with younger children experienced higher levels of psychological distress than other groups.
Conclusion:
Gender and socioeconomic inequalities in parents' psychological wellbeing increased among the study participants during the pandemic.
Phone surveys have increasingly become important data collection tools in developing countries, particularly in the context of sudden contact restrictions due to the COVID-19 pandemic. So far, there is limited evidence regarding the potential of the messenger service WhatsApp for remote data collection despite its large global coverage and expanding membership. WhatsApp may offer advantages in terms of reducing panel attrition and cutting survey costs. WhatsApp may offer additional benefits to migration scholars interested in cross-border migration behavior which is notoriously difficult to measure using conventional face-to-face surveys. In this field experiment, we compared the response rates between WhatsApp and interactive voice response (IVR) modes using a sample of 8446 contacts in Senegal and Guinea. At 12%, WhatsApp survey response rates were nearly eight percentage points lower than IVR survey response rates. However, WhatsApp offers higher survey completion rates, substantially lower costs and does not introduce more sample selection bias compared to IVR. We discuss the potential of WhatsApp surveys in low-income contexts and provide practical recommendations for field implementation.
How can labour market institutions make workers confident about their economic future? While quantitative studies have repeatedly shown that countries’ labour market regulations and policies are related to variations in workers’ perceived job security, these studies did not explain how these institutions affect workers’ perceptions and expectations. This study seeks to close this gap by analysing qualitative interview data collected on employees in Germany and the U.S. during the great financial crisis (2009–2010). The study's main finding is that policies vary in their effectiveness at making workers feel secure about their jobs. While unemployment assistance can reduce workers’ worries about job loss, dismissal protection does not seem to effectively increase workers’ confidence that their jobs are secure. Overall, employees know relatively little about the policies and regulations that are meant to protect them and have limited trust in their effectiveness. Individual and organisational characteristics seem to be more relevant for employees’ feelings of job security than national-level policies. In particular, comparisons with others who have lower levels of protection increase workers’ perceived security. These insights are particularly important in light of the ongoing changes in the world of work that are making workers’ lives more uncertain and insecure.
A growing number of studies have recently postulated a so-called local turn in the study of immigrant and refugee integration policy. A fundamental, yet untested, assumption of this body of research is that local (sub-national) policies and administrations shape how migrants and refugees integrate into society. We develop and apply an analytical model using multilevel modeling techniques based on large-N, longitudinal survey data (N > 9000) with refugees (2012–2018) in a highly decentralized country (Germany) to estimate the scope for local policy effects net of individual-level and state- and district-level characteristics. We show that region and district-level variation in integration outcomes across multiple dimensions (employment, education, language, housing, social) is limited (∼5%) within 4–8 years after immigration. We find modest variation in policy indicators (∼10%), which do not appear to directly translate into outcomes. We discuss implications for the study of local policies and the potential for greater convergence between administrative and political science, interested in governance structures and policy variation, and sociology and economics, interested primarily in integration outcomes.
In a comparison of three human service organisations in which the human body plays a key role, we examine how organisations regulate religious body practices. We concentrate on Muslim norms of dressing and undressing as a potential focal point of cultural and religious diversity. Inspired by Ray’s (2019) idea of racialized organizations, we assume that state-run organizations in Germany are characterized by a strong commitment to religious tolerance and non-discrimination but also marked by anti- Muslim sentiment prevalent among the German population. Our study looks for mechanism that explain how Human Service Organizations accommodate Muslim body practices. It draws on qualitative empirical data collected in state-run hospitals, schools and swimming pools in Germany. Our analyses show that the organizations draw on formal and informal rules at the organizational level to accommodate Islam. We identify five general organizational mechanisms that may hinder Muslim accommodation in human service organizations. In particular, we see a risk of decoupling between the expectation of religious tolerance and processes that lead to informal discrimination, driven mainly by the difficulty of controlling group dynamics among users.
Risky journeys
(2022)
In response to well-documented harms inflicted on irregular migrants attempting to travel from West Africa to Europe, various actors have scaled up information interventions to counter misinformation by smuggling networks and facilitate safe migration decisions. Many interventions include information on the potential dangers involved in migration. However, there is a striking lack of empirical evidence assessing a key assumption of campaign effectiveness, that is the relationship between risk perceptions and the decision to migrate irregularly. This study contributes an empirical account based on two independently collected surveys in Senegal and Guinea. Consistent with rational choice theories on migration decisions under uncertainty, the results suggest that higher risk perceptions are consistently and strongly associated with reduced intentions to migrate irregularly. Yet, the explanatory power of risk perceptions depends on context and is generally less important than structural and socio-economic factors.
The digitization process has triggered a profound transformation of modern societies. It encompasses a broad spectrum of technical, social, political, cultural and economic developments related to the mass use of computer- and internet-based technologies. It is now becoming increasingly clear that digitization is also changing existing structures of social inequality and that new structures of digital inequality are emerging. This is shown by a growing number of recent individual studies. In this paper, we set ourselves the task of systematizing this new research within the framework of an empirically supported literature review. To do so, we use the PRISMA model for literature reviews and focus on three central dimensions of inequality - ethnicity, gender, and age - and their relevance within the discourse on digitization and inequality. The empirical basis consists of journal articles published between 2000 and 2020 and listed on the Web of Science, as well as an additional Google Scholar search, through which we attempt to include important monographs and contributions to edited volumes in our analyses. Our text corpus thus comprises a total of 281 articles. Empirically, our literature review shows that unequal access to digital resources largely reproduces existing structures of inequality; in some cases, studies report a reduction in social inequalities as a result of the digitization process.
This essay takes an Anglophone Cultural Studies approach to reflect on the interdependence among as well as the individual (implicit) impact of the elements constituting our (embodied) power structures. These are, e.g., bodily experience/s such as shame and fear, everyday and institutional discourses and practices, but also manifestations of differences and particularities that we transform into phenomena such as “norms”, “binary systems” and “binary organisations”. The analysis of seemingly cyclic “Othering processes” and patterns of violence shows how people who identify as trans*, inter*, or non-binary have to live through and embody epistemological, emotional, and/or physical violence. At the same time, the descriptions illustrate numberless potential forms of resistance and change.
Cross-national variation in the relationship between welfare generosity and single mother employment
(2022)
Reform of the U.S. welfare system in 1996 spurred claims that cuts to welfare programs effectively incentivized single mothers to find employment. It is difficult to assess the veracity of those claims, however, absent evidence of how the relationship between welfare benefits and single mother employment generalizes across countries. This study combines data from the European Union Labour Force Survey and the U.S. Current Population Survey (1992-2015) into one of the largest samples of single mothers ever, testing the relationships between welfare generosity and single mothers’ employment and work hours. We find no consistent evidence of a negative relationship between welfare generosity and single mother employment outcomes. Rather, we find tremendous cross-national heterogeneity, which does not clearly correspond to well-known institutional variations. Our findings demonstrate the limitations of single country studies and the pervasive, salient interactions between institutional contexts and social policies.
In response to mounting evidence of harm inflicted on irregular migrants along their journeys from West Africa to Europe, international organizations, civil society organizations, and governments have scaled up campaigns as a tool for raising awareness about the risks of irregular migration. Campaigns aim to counter misinformation by smugglers and facilitate safe migration decisions. Despite the growing number of interventions, there is limited empirical evidence on the impact and effectiveness of such campaigns. Based on a difference-in-difference design, this study investigates the effect of a mobile cinema and community discussion intervention on the perceptions, knowledge, and intentions of potential irregular migrants in Northern Guinea in 2019. The results show that potential migrants who participated in events were significantly more likely to show awareness gains and less likely to report high intentions to migrate irregularly. While the relative importance of risk perceptions and their impact on migration flows remain unclear, the findings provide evidence supporting the assumption that risk awareness can be a relevant factor in the decision-making process of potential irregular migrants. While campaigns may be an effective tool in certain contexts, effect sizes highlight the need for policymakers to keep realistic expectations.
Web scraping, a technique for extracting data from web pages, has been in use for decades, yet its utilization in the field of migration, mobility, and migrant integration studies has been limited. The field faces notorious limitations regarding data access and availability, particularly in low-income settings. Web scraping has the potential to provide new datasets for further qualitative and quantitative analysis. Web scraping requires no financial resources, is agnostic to epistemic divides in the field, reduces researcher bias, and increases transparency and replicability of data collection. As large providers of digital data such as Facebook or Twitter increasingly restrict access to their data for researchers, web scraping will become more important in the future and deserves its place in the toolbox of migration and mobility scholars. This short and nontechnical methods note introduces the fundamental concepts of web scraping, provides guidance on how to learn the technique, showcases practical applications of web scraping in the study of migrant populations, and discusses potential future use cases.
Background:
Like most countries, Germany is currently recruiting international nurses due to staff shortages. While these are mostly academic, the academisation of nursing in Germany has only just begun. This allows for a broader look at the participation of migrant nurses: How do care teams deal with the fact that immigrant colleagues are theoretically more highly qualified than long-established colleagues?
Methods:
Case studies were conducted in four inpatient care teams of two hospitals in 2022. Qualitative data include 26 observation protocols, 4 group discussions and 17 guided interviews. These were analysed using the documentary method and validated intersubjectively.
Results:
Due to current academisation efforts in Germany and the immigration of academised nursing staff from abroad, the areas of activity and responsibility of nursing in Germany are under negotiating pressure. This concerns basic care for example, which in Germany is provided by skilled workers, but in other countries is mostly provided by assistants or relatives. The question of who should provide basic care, whether all nurses or only nursing assistants, documents the struggle between an established and a new understanding of care. In this context, the knowledge and skills of migrant and academicised care workers become a crucial aspect in the struggle for a new professional identity for care in Germany.
Conclusions:
The specific situation in Germany makes it possible to show the potential for change that international care migration can constitute for destination countries. The far-reaching process of change of German nursing is given a further dimension not only by its academization, but by the immigration of international and academically trained nursing staff, where inclusive or exclusive effects can already be observed.
Key messages: The increasing proportion of migrant nurses accelerates the current discussion on nursing in Germany. Conflict areas show up in everyday work of care teams and must be addressed there.
Risk perceptions of individuals living in single-parent households during the COVID-19 crisis
(2023)
The COVID-19 crisis had severe social and economic impact on the life of most citizens around the globe. Individuals living in single-parent households were particularly at risk, revealing detrimental labour market outcomes and assessments of future perspectives marked by worries. As it has not been investigated yet, in this paper we study, how their perception about the future and their outlook on how the pandemic will affect them is related to their objective economic resources. Against this background, we examine the subjective risk perception of worsening living standards of individuals living in single-parent households compared to other household types, their objective economic situation based on the logarithmised equivalised disposable household incomes and analyse the relationship between those indicators. Using the German SOEP, including the SOEP-CoV survey from 2020, our findings based on regression modelling reveal that individuals living in single-parent households have been worse off during the pandemic, facing high economic insecurity. Path and interaction models support our assumption that the association between those indicators may not be that straightforward, as there are underlying mechanisms–such as mediation and moderation–of income affecting its direction and strength. With respect to our central hypotheses, our empirical findings point toward (1) a mediation effect, by demonstrating that the subjective risk perception of single-parent households can be partly explained by economic conditions. (2) The moderating effect suggests that the concrete position at the income distribution of households matters as well. While at the lower end of the income distribution, single-parent households reveal particularly worse risk perceptions during the pandemic, at the high end of the income spectrum, risk perceptions are similar for all household types. Thus, individuals living in single-parent households do not perceive higher risks of worsening living standards due to their household situation per se, but rather because they are worse off in terms of their economic situation compared to individuals living in other household types.
Social institutions
(2024)
Social institutions are a system of behavioral and relationship patterns that are densely interwoven and enduring and function across an entire society. They order and structure the behavior of individuals in core areas of society and thus have a strong impact on the quality of life of individuals. Institutions regulate the following: (a) family and relationship networks carry out social reproduction and socialization; (b) institutions in the realm of education and training ensure the transmission and cultivation of knowledge, abilities, and specialized skills; (c) institutions in the labor market and economy provide for the production and distribution of goods and services; (d) institutions in the realm of law, governance, and politics provide for the maintenance of the social order; (e) while cultural, media, and religious institutions further the development of contexts of meaning, value orientations, and symbolic codes.
Nowadays, innovative and entrepreneurial activities and their actors are embedded in interdependent systems to drive joint value creation. Innovation ecosystems and entrepreneurial ecosystems have become established system-level concepts in management research to explain how value transpires between different actors and institutions in distinct contexts. Despite the popularity of the concepts, researchers have critiqued their theoretical depth, conceptual distinctiveness, as well as operationalization and measurement (Autio & Thomas, 2022; Klimas & Czakon, 2022). Furthermore, in light of current-day challenges, research has yet to address how context impacts innovation and entrepreneurial ecosystems and their actors and elements (Wurth et al., 2022).
The aim of this cumulative thesis is to provide a deeper understanding of the conceptualization, operationalization, and measurement of innovation and entrepreneurial ecosystems and investigate how contextual factors can influence the overall ecosystem and its key actors. To this end, bibliometric and empirical-qualitative methods, as well as narrative and systematic literature reviews, are employed. After introducing the research scope and key concepts in Chapter 1, a systematic literature review to operationalize and measure the concept of innovation ecosystems is conducted, and an integrative framework of its composition is introduced in Chapter 2. In Chapter 3, the innovation journal network is outlined by means of science mapping to determine current and emerging research areas characterizing innovation studies. In Chapters 4 and 5, the interplay between the temporal context of the Covid-19 pandemic and the spatial context of entrepreneurial ecosystems is assessed by focusing on the role of organizational resilience and affordances. The findings shed new light on the dynamics and boundaries of entrepreneurial ecosystems as they move between the spatial and digital realm. Building on this, an integrative framework of digital entrepreneurial ecosystems is presented in Chapter 6. The concluding Chapter 7 summarizes my thesis’s conceptual, theoretical, and empirical insights, highlighting implications, limitations, and promising future research avenues.
The findings of this cumulative thesis contribute to the theoretical and conceptual advancement of ecosystems in innovation and entrepreneurship by providing insights into the measurement and operationalization of its elements. Furthermore, the results show that contextual factors, such as crisis events or institutional circumstances, influence innovation and entrepreneurial ecosystems and their actors, calling for a more nuanced consideration of ecosystem configurations and dynamics. By drawing from the theory of affordances, the elements that actually afford value to the actors and how they shift between the physical and digital realm are portrayed. Based on these findings, this thesis introduces novel frameworks and conceptual advancements of the configurations and boundaries of innovation and (digital) entrepreneurial ecosystems, laying the foundation for a renewed understanding of how to design, orchestrate, and evaluate ecosystems today and in the future.
This article examines how contact with perceived foreigners affects natives' attitudes towards immigration. Using six waves of individual level panel data from Germany (2007-2017), we find that natives' reported mutual visits with foreigners reduce worries about immigration. However, the results do not imply an increase in this effect in the course of repeated contact. Our analyses also consider the possibility that the effect of out-group contact on attitudes is heterogeneous across social groups. Our results show that contact effects are not restricted to younger age groups but also hold for older age groups. Surprisingly, there are stronger reductions in worries among right-leaning compared to left-leaning individuals.
SNS Democracy Council 2023
(2023)
Transboundary problems such as climate change, military conflicts, trade barriers, and refugee flows require increased collaboration across borders. This is to a large extent possible using existing international organizations. In such a case, however, they need to be considerably strengthened – while current trends take us in the opposite direction, according to the researchers in the SNS Democracy Council 2023.
International organizations (IOs) experience significant variation in their decision-making performance, or the extent to which they produce policy output. While some IOs are efficient decision-making machineries, others are plagued by deadlock. How can such variation be explained? Examining this question, the article makes three central contributions. First, we approach performance by looking at IO decision-making in terms of policy output and introduce an original measure of decision-making performance that captures annual growth rates in IO output. Second, we offer a novel theoretical explanation for decision-making performance. This account highlights the role of institutional design, pointing to how majoritarian decision rules, delegation of authority to supranational institutions, and access for transnational actors (TNAs) interact to affect decision-making. Third, we offer the first comparative assessment of the decision-making performance of IOs. While previous literature addresses single IOs, we explore decision-making across a broad spectrum of 30 IOs from 1980 to 2011. Our analysis indicates that IO decision-making performance varies across and within IOs. We find broad support for our theoretical account, showing the combined effect of institutional design features in shaping decision-making performance. Notably, TNA access has a positive effect on decision-making performance when pooling is greater, and delegation has a positive effect when TNA access is higher. We also find that pooling has an independent, positive effect on decision-making performance. All-in-all, these findings suggest that the institutional design of IOs matters for their decision-making performance, primarily in more complex ways than expected in earlier research.
Immigrant integration has become a primary political concern for leaders in Germany and the United States. The information systems (IS) community has begun to research how information and communications technologies can assist immigrants and refugees, such as by examining how countries can facilitate social-inclusion processes. Migrants face the challenge of joining closed communities that cannot integrate or fear doing so. We conducted a panel discussion at the 2019 Americas Conference on Information Systems (AMCIS) in Cancun, Mexico, to introduce multiple viewpoints on immigration. In particular, the panel discussed how technology can both support and prevent immigrants from succeeding in their quest. We conducted the panel to stimulate a thoughtful and dynamic discussion on best practices and recommendations to enhance the discipline's impact on alleviating the challenges that occur for immigrants in their host countries. In this panel report, we introduce the topic of using ICT to help immigrants integrate and identify differences between North/Central America and Europe. We also discuss how immigrants (particularly refugees) use ICT to connect with others, feel that they belong, and maintain their identity. We also uncover the dark and bright sides of how governments use ICT to deter illegal immigration. Finally, we present recommendations for researchers and practitioners on how to best use ICT to assist with immigration.
There is a growing recognition that international organizations (IOs) formulate and adopt policy in a wide range of areas. IOs have emerged as key venues for states seeking joint solutions to contemporary challenges such as climate change or COVID-19, and to establish frameworks to bolster trade, development, security, and more. In this capacity, IOs produce both extraordinary and routine policy output with a multitude of purposes, ranging from policies of historic significance like admitting new members to the more mundane tasks of administering IO staff. This article introduces the Intergovernmental Policy Output Dataset (IPOD), which covers close to 37,000 individual policy acts of 13 multi-issue IOs in the 1980–2015 period. The dataset fills a gap in the growing body of literature on the comparative study of IOs, providing researchers with a fine-grained perspective on the structure of IO policy output and data for comparisons across time, policy areas, and organizations. This article describes the construction and coverage of the dataset and identifies key temporal and cross-sectional patterns revealed by the data. In a concise illustration of the dataset’s utility, we apply models of punctuated equilibria in a comparative study of the relationship between institutional features and broad policy agenda dynamics. Overall, the Intergovernmental Policy Output Dataset offers a unique resource for researchers to analyze IO policy output in a granular manner and to explore questions of responsiveness, performance, and legitimacy of IOs.
When are international organizations (IOs) responsive to the policy problems that motivated their establishment? While it is a conventional assumption that IOs exist to address transnational challenges, the question of whether and when IO policy-making is responsive to shifts in underlying problems has not been systematically explored. This study investigates the responsiveness of IOs from a large-n, comparative approach. Theoretically, we develop three alternative models of IO responsiveness, emphasizing severeness, dependence, and power differentials. Empirically, we focus on the domain of security, examining the responsiveness of eight multi-issue IOs to armed conflict between 1980 and 2015, using a novel and expansive dataset on IO policy decisions. Our findings suggest, first, that IOs are responsive to security problems and, second, that responsiveness is not primarily driven by dependence or power differentials but by problem severity. An in-depth study of the responsiveness of the UN Security Council using more granular data confirms these findings. As the first comparative study of whether and when IO policy adapts to problem severity, the article has implications for debates about IO responsiveness, performance, and legitimacy.
The limitations and possibilities of the state in solving societal problems are perennial issues in the political and policy sciences and increasingly so in studies of environmental politics. With the aim of better understanding the role of the state in addressing environmental degradation through policy making, this article investigates the nexus between the environmental policy outputs and the environmental performance. Drawing on three theoretical perspectives on the state and market nexus in the environmental dilemma, we identify five distinct pathways. We then examine the extent to which these pathways are manifested in the real world. Our empirical investigation covers up to 37 countries for the period 1970–2010. While we see no global pattern of linkages between policy outputs and performance, our exploratory analysis finds evidence of policy effects, which suggest that the state can, under certain circumstances, improve the environment through policy making.
German secondary education is known for its early, strict selection of students into different schooling tracks based on prior academic performance, based on the assumption that students learn more efficiently when the learning environment is tailored to their individual abilities and needs. While much previous research has shown that entry into tracks is socially selective, less is known whether there are effects of being exposed to a particular school track on educational success and which mechanisms are contributing to these effects. We investigate this question by comparing the learning progress in reading and mathematics of students in the upper and intermediate schooling track over five years of secondary schooling, based on large-scale German-wide longitudinal data (NEPS-SC3). Even when restricting our sample to a group of students with similar preconditions and controlling for skills at the beginning of secondary schooling, we find that the learning progress in the upper track is higher for both domains, suggesting scissor effects of track exposure. It is mainly the average performance level of the class, and to a lesser degree its social background composition, which mediates these effects. In contrast, migration background composition of the class and instructional quality perceived by students hardly contribute to explaining increasing learning gains in the upper track.
Reply and Counter-Reply
(2023)
This article responds to critical reflections on my Beyond Presidentialism and Parliamentarism by Sarah Birch, Kevin J. Elliott, Claudia Landwehr and James L. Wilson. It discusses how different types of representative democracy, especially different forms of government (presidential, parliamentary or hybrid), can be justified. It clarifies, among other things, the distinction between procedural and process equality, the strengths of semi-parliamentary government, the potential instability of constitutional designs, and the difference that theories can make in actual processes of constitutional reform.
Review symposium
(2023)
Steffen Ganghof’s Beyond Presidentialism and Parliamentarism: Democratic Design and the Separation of Powers (Oxford University Press, 2021) posits that “in a democracy, a constitutional separation of powers between the executive and the assembly may be desirable, but the constitutional concentration of executive power in a single human being is not” (Ganghof, 2021). To consider, examine and theorise about this, Ganghof urges engagement with semi-parliamentarism. As explained by Ganghof, legislative power is shared between two democratically legitimate sections of parliament in a semi-parliamentary system, but only one of those sections selects the government and can remove it in a no-confidence vote. Consequently, power is dispersed and not concentrated in the hands of any one person, which, Ganghof argues, can lead to an enhanced form of parliamentary democracy. In this book review symposium, George Tsebelis, Michael Thies, José Antonio Cheibub, Rosalind Dixon and Daniel Bogéa review Steffen Ganghof’s book and engage with the author about aspects of research design, case selection and theoretical argument. This symposium arose from an engaging and constructive discussion of the book at a seminar hosted by Texas A&M University in 2022. We thank Prof José Cheibub (Texas A&M) for organising that seminar and Dr Anna Fruhstorfer (University of Potsdam) for initiating this book review symposium.
Structural duration conveys stability but also resilience in central government and is therefore a key issue in the debate on the structure and organization of government. This paper discusses three core variants of structural duration to study the explanatory relevance of politics. We compare these durations across ministerialunits in four European democracies (Germany, France, The Netherlands, and Norway) from 1980 to 2013, totaling over 17,000 units. Our empirical analyses show that cabinets’ ideological turnover and extremism are the most significant predictors of all variants of duration, whereas polarization in parliament as well as new prime ministers without office experience yield the predicted significant negative effects for most models. We discuss these findings and avenues for futureresearch that acknowledge the definition and measures for structural change as well as temporal aspects of the empirical phenomenon more explicitly.
Do internships pay off?
(2022)
We study the causal effect of student internship experience in firms on earnings later in life. We use mandatory firm internships at German universities as an instrument for doing a firm internship while attending university. Employing longitudinal data from graduate surveys, we find positive and significant earnings returns of about 6 percent in both ordinary least squares (OLS) and instrumental variables (IV) regressions. The positive returns are particularly pronounced for individuals and areas of study that are characterized by a weak labor market orientation. The empirical findings show that graduates who completed a firm internship face a lower risk of unemployment during the first year of their careers, suggesting a smoother transition to the labor market.
In this article, we examine the effects of political change on name changes of units within central government ministries. We expect that changes regarding the policy position of a government will cause changes in the names of ministerial units. To this end we formulate hypotheses combining the politics of structural choice and theories of portfolio allocation to examine the effects of political changes at the cabinet level on the names of intra-ministerial units. We constructed a dataset containing more than 17,000 observations on name changes of ministerial units between 1980 and 2013 from the central governments of Germany, the Netherlands, and France. We regress a series of generalized estimating equations (GEE) with population averaging models for binary outcomes. Finding variations across the three political-bureaucratic systems, we overall report positive effects of governmental change and ideological positions on name changes within ministries.
Creativity is a crucial part of policy capacity in governments. Existing studies on creative behavior in the public sector assess employees' openness to new ideas and creative solutions, and they confirm the relevance of organizational and individual determinants for pro-creativity attitudes. Yet we lack systemic evidence on the explicit level of work-related creativity among policy officials in government organizations. At the same time, novel technologies and particularly social networking services change the working environment of policy officials radically, alter organizational features, and may also yield crucial individual effects. Our study analyses “policy creativity” of policy officials in three European governments. We demonstrate the importance of organizational and individual features, including the stress triggered by using social networking services. Our study captures officials' creativity explicitly and adds to debates on creativity and innovation in the public sector as well as the micro-level foundations of the digital transformation in the public sector.
Beyond good faith
(2021)
The ambitious climate targets set by industrialized nations worldwide cannot be met without decarbonizing the building stock. Using Germany as a case study, this paper takes stock of the extensive set of energy efficiency policies that are already in place and clarifies that they have been designed “in good faith” but lack in overall effectiveness as well as cost-efficiency in achieving these climate targets. We map out the market failures and behavioural considerations that are potential reasons for why realized energy savings fall below expectations and why the household adoption of energy-efficient and low-carbon technologies has remained low. We highlight the pressing need for data and modern empirical research to develop targeted and cost-effective policies seeking to correct these market failures. To this end, we identify some key research questions and identify gaps in the data required for evidence-based policy.
Despite energy efficiency measures, global energy demand has gradually increased due to global economic growth and changes in consumer behavior. Even if people are aware of the problem and want to change their energy consumption, they have difficulty acting on their attitudes. This is called the attitude-behavior gap. To narrow this gap and reduce energy consumption and CO2 emissions, behavioral interventions beyond technological advances must be considered. A promising intervention is nudging, which uses insights from behavioral economics to gently nudge individuals toward more sustainable choices. In this study, we investigate how modifying digital choice architectures with nudges can be used to influence consumer energy conservation behavior in smart home applications (SHAs). We conducted an online experiment with 391 participants to test the effectiveness of the following three digital nudges in an SHA: self-commitment, reminder, and social norm nudge. While the results of a structural equation model indicated no effect on bridging the gap between attitude and behavior, we found the potential to promote energy conservation with two nudge types. Thus, this paper makes substantial contribution to persuasive and information systems-enabled sustainability for a better world in the form of digital nudges for emerging technologies.
We extend standard models of work-related training by explicitly incorporating workers’ locus of control into the investment decision through the returns they expect. Our model predicts that higher internal control results in increased take-up of general, but not specific, training. This prediction is empirically validated using data from the German Socioeconomic Panel (SOEP). We provide empirical evidence that locus of control influences participation in training through its effect on workers’ expectations about future wage increases rather than actual wage increases. Our results provide an important explanation for underinvestment in training and suggest that those with an external sense of control may require additional training support.
In response to mounting evidence on the dangers of irregular migration from Africa to Europe, the number of information campaigns which aim to raise awareness about the potential risks has rapidly increased. Governments, international organizations and civil society organizations implement a variety of campaigns to counter the spread of misinformation accelerated by smuggling and trafficking networks. The evidence on the effects of such information interventions on potential migrants remains limited and largely anecdotal. More generally, the role of risk perceptions in the decision-making process of potential irregular migrants is rarely explicitly tested, despite the fact that the concept of risk pervades conventional migration models, particularly in the field of economics. We address this gap by assessing the effects of a peer-to-peer information intervention on the perceptions, knowledge and intentions of potential migrants in Dakar, Senegal, using a randomized controlled trial design. The results show that - three months after the intervention - peer-to-peer information events increase potential migrants' subjective information levels, raise risk awareness, and reduce intentions to migrate irregularly. We find no substantial effects on factual migration knowledge. We discuss how the effects may be driven by the trust and identification-enhancing nature of peer-to-peer communication. <br /> (c) 2021 Elsevier Ltd. All rights reserved.
Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the "gold standard " of human-coded sentiments. Literature reviews constitute a challenging text corpus for computational analysis as they not only contain different text levels-for example, a summary of the work and the reviewer's appraisal-but are also characterized by subtle and ambiguous language elements. To take the nuanced sentiments of literature reviews into account, we worked with a metric rather than a dichotomous scale for sentiment analysis. The results of our analyses show that the predicted sentiments of prefabricated dictionaries, which are computationally efficient and require minimal adaption, have a low to medium correlation with the human-coded sentiments (r between 0.32 and 0.39). The accuracy of self-created dictionaries using word embeddings (both pre-trained and self-trained) was considerably lower (r between 0.10 and 0.28). Given the high coding intensity and contingency on seed selection as well as the degree of data pre-processing of word embeddings that we found with our data, we would not recommend them for complex texts without further adaptation. While fully automated approaches appear not to work in accurately predicting text sentiments with complex texts such as ours, we found relatively high correlations with a semiautomated approach (r of around 0.6)-which, however, requires intensive human coding efforts for the training dataset. In addition to illustrating the benefits and limits of computational approaches in analyzing complex text corpora and the potential of metric rather than binary scales of text sentiment, we also provide a practical guide for researchers to select an appropriate method and degree of pre-processing when working with complex texts.
We analyze workers’ risk preferences and training investments. Our conceptual framework differentiates between the investment risk and insurance mechanisms underpinning training decisions. Investment risk leads risk-averse workers to train less; they undertake more training if it insures them against future losses. We use the German Socio-Economic Panel (SOEP) to demonstrate that risk affinity is associated with more training, implying that, on average, investment risks dominate the insurance benefits of training. Crucially, this relationship is evident only for general training; there is no relationship between risk attitudes and specific training. Thus, consistent with our conceptual framework, risk preferences matter more when skills are transferable – and workers have a vested interest in training outcomes – than when they are not. Finally, we provide evidence that the insurance benefits of training are concentrated among workers with uncertain employment relationships or limited access to public insurance schemes.
Background:
The literature on start-up subsidies (SUS) for the unemployed finds positive effects on objective outcome measures such as employment or income. However, little is known about effects on subjective well-being of participants. Knowledge about this is especially important because subsidizing the transition into self-employment may have unintended adverse effects on participants’ well-being due to its risky nature and lower social security protection, especially in the long run.
Objective:
We study the long-term effects of SUS on subjective outcome indicators of well-being, as measured by the participants’ satisfaction in different domains. This extends previous analyses of the current German SUS program (“Gründungszuschuss”) that focused on objective outcomes—such as employment and income—and allows us to make a more complete judgment about the overall effects of SUS at the individual level.
Research design:
Having access to linked administrative-survey data providing us with rich information on pretreatment characteristics, we base our analysis on the conditional independence assumption and use propensity score matching to estimate causal effects within the potential outcomes framework. We perform several sensitivity analyses to inspect the robustness of our findings.
Results:
We find long-term positive effects on job satisfaction but negative effects on individuals’ satisfaction with their social security situation. Supplementary findings suggest that the negative effect on satisfaction with social security may be driven by negative effects on unemployment and retirement insurance coverage. Our heterogeneity analysis reveals substantial variation in effects across gender, age groups, and skill levels. Estimates are highly robust.
Developing countries are increasingly impacted by floods, especially in Asia. Traditional flood risk man-agement, using structural measures such as levees, can have negative impacts on the livelihoods of social groups that are more vulnerable. Ecosystem-based adaptation (EbA) provides a complementary approach that is potentially more inclusive of groups that are commonly described as more vulnerable, such as the poor and women. However, there is a lack of disaggregated and quantitative information on the potential of EbA to support vulnerable groups of society. This paper provides a quantitative analysis of the differ-ences in vulnerability to flooding as well as preferences for EbA benefits across income groups and gen -der. We use data collected through a survey of households in urban and rural Central Vietnam which included a discrete choice experiment on preferences for ecosystem services. A total of 1,010 households was surveyed during 2017 through a random sampling approach. Preferences are measured in monetary and non-monetary terms to avoid issues that may arise from financial constraints faced by respondents and especially the more vulnerable groups. Our results reveal that lower income households and women are overall more vulnerable than their counterparts and have stronger preferences for the majority of the EbA benefits, including flood protection, seafood abundance, tourism, and recreation suitability. These findings strongly indicate that EbA is indeed a promising tool to support groups of society that are espe-cially vulnerable to floods. These results provide crucial insights for future implementation of EbA pro-jects and for the integration of EbA with goals targeted at complying with the Sendai Framework and Sustainable Development Goals. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
This study analyses the impact of managers’ risk preferences on their training allocation decisions. We begin by providing nationally representative evidence that managers’ risk-aversion is negatively correlated with the likelihood that their firms engage in any worker training. Using a novel vignette study, we then demonstrate that risk-tolerant and risk-averse decision makers have significantly different training preferences. Risk aversion results in increased sensitivity to turnover risk. Managers who are risk-averse offer less general training and are more reluctant to train workers with a history of job mobility. Adopting a weighting approach to flexibly control for observed differences in the characteristics of risk-averse and risk-tolerant managers, we show that our findings cannot be explained by heterogeneity in either managers’ observed characteristics or the type of firms where they work. All managers, irrespective of their risk preferences, are sensitive to the investment risk associated with training, avoiding training that is more costly or that targets those with less occupational expertise or nearing retirement. This provides suggestive evidence that the risks of training are primarily due to the risk that trained workers will leave the firm (turnover risk) rather than the risk that the benefits of training do not outweigh the costs (investment risk).
Using a novel agent-based model, we study how US withdrawal might influence the political process established by the Paris Agreement, and hence the prospects for reaching the collective goal to limit warming below 2 degrees C. Our model enables us to analyze to what extent reaching this goal despite US withdrawal would place more stringent requirements on other core elements of the Paris cooperation process. We find, first, that the effect of a US withdrawal depends critically on the extent to which member countries reciprocate others' promises and contributions. Second, while the 2 degrees C goal will likely be reached only under a very small set of conditions in any event, even temporary US withdrawal will further narrow this set significantly. Reaching this goal will then require other countries to step up their ambition at the first opportunity and to comply nearly 100% with their pledges, while maintaining high confidence in the Paris Agreements institutions. Third, although a US withdrawal will first primarily affect the United States' own emissions, it will eventually prove even more detrimental to other countries' emissions.
BACKGROUND
Anticipating changes in international migration patterns is useful for demographic studies and for designing policies that support the well-being of those involved. Existing forecasting methods do not account for a number of stylized facts that emerge from large-scale migration observations and theories: existing migrant communities - diasporas - act to lower migration costs and thereby provide a mechanism of self-amplification; return migration and transit migration are important components of global migration flows; and poverty constrains emigration.
OBJECTIVE
Here we present hindcasts and future projections of international migration that explicitly account for these nonlinear features.
METHODS
We develop a dynamic model that simulates migration flows by origin, destination, and place of birth. We calibrate the model using recently constructed global datasets of bilateral migration.
RESULTS
We show that the model reproduces past patterns and trends well based only on initial migrant stocks and changes in national incomes. We then project migration flows under future scenarios of global socioeconomic development.
CONCLUSIONS
Different assumptions about income levels and between-country inequality lead to markedly different migration trajectories, with migration flows either converging towards net zero if incomes in presently poor countries catch up with the rest of the world; or remaining high or even rising throughout the 21st century if economic development is slower and more unequal. Importantly, diasporas induce significant inertia and sizable return migration flows.
Reacting, fast and slow
(2021)
The COVID-19 pandemic created extraordinary challenges for governments to safeguard the well-being of their people. To what extent has leaders' reliance on scientific advice shaped government responses to the COVID-19 outbreak? We argue that leaders who tend to orient themselves on expert advice realized the extent of the crisis earlier. Consequently, these governments would adopt containment measures relatively quickly, despite the high uncertainty they faced. Over time, differences in government responses based on the use of science would dissipate due to herding effects. We test our argument on data combining 163 government responses to the pandemic with national- and individual-level characteristics. Consistent with our argument, we find that countries governed by politicians with a stronger technocratic mentality, approximated by holding a PhD, adopted restrictive containment measures faster in the early, but not in the later, stages of the crisis. This importance of expert-based leadership plausibly extends to other large-scale societal crises.
Today, firms pursuing a pioneering strategy are often engaged in supply chain relationships to benefit from external resources and to improve their innovation. However, this effort can be impeded by power asymmetries in such relationships and especially by the execution of coercive power by their partner firm. Contracts could potentially reduce this risk of opportunistic behavior. Our survey study on 778 small to medium-sized enterprises in the European packaging and medical equipment industries examines how coercive power of the partner and the contractual arrangement between firms moderate the pioneering strategy's innovation outcomes in the short and long run. Our results confirm the negative effect of coercive power on innovation performance in both the short and long term. However, the compensating effect of rather complete contracts differs temporally. Whereas, contract completeness protects against higher dependence at the beginning of the collaboration, their effect diminishes over time. In contrast, rather incomplete contracts enhance the innovation performance in the long term, possibly complemented with trust.
Our study applies legitimacy theorizing to service research, zooming in on co-prosumption service business models, which reside on significant direct contacts among provider-actors and customers as well as fellow customers in the service space. Our findings are based on a longitudinal flexible pattern matching method on 17 coworking spaces. The service cocreation nuances the double role of customers as evaluators and cocreators of legitimacy. This is because customers can have immediate perceptions of the actions and values of the services in their legitimacy evaluation while cocreating the service. Legitimacy shaped via social and recursive processes occurs in three stages: provisional, calibrated, and affirmed legitimacy. Findings inform four trajectory mechanisms of value-in-use pattern provenance, emergent Business Model development adaptive to the spatial context and loyal customers, visible trances as well as inside-out and outside-in identification processes. Further, the processes in the micro-ecosystem of an interstitial service space can develop a superordinate logic which overlays the potentially present coopetive and heterogenous institutional logics and interests of service customers.
Behavioral strategy
(2023)
Purpose: Behavioral strategy, as a cognitive- and social-psychological view on strategic management, has gained increased attention. However, its conceptualization is still fuzzy and deserves an in-depth investigation. The authors aim to provide a holistic overview and classification of previous research and identify gaps to be addressed in future research.
Design/methodology/approach: The authors conducted a systematic literature review on behavioral strategy. The final sample includes 46 articles from leading management journals, based on which the authors develop a research framework.
Findings: The results reveal cognition and traits as major internal factors. Besides, organizational and environmental contingencies are major external factors of behavioral strategy.
Originality/value: To the authors’ best knowledge, this is the first holistic systematic literature review on behavioral strategy, which categorizes previous research.
Family businesses strive not only for economic prosperity but also for social and environmental values and achievements. In an ever-changing business environment, dynamic capabilities are required to sustain performance across these areas. To understand these mechanisms in order to proactively manage them, it is necessary to identify their specific microfoundations and uncover how these relate to sustainability. However, research on sustainability dynamic capabilities in family businesses and their microfoundations is scarce. To address this research gap, we conducted semi-structured interviews with 11 German and Swiss family businesses from different industries of different ages and sizes. Our findings suggest that the majority of dynamic capability microfoundations relate to economic sustainability, with a specific focus on future orientation, traditional mindsets, rapid decision-making, intuition, speed, and resource slack. Further, we find the social aspects of innovative mindsets, human capital investments, and participation to be the specific microfoundations that strongly link with social and, eventually, economic sustainability. However, we did not find specific microfoundations for environmental sustainability.
Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements.
Digitization and demographic change are enormous challenges for companies. Learning factories as innovative learning places can help prepare older employees for the digital change but must be designed and configured based on their specific learning requirements. To date, however, there are no particular recommendations to ensure effective age-appropriate training of bluecollar workers in learning factories. Therefore, based on a literature review, design characteristics and attributes of learning factories and learning requirements of older employees are presented. Furthermore, didactical recommendations for realizing age-appropriate learning designs in learning factories and a conceptualized scenario are outlined by synthesizing the findings.
This essay takes an Anglophone Cultural Studies approach to reflect on the interdependence among as well as the individual (implicit) impact of the elements constituting our (embodied) power structures. These are, e.g., bodily experience/s such as shame and fear, everyday and institutional discourses and practices, but also manifestations of differences and particularities that we transform into phenomena such as “norms”, “binary systems” and “binary organisations”. The analysis of seemingly cyclic “Othering processes” and patterns of violence shows how people who identify as trans*, inter*, or non-binary have to live through and embody epistemological, emotional, and/or physical violence. At the same time, the descriptions illustrate numberless potential forms of resistance and change.
This study examines how public policies affect parents' preferences for a more egalitarian division of paid and unpaid work. Based on the assumption that individuals develop their preferences within a specific policy context, we examine how changes in three policies affect mothers' and fathers' work-family preferences: the availability of high-quality, affordable childcare; the right to return to a full-time job after having reduced hours to part-time and an increase in the number of 'partner months' in parental leave schemes. Analysing a unique probability sample of parents with young children in Germany from 2015 (N = 1756), we find that fathers would want to work slightly fewer hours if they had the right to return to a full-time position after working part-time, and mothers would want to work slightly more hours if childcare opportunities were improved. Full-time working parents, moreover, are found to prefer fewer hours independent of the policy setting, while non-employed parents would like to work at least some hours. Last but not least, our analyses show that increasing the number of partner months in the parental leave scheme considerably increases fathers' preferences for longer and mothers' preferences for shorter leave. Increasing the number of partner months in parental schemes hence has the greatest potential to increase gender equality.
Violence
(2017)
Concepts and theory
(2019)
There is no threat to Western democracies today comparable to the rise of right-wing populism. While it has played an increasing role at least since the 1990s, only the social consequences of the global financial crises in 2008 have given it its break that led to UK’s ‘Brexit’ and the election of Donald Trump as US President in 2016, as well as promoting what has been called left populism in countries that were hit the hardest by both the banking crisis and consequential neo-liberal austerity politics in the EU, such as Greece and Portugal.
In 2017, the French Front National (FN) attracted many voters in the French Presidential elections; we have seen the radicalization of the Alternative für Deutschland (AfD) in Germany and the formation of centre-right government in Austria. Further, we have witnessed the consolidation of autocratic regimes, as in the EU member states Poland and Greece. All these manifestations of right-wing populism share a common feature: they attack or even compromise the core elements of democratic societies such as the separation of powers, protection of minorities, or the rule of law.
Despite a broad debate on the re-emergence of ‘populism’ in the transition from the twentieth to the twenty-first century that has brought forth many interesting findings, a lack of sociological reasoning cannot be denied, as sociology itself withdrew from theorising populism decades ago and largely left the field to political sciences and history. In a sense, Populism and the Crisis of Democracy considers itself a contribution to begin filling this lacuna. Written in a direct and clear style, this set of volumes will be an invaluable reference for students and scholars in the field of political theory, political sociology and European Studies.
This volume Concepts and Theory offers new and fresh perspectives on the debate on populism. Starting from complaints about the problems of conceptualising populism that in recent years have begun to revolve around themselves, the chapters offer a fundamental critique of the term and concept of populism, theoretically inspired typologies and descriptions of currently dominant concepts, and ways to elaborate on them. With regard to theory, the volume offers approaches that exceed the disciplinary horizon of political science that so far has dominated the debate. As sociological theory so far has been more or less absent in the debate on populism, only few efforts have been made to discuss populism more intensely within different theoretical contexts in order to explain its dynamics and processes. Thus, this volume offers critical views on the debate on populism from the perspectives of political economy and the analysis of critical historical events, the links of analyses of populism with social movement mobilisation, the significance of ‘superfluous populations’ in the rise of populism and an analysis of the exclusionary character of populism from the perspective of the theory of social closure.
Understanding and accounting for the effect of exchange rate fluctuations on global learning rates
(2020)
Learning rates are a central concept in energy system models and integrated assessment models, as they allow researchers to project the future costs of new technologies and to optimize energy system costs. Here we argue that exchange rate fluctuations are an important, but thus far overlooked, determinant of the learning-rate variance observed in the literature. We explore how empirically observed global learning rates depend on where technologies are installed and which currency is used to calculate the learning rate. Using global data of large-scale photovoltaic (>= 5 MW) plants, we show that the currency choice can result in learning-rate differences of up to 16 percentage points. We then introduce an adjustment factor to correct for the effect of exchange rate and market focus fluctuations and discuss the implications of our findings for innovation scholars, energy modellers and decision makers. <br /> Learning rates are a measure of reduction in costs of energy from technologies such as solar photovoltaics. These are often estimated internationally with all monetary figures converted to a single currency, often US dollars. Lilliestam et al. show that such conversions can significantly affect the learning rate estimates.
This article examines the effect of parental socialization and interest in politics on entering and staying in public service careers. We incorporate two related explanations, yet commonly used in different fields of literature, to explain public sector choice. First, following social learning theory, we hypothesize that parents serve as role models and thereby affect their children's sector choice. Additionally, we test the hypothesis that parental socialization leads to a longer stay in public sector jobs while assuming that it serves as a buffer against turnover. Second, following public service motivation process theory, we expect that 'interest in politics' is influenced by parental socialization and that this concept, in turn, leads to a public sector career. A representative set of longitudinal data from the Swiss household panel (1999-2014) was used to analyse these hypotheses (n = 2,933, N = 37,328). The results indicate that parental socialization serves as a stronger predictor of public sector choice than an interest in politics. Furthermore, people with parents working in the public sector tend to stay longer in their public sector jobs. Points for practitioners For practitioners, the results of this study are relevant as they highlight the limited usefulness of addressing job applicants' interest in politics in the recruitment process. Human resources managers who want to ensure a public-service-motivated workforce are therefore advised to focus on human resources activities that stimulate public service motivation after job entry. We also advise close interaction between universities and public organizations so that students develop a realistic picture of the government as a future employer and do not experience a 'reality shock' after job entry.
Empirical investigations on the uncanny valley have almost solely focused on the analysis of people?s noninteractive perception of a robot at first sight. Recent studies suggest, however, that these uncanny first impressions may be significantly altered over an interaction. What is yet to discover is whether certain interaction patterns can lead to a faster decline in uncanny feelings. In this paper, we present a study in which participants with limited expertise in Computer Science played a collaborative geography game with a Furhat robot. During the game, Furhat displayed one of two personalities, which corresponded to two different interaction strategies. The robot was either optimistic and encouraging, or impatient and provocative. We performed the study in a science museum and recruited participants among the visitors. Our findings suggest that a robot that is rated high on agreeableness, emotional stability, and conscientiousness can indeed weaken uncanny feelings. This study has important implications for human-robot interaction design as it further highlights that a first impression, merely based on a robot?s appearance, is not indicative of the affinity people might develop towards it throughout an interaction. We thus argue that future work should emphasize investigations on exact interaction patterns that can help to overcome uncanny feelings.
In times of educational expansion, privileged families are looking for new strategies of distinction. Referring to Pierre Bourdieu’s theory of distinction, we argue that choosing Latin at school – a language that is no longer spoken and therefore has no direct value – is one of the strategies of privileged families to set themselves apart from less privileged families. Based on two surveys we conducted at German schools, the paper analyzes the relationship between parents’ educational background and the probability that their child will learn Latin. Results indicate that historically academic families have the strongest tendency towards learning Latin, followed by new academic families, and leaving behind the non-academic families. We distinguish between four causal mechanisms that might help to explain these associations: cultural distinction, selecting a socially exclusive learning environment, beliefs in a secondary instrumental function of learning Latin, and spatial proximity between the location of humanist Gymnasiums and the residential areas of privileged families. The hypotheses are formalized by means of Directed Acyclic Graphs (DAG). Findings show that the decision to learn Latin is predominately an unintended consequence of the selection of a socially exclusive learning environment. In addition, there is evidence that especially children from historically academic families learn Latin as a strategy of cultural distinction.
Several overlapping crises which affected the EU during the past ten years have recently aggravated. Especially the progressing refugee crisis, the persisting financial crisis and geopolitical turmoil in the EU's neighbourhood contributed to the rise of anti-EU movements and diverse articulations of Euroscepticism. Although public opinion and mainstream political analysis have easily identified right-wing populism as one of the most important drivers, it is still doubtful if it can be equated with Euroscepticism without further ado. To date it is by no means clear how and where Euroscepticism exactly originates.