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This study seeks to explain the major drivers of trading activity in commodity futures markets and gage the effect of trading activity on commodity prices. Rather than concentrating on a specific commodity subgroup or a particular type of commodity traders, we provide an extensive overview of the behavior across all market participants and their influence on commodity prices by using a broad set of commodity futures contracts. Although commodity futures returns show co-movement with financial fundamentals (U.S. dollar index, equity, and bond markets), based on the Disaggregated Commitment of Traders Report (DCOT), this relationship cannot be attributed to trading activity. Pricing in commodity markets can be predominantly attributed to hedgers and influential speculators (money managers), whereas small speculators (nonreportable traders) are crucial to some soft commodity futures similar to dealers in metals commodity futures. Furthermore, we find limited cases where inventory changes exert a sizable influence on position changes of DCOT traders.
This paper investigates the views on competition theory and policy of the American institutional economists during the first half of the 20th century. These perspectives contrasted with those of contemporary neoclassical and later mainstream economic approaches. We identify three distinct dimensions to an institutionalist perspective on competition. First, institutionalist approaches focused on describing industry details, so as to bring theory into closer contact with reality. Second, institutionalists emphasized that while competition was sometimes beneficial, it could also be disruptive. Third, institutionalists had a broad view of the objectives of competition policy that extended beyond effects on consumer welfare. Consequently, institutionalists advocated for a wide range of policies to enhance competition, including industrial self-regulation, broad stakeholder representation within corporations, and direct governmental regulations. Their experimental attitude implied that policy would always be evolving, and antitrust enforcement might be only one stage in the development toward a regime of industrial regulation.
Executive education (EE) has been an established means for management education. However, due to the ever-changing business environment, progress in education technology, and new competitors, EE has been continuously evolving and can be expected to further change. Employing a three-stage international Delphi study, we identify a plausible scenario for the further development of EE over the next decade. The results suggest major changes for management training. The panel expects major shifts in teaching methods and curricula construction. Business schools are expected to increase content customization, to adapt delivery formats, and to enhance coverage of topical issues to better respond to leaders' needs.
Researchers have shown that structuring issues and organizing an agenda before a negotiation lead to improved negotiation performance. By using issue analysis, negotiators become aware of their own and their opponents' preferences on negotiation issues and are able to use this knowledge to optimize their degree of success. Following research on asymmetrical preferences in negotiations, we introduce a new approach for issue analysis that considers the identification of one-sided preferences, specifically a 0-preference for issues from one party. We conducted an experimental study to test if this type of preference for an issue (chance issue) yields strategic potential for a negotiator. We also examined whether the identification of these chance issues could be particularly relevant for a low-power party in negotiations with a power imbalance, to overcome the lower scope of action due to the weaker negotiating position. The results indicate initial verification that no preference at all for one issue could lead to higher individual performance and noneconomic outcomes. Joint performance was positively affected by 0-preference, even in unbalanced power situations.
We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
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.
IMPACT German municipalities have prepared performance budgets for over 10 years. The incorporation of performance information into the budget is, however, still work in progress. Local politicians perceive the usability of non-financial information in the budget as low and do not use such information intensively for budget composition or other purposes. German municipal budgets are usually voluminous because of their highly detailed structure and the large amount of displayed performance data which rarely informs about outcomes. Such information does not meet the needs of councillors, for example in their struggles with political opponents. Some options for improving the usability of budgetary information are presented.
In this paper we examine the relationship between the default risk of banks and sovereigns, i.e. the 'doom-loop'. Specifically, we try to assess the effectiveness of the implementation of the new recovery and resolution framework in the European Union. We use a panel with daily data on European banks and sovereigns ranging from 2012 to 2016 in order to test the effects of the Bank Recovery and Resolution Directive on the two-way feedback process. We find that there was a pronounced feedback loop between banks and sovereigns from 2012 to 2014. However, after the implementation of the European Banking Union, in 2015/2016, the magnitude of the doom-loop decreased and the spillovers became not statistically significant. Furthermore, our results suggest that the implementation of the new resolution framework is a suitable candidate to explain this finding. Overall, the results are robust across several specifications.
Equity crowdfunding
(2021)
In this study, we explore the development of equity crowdfunding (ECF) over the next 5 to 10 years by conducting an international Delphi study. Our results indicate that the ECF market is expected to grow significantly. However, it is unlikely to disrupt other forms of financing and will not cover all SME financing needs. ECF will remain a funding technique for SMEs and small investors; it is unlikely to attract large corporations or institutional investors. Platforms will impose stricter requirements for capital raisers, expand their services, and innovate their business models. National governments will probably partly liberalize the ECF market.
Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.
Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.
Defining the metaverse
(2023)
The term Metaverse is emerging as a result of the late push by multinational technology conglomerates and a recent surge of interest in Web 3.0, Blockchain, NFT, and Cryptocurrencies. From a scientific point of view, there is no definite consensus on what the Metaverse will be like. This paper collects, analyzes, and synthesizes scientific definitions and the accompanying major characteristics of the Metaverse using the methodology of a Systematic Literature Review (SLR). Two revised definitions for the Metaverse are presented, both condensing the key attributes, where the first one is rather simplistic holistic describing “a three-dimensional online environment in which users represented by avatars interact with each other in virtual spaces decoupled from the real physical world”. In contrast, the second definition is specified in a more detailed manner in the paper and further discussed. These comprehensive definitions offer specialized and general scholars an application within and beyond the scientific context of the system science, information system science, computer science, and business informatics, by also introducing open research challenges. Furthermore, an outlook on the social, economic, and technical implications is given, and the preconditions that are necessary for a successful implementation are discussed.
Recent research suggests that design thinking practices may foster the development of needed capabilities in new digitalised landscapes. However, existing publications represent individual contributions, and we lack a holistic understanding of the value of design thinking in a digital world. No review, to date, has offered a holistic retrospection of this research. In response, in this bibliometric review, we aim to shed light on the intellectual structure of multidisciplinary design thinking literature related to capabilities relevant to the digital world in higher education and business settings, highlight current trends and suggest further studies to advance theoretical and empirical underpinnings. Our study addresses this aim using bibliometric methods—bibliographic coupling and co-word analysis as they are particularly suitable for identifying current trends and future research priorities at the forefront of the research. Overall, bibliometric analyses of the publications dealing with the related topics published in the last 10 years (extracted from the Web of Science database) expose six trends and two possible future research developments highlighting the expanding scope of the design thinking scientific field related to capabilities required for the (more sustainable and human-centric) digital world. Relatedly, design thinking becomes a relevant approach to be included in higher education curricula and human resources training to prepare students and workers for the changing work demands. This paper is well-suited for education and business practitioners seeking to embed design thinking capabilities in their curricula and for design thinking and other scholars wanting to understand the field and possible directions for future research.
Robo advisors represent a digital financial advice solution challenging traditional wealth and asset management, investment advice, retirement planning, and tax-loss harvesting. Based on algorithms, big data analysis, machine learning, and other technologies, these services minimize the necessity for human intervention. Based on an international three-stage Delphi study, we provide a plausible forecast of the development of the robo advisor industry, with regards to market development, competition, drivers of growth, customer segments, challenges, services, technologies, and societal change. The results suggest that the financial advice market will experience a further increase in the number of robo advisor services available. Existing and traditional financial advice players will be forced to adjust to the changing environment of the market. Due to low fees and ease of use, robo advisors will be made available to a broad cross section of society, and will cause significant market losses for traditional investment advice companies. Ten years from now, the predominant investment class will remain Exchange Traded Funds (ETFs). Even though degrees of human intervention are expected to vary considering the complexity of advice, automation will increase in significance when it comes to the development of robo advisors.
In this paper, we move from the large strand of research that looks at evidence of climate migration to the questions: who are the climate migrants? and where do they go? These questions are crucial to design policies that mitigate welfare losses of migration choices due to climate change. We study the direct and heterogeneous associations between weather extremes and migration in rural India. We combine ERAS reanalysis data with the India Human Development Survey household panel and conduct regression analyses by applying linear probability and multinomial logit models. This enables us to establish a causal relationship between temperature and precipitation anomalies and overall migration as well as migration by destination. We show that adverse weather shocks decrease rural-rural and international migration and push people into cities in different, presumably more prosperous states. A series of positive weather shocks, however, facilitates international migration and migration to cities within the same state. Further, our results indicate that in contrast to other migrants, climate migrants are likely to be from the lower end of the skill distribution and from households strongly dependent on agricultural production. We estimate that approximately 8% of all rural-urban moves between 2005 and 2012 can be attributed to weather. This figure might increase as a consequence of climate change. Thus, a key policy recommendation is to take steps to facilitate integration of less educated migrants into the urban labor market.
Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings.
The number of alternative suppliers is widely considered to be the most important source of power in supply chains. It is common knowledge that a buying company benefits from an increasing number of suppliers until a marginalization effect occurs. Consequently, a cost-benefit optimum must exist but has not been analyzed in a sufficiently differentiated manner in the literature. Particularly, research has not taken the variety of product groups, which is reflected by the degree of innovation, into account. Using a two-way analysis of variance, this study identifies the cost-benefit optimum for the number of suppliers and analyzes the moderating role of the degree of innovation. The analysis is based on real automotive business-to-business negotiation data. The results reveal that a cost-benefit optimum is reached at a number of three suppliers at the most. Furthermore, the impact of the number of suppliers is higher for innovative products than for more functional products. Purchasing managers can use the findings to determine the optimal size of their supplier choice set.
An apple a day
(2021)
The healthcare industry has been slow to adopt new technologies and practices. However, digital and data-enabled innovations diffuse the market, and the COVID-19 pandemic has recently emphasized the necessity of a fundamental digital transformation. Available research indicates the relevance of digital platforms in this process but has not studied their economic impact to date. In view of this research gap and the social and economic relevance of healthcare, we explore how digital platforms might affect value creation in this market with a particular focus on Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). We rely on value network analyses to examine how GAFAM platforms introduce new value-creating roles and mechanisms in healthcare through their manifold products and services. Hereupon, we examine the GAFAM-impact on healthcare by scrutinizing the facilitators, activities, and effects. Our analyses show how GAFAM platforms multifacetedly untie conventional relationships and transform value creation structures in the healthcare market.
It is commonly known that irresponsible alcohol use can have adverse effects. For some people, it results in health problems, for others in productivity loss, and some experience the worst possible outcome of alcohol misuse - death. This paper estimates the effect of reduced alcohol sales hours on alcohol-attributable mortality (AAM) in Estonia. Using novel mortality data from 1997 to 2015, this paper analyzes the effect of alcohol sales policies at both the county level and the country level. By applying the difference-in-differences method and the ARIMA model, this paper finds that the alcohol sales policy reduced AAM to between 1.710 and 2.401 deaths per 100,000 per month, which equals a reduction of 31% to 40% in AAM deaths. These findings suggest that individuals who are the most at risk of dying from alcohol-attributable causes of death benefit remarkably from reduced alcohol availability.
Künstliche Intelligenz ist in aller Munde. Immer mehr Anwendungsbereiche werden durch die Auswertung von vorliegenden Daten mit Algorithmen und Frameworks z.B. des Maschinellen Lernens erschlossen. Dieses Buch hat das Ziel, einen Überblick über gegenwärtig vorhandene Lösungen zu geben und darüber hinaus konkrete Hilfestellung bei der Auswahl von Algorithmen oder Tools bei spezifischen Problemstellungen zu bieten. Um diesem Anspruch gerecht zu werden, wurden 90 Lösungen mittels einer systematischen Literaturrecherche und Praxissuche identifiziert sowie anschließend klassifiziert. Mit Hilfe dieses Buches gelingt es, schnell die notwendigen Grundlagen zu verstehen, gängige Anwendungsgebiete zu identifizieren und den Prozess zur Auswahl eines passenden ML-Tools für das eigene Projekt systematisch zu meistern.
This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.
Purpose The purpose of this paper is to shed light on the rising waves of workplace militancy in the public sector and to provide insights into the perceptions that frame justification for industrial action among Ugandan public sector employees. Design/methodology/approach In-depth interviews and documentary analysis, analysed qualitatively, as well as a review of theoretical and empirical literature. Findings Public school teachers and public university lecturers in Uganda who frequently engage in industrial action mainly rationalise their engagement by the absence, or the ineffectiveness of alternative conflict resolution mechanisms. The findings also show that industrial action, even in resource-constrained settings like Uganda, is stimulated more by the desire to achieve equity rather than by the basic desire to improve working conditions. It is also notable that new, often unstructured, forms of workplace militancy continue to emerge in the public sector, and waves of industrial action are shifting from the industrial to the public sector. Practical implications Whereas industrial action is a protected labour right, the findings of this research strongly suggest that public employees do not necessarily enjoy their right to engage, but only reluctantly take industrial action as a "last resort". The findings will, therefore, help public managers and policymakers to appreciate their responsibility in reducing the compulsion for industrial action among public employees. Originality/value This paper provides a general explanation for industrial action from the perspective of the people involved, rather than explaining the causality of specific strike actions. At a time when industrial action is generally declining in the developed industrialised states, this paper sheds light on the rise in collective action in developing countries and especially in the public sector.
Advanced non-viral gene delivery experiments often require co-delivery of multiple nucleic acids. Therefore, the availability of reliable and robust co-transfection methods and defined selection criteria for their use in, e.g., expression of multimeric proteins or mixed RNA/DNA delivery is of utmost importance. Here, we investigated different co- and successive transfection approaches, with particular focus on in vitro transcribed messenger RNA (IVT-mRNA). Expression levels and patterns of two fluorescent protein reporters were determined, using different IVT-mRNA doses, carriers, and cell types. Quantitative parameters determining the efficiency of co-delivery were analyzed for IVT-mRNAs premixed before nanocarrier formation (integrated co-transfection) and when simultaneously transfecting cells with separately formed nanocarriers (parallel co-transfection), which resulted in a much higher level of expression heterogeneity for the two reporters. Successive delivery of mRNA revealed a lower transfection efficiency in the second transfection round. All these differences proved to be more pronounced for low mRNA doses. Concurrent delivery of siRNA with mRNA also indicated the highest co-transfection efficiency for integrated method. However, the maximum efficacy was shown for successive delivery, due to the kinetically different peak output for the two discretely operating entities. Our findings provide guidance for selection of the co-delivery method best suited to accommodate experimental requirements, highlighting in particular the nucleic acid dose-response dependence on co-delivery on the single-cell level.
Issues The last Soviet anti-alcohol campaign of 1985 resulted in considerably reduced alcohol consumption and saved thousands of lives. But once the campaign's policies were abandoned and the Soviet alcohol monopoly broken up, a steep rise in mortality was observed in many of the newly formed successor countries, although some kept their monopolies. Almost 30 years after the campaign's end, the region faces diverse challenges in relation to alcohol.
Approach The present narrative review sheds light on recent drinking trends and alcohol policy developments in the 15 Former Soviet Union (FSU) countries, highlighting the most important setbacks, achievements and best practices. Vignettes of alcohol control policies in Belarus, Estonia, Kazakhstan, Lithuania and Uzbekistan are presented to illustrate the recent developments. <br /> Key Findings Over the past decade, drinking levels have declined in almost all FSU countries, paralleled by the introduction of various alcohol-control measures. The so-called three 'best buys' put forward by the World Health Organization to reduce alcohol-attributable burden (taxation and other measures to increase price, restrictions on alcohol availability and marketing) are relatively well implemented across the countries.
Implications In recent years, evidence-based alcohol policies have been actively implemented as a response to the enormous alcohol-attributable burden in many of the countries, although there is big variance across and within different jurisdictions.
Conclusion Strong declines in alcohol consumption were observed in the 15 FSU countries, which have introduced various alcohol control measures in recent years, resulting in a reduction of alcohol consumption in the World Health Organization European region overall.
Background: Voice-controlled intelligent personal assistants (VIPAs), such as Amazon Echo and Google Home, involve artificial intelligence-powered algorithms designed to simulate humans. Their hands-free interface and growing capabilities have a wide range of applications in health care, covering off-clinic education, health monitoring, and communication. However, conflicting factors, such as patient safety and privacy concerns, make it difficult to foresee the further development of VIPAs in health care. <br /> Objective: This study aimed to develop a plausible scenario for the further development of VIPAs in health care to support decision making regarding the procurement of VIPAs in health care organizations. Methods: We conducted a two-stage Delphi study with an internationally recruited panel consisting of voice assistant experts, medical professionals, and representatives of academia, governmental health authorities, and nonprofit health associations having expertise with voice technology. Twenty projections were formulated and evaluated by the panelists. Descriptive statistics were used to derive the desired scenario. <br /> Results: The panelists expect VIPAs to be able to provide solid medical advice based on patients' personal health information and to have human-like conversations. However, in the short term, voice assistants might neither provide frustration-free user experience nor outperform or replace humans in health care. With a high level of consensus, the experts agreed with the potential of VIPAs to support elderly people and be widely used as anamnesis, informational, self-therapy, and communication tools by patients and health care professionals. Although users' and governments' privacy concerns are not expected to decrease in the near future, the panelists believe that strict regulations capable of preventing VIPAs from providing medical help services will not be imposed. <br /> Conclusions: According to the surveyed experts, VIPAs will show notable technological development and gain more user trust in the near future, resulting in widespread application in health care. However, voice assistants are expected to solely support health care professionals in their daily operations and will not be able to outperform or replace medical staff.
Cyber-physical systems (CPS) have shaped the discussion about Industry 4.0 (I4.0) for some time. To ensure the competitiveness of manufacturing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The successful transformation of this theoretical construct into practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.
Introduction
(2020)
Does political repression work and if so, under what conditions? Many contributions to the empirical study of non-democratic rule assume it does. As a consequence, strong convictions on political repression abound, but empirical investigations into the matter remain rare. This introduction sets the agenda for the chapters to come and outlines the answers given to the three motivating questions of this volume. First, what variants of political repression are there, and how do they interact? Second, what impact does the interaction of different forms of political repression have on the problem of authoritarian control? Finally, what difference does the complementary use of violence and restrictions make for the problem of authoritarian power-sharing?
This article contributes to the debate on the incorporation of performance information in European local government budgets. At the core is the development of an analytical model for comparing efforts of performance budgeting (PB). Evidence in ten cases indicates that performance structures and the span of performance differ, that performance indicators are far from always measuring outcomes or outputs, and that future and past performance figures are often absent. Nevertheless similar learning trajectories do exist. Possible explanations for the variation involve the varying degrees of reform implementation, experience with PB and prevailing institutional arrangements.
Background
Wearables, as small portable computer systems worn on the body, can track user fitness and health data, which can be used to customize health insurance contributions individually. In particular, insured individuals with a healthy lifestyle can receive a reduction of their contributions to be paid. However, this potential is hardly used in practice.
Objective
This study aims to identify which barrier factors impede the usage of wearables for assessing individual risk scores for health insurances, despite its technological feasibility, and to rank these barriers according to their relevance.
Methods
To reach these goals, we conduct a ranking-type Delphi study with the following three stages. First, we collected possible barrier factors from a panel of 16 experts and consolidated them to a list of 11 barrier categories. Second, the panel was asked to rank them regarding their relevance. Third, to enhance the panel consensus, the ranking was revealed to the experts, who were then asked to re-rank the barriers.
Results
The results suggest that regulation is the most important barrier. Other relevant barriers are false or inaccurate measurements and application errors caused by the users. Additionally, insurers could lack the required technological competence to use the wearable data appropriately.
Conclusion
A wider use of wearables and health apps could be achieved through regulatory modifications, especially regarding privacy issues. Even after assuring stricter regulations, users’ privacy concerns could partly remain, if the data exchange between wearables manufacturers, health app providers, and health insurers does not become more transparent.
The organisation of legislative chambers and the consequences of parliamentary procedures have been among the most prominent research questions in legislative studies. Even though democratic elections not only lead to the formation of a government but also result in an opposition, the literature has mostly neglected oppositions and their role in legislative chambers. This paper proposes to fill this gap by looking at the legislative organisation from the perspective of opposition players. The paper focuses on the potential influence of opposition players in the policy-making process and presents data on more than 50 legislative chambers. The paper shows considerable variance of the formal power granted to opposition players. Furthermore, the degree of institutionalisation of opposition rights is connected to electoral systems and not necessarily correlated with other institutional characteristics such as regime type or the size of legislative chambers.
Digital software platforms allow third parties to develop applications and thus extend their functionality. Platform owners provide platform boundary resources that allow for application development. For developers, platform integration, understood as the employment of platform resources, helps to realize application functionality effectively. Simultaneously, it requires integration effort and increases dependencies. Developers are interested to know whether integration contributes to success in hypercompetitive platform settings. While aspects of platform participation have been studied, research on a comprehensive notion of integration and related implications are missing. By proposing a platform integration model, this study supports a better understanding of integration. Concerning dynamics related to integration, effects were tested using information from over 82,000 Apple AppStore applications. Regression model analysis reveals that application success and customer satisfaction is positively influenced by platform integration. To achieve superior results, developers should address multiple aspects of integration, such as devices, data, the operating system, the marketplace as well as other applications, and provide updates. Finally, the study highlights the importance for all platform participants and their possibilities to employ integration as a strategic instrument.
Purpose:
While industrial marketers have long bundled their products and services to sell them as packages, to what extent should negotiators also rely on packaging their offers? Clearly, negotiating at a package level can tax the cognitive capacity of the involved parties at some point. Therefore, this study aims to analyze the impact of the number and type of issues that should be negotiated simultaneously to leverage the package strategy efficiently and effectively in multi-issue buyer-seller negotiations.
Design/methodology/approach:
The authors conducted and analyzed negotiation simulations with 676 students from 2 public universities.
Findings:
The authors’ results suggest that negotiating three out of six issues simultaneously is the least efficient but most effective strategy in multi-issue buyer-seller negotiations. Moreover, they found that bundling distributive and integrative issues is more efficient and effective than only bundling distributive or integrative negotiation issues in a package offer.
Originality/value:
Past research has examined the impact of negotiating a package as compared to each issue separately; however, little empirical attention has been directed toward understanding how to apply a package strategy in complex multi-issue negotiations.
This survey provides an overview of topics related to the history of economics that have been discussed within the last two years in journal articles. The survey format has been started by History of Economic Ideas last year with the survey by Giulia Bianchi (2016) and is aimed to increase the visibility of research in the history of economics. The emphasis of our survey is on the big three journals in the history of economics: the European Journal of the History of Economic Thought, the Journal of the History of Economic Thought and History of Political Economy. We also included additional journals that frequently publish articles related to the history of economics. These include, in alphabetical order, the Cambridge Journal of Economics, Contributions to Political Economy, Economic Thought, the Erasmus Journal for Philosophy and Economics, History of Economic Thought and Policy, the History of Economics Review, the Journal of Economic Literature, the Journal of Economic Methodology, the Journal of Economic Perspectives, OE conomia, Oxford Economic Papers and Research in the History of Economic Thought and Methodology.
International organizations (IOs) try to incorporate policy-specific best practices and country-specific knowledge to increase well-informed decision-making. However, the relative contribution of the two kinds of knowledge to organizational performance is insufficiently understood. The article addresses this gap by focusing on the role of staff in World Bank performance. It posits that country-specific knowledge, sectoral knowledge, and their combination positively contribute to World Bank projects. The argument is tested drawing on a novel database on the tenure, nationality, and educational background of World Bank Task Team Leaders. Three findings stand out. First, country-specific knowledge seems to matter on average, while sectoral knowledge does not. Second, there is some evidence that staff that combine both kinds of knowledge are empowered to make more positive contributions to performance. Third, the diversity and relevance of experience, not length of tenure, are associated with more success. The findings contribute to discussions on international bureaucracies by highlighting how differences between the knowledge of individual staff shape their decision-making and performance. IOs could better tap into the existing resources in their bureaucracies to enhance their performance by rotating staff less frequently between duty stations.
COVID-19 has demonstrated the importance of data for scientific policy advice. Mechanisms by which data is generated, shared, and ultimately lead to policy responses are crucial for enhancing transparency and legitimacy of decisions. At the same time, the volume, complexity and volatility of data are growing. Against this background, mechanisms, actors, and problems of data-driven scientific policy advice are analysed. The study reveals role conflicts, ambiguities, and tensions in the interaction between scientific advisors and policy-makers. The assumption of a technocratic model, promoted by well-established structures and functioning processes of data-driven government, cannot be confirmed. Reality largely corresponds to the pragmatic model, in parts also the decisionist model, albeit with dysfunctional characteristics.
DieFelix-App
(2020)
Emotionen besitzen eine große Bedeutung bei Lernprozessen. Nach der „Control-Value“-Theorie wird davon ausgegangen, dass positive Emotionen sich positiv, nega tive Emotionen sich hingegen negativ auf den Lernprozess auswirken können. Die Felix-App greift solche Effekte auf, um das Befinden und die Bedürfnisse von Lehrenden und Lernenden in Echtzeit zu erfassen und direkt in Form anschaulicher Grafiken zurück-zumelden. Der theoretische Hintergrund und Best-Practice-Beispiele werden erläutert.
Haushaltsbuch 2.0
(2020)
Die Lernenden analysieren die finanzielle Situation einer/eines Auszubildenden mithilfe einer digitalen Variante eines Haushaltsbuches. Sie lernen, planvoll mit finanziellen Ressourcen im Haushalt umzugehen, und kennen das Instrument "Haushaltsbuch" zu besseren Ressourcenplanung. Sie erkennen Zukunftsbedürfnisse und Risiken einer (ersten) Haushaltsgründung.
Wissenschaftlicher Nachwuchs ist bedeutsam für den Erhalt und Ausbau jeder Disziplin. Aktuell gibt es nur wenige empirische Erkenntnisse zur Situation in der haushaltsbezogenen Bildung. Im Beitrag werden ausgewählte Aspekte zur Situation der Nachwuchsförderung skizziert und Anknüpfungspunkte für die haushaltsbezogene Bildung vor dem Hintergrund erster Erfahrungen aus der 2019 gegründeten Nachwuchsgruppe HaBiFo-NEO diskutiert.
We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
Aim Hospitals noticeably struggle with maintaining hundreds of IT systems and applications in compliance with the latest IT standards and regulations. Thus, hospitals search for efficient opportunities to discover and integrate useful digital health innovations into their existing IT landscapes. In addition, although a multitude of digital innovations from digital health startups enter the market, numerous barriers impede their successful implementation and adoption. Against this background, the aim of this study was to explore typical digital innovation barriers in hospitals, and to assess how a hospital data management platform (HDMP) architecture might help hospitals to extract such innovative capabilities. Subject and methods Based on the concept of organizational ambidexterity (OA), we pursued a qualitative mixed-methods approach. First, we explored and consolidated innovation barriers through a systematic literature review, interviews with 20 startup representatives, and a focus group interview with a hospital IT team and the CEO of an HDMP provider. Finally, we conducted a case-study analysis of 36 digital health startups to explore and conceptualize the potential impact of DI and apply the morphological method to synthesize our findings from a multi-level perspective. Results We first provide a systematic and conceptual overview of typical barriers for digital innovation in hospitals. Hereupon, we explain how an HDMP might enable hospitals to mitigate such barriers and extract value from digital innovations at both individual and organizational level. Conclusion Our results imply that an HDMP can help hospitals to approach organizational ambidexterity through integrating and maintaining hundreds of systems and applications, which allows for a structured and controlled integration of external digital innovations.
The Kyoto Protocol’s Clean Development Mechanism (CDM) allows developed countries to meet part of their obligational emission reductions by carrying out emission reduction projects in developing countries. China imposed a price floor to the CDM carbon credits produced in China through its price review policy. Scholars have not agreed on the purpose of China’s price review policy. With a theoretical model and a coherent empirical study, the present study shows that the price floor imposed by China’s price review is more likely to protect those domestic project owners against price discrimination, rather than to distort the CDM market. Nevertheless, China’s price review has its own flaws. Although a regression study shows month of approval, types of projects and location of project can explain 55% of price floor designation, the operation of price review remains quite random and unpredictable in individual cases. This would bring extra bureaucratically uncertainty on its way to curb market uncertainty. Its function can be fulfilled by alternative policy tools with better economic efficiency and legal legitimacy, such as mandatory price disclosure and trading forum, which doesn’t have such drawback, but still be able to alleviate possible price discrimination in individual cases.
In many European countries, labor markets are characterized by high regional disparities in terms of unemployment rates on the one hand and low geographical mobility among the unemployed on the other hand. In order to counteract the geographical mismatch of workers, the German active labor market policy offers a subsidy covering moving costs to incentivize unemployed job seekers to search/accept jobs in distant regions. Based on administrative data, this study provides the first empirical evidence on the impact of this subsidy on participants' prospective labor market outcomes. We use an instrumental variable approach to take endogenous selection based on observed and unobserved characteristics into account when estimating causal treatment effects. We find that unemployed job seekers who participate in the subsidy program and move to a distant region receive higher wages and find more stable jobs compared to non-participants. We show that the positive effects are (to a large extent) the consequence of a better job match due to the increased search radius of participants.