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"Kontraktmanagement" - Experiences with internal management contracts on German local government
(2000)
"Kontraktmanagement" : experiences with internal management contracts in German local government
(1997)
Within the last decade, the role of the Creative Industries has grown to become an important part of the economic system. The increasing acceleration of new developments in media and ICT technologies greatly affected the Creative Industries' dynamic with a direct impact on the people working in this sector. Since only a few studies focus on competences needs, more or less isolated from the trends within the industry, we address the topic of individual competence shifts in the turbulent environment of the Creative Industries. We investigated the trends regarding competence shifts and their implications as well as the competences which are essential for creative professionals. We conducted a broad literature review as well as a qualitative study, which includes interviews and workshops with industry experts on trends within the Creative Industries and corresponding dimensions and demands for competences. We present four requirements that call for shifts in the education of competences. Based on the discussion of requirements, we present a competence portfolio for the Creative Industries along the dimensions of professional, methodological and personal-social competences. The portfolio clearly indicates which competences should be taken into consideration for the development of curricula and study programmes in the education of creative professionals. A generalization of these findings suggests new challenges for companies relying on creative professionals.
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.
Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.
This work analyzes the saving and consumption behavior of agents faced with the possibility of unemployment in a dynamic and stochastic life cycle model. The intertemporal optimization is based on Dynamic Programming with a backward recursion algorithm. The implemented uncertainty is not based on income shocks as it is done in traditional life cycle models but uses Markov probabilities where the probability for the next employment status of the agent depends on the current status. The utility function used is a CRRA function (constant relative risk aversion), combined with a CES function (constant elasticity of substitution) and has several consumption goods, a subsistence level, money and a bequest function.
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.
A Local Dimension of Integration Policies? A Comparative Study of Berlin, Malmo, and Rotterdam
(2015)
This study examines three theses on local integration policies by a qualitative comparative case study of integration policies in three cities in three different countries (Berlin, Malmo, and Rotterdam). We found little evidence of a congruent local dimension of integration policies. Local policies resemble their national policy frameworks fairly well in terms of policy approaches and domains. Our multi-level perspective shows that this is not the result of top-down hierarchical governance, but rather of a multilevel dynamic of two-way interaction. Local policy legacies and local politics matter and national policies are also influenced by local approaches of integration.
In this note we analyze the incentives to merge in a mixed duopoly if firms compete in prices or quantities. Our model framework mainly follows Barcena-Ruiz and Garzon (J Econ 80:27-42, 2003) who set up the model with quantity competition. We extend their analysis by analyzing the case of competition in prices. Further we compare the incentives to merge with Bertrand and Cournot competition. Comparing quantity with price competition we can show that a merger is more likely with Cournot competition than with Bertrand competition.
In a multi-source, lagged design field study of 197 leader-follower dyads, we test a model that predicts positive interactive effects of visionary and empowering leadership on follower performance. Based on the paradox perspective, we argue that visionary and empowering leadership are synergistic in that their combination enables leaders to address a key paradox inherent to leader behavior identified by Waldman and Bowen (2016): Maintaining control while simultaneously letting go of control. We argue that visionary leadership addresses the former and empowering leadership addresses the latter pole of this pair of opposites. Hence, in line with paradox thinking, we posit that leaders will engender more positive effects on follower performance when they enact visionary and empowering leadership behaviors simultaneously and adopt a "both-and" approach, rather than focus on one of these behaviors without the other. Our results support our hypothesized interactive effect of visionary and empowering leadership on goal clarity, as well as a conditional indirect effect such that goal clarity mediates the interactive effect of visionary and empowering leadership on individual follower performance.
A Procedural Model for the Production of reusable and standard-compliant E-Learning Offerings
(2005)
Cost-efficient production of high-quality learning contents is an important success factor for a sustainable and economic realisation of E-Learning. This necessitates the design of sustainable production processes, which create reusable Learning Objects and require minimal resources. In such a context, this contribution introduces a practical and business-process oriented Procedural Model for the Production of reusable and standard-compliant E-Learning Offerings. It has been developed and applied in a project that produces learning contents for a Master program of an international virtual university. After the introduction of a reengineering method, a special analysis instrument for E-Learning has been designed to analyse the existing production processes and to improve them in terms of efficiency, costs, standard- compliance, and process automation. The method introduced is hence not focussing on individual technical solutions but on the efficiency of the whole E-Learning production and value chain. It gives an orientation for establishing and maintaining sustainable and competitive E-Learning production processes with appropriate effort.
Since 2008, European crisis politics have thrown the importance of time in democracy into sharp relief. The need for rapid action by national authorities, the EU and international organisations conflicts with the time-consuming nature of democratic deliberation; short-term political firefighting has given little consideration to the long-term sustainability and time consistency of policies; and decentralised decisions threaten effective synchronisation within multi-level governance systems. This article suggests that democratic politics requires a balance between the temporal characteristics of responsive and responsible politics. The timeframe for responsive politics is shaped by electoral cycles that encourage speedy action; short-term lags between political choices and their effects; and temporal discretion of decision-makers. The timeframe for responsible politics is characterised by time-consuming procedures; solutions that take time to unfold and are sustainable in the longer term; and the purposive synchronisation amongst actors and across policy domains and levels of policy-making. The finely balanced temporal constitution of democracy has been challenged in two fundamental ways. First, as the ability of decision-makers to work within the time limits of their mandates and to respond to the temporal expectations of the electorate decreases, the temporal ties that ensure the responsiveness of political authority to the electorate weaken. Second, the distinct temporal qualities of majoritarian and non-majoritarian institutions that encourage responsibility are called into question. Consequently, political time in Europe runs the risk of becoming both less responsive and less responsible.
Findings - The results provide (longitudinal) support for the proposed evaluative approach. They reveal new evidence that building brand equity is a means to mitigate negative effects, and indicate that negative spillover effects within a high-equity brand portfolio are unlikely. Finally, this research identifies situations in which developing a new brand might be more beneficial than leveraging an existing brand. Practical implications - This research has significant implications for firms with high-equity brands that might be affected by a scandal. The findings support managers to navigate their brands through a crisis.
Social segregation in cities takes place where different household groups exist and when, according to Schelling, their location choice either minimizes the number of differing households in their neighborhood or maximizes their own group. In this contribution an evolutionary simulation based on a monocentric city model with externalities among households is used to discuss the spatial segregation patterns of four groups. The resulting complex spatial patterns can be shown as graphic animations. They can be applied as initial situation for the analysis of the effects a rent control has on segregation.
This study investigates the effect of different anticonsumption constructs on consumer wellbeing. The study assumes that people will only lower their level of consumption if doing so does not also lower personal wellbeing. More precisely, this research investigates how specific subtypes of sustainable anticonsumption (e.g., voluntary simplicity, collaborative consumption, and debt-free living) relate to different states of consumer's wellbeing (e.g., financial, psychosocial, and subjective wellbeing). This work also examines whether consumer empowerment can improve personal wellbeing and strengthen the anticonsumption wellbeing relationship. The results show that voluntarily foregoing consumption does not reduce wellbeing and consumer empowerment plays a significant role in supporting sustainable pathways to consumer wellbeing. This study reasons that empowerment improves consumer sovereignty, but may be detrimental for consumers heavily concerned about debt-free living. The present investigation concludes by proposing implications for public and consumer policymakers wishing to promote appropriate sustainable (anticonsumption) pathways to consumer wellbeing.
The substantial booms and busts in agricultural prices marked by extreme events across commodities lead to heated debates about the effects of speculative trading on commodity price fluctuations. This study proposes a new approach to understanding extreme events and boom-bust processes in agricultural markets. Using weekly futures data for twelve indexed agricultural commodities during 2006 to 2016, we find that extreme price changes, located in the 10% tails of the distribution, cluster across agricultural markets. We then implement a multinomial logit model to investigate which factors are associated with the propagation of extreme events. Specifically, we disentangle three transmission conduits. (1) The macroeconomic conduit captures the possibility that the synchronized extreme price events are generated by business-cycle driven demand shifts mainly in emerging economies. (2) The financial conduit refers to potential links between extreme returns and the increasing flow of money from financial participants into agricultural futures markets. (3) Finally, the energy conduit accounts for possible spillover effects due to oil price shocks. Our results indicate an important role of managed money positions and oil prices while the real demand channel remains mostly insignificant. (C) 2017 Elsevier Ltd. All rights reserved.
A vector error correction model for the relationship between public debt and inflation in Germany
(2014)
In the paper, the interaction between public debt and inflation including mutual impulse response will be analysed. The European sovereign debt crisis brought once again the focus on the consequences of public debt in combination with an expansive monetary policy for the development of consumer prices. Public deficits can lead to inflation if the money supply is expansive. The high level of national debt, not only in the Euro-crisis countries, and the strong increase in total assets of the European Central Bank, as a result of the unconventional monetary policy, caused fears on inflating national debt. The transmission from public debt to inflation through money supply and long-term interest rate will be shown in the paper. Based on these theoretical thoughts, the variables public debt, consumer price index, money supply m3 and long-term interest rate will be analysed within a vector error correction model estimated by Johansen approach. In the empirical part of the article, quarterly data for Germany from 1991 by 2010 are to be examined.
The crises of both the climate and the biosphere are manifestations of the imbalance between human extractive, and polluting activities and the Earth’s regenerative capacity. Planetary boundaries define limits for biophysical systems and processes that regulate the stability and life support capacity of the Earth system, and thereby also define a safe operating space for humanity on Earth. Budgets associated to planetary boundaries can be understood as global commons: common pool resources that can be utilized within finite limits. Despite the analytical interpretation of planetary boundaries as global commons, the planetary boundaries framework is missing a thorough integration into economic theory. We aim to bridge the gap between welfare economic theory and planetary boundaries as derived in the natural sciences by presenting a unified theory of cost-benefit and cost-effectiveness analysis. Our pragmatic approach aims to overcome shortcomings of the practical applications of CEA and CBA to environmental problems of a planetary scale. To do so, we develop a model framework and explore decision paradigms that give guidance to setting limits on human activities. This conceptual framework is then applied to planetary boundaries. We conclude by using the realized insights to derive a research agenda that builds on the understanding of planetary boundaries as global commons.
With the aim to improve the quality of public administration (PA) programmes in Europe, EGPA established in 1999—together with the Network of Institutes and Schools of Public Administration in Central and Eastern Europe (NISPAcee)—the European Association for Public Administration Accreditation (EAPAA). This chapter presents the development of EAPAA in the last two decades and the experiences made with voluntary accreditation of academic PA programmes in Europe. The authors illustrate the basic accreditation concept of EAPAA, its integration into the European quality assurance institutions and the scope of accreditation missions over time. Finally, the effects of accreditation measures in the educational field of PA are discussed.
Active use of social networking sites (SNSs) has long been assumed to benefit users' well-being. However, this established hypothesis is increasingly being challenged, with scholars criticizing its lack of empirical support and the imprecise conceptualization of active use. Nevertheless, with considerable heterogeneity among existing studies on the hypothesis and causal evidence still limited, a final verdict on its robustness is still pending. To contribute to this ongoing debate, we conducted a week-long randomized control trial with N = 381 adult Instagram users recruited via Prolific. Specifically, we tested how active SNS use, operationalized as picture postings on Instagram, affects different dimensions of well-being. The results depicted a positive effect on users' positive affect but null findings for other well-being outcomes. The findings broadly align with the recent criticism against the active use hypothesis and support the call for a more nuanced view on the impact of SNSs. <br /> Lay Summary Active use of social networking sites (SNSs) has long been assumed to benefit users' well-being. However, this established assumption is increasingly being challenged, with scholars criticizing its lack of empirical support and the imprecise conceptualization of active use. Nevertheless, with great diversity among conducted studies on the hypothesis and a lack of causal evidence, a final verdict on its viability is still pending. To contribute to this ongoing debate, we conducted a week-long experimental investigation with 381 adult Instagram users. Specifically, we tested how posting pictures on Instagram affects different aspects of well-being. The results of this study depicted a positive effect of posting Instagram pictures on users' experienced positive emotions but no effects on other aspects of well-being. The findings broadly align with the recent criticism against the active use hypothesis and support the call for a more nuanced view on the impact of SNSs on users.
Adam Smith's "Two Distinct Benefits" from Trade: The Dead End of "Vent-for-Surplus" Interpretations
(2015)
Adieu Rabenmutter-culture, fertility, female labour supply, the gender wage gap and childcare
(2014)
This paper studies the effect of cultural attitudes on childcare provision, fertility, female labour supply and the gender wage gap. Cross-country data show that fertility, female labour force participation and childcare provision are positively correlated with each other, while the gender wage gap seems to be negatively correlated with these variables. The paper presents a model with endogenous fertility, female labour supply and childcare choices driven by cultural attitudes which fits these facts. There may exist multiple equilibria: one with zero childcare provision, low fertility and female labour supply and high wage gap and one with high childcare provision, high fertility and female labour supply and low wage gap.
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.
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.
Adult education on quality management and other cross-selectional aspects of public administration
(2003)
The paper presents the implementation of Business Process Management in a large international company. The business case illustrates the main objectives and approach taken with the BPM initiative. Central element of the BPM implementation was the development of a process framework which consists of a reference process house (RPH) and common methods for process management across the company. In order to assess the implementation of Business Process Management and the achievements a process management maturity assessment was developed and implemented. The maturity model is based on nine categories which comprehensively cover all aspects which impact the success of Business Process Management. Some findings of the first assessment cycle are pinpointed to illustrate the benefits and best practice exchange as a result of the assessment.
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.
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.
Algorithmic management
(2022)
Algorithmic management
(2022)
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.
All or nothing
(2020)
This paper develops a new perspective on stranded assets in climate policy using a partial equilibrium model of the energy sector. Political-economy related aspects are considered in the government's objective function. Lobbying power of firms or fiscal considerations by the government lead to time inconsistency: The government will deviate from a previously announced carbon tax which creates stranded assets. Under rational expectations, we show that a time-consistent policy outcome exists with either a zero carbon tax or a prohibitive carbon tax that leads to zero fossil investments - an "all-or-nothing" policy. Although stranded assets are crucial to such a bipolar outcome, they disappear again under time-consistent policy. Which of the two outcomes (all or nothing) prevails depends on the lobbying power of owners of fixed factors (land and fossil resources) but not on fiscal revenue considerations or on the lobbying power of renewable or fossil energy firms.
In the past academic libraries in Germany have been successfully undertaking joint endeavors toward a social and political definition of the knowledge society by cooperatively developing ways to provide information and increasing the digital forms of metadata and media. In doing so, they have unintentionally created the basis for a competitive playing field in which the individual library must establish strategic positions for success if it is to maintain viability and ensure continuous flow of resources. This article develops a framework for discussing such alternative and potentially successful strategies from the point of view of a university library
Media artists have been struggling for financial survival ever since media art came into being. The non-material value of the artwork, a provocative attitude towards the traditional arts world and originally anti-capitalist mindset of the movement makes it particularly difficult to provide a constructive solution. However, a cultural entrepreneurial approach can be used to build a framework in order to find a balance between culture and business while ensuring that the cultural mission remains the top priority.
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.
The concept of adaptability has been widely recognised as research field in recent years. Business information systems play a key part in terms of business performance. Adaptability of information systems therefore is a primary goal of vendors and end-users. However, so far concepts that help to determine the adaptability of Information Systems are missing. Based on research results of the project CHANGE1 this contribution presents an integrated process model addressing the problem and a possible solution.
We take an error management perspective on audit quality. Drawing on 18 months of participant observations and 38 interviews conducted in a Big 4 accounting firm, we develop a multi-level model of error management. With this model, we propose how organizational structures, team procedures and practices, and individual cognitions and emotions interact to manage errors. The multi-level model of error management allows us to conceptually integrate previous behavioral and social research on audit quality, contributes to the rising accounting firm error management literature, and explains how and why two general approaches from the broader error management literature to errors that are usually considered as opposing each other, i.e., error prevention and error resilience, may interact and actually entail each other in accounting firms.
The present thesis introduces an iterative expert-based Bayesian approach for assessing greenhouse gas (GHG) emissions from the 2030 German new vehicle fleet and quantifying the impacts of their main drivers. A first set of expert interviews has been carried out in order to identify technologies which may help to lower car GHG emissions and to quantify their emission reduction potentials. Moreover, experts were asked for their probability assessments that the different technologies will be widely adopted, as well as for important prerequisites that could foster or hamper their adoption. Drawing on the results of these expert interviews, a Bayesian Belief Network has been built which explicitly models three vehicle types: Internal Combustion Engine Vehicles (which include mild and full Hybrid Electric Vehicles), Plug-In Hybrid Electric Vehicles, and Battery Electric Vehicles. The conditional dependencies of twelve central variables within the BBN - battery energy, fuel and electricity consumption, relative costs, and sales shares of the vehicle types - have been quantified by experts from German car manufacturers in a second series of interviews. For each of the seven second-round interviews, an expert's individually specified BBN results. The BBN have been run for different hypothetical 2030 scenarios which differ, e.g., in regard to battery development, regulation, and fuel and electricity GHG intensities. The present thesis delivers results both in regard to the subject of the investigation and in regard to its method. On the subject level, it has been found that the different experts expect 2030 German new car fleet emission to be at 50 to 65% of 2008 new fleet emissions under the baseline scenario. They can be further reduced to 40 to 50% of the emissions of the 2008 fleet though a combination of a higher share of renewables in the electricity mix, a larger share of biofuels in the fuel mix, and a stricter regulation of car CO$_2$ emissions in the European Union. Technically, 2030 German new car fleet GHG emissions can be reduced to a minimum of 18 to 44% of 2008 emissions, a development which can not be triggered by any combination of measures modeled in the BBN alone but needs further commitment. Out of a wealth of existing BBN, few have been specified by individual experts through elicitation, and to my knowledge, none of them has been employed for analyzing perspectives for the future. On the level of methods, this work shows that expert-based BBN are a valuable tool for making experts' expectations for the future explicit and amenable to the analysis of different hypothetical scenarios. BBN can also be employed for quantifying the impacts of main drivers. They have been demonstrated to be a valuable tool for iterative stakeholder-based science approaches.
Previous research on open innovation (OI) has primarily focused on the organisational level of R&D intensive industries. With this paper, we contribute to research on the individual level of analysis by analysing specific perspectives in the context of creative industries. Our study is based on 36 interviews with Haute cuisine chefs in France, Germany, Great Britain, Italy, Spain, Sweden, and Switzerland listed in the 2012 Michelin Guide. Building on the OI capability concept, our results demonstrate that chefs use absorptive and desorptive capacity (AC, DC) as means to generate and market culinary innovations, respectively. Moreover, we found that chefs almost exclusively rely on their own inventive and innovative capabilities in the early stages of the culinary innovation process. In subsequent phases, however, chefs increasingly integrate other sources such as employees, suppliers, and guests. Our study contributes to the literature in two ways. First, we research the individual level within the OI process, and second, we provide insight into OI practices in the creative industries.
An integrated analysis of industrial policies and social security systems in countries in transition
(2000)
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.
Helping overcome distance, the use of videoconferencing tools has surged during the pandemic. To shed light on the consequences of videoconferencing at work, this study takes a granular look at the implications of the self-view feature for meeting outcomes. Building on self-awareness research and self-regulation theory, we argue that by heightening the state of self-awareness, self-view engagement depletes participants’ mental resources and thereby can undermine online meeting outcomes. Evaluation of our theoretical model on a sample of 179 employees reveals a nuanced picture. Self-view engagement while speaking and while listening is positively associated with self-awareness, which, in turn, is negatively associated with satisfaction with meeting process, perceived productivity, and meeting enjoyment. The criticality of the communication role is put forward: looking at self while listening to other attendees has a negative direct and indirect effect on meeting outcomes; however, looking at self while speaking produces equivocal effects.
Although Germany does not figure among the 'forerunners' of managerial reforms of the public sector, it has a long tradition of agencies and non-departmental bodies at the federal level. Over time, the federal administration has developed into a highly differentiated 'administrative zoo' with a large number of species, questioning the image of a well-ordered German bureaucracy. The article addresses organizational changes among non-ministerial agencies during the past 20 years and ministry-agency relations, drawing on data from a comprehensive survey of the federal administration. The structural changes we observe are neither comprehensive nor planned; they are much more evolutionary than revolutionary, driven by sectoral policies and not by any overall agency policy, supported more by regulatory than by managerial reforms, and most of the changes are horizontal mergers or successions of existing organizations, while we find almost no evidence for hiving-off from ministries to agencies. At the same time, federal agencies report a lot of bureaucratic discretion, whereas they perceive substantial levels of 'red tape' due to administrative regulations. We also find that traditional, hierarchical modes of ministerial oversight are still dominating; only few agencies have performance agreements with measurable goals.
Anti-Consumption
(2019)
Transcending the conventional debate around efficiency in sustainable consumption, anti-consumption patterns leading to decreased levels of material consumption have been gaining importance. Change agents are crucial for the promotion of such patterns, so there may be lessons for governance interventions that can be learnt from the every-day experiences of those who actively implement and promote sustainability in the field of anti-consumption. Eighteen social innovation pioneers, who engage in and diffuse practices of voluntary simplicity and collaborative consumption as sustainable options of anti-consumption share their knowledge and personal insights in expert interviews for this research. Our qualitative content analysis reveals drivers, barriers, and governance strategies to strengthen anti-consumption patterns, which are negotiated between the market, the state, and civil society. Recommendations derived from the interviews concern entrepreneurship, municipal infrastructures in support of local grassroots projects, regulative policy measures, more positive communication to strengthen the visibility of initiatives and emphasize individual benefits, establishing a sense of community, anti-consumer activism, and education. We argue for complementary action between top-down strategies, bottom-up initiatives, corporate activities, and consumer behavior. The results are valuable to researchers, activists, marketers, and policymakers who seek to enhance their understanding of materially reduced consumption patterns based on the real-life experiences of active pioneers in the field.
Application of knowledge management methods for the improvement of education and training needs
(2006)
This contribution presents an approach for requirement oriented team building in industrial processes like product development. This will be based on the knowledge modelling and description language (KMDL(R)) that enables the modelling and analysis of knowledge intensive business processes. First the basic elements of the modelling technique are described, presenting the concept and the description language. Furthermore it is shown how the KMDL(R) process models can be used as a basis for the team building component. Therefore, an algorithm was developed that is able to propose a team composition for a specific task by analyzing the knowledge and skills of the employees, which will be contrasted to the process requirements. This can be used as guidance for team building decisions.
This article contributes to the debate on the use of performance information in the context of public sector performance management. Based on case studies, the authors analyze the appropriateness of the performance information provided in the newly established performance budgets of municipalities in Germany and Italy. They also examine the interest of politicians and senior managers in using such information for decision-making and monitoring within the municipal budget cycle. They find that the use of performance information is generally quite modest, and that the interest of different local actors varies to a great extent. Politicians are generally less interested in such information than top managers, particularly chief financial officers. The results are discussed by applying a theoretical framework based on institutional and legitimacy theories, and are compared with the literature on performance information use.
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.
Audit Committees
(2002)
This study examines how the size of trade unions relative to the la- bor force impacts on the desirability of different organizational forms of self-financing unemployment insurance (UI) for workers, firms, and with reference to an efficiency criterion. For this purpose, we respectively nu- merically compare the outcome of a model with a uniform payroll tax to a model where workers pay taxes according to their systematic risk of unemployment. Our results highlight the importance of the bargaining structure for the assessment of a particular UI scheme. Most importantly, it depends on the size of the unions whether efficiency favors a uniform or a differentiated UI scheme.
Within our research group Bayesian Risk Solutions we have coined the idea of a Bayesian Risk Management (BRM). It claims (1) a more transparent and diligent data analysis as well as (2)an open-minded incorporation of human expertise in risk management. In this dissertation we formulize a framework for BRM based on the two pillars Hardcore-Bayesianism (HCB) and Softcore-Bayesianism (SCB) providing solutions for the claims above. For data analysis we favor Bayesian statistics with its Markov Chain Monte Carlo (MCMC) simulation algorithm. It provides a full illustration of data-induced uncertainty beyond classical point-estimates. We calibrate twelve different stochastic processes to four years of CO2 price data. Besides, we calculate derived risk measures (ex ante/ post value-at-risks, capital charges, option prices) and compare them to their classical counterparts. When statistics fails because of a lack of reliable data we propose our integrated Bayesian Risk Analysis (iBRA) concept. It is a basic guideline for an expertise-driven quantification of critical risks. We additionally review elicitation techniques and tools supporting experts to express their uncertainty. Unfortunately, Bayesian thinking is often blamed for its arbitrariness. Therefore, we introduce the idea of a Bayesian due diligence judging expert assessments according to their information content and their inter-subjectivity.
Be Creative, Now!
(2018)
Purpose – This thesis set out to explore, describe, and evaluate the reality behind the rhetoric of freedom and control in the context of creativity. The overarching subject is concerned with the relationship between creativity, freedom, and control, considering freedom is also seen as an element of control to manage creativity.
Design/methodology/approach – In-depth qualitative data gathered from at two innovative start-ups. Two ethnographic studies were conducted. The data are based on participatory observations, interviews, and secondary sources, each of which included a three months field study and a total of 41 interviews from both organizations.
Findings – The thesis provides explanations for the practice of freedom and the control of creativity within organizations and expands the existing theory of neo-normative control. The findings indicate that organizations use complex control systems that allow a high degree of freedom that paradoxically leads to more control. Freedom is a cover of control, which in turn leads to creativity. Covert control even results in the responsibility to be creative outside working hours.
Practical implications – Organizations, which rely on creativity might use the results of this thesis. Positive workplace control of creativity provides both freedom and structure for creative work. While freedom leads to organizational members being more motivated and committing themselves more strongly to their and the organization’s goals, and a specific structure also helps to provide the requirements for creativity.
Originality/value – The thesis provides an insight into an approach to workplace control, which has mostly neglected in creativity research and proposes a modified concept of neo-normative control. It serves to provide a further understanding of freedom for creativity and to challenge the liberal claims of new control forms.
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.
We test the stability of locus of control, a measure that has been attributed substantial explanatory power for economic outcomes since it depicts how much people believe in their ability to affect life outcomes. Using the German Socio-Economic Panel, we find that a job loss due to a plant closure has no long-lasting effect on locus of control. The common assumption of its stability is thus not rejected. However, during unemployment, control perception decreases by 30 percent of one standard deviation. The effect holds true independent from unemployment duration or socio-demographic characteristics and vanishes as soon as the unemployed find a new job. We therefore conclude that stated locus of control is affected by unemployment. Using this trait as explanatory variable can thus lead to biased estimations when this temporary deviation in measurement is not accounted for.
Increasing production activities have been observed in many EU member states since the EU Commission sent a clear signal establishing and supporting the bioenergy industry. This article discusses current sector developments and therewith evolving biofuel value chain activities and management requirements by means of two German biofuel processing firms. Usually, the processing company can be regarded as the initiator of the regional value chains. In order to safeguard the high initial investments and secure efficient supply, the processing company relies on contract farming or profit participation rights rather than spot market interactions. In addition to discussing that point, this paper also explores opportunities and threats for the suppliers of raw materials as well as for the processors.
We analyze whether start-up rates in different industries systematically change with business cycle variables. Using a unique data set at the industry level, we mostly find correlations that are consistent with counter-cyclical influences of the business cycle on entries in both innovative and non-innovative industries. Entries into the large-scale industries, including the innovative part of manufacturing, are only influenced by changes in the cyclical component of unemployment, while entries into small-scale industries, like knowledge intensive services, are mostly influenced by changes in the cyclical component of GDP. Thus, our analysis suggests that favorable conditions in terms of high GDP might not be germane for start-ups. Given that both innovative and non-innovative businesses react counter-cyclically in ‘regular’ recessions, business formation may have a stabilizing effect on the economy.
We investigate whether people are more willing to become self-employed during boom periods or during recessions and to what extent business cycles and unemployment levels influence entries into entrepreneurship. Our analysis for Germany reveals that there is a positive relationship between unemployment rates and start-up activities. Moreover, new business formation is higher during recessions than in boom periods, implying that it is counter-cyclical. When disentangling periods of low and high unemployment we find that the effect of unemployment on new business formation is only statistically significant if the level of unemployment is below the trend, indicating a "low unemployment retain effect".
Entrepreneurship is known to be a main driver of economic growth. Hence, governments have an interest in supporting and promoting entrepreneurial activities. Start-up subsidies, which have been analyzed extensively, only aim at mitigating the lack of financial capital. However, some entrepreneurs also lack in human, social, and managerial capital. One way to address these shortcomings is by subsidizing coaching programs for entrepreneurs. However, theoretical and empirical evidence about business coaching and programs subsidizing coaching is scarce. This dissertation gives an extensive overview of coaching and is the first empirical study for Germany analyzing the effects of coaching programs on its participants. In the theoretical part of the dissertation the process of a business start-up is described and it is discussed how and in which stage of the company’s evolvement coaching can influence entrepreneurial success. The concept of coaching is compared to other non-monetary types of support as training, mentoring, consulting, and counseling. Furthermore, national and international support programs are described. Most programs have either no or small positive effects. However, there is little quantitative evidence in the international literature. In the empirical part of the dissertation the effectiveness of coaching is shown by evaluating two German coaching programs, which support entrepreneurs via publicly subsidized coaching sessions. One of the programs aims at entrepreneurs who have been employed before becoming self-employed, whereas the other program is targeted at former unemployed entrepreneurs. The analysis is based on the evaluation of a quantitative and a qualitative dataset. The qualitative data are gathered by intensive one-on-one interviews with coaches and entrepreneurs. These data give a detailed insight about the coaching topics, duration, process, effectiveness, and the thoughts of coaches and entrepreneurs. The quantitative data include information about 2,936 German-based entrepreneurs. Using propensity score matching, the success of participants of the two coaching programs is compared with adequate groups of non-participants. In contrast to many other studies also personality traits are observed and controlled for in the matching process. The results show that only the program for former unemployed entrepreneurs has small positive effects. Participants have a larger survival probability in self-employment and a larger probability to hire employees than matched non-participants. In contrast, the program for former employed individuals has negative effects. Compared to individuals who did not participate in the coaching program, participants have a lower probability to stay in self-employment, lower earned net income, lower number of employees and lower life satisfaction. There are several reasons for these differing results of the two programs. First, former unemployed individuals have more basic coaching needs than former employed individuals. Coaches can satisfy these basic coaching needs, whereas former employed individuals have more complex business problems, which are not very easy to be solved by a coaching intervention. Second, the analysis reveals that former employed individuals are very successful in general. It is easier to increase the success of former unemployed individuals as they have a lower base level of success than former employed individuals. An effect heterogeneity analysis shows that coaching effectiveness differs by region. Coaching for previously unemployed entrepreneurs is especially useful in regions with bad labor market conditions. In summary, in line with previous literature, it is found that coaching has little effects on the success of entrepreneurs. The previous employment status, the characteristics of the entrepreneur and the regional labor market conditions play a crucial role in the effectiveness of coaching. In conclusion, coaching needs to be well tailored to the individual and applied thoroughly. Therefore, governments should design and provide coaching programs only after due consideration.
We conduct experiments based on the oligopoly model by Kreps and Scheinkman (1983) to assess the impact of demand side concentration on market outcomes. Both buyers and sellers in our markets are humans. The number of firms is fixed at three in all treatments. Only the number of buyers is varied and total demand is split equally among them. We observe that firms set lower prices in markets with only few buyers, namely one or two. Price dispersion is higher in markets with few buyers. Aggregate demand withholding decreases with the number of buyers. This results in lower profits for firms and higher profits for buyers in markets with few buyers. (C) 2015 Elsevier B.V. All rights reserved.
Economists argue that land rent taxation is an ideal form of taxation as it causes no deadweight losses. Nevertheless, pure land rent taxation is rarely applied. This paper revisits the case of land taxation for developing countries. We first provide an up-to-date review on land taxation in development countries, including feasibility and implementation challenges. We then simulate land tax reforms for Rwanda, Peru, Nicaragua and Indonesia, based on household surveys. We find that (i) land taxes provide a substantial untapped potential for tax revenues at minimal deadweight losses; that (ii) linear land value taxes tend to put a high relative burden on poor households as land ownership is pervasive; (iii) non-linear tax schemes could avoid adverse effects on the poor; and that (iv) with technological advances, administrative costs of land taxes have reduced substantially and are outweighed by tax revenues and co-benefits of formalized land tenure. Enforcement and compliance remain, however, a key challenge.
The thesis assesses the contribution of technology option of Carbon Capture and Sequestration (CCS) to climate change mitigation. CCS means that CO2 is captured at large industrial facilities and sequestered in goelogical structures. The technology uses the endogenous growth model MIND. Herein the various climate change mitigation options of reducing economic growth, increasing energy efficiency, changing the energy mix and CCS are assessed simultaneously. An important question is whether CCS is a temporary or long-term solution. The results show that in the middle of the 21st century CCS has its peak contribution, which allows prolonged use of relatively cheap fossil energy carriers. However, this leads to delayed introduction of renewable energy carriers. The technology path ways are accombined with different costs of climate change mitigation. The use of CCS delays and reduces the costs of climate change mitigation. However, the delayed introduction of renewable energy carriers leads to reduced technological learning, which induces higher costs in the longer term. All in all the temporary use of CCS reduces the costs of climate change mitigation costs. The result is robust, which is tested with various uncertainty analysis.
Several scholars concerned with global policy-making have recently pointed to a reconfiguration of authority in the area of climate politics. They have shown that various new carbon governance arrangements have emerged, which operate simultaneously at different governmental levels. However, despite the numerous descriptions and mapping exercises of these governance arrangements, we have little systematic knowledge on their workings within national jurisdictions, let alone about their impact on public-administrative systems in developing countries. Therefore, this article opens the black box of the nation-state and explores how and to what extent two different arrangements, that is, Transnational City Networks and Reducing Emissions from Deforestation and Forest Degradation, generate changes in the distribution of public authority in nation-states and their administrations. Building upon conceptual assumptions that the former is likely to lead to more decentralized, and the latter to more centralized policy-making, we provide insights from case studies in Indonesia, South Africa, Brazil, and India. In a nutshell, our analysis underscores that Transnational City Networks strengthen climate-related actions taken by cities without ultimately decentralizing climate policy-making. On the other hand, Reducing Emissions from Deforestation and Forest Degradation tends to reinforce the competencies of central governments, but apparently does not generate a recentralization of the forestry sector at large.
Digital transformation (DT) has not only been a major challenge in recent years, it is also supposed to continue to enormously impact our society and economy in the forthcoming decade. On the one hand, digital technologies have emerged, diffusing and determining our private and professional lives. On the other hand, digital platforms have leveraged the potentials of digital technologies to provide new business models. These dynamics have a massive effect on individuals, companies, and entire ecosystems. Digital technologies and platforms have changed the way persons consume or interact with each other. Moreover, they offer companies new opportunities to conduct their business in terms of value creation (e.g., business processes), value proposition (e.g., business models), or customer interaction (e.g., communication channels), i.e., the three dimensions of DT. However, they also can become a threat for a company's competitiveness or even survival. Eventually, the emergence, diffusion, and employment of digital technologies and platforms bear the potential to transform entire markets and ecosystems.
Against this background, IS research has explored and theorized the phenomena in the context of DT in the past decade, but not to its full extent. This is not surprising, given the complexity and pervasiveness of DT, which still requires far more research to further understand DT with its interdependencies in its entirety and in greater detail, particularly through the IS perspective at the confluence of technology, economy, and society. Consequently, the IS research discipline has determined and emphasized several relevant research gaps for exploring and understanding DT, including empirical data, theories as well as knowledge of the dynamic and transformative capabilities of digital technologies and platforms for both organizations and entire industries.
Hence, this thesis aims to address these research gaps on the IS research agenda and consists of two streams. The first stream of this thesis includes four papers that investigate the impact of digital technologies on organizations. In particular, these papers study the effects of new technologies on firms (paper II.1) and their innovative capabilities (II.2), the nature and characteristics of data-driven business models (II.3), and current developments in research and practice regarding on-demand healthcare (II.4). Consequently, the papers provide novel insights on the dynamic capabilities of digital technologies along the three dimensions of DT. Furthermore, they offer companies some opportunities to systematically explore, employ, and evaluate digital technologies to modify or redesign their organizations or business models.
The second stream comprises three papers that explore and theorize the impact of digital platforms on traditional companies, markets, and the economy and society at large. At this, paper III.1 examines the implications for the business of traditional insurance companies through the emergence and diffusion of multi-sided platforms, particularly in terms of value creation, value proposition, and customer interaction. Paper III.2 approaches the platform impact more holistically and investigates how the ongoing digital transformation and "platformization" in healthcare lastingly transform value creation in the healthcare market. Paper III.3 moves on from the level of single businesses or markets to the regulatory problems that result from the platform economy for economy and society, and proposes appropriate regulatory approaches for addressing these problems. Hence, these papers bring new insights on the table about the transformative capabilities of digital platforms for incumbent companies in particular and entire ecosystems in general.
Altogether, this thesis contributes to the understanding of the impact of DT on organizations and markets through the conduction of multiple-case study analyses that are systematically reflected with the current state of the art in research. On this empirical basis, the thesis also provides conceptual models, taxonomies, and frameworks that help describing, explaining, or predicting the impact of digital technologies and digital platforms on companies, markets and the economy or society at large from an interdisciplinary viewpoint.
From an active labor market policy perspective, start-up subsidies for unemployed individuals are very effective in improving long-term labor market outcomes for participants. From a business perspective, however, the assessment of these public programs is less clear since they might attract individuals with low entrepreneurial abilities and produce businesses with low survival rates and little contribution to job creation, economic growth, and innovation. In this paper, we use a rich data set to compare participants of a German start-up subsidy program for unemployed individuals to a group of regular founders who started from nonunemployment and did not receive the subsidy. The data allows us to analyze their business performance up until 40 months after business formation. We find that formerly subsidized founders lag behind not only in survival and job creation, but especially also in innovation activities. The gaps in these business outcomes are relatively constant or even widening over time. Hence, we do not see any indication of catching up in the longer run. While the gap in survival can be entirely explained by initial differences in observable start-up characteristics, the gap in business development remains and seems to be the result of restricted access to capital as well as differential business strategies and dynamics. Considering these conflicting results for the assessment of the subsidy program from an ALMP and business perspective, policy makers need to carefully weigh the costs and benefits of such a strategy to find the right policy mix.
Business cases (BC) are often used to support information systems (IS) investment evaluation. Unfortunately, business case development (BCD) is a complex task, especially identifying and quantifying the benefits of a proposed investment. Although today’s business case frameworks (BCF) support BCD to some extent, they have several limitations
Advancing digitalization is changing society and has far-reaching effects on people and companies. Fundamental to these changes are the new technological possibilities for processing data on an ever-increasing scale and for various purposes. The availability of large and high-quality data sets, especially those based on personal data, is crucial. They are used either to improve the productivity, quality, and individuality of products and services or to develop new types of services. Today, user behavior is tracked more actively and comprehensively than ever despite increasing legal requirements for protecting personal data worldwide. That increasingly raises ethical, moral, and social questions, which have moved to the forefront of the political debate, not least due to popular cases of data misuse. Given this discourse and the legal requirements, today's data management must fulfill three conditions: Legality or legal conformity of use and ethical legitimacy. Thirdly, the use of data should add value from a business perspective. Within the framework of these conditions, this cumulative dissertation pursues four research objectives with a focus on gaining a better understanding of
(1) the challenges of implementing privacy laws,
(2) the factors that influence customers' willingness to share personal data,
(3) the role of data protection for digital entrepreneurship, and
(4) the interdisciplinary scientific significance, its development, and its interrelationships.
Changing innovation in the pharmaceutical industry : globalization and new ways of drug development
(2000)
Choice-based Conjointanalyse
(2008)