TY - GEN A1 - de Haas, Samuel A1 - Paha, Johannes T1 - Non-controlling minority shareholdings and collusion T2 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe N2 - This article merges theoretical literature on non-controlling minority shareholdings (NCMS) in a coherent model to study the effects of NCMS on competition and collusion. The model encompasses both the case of a common owner holding shares of rival firms as well as the case of cross ownership among rivals. We find that by softening competition, NCMS weaken the sustainability of collusion under a greater variety of situations than was indicated by earlier literature. Such effects exist, in particular, in the presence of an effective competition authority. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 166 KW - collusion KW - common ownership KW - cross ownership KW - minority shareholdings Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-595993 SN - 0889-938X SN - 1573-7160 SN - 1867-5808 IS - 3 ER - TY - THES A1 - Panzer, Marcel T1 - Design of a hyper-heuristics based control framework for modular production systems T1 - Design eines auf Hyperheuristiken basierenden Steuerungsframeworks für modulare Produktionssysteme N2 - Volatile supply and sales markets, coupled with increasing product individualization and complex production processes, present significant challenges for manufacturing companies. These must navigate and adapt to ever-shifting external and internal factors while ensuring robustness against process variabilities and unforeseen events. This has a pronounced impact on production control, which serves as the operational intersection between production planning and the shop- floor resources, and necessitates the capability to manage intricate process interdependencies effectively. Considering the increasing dynamics and product diversification, alongside the need to maintain constant production performances, the implementation of innovative control strategies becomes crucial. In recent years, the integration of Industry 4.0 technologies and machine learning methods has gained prominence in addressing emerging challenges in production applications. Within this context, this cumulative thesis analyzes deep learning based production systems based on five publications. Particular attention is paid to the applications of deep reinforcement learning, aiming to explore its potential in dynamic control contexts. Analysis reveal that deep reinforcement learning excels in various applications, especially in dynamic production control tasks. Its efficacy can be attributed to its interactive learning and real-time operational model. However, despite its evident utility, there are notable structural, organizational, and algorithmic gaps in the prevailing research. A predominant portion of deep reinforcement learning based approaches is limited to specific job shop scenarios and often overlooks the potential synergies in combined resources. Furthermore, it highlights the rare implementation of multi-agent systems and semi-heterarchical systems in practical settings. A notable gap remains in the integration of deep reinforcement learning into a hyper-heuristic. To bridge these research gaps, this thesis introduces a deep reinforcement learning based hyper- heuristic for the control of modular production systems, developed in accordance with the design science research methodology. Implemented within a semi-heterarchical multi-agent framework, this approach achieves a threefold reduction in control and optimisation complexity while ensuring high scalability, adaptability, and robustness of the system. In comparative benchmarks, this control methodology outperforms rule-based heuristics, reducing throughput times and tardiness, and effectively incorporates customer and order-centric metrics. The control artifact facilitates a rapid scenario generation, motivating for further research efforts and bridging the gap to real-world applications. The overarching goal is to foster a synergy between theoretical insights and practical solutions, thereby enriching scientific discourse and addressing current industrial challenges. N2 - Volatile Beschaffungs- und Absatzmärkte sowie eine zunehmende Produktindividualisierung konfrontieren Fertigungsunternehmen mit beträchtlichen Herausforderungen. Diese erfordern eine Anpassung der Produktion an sich ständig wechselnde externe Einflüsse und eine hohe Prozessrobustheit gegenüber unvorhersehbaren Schwankungen. Ein Schlüsselelement in diesem Kontext ist die Produktionssteuerung, die als operative Schnittstelle zwischen der Produktions- planung und den Fertigungsressourcen fungiert und eine effiziente Handhabung zahlreicher Prozessinterdependenzen sicherstellen muss. Angesichts dieser gesteigerten Produktionsdynamik und Produktvielfalt rücken innovative Steuerungsansätze in den Vordergrund. In jüngerer Zeit wurden daher verstärkt Industrie-4.0-Ansätze und Methoden des maschinellen Lernens betrachtet. Im Kontext der aktuellen Forschung analysiert die vorliegende kumulative Arbeit Deep-Learning basierte Produktionssysteme anhand von fünf Publikationen. Hierbei wird ein besonderes Augenmerk auf die Anwendungen des Deep Reinforcement Learning gelegt, um dessen Potenzial zu ergründen. Die Untersuchungen zeigen, dass das Deep Reinforcement Learning in vielen Produktionsanwendungen sowohl herkömmlichen Ansätzen als auch an- deren Deep-Learning Werkzeugen überlegen ist. Diese Überlegenheit ergibt sich vor allem aus dem interaktiven Lernprinzip und der direkten Interaktion mit der Umwelt, was es für die dynamische Produktionssteuerung besonders geeignet macht. Dennoch werden strukturelle, organisatorische und algorithmische Forschungslücken identifiziert. Die überwiegende Mehrheit der untersuchten Ansätze fokussiert sich auf Werkstattfertigungen und vernachlässigt dabei potenzielle Prozesssynergien modularer Produktionssysteme. Ferner zeigt sich, dass Multi- Agenten- und Mehr-Ebenen-Systeme sowie die Kombination verschiedener algorithmischer Ansätze nur selten zur Anwendung kommen. Um diese Forschungslücken zu adressieren, wird eine auf Deep Reinforcement Learning basierende Hyper-Heuristik für die Steuerung modularer Produktionssysteme vorgestellt, die nach der Design Science Research Methodology entwickelt wird. Ein semi-heterarchisches Multi-Agenten-System ermöglicht eine dreifache Reduktion der Steuerungs- und Optimierungs- komplexität und gewährleistet gleichzeitig eine hohe Systemadaptabilität und -robustheit. In Benchmarks übertrifft das Steuerungskonzept regelbasierte Ansätze, minimiert Durchlaufzeiten und Verspätungen und berücksichtigt kunden- sowie auftragsorientierte Kennzahlen. Die ent- wickelte Steuerungsmethodik ermöglicht einen schnellen Szenarienentwurf, um dadurch weitere Forschungsbemühungen zu stimulieren und die bestehende Transferlücke zur Realität weiter zu überbrücken. Das Ziel dieser Forschungsarbeit ist es, eine Synergie zwischen theoretischen Erkenntnissen und Praxis-relevanten Lösungen zu schaffen, um sowohl den wissenschaftlichen Diskurs zu bereichern als auch Antworten auf aktuelle industrielle Herausforderungen zu bieten. KW - modular production KW - deep learning KW - modulare Produktion KW - Produktionssteuerung KW - Deep Learning KW - Reinforcement Learning KW - Simulation KW - production control KW - reinforcement learning KW - simulation Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-633006 ER - TY - JOUR A1 - Loewenthal, Amit A1 - Miaari, Sami H. A1 - Abrahams, Alexei T1 - How civilian attitudes respond to the state's violence BT - lessons from the Israel-Gaza conflict JF - Conflict management and peace science N2 - States, in their conflicts with militant groups embedded in civilian populations, often resort to policies of collective punishment to erode civilian support for the militants. We attempt to evaluate the efficacy of such policies in the context of the Gaza Strip, where Israel's blockade and military interventions, purportedly intended to erode support for Hamas, have inflicted hardship on the civilian population. We combine Palestinian public opinion data, Palestinian labor force surveys, and Palestinian fatalities data, to understand the relationship between exposure to Israeli policies and Palestinian support for militant factions. Our baseline strategy is a difference-in-differences specification that compares the gap in public opinion between the Gaza Strip and the West Bank during periods of intense punishment with the gap during periods when punishment is eased. Consistent with previous research, we find that Palestinian fatalities are associated with Palestinian support for more militant political factions. The effect is short-lived, however, dissipating after merely one quarter. Moreover, the blockade of Gaza itself appears to be only weakly associated with support for militant factions. Overall, we find little evidence to suggest that Israeli security policies toward the Gaza Strip have any substantial lasting effect on Gazan support for militant factions, neither deterring nor provoking them relative to their West Bank counterparts. Our findings therefore call into question the logic of Israel's continued security policies toward Gaza, while prompting a wider re-examination of the efficacy of deterrence strategies in other asymmetric conflicts. KW - Israeli-Palestinian conflict KW - political preferences KW - public opinion KW - conflict KW - Palestine Y1 - 2022 U6 - https://doi.org/10.1177/07388942221097325 SN - 0738-8942 SN - 1549-9219 PB - Sage Publ. CY - Thousand Oaks ER - TY - THES A1 - Köhler, Wolfgang T1 - Challenges of efficient and compliant data processing T1 - Herausforderungen einer effizienten und gesetzeskonformen Datenverarbeitung BT - assuring legal access to data BT - Sicherstellung des rechtmäßigen Zugangs zu Daten N2 - Die fortschreitende Digitalisierung verändert die Gesellschaft und hat weitreichende Auswirkungen auf Menschen und Unternehmen. Grundlegend für diese Veränderungen sind die neuen technologischen Möglichkeiten, Daten in immer größerem Umfang und für vielfältige neue Zwecke zu verarbeiten. Von besonderer Bedeutung ist dabei die Verfügbarkeit großer und qualitativ hochwertiger Datensätze, insbesondere auf Basis personenbezogener Daten. Sie werden entweder zur Verbesserung der Produktivität, Qualität und Individualität von Produkten und Dienstleistungen oder gar zur Entwicklung neuartiger Dienstleistungen verwendet. Heute wird das Nutzerverhalten, trotz weltweit steigender gesetzlicher Anforderungen an den Schutz personenbezogener Daten, aktiver und umfassender verfolgt als je zuvor. Dies wirft vermehrt ethische, moralische und gesellschaftliche Fragen auf, die nicht zuletzt durch populäre Fälle des Datenmissbrauchs in den Vordergrund der politischen Debatte gerückt sind. Angesichts dieses Diskurses und der gesetzlichen Anforderungen muss heutiges Datenmanagement drei Bedingungen erfüllen: Erstens die Legalität bzw. Gesetzeskonformität der Nutzung, zweitens die ethische Legitimität. Drittens sollte die Datennutzung aus betriebswirtschaftlicher Sicht wertschöpfend sein. Im Rahmen dieser Bedingungen verfolgt die vorliegende kumulative Dissertation vier Forschungsziele mit dem Fokus, ein besseres Verständnis (1) der Herausforderungen bei der Umsetzung von Gesetzen zum Schutz von Privatsphäre, (2) der Faktoren, die die Bereitschaft der Kunden zur Weitergabe persönlicher Daten beeinflussen, (3) der Rolle des Datenschutzes für das digitale Unternehmertum und (4) der interdisziplinären wissenschaftlichen Bedeutung, deren Entwicklung und Zusammenhänge zu erlangen. N2 - 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. KW - General Data Protection Regulation (GDPR) KW - data privacy KW - privacy management KW - Datenschutz-Grundverordnung (DSGVO) KW - Datenschutz KW - Datenschutzmanagement KW - Datenmonetarisierung KW - digitale Produktentwicklung KW - data monetization KW - digital product development Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-627843 ER - TY - CHAP A1 - Balderjahn, Ingo A1 - Hedergott, Doreen A1 - Appenfeller, Dennis A1 - Peyer, Mathias ED - Baier, Daniel ED - Brusch, Michael T1 - Choice-Based Conjointanalyse T2 - Conjointanalyse N2 - Die auswahlbasierte oder auch Choice-Based Conjointanalyse (CBC) ist die derzeit wohl beliebteste Variante der Conjointanalyse. Gründe dafür bestehen einerseits in der leichten Verfügbarkeit benutzerfreundlicher Software (z.B. R, Sawtooth Software), andererseits weist das Verfahren aufgrund seiner Sonderstellung auch aus methodischer sowie praktischer Sicht Stärken auf. So werden bei einer CBC im Gegensatz zur bewertungsbasierten Conjointanalyse keine Präferenzurteile, sondern diskrete Entscheidungen der Auskunftspersonen erhoben und ausgewertet. Bei der CBC handelt es sich also genau genommen um eine Discrete Choice Analyse (DCA), die auf ein conjointanalytisches Erhebungsdesign angewandt wird. Beide Bezeichnungen werden nach wie vor verwendet, die Methodik wird in diesem Kapitel grundlegend und anhand eines Anwendungsbeispiels diskutiert. Y1 - 2021 SN - 978-3-662-63363-2 SN - 978-3-662-63364-9 U6 - https://doi.org/10.1007/978-3-662-63364-9_8 SP - 185 EP - 203 PB - Springer Gabler CY - Berlin ; Heidelberg ET - 2., überarbeitete und erweiterte ER - TY - JOUR A1 - Balderjahn, Ingo A1 - Lee, Michael S. W. A1 - Seegebarth, Barbara A1 - Peyer, Mathias T1 - A sustainable pathway to consumer wellbeing BT - the role of anticonsumption and consumer empowerment JF - The Journal of consumer affairs N2 - 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. Y1 - 2019 U6 - https://doi.org/10.1111/joca.12278 SN - 0022-0078 SN - 1745-6606 VL - 54 IS - 2 SP - 456 EP - 488 PB - Wiley CY - Malden, Mass. ER - TY - JOUR A1 - AbuJarour, Safa'a A1 - Ajjan, Haya A1 - Fedorowicz, Jane A1 - Köster, Antonia T1 - ICT support for refugees and undocumented immigrants JF - Communications of the Association for Information Systems : CAIS N2 - Immigrant integration has become a primary political concern for leaders in Germany and the United States. The information systems (IS) community has begun to research how information and communications technologies can assist immigrants and refugees, such as by examining how countries can facilitate social-inclusion processes. Migrants face the challenge of joining closed communities that cannot integrate or fear doing so. We conducted a panel discussion at the 2019 Americas Conference on Information Systems (AMCIS) in Cancun, Mexico, to introduce multiple viewpoints on immigration. In particular, the panel discussed how technology can both support and prevent immigrants from succeeding in their quest. We conducted the panel to stimulate a thoughtful and dynamic discussion on best practices and recommendations to enhance the discipline's impact on alleviating the challenges that occur for immigrants in their host countries. In this panel report, we introduce the topic of using ICT to help immigrants integrate and identify differences between North/Central America and Europe. We also discuss how immigrants (particularly refugees) use ICT to connect with others, feel that they belong, and maintain their identity. We also uncover the dark and bright sides of how governments use ICT to deter illegal immigration. Finally, we present recommendations for researchers and practitioners on how to best use ICT to assist with immigration. KW - refugees KW - immigration KW - social inclusion KW - deterrence KW - ICT KW - bright side KW - dark side Y1 - 2020 U6 - https://doi.org/10.17705/1CAIS.04840 SN - 1529-3181 VL - 48 SP - 456 EP - 475 PB - Association for Information Systems CY - New York, NY ER - TY - JOUR A1 - AbuJarour, Safa'a A1 - Ajjan, Haya A1 - Fedorowicz, Jane A1 - Owens, Dawn T1 - How working from home during COVID-19 affects academic productivity JF - Communications of the Association for Information Systems : CAIS N2 - The coronavirus disease of 2019 (COVID-19) pandemic has forced most academics to work from home. This sudden venue change can affect academics' productivity and exacerbate the challenges that confront universities as they face an uncertain future. In this paper, we identify factors that influence academics' productivity while working from home during the mandate to self-isolate. From analyzing results from a global survey we conducted, we found that both personal and technology-related factors affect an individual's attitude toward working from home and productivity. Our results should prove valuable to university administrators to better address the work-life challenges that academics face. KW - work from home KW - academic KW - COVID-19 KW - productivity KW - WFH KW - technology KW - usefulness KW - family-work conflict Y1 - 2021 U6 - https://doi.org/10.17705/1CAIS.04808 SN - 1529-3181 VL - 48 SP - 55 EP - 64 PB - Association for Information Systems CY - New York, NY ER - TY - CHAP A1 - Abramova, Olga A1 - Gladkaya, Margarita A1 - Krasnova, Hanna T1 - An unusual encounter with oneself BT - exploring the impact of self-view on online meeting outcomes T2 - ICIS 2021: IS and the future of work N2 - 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. Y1 - 2021 UR - https://aisel.aisnet.org/icis2021/is_future_work/is_future_work/16 PB - AIS Electronic Library (AISeL) CY - [Erscheinungsort nicht ermittelbar] ER - TY - JOUR A1 - Kalkuhl, Matthias A1 - Steckel, Jan Christoph A1 - Edenhofer, Ottmar T1 - All or nothing BT - climate policy when assets can become stranded JF - Journal of environmental economics and management N2 - 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. KW - Climate policy KW - Optimal control KW - Political economy KW - Public finance KW - Credible policy KW - Time inconsistency Y1 - 2020 U6 - https://doi.org/10.1016/j.jeem.2019.01.012 SN - 0095-0696 SN - 1096-0449 VL - 100 PB - Elsevier CY - San Diego ER - TY - RPRT A1 - Margaryan, Shushanik A1 - Saniter, Nils A1 - Schumann, Mathias A1 - Siedler, Thomas T1 - Do internships pay off? BT - the effects of student internships on earnings T2 - Journal of human resources N2 - We study the causal effect of student internship experience in firms on earnings later in life. We use mandatory firm internships at German universities as an instrument for doing a firm internship while attending university. Employing longitudinal data from graduate surveys, we find positive and significant earnings returns of about 6 percent in both ordinary least squares (OLS) and instrumental variables (IV) regressions. The positive returns are particularly pronounced for individuals and areas of study that are characterized by a weak labor market orientation. The empirical findings show that graduates who completed a firm internship face a lower risk of unemployment during the first year of their careers, suggesting a smoother transition to the labor market. Y1 - 2022 U6 - https://doi.org/10.3368/jhr.57.4.0418-9460R2 SN - 0022-166X SN - 1548-8004 VL - 57 IS - 4 SP - 1242 EP - 1275 PB - University of Wisconsin Press CY - Madison ER - TY - JOUR A1 - Baert, By Stijn A1 - Neyt, Brecht A1 - Siedler, Thomas A1 - Tobback, Ilse A1 - Verhaest, Dieter T1 - Student internships and employment opportunities after graduation BT - a field experiment JF - Economics of education review N2 - Internships during tertiary education have become substantially more common over the past decades in many industrialised countries. This study examines the impact of a voluntary intra-curricular internship experience during university studies on the probability of being invited to a job interview. To estimate a causal relationship, we conducted a randomised field experiment in which we sent 1248 fictitious, but realistic, resumes to real job openings. We find that applicants with internship experience have, on average, a 12.6% higher probability of being invited to a job interview. KW - internship KW - hiring KW - field experiment KW - human capital KW - signalling Y1 - 2021 U6 - https://doi.org/10.1016/j.econedurev.2021.102141 SN - 0272-7757 VL - 83 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Marcus, Jan A1 - Siedler, Thomas A1 - Ziebarth, Nicolas R. T1 - The long-run effects of sports club vouchers for primary school children JF - American economic journal: economic policy N2 - Childhood obesity is one of the most serious public health challenges of the twenty-first century. While small-scale experiments change behaviors among adults in the short run, we know little about the effectiveness of large-scale policies or the longer-run impacts. To nudge primary school children into a long-term habit of exercising, the German state of Saxony distributed sports club membership vouchers among all 33,000 third graders in 2009. In 2018, we carried out a register-based survey to evaluate the policy. Even after a decade, awareness of the voucher program was significantly higher in the treatment group. We also find that youth received and redeemed the vouchers. However, we do not find significant short- or long-term effects on sports club membership, physical activity, overweightness, or motor skills. Apparently, membership vouchers for children are not a strong enough policy tool to overcome barriers to exercise regularly. Y1 - 2022 U6 - https://doi.org/10.1257/pol.20200431 SN - 1945-7731 SN - 1945-774X VL - 14 IS - 3 SP - 128 EP - 165 PB - American Economic Association CY - Nashville ER - TY - JOUR A1 - Felfe, Christina A1 - Kocher, Martin G. A1 - Rainer, Helmut A1 - Saurer, Judith A1 - Siedler, Thomas T1 - More opportunity, more cooperation? BT - the behavioral effects of birthright citizenship on immigrant youth JF - Journal of public economics N2 - Inequality of opportunity, particularly when overlaid with socioeconomic, ethnic, or cultural differences, may limit the scope of cooperation between individuals. A central question, then, is how to overcome such obstacles to cooperation. We study this question in the context of Germany, by asking whether the propensity of immigrant youth to cooperate with native peers was affected by a major integration reform: the introduction of birthright citizenship. Our unique setup exploits data from a large-scale lab-in-the-field experiment in a quasi-experimental evaluation framework. We find that the policy caused male, but not female, immigrants to significantly increase their cooperativeness toward natives. We show that the increase in out-group cooperation among immigrant boys is an outcome of more trust rather than a reflection of stronger other-regarding preferences towards natives. In exploring factors that may explain these behavioral effects, we present evidence that the policy also led to a near-closure of the educational achievement gap between young immigrant men and their native peers. Our results high -light that, through integration interventions, governments can modify prosocial behavior in a way that generates higher levels of efficiency in the interaction between social groups. KW - in-group favoritism KW - out-group discrimination KW - birthright citizenship KW - lab-in-the-field experiment KW - natural experiment Y1 - 2021 U6 - https://doi.org/10.1016/j.jpubeco.2021.104448 SN - 0047-2727 SN - 1879-2316 VL - 200 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Fleischer, Julia A1 - Buzogány, Aron T1 - Unboxing international public administrations BT - the politics of structural change in the UN system (1998–2019) JF - The American review of public administration N2 - Recent debates in international relations increasingly focus on bureaucratic apparatuses of international organizations and highlight their role, influence, and autonomy in global public policy. In this contribution we follow the recent call made by Moloney and Rosenbloom in this journal to make use of “public administrative theory and empirically based knowledge in analyzing the behavior of international and regional organizations” and offer a systematic analysis of the inner structures of these administrative bodies. Changes in these structures can reflect both the (re-)assignment of responsibilities, competencies, and expertise, but also the (re)allocation of resources, staff, and corresponding signalling of priorities. Based on organizational charts, we study structural changes within 46 international bureaucracies in the UN system. Tracing formal changes to all internal units over two decades, this contribution provides the first longitudinal assessment of structural change at the international level. We demonstrate that the inner structures of international bureaucracies in the UN system became more fragmented over time but also experienced considerable volatility with periods of structural growth and retrenchment. The analysis also suggests that IO's political features yield stronger explanatory power for explaining these structural changes than bureaucratic determinants. We conclude that the politics of structural change in international bureaucracies is a missing piece in the current debate on international public administrations that complements existing research perspectives by reiterating the importance of the political context of international bureaucracies as actors in global governance. KW - global public policy KW - international public administration KW - structural change Y1 - 2023 U6 - https://doi.org/10.1177/02750740221136488 SN - 0275-0740 SN - 1552-3357 VL - 53 IS - 1 SP - 23 EP - 35 PB - Sage CY - Thousand Oaks, Calif. ER - TY - JOUR A1 - Bäuml, Matthias A1 - Marcus, Jan A1 - Siedler, Thomas T1 - Health effects of a ban on late-night alcohol sales JF - Health economics N2 - This paper studies the impact of a ban on late-night off-premise alcohol sales between 10 p.m. and 5 a.m. in Germany. We use three large administrative data sets: (i) German diagnosis related groups-Statistik, (ii) data from a large social health insurance, and (iii) Road Traffic Accident Statistics. Applying difference-in-differences and synthetic-control-group methods, we find that the ban had no effects on alcohol-related road casualties, but significantly reduced alcohol-related hospitalizations (doctor visits) among young people by around 9 (18) percent. The decrease is driven by fewer hospitalizations due to acute alcohol intoxication during the night—when the ban is in place—but not during the day. KW - alcohol control policies KW - binge drinking KW - difference-in-difference KW - road casualties KW - sales restriction KW - synthetic control Y1 - 2022 U6 - https://doi.org/10.1002/hec.4610 SN - 1099-1050 SN - 1057-9230 VL - 32 IS - 1 SP - 65 EP - 89 PB - Wiley CY - New York, NY ER - TY - JOUR A1 - Singhal, Puja A1 - Pahle, Michael A1 - Kalkuhl, Matthias A1 - Sommer, Stephan A1 - Levesque, Antoine A1 - Berneiser, Jessica T1 - Beyond good faith BT - why evidence-based policy is necessary to decarbonize buildings cost-effectively JF - SSRN eLibrary / Social Science Research Network N2 - 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. KW - energy efficiency KW - decarbonization KW - housing sector KW - heat demand KW - evidence-based policy Y1 - 2021 U6 - https://doi.org/10.2139/ssrn.3947800 SN - 1556-5068 PB - SSRN - Elsevier CY - Rochester, NY ER - TY - RPRT A1 - Kellner, Maximilian A1 - Amberg, Maximilian A1 - Bergmann, Tobias A1 - Roolfs, Christina A1 - Kalkuhl, Matthias T1 - Entlastungspakete für Energiepreisanstiege BT - Auswirkungen und Nachbesserungsbedarf Y1 - 2022 UR - https://www.mcc-berlin.net/fileadmin/user_upload/Kalkuhl/2022_MCC_Entlastungspakete_fuer_Energiepreisanstiege_.pdf U6 - https://doi.org/10.5281/zenodo.6617130 PB - Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH CY - Berlin ER - TY - RPRT A1 - Steckel, Jan Christoph A1 - Missbach, Leonard A1 - Ohlendorf, Nils A1 - Feindt, Simon A1 - Kalkuhl, Matthias T1 - Effects of the energy price crisis on European households BT - socio-political challenges and policy options Y1 - 2022 UR - https://www.mcc-berlin.net/fileadmin/data/C18_MCC_Publications/2022_MCC_Effects_of_the_energy_price_crisis_on_European_households.pdf PB - Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH CY - Berlin ER - TY - RPRT A1 - Kalkuhl, Matthias A1 - Flachsland, Christian A1 - Knopf, Brigitte A1 - Amberg, Maximilian A1 - Bergmann, Tobias A1 - Kellner, Maximilian A1 - Stüber, Sophia A1 - Haywood, Luke A1 - Roolfs, Christina A1 - Edenhofer, Ottmar T1 - Auswirkungen der Energiepreiskrise auf Haushalte in Deutschland BT - sozialpolitische Herausforderungen und Handlungsoptionen Y1 - 2022 UR - https://www.mcc-berlin.net/fileadmin/data/C18_MCC_Publications/2022_MCC_Auswirkungen_der_Energiepreiskrise_auf_Haushalte.pdf PB - Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH CY - Berlin ER -