@article{DonnerMeissnerBort2024, author = {Donner, Eva Katharina and Meißner, Annekatrin and Bort, Suleika}, title = {Moving from voluntary to mandatory sustainability reporting—Transparency in sustainable development goals (SDG) reporting: An analysis of Germany's largest MNCs}, series = {Business Ethics, the Environment \& Responsibility (ISSN: 2694-6424)}, volume = {34}, journal = {Business Ethics, the Environment \& Responsibility (ISSN: 2694-6424)}, number = {3}, publisher = {Wiley}, issn = {2694-6416}, doi = {10.1111/beer.12687}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-16527}, pages = {900 -- 911}, year = {2024}, abstract = {A growing number of multinational companies (MNCs) report on their progress toward contributing to the Sustainable Development Goals (SDGs) in their annual reports, yet the amount and quality of the information they disclose varies significantly. The aim of this study is twofold: First, we investigate how transparent MNCs report on their SDG engagement and second, we study how the reported SDG engagement changed over time due to major shifts in sustainability reporting requirements. Using a dataset of the largest German MNCs, we analyze their disclosure of SDG contribution reporting practices. Our results show that, overall, between 2016 and 2021 all German MNCs increased their SDG reporting activity and that the MNCs adopted four different practices to report their SDG engagement. We also found that the largest MNCs were more transparent and systematic in their SDG reporting than smaller MNCs, whose reporting was more heterogeneous. Our study contributes to legitimacy research and the role of transparency in corporate reporting as well as the debates on the efficacy of sustainability reporting legislation in the context of SDG engagement. Our findings imply that regulations on environmental and social regulation increase the transparency of sustainability reporting.}, language = {en} } @article{GoerigkKhosravi2024, author = {Goerigk, Marc and Khosravi, Mohammad}, title = {Robust combinatorial optimization problems under budgeted interdiction uncertainty}, series = {OR Spectrum (ISSN: 1436-6304)}, volume = {47}, journal = {OR Spectrum (ISSN: 1436-6304)}, number = {1}, publisher = {Springer}, address = {Berlin/Heidelberg}, issn = {0171-6468}, doi = {10.1007/s00291-024-00772-0}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2408131120370.349068848723}, pages = {255 -- 285}, year = {2024}, abstract = {In robust combinatorial optimization, we would like to find a solution that performs well under all realizations of an uncertainty set of possible parameter values. How we model this uncertainty set has a decisive influence on the complexity of the corresponding robust problem. For this reason, budgeted uncertainty sets are often studied, as they enable us to decompose the robust problem into easier subproblems. We propose a variant of discrete budgeted uncertainty for cardinality-based constraints or objectives, where a weight vector is applied to the budget constraint. We show that while the adversarial problem can be solved in linear time, the robust problem becomes NP-hard and not approximable. We discuss different possibilities to model the robust problem and show experimentally that despite the hardness result, some models scale relatively well in the problem size.}, subject = {-}, language = {en} } @article{StrunkStrich2023, author = {Strunk, Kim Simon and Strich, Franz}, title = {Building professional holding environments for crowd work job crafting through online communities}, series = {Information Systems Journal}, volume = {33}, journal = {Information Systems Journal}, publisher = {Wiley}, address = {Hoboken}, doi = {10.1111/isj.12451}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-16315}, pages = {1239 -- 1274}, year = {2023}, abstract = {Work is increasingly being organised via online platforms outside guiding organisational structures. Instead of having colleagues at work, crowd workers connect in online communities. We investigate how crowd workers build professional holding environments in online communities to compensate for the lack of organisational structures and we consider how they craft their crowd work activities to enhance their work experience and reduce its long-term precarity. Following a qualitative research design, this paper uses 675 forum interactions collected across six online communities. Based on our findings, we propose the concept of professional holding environments and provide a model for building such holding environments and job crafting in online communities. We thereby expand previous research on holding environments comprised of family members and friends by revealing the impact of professional online communities and their role in professionalisation and crafting supportive social structures in online crowd work.}, language = {en} } @article{KomanderKoenig2022, author = {Komander, Verena and K{\"o}nig, Andreas}, title = {Organizations on stage: organizational research and the performing arts}, series = {Management Review Quarterly}, volume = {2024}, journal = {Management Review Quarterly}, number = {74}, publisher = {Springer Nature}, address = {Berlin}, doi = {10.1007/s11301-022-00301-9}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2023010321004612876788}, pages = {303 -- 352}, year = {2022}, abstract = {Management and organization scholars have long been intrigued by the performing arts—music, theater, and dance—as a rich context for studying organizational phenomena. Indeed, a plethora of studies suggest that the performing arts are more than an interesting sideline for authors, as they offer unique theoretical and empirical lenses for organization studies. However, this stream of literature spreads across multiple research areas, varies with regard to its underlying theories and methods, and fails to pay sufficient attention to the contextuality of the findings. We address the resulting limitations by identifying and reviewing 89 articles on management and organization related to the performing arts published in 15 top-tier journals between 1976 and 2022. We find that research in the performing arts advances organizational theory and the understanding of organizational phenomena in four key ways, namely by studying (1) organizational phenomena in performing-arts contexts; (2) performing-arts phenomena in organizational contexts; (3) organizational phenomena through the prism of performing-arts theories; and (4) organizational phenomena through the prism of performing-arts practices. We also find that, in contrast to other settings, the performing arts are uniquely suited for immersive participant-observer research and for generating genuine insights into fundamental organizational structures and processes that are generic conditions of the performing arts and management alike, such as leadership, innovation, and the management of uncertainty. Finally, based on our consolidation of the research gaps and limitations of the reviewed studies, we develop a comprehensive agenda for future research.}, language = {en} } @article{SchweiklObermaier2022, author = {Schweikl, Stefan and Obermaier, Robert}, title = {Lost in translation: IT business value research and resource complementarity : an integrative framework, shortcomings and future research directions}, series = {Management Review Quarterly}, volume = {2022}, journal = {Management Review Quarterly}, number = {73}, publisher = {Springer Nature}, address = {Berlin}, doi = {10.1007/s11301-022-00284-7}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2022093021520340946532}, pages = {1713 -- 1749}, year = {2022}, abstract = {Despite longstanding research efforts, there is still ambiguity surrounding the business value created by IT. To approach this conundrum, research focus has progressed from an isolated investigation of IT to the assessment of complementarity between IT and different non-IT resources such as work practices or decision structures. However, incoherence around the characteristics and scope of these complementary non-IT resources has created a fragmented body of research, preventing a sustainable knowledge creation. Thus, in this paper we synthesize the dispersed research efforts, identify shortcomings in the extant literature, and derive opportunities for future research. Specifically, we present a converging definition of complementary non-IT resources and specify their role in the value creation process from IT by viewing it through three distinct lenses: microeconomic theory, resource-based view, and contingency theory. We structure current research efforts by organizing complementary non-IT resources into distinct categories, namely strategy, structure, practices, processes, and culture (organizational resources), top management support, internal relations, and external relations (relational resources), worker skill (non-IT human resources), non-IT physical resources, as well as internal funds and external funds (financial resources). Finally, we highlight five important shortcomings in the current literature, such as the predominant use of reductionist approaches or monolithic IT measures, and make actionable recommendations to resolve them.}, language = {en} } @article{GrimmLuckSteinhuebel2022, author = {Grimm, Michael and Luck, Nathalie and Steinh{\"u}bel, Franziska}, title = {Consumers' willingness to pay for organic rice: Insights from a non-hypothetical experiment in Indonesia}, series = {Australian Journal of Agricultural and Resource Economics}, volume = {67}, journal = {Australian Journal of Agricultural and Resource Economics}, number = {1}, publisher = {Wiley}, address = {Hoboken}, doi = {10.1111/1467-8489.12501}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-12412}, pages = {83 -- 103}, year = {2022}, abstract = {As in many high-income countries, there is increasing awareness towards organic farming in many low- and middle-income countries. Sustained local demand is an essential requirement for further adoption of organic farming by smallholders, who typically have only limited access to export markets. Until now, only few studies have explored the local willingness to pay (WTP) for organic products in low- and middle-income countries in real purchase situations. This paper analyses the consumers' WTP for organic rice in urban and suburban Indonesia using an incentive-compatible auction based on the Becker-DeGroot-Marschak (BDM) approach. We further study the effect of income and a randomised information treatment about the benefits of organic food on respondents' WTP. Estimates suggest that respondents are willing to pay an average price premium of 20\% compared with what they paid for conventional rice outside our experiment. However, our results also indicate that raising consumers' WTP further is complex. Showing participants a video about health or, alternatively, environmental benefits of organic food was not effective in further raising WTP. The results can be used as a basis for the design of alternative awareness measures to increase knowledge, interest and demand for organic food.}, language = {en} } @article{Fritz2022, author = {Fritz, Manuela}, title = {Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany}, series = {Journal of Spatial Econometrics}, volume = {2022}, journal = {Journal of Spatial Econometrics}, number = {3}, publisher = {Springer Nature}, address = {Berlin}, doi = {10.1007/s43071-022-00027-6}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2022112821095396799160}, pages = {30 Seiten}, year = {2022}, abstract = {The Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable populations. One quantitative indicator of policy effectiveness and pandemic severity is the case fatality ratio, which relies on the lagged number of infections relative to current deaths. The appropriate length of the time lag to be used, however, is heavily debated. In this article, I contribute to this debate by determining the temporal lag between the number of infections and deaths using daily panel data from Germany's 16 federal states. To account for the dynamic spatial spread of the virus, I rely on different spatial econometric models that allow not only to consider the infections in a given state but also spill over effects through infections in neighboring federal states. My results suggest that a wave of infections within a given state is followed by increasing death rates 12 days later. Yet, if the number of infections in other states rises, the number of death cases within that given state subsequently decreases. The results of this article contribute to the better understanding of the dynamic spatio-temporal spread of the virus in Germany, which is indispensable for the design of effective policy responses.}, language = {en} } @article{OttoGoldenLorenzetal.2024, author = {Otto, Alena and Golden, Bruce and Lorenz, Catherine and Luo, Yuchen and Pesch, Erwin and Rocha, Luis}, title = {On delivery policies for a truck-and-drone tandem in disaster relief}, series = {IISE Transactions (Online ISSN: 2472-5862)}, volume = {57}, journal = {IISE Transactions (Online ISSN: 2472-5862)}, number = {10}, publisher = {Taylor \& Francis}, address = {London}, doi = {10.1080/24725854.2024.2410353}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18555}, pages = {1198 -- 1214}, year = {2024}, abstract = {This article introduces the traveling salesman problem with a truck and a drone under incomplete information (TSP-DI). TSP-DI is motivated by the deliveries of emergency supplies under unknown road conditions in the immediate aftermath of a disastrous event. The urgency may force the immediate dispatch of relief vehicles, such that road damages blocking the truck's planned route are detected "on-the-fly". The relief transport must schedule deliveries anticipating possible unplanned truck detours, enforce (planned) drone detours for early checking of key road segments, and consider the dynamic nature of road condition information. In this investigation, we perform a competitive analysis of a widely used delivery policy for TSP-DI in practice - the online re-optimization policy (Reopt) - and compare it with several alternative delivery strategies. Competitive analysis examines the worst-case performance of the strategies and is particularly important in the context of disaster relief, where worst-case outcomes must be avoided. Our analysis shows that Reopt is dominated by alternative delivery policies in terms of the competitive ratio even at a medium level of damage on the road. It also underscores the importance of surveillance detours performed by the drone, even if the surveillance delays the start of the deliveries.}, language = {en} } @article{VenusBealeVillalba2024, author = {Venus, Terese E. and Beale, Caroline and Villalba, Roberto}, title = {Innovation and networks in the bioeconomy : a case study from the German Coffee Value Chain}, series = {Circular Economy and Sustainability}, volume = {4}, journal = {Circular Economy and Sustainability}, number = {3}, publisher = {Springer International Publishing}, address = {Cham}, issn = {2730-597X}, doi = {10.1007/s43615-024-00357-7}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2405070852079.655263471225}, pages = {1751 -- 1772}, year = {2024}, abstract = {The transition to a circular bioeconomy requires innovation across many sectors, but social dynamics within a sector's network may affect innovation potential. We investigate how network dynamics relate to the perceptions and adoption of bioeconomy innovation using a case study from the food processing sector. Our case study of the German coffee value chain represents a technologically advanced sector with a strong sustainability focus and potential for residue valorization, which is an important dimension of a sustainable circular bioeconomy. We identify three distinct views (pioneers, traditional and limited users) related to residue valorization, map linkages between actors using social network analysis, and highlight barriers to innovation. We collected data through an online survey and semi-structured interviews with key actors in the coffee roasting sector. Within the social network analysis, we find that public waste managers are closely linked to the most influential actors, state actors such as the customs and tax offices can quickly interact with others in the network and promote the spread of information (highest closeness centrality) and specific roasters play an important role as intermediaries for efficient communication (highest betweenness centrality). Finally, we identify four main barriers including the structure of the coffee network, inconsistencies in federal waste regulations, economies of scale, and visions of sustainability. To support a sustainable bioeconomy, we recommend that policy makers revise the primary regulatory frameworks for waste (e.g., German Recycling Act) to clarify how to classify food residues, their disposal structures and broaden their use streams.}, language = {en} } @article{GoerigkKhosravi2024, author = {Goerigk, Marc and Khosravi, Mohammad}, title = {Benchmarking problems for robust discrete optimization}, series = {Computers \& Operations Research (Online ISSN: 1873-765X)}, volume = {2024}, journal = {Computers \& Operations Research (Online ISSN: 1873-765X)}, number = {166}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.cor.2024.106608}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18752}, pages = {16 Seiten}, year = {2024}, abstract = {Robust discrete optimization is a highly active field of research where a plenitude of combinations between decision criteria, uncertainty sets and underlying nominal problems are considered. Usually, a robust problem becomes harder to solve than its nominal counterpart, even if it remains in the same complexity class. For this reason, specialized solution algorithms have been developed. To further drive the development of stronger solution algorithms and to facilitate the comparison between methods, a set of benchmark instances is necessary but so far missing. In this paper we propose a further step towards this goal by proposing several instance generation procedures for combinations of min-max, min-max regret, two-stage and recoverable robustness with interval, discrete, budgeted or ellipsoidal uncertainty sets. Besides sampling methods that go beyond the simple uniform sampling method that is the de-facto standard to produce instances, also optimization models to construct hard instances are considered. Using a selection problem for the nominal ground problem, we are able to generate instances that are several orders of magnitudes harder to solve than uniformly sampled instances when solving them with a general mixed-integer programming solver. All instances and generator codes are made available online.}, language = {en} } @article{NagelHeidenreichSchumann2024, author = {Nagel, Christian and Heidenreich, Sven and Schumann, Jan}, title = {Enhancing adoption of sustainable product innovations : addressing reduced performance with risk-reducing product modifications}, series = {Journal of Business Research (Online ISSN: 1873-7978)}, volume = {2024}, journal = {Journal of Business Research (Online ISSN: 1873-7978)}, number = {179}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.jbusres.2024.114684}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18788}, pages = {12 Seiten}, year = {2024}, abstract = {Past studies have shown that the probability of the successful diffusion of sustainable product innovations is strikingly low. A potentially promising marketing strategy to reduce negative consumer perceptions of sustainable product innovations is risk-reducing product modifications (RPMs), which account for behavioral adjustments and performance uncertainties by employing an additional component that uses established technology. This research strives to empirically test the potential positive effects of RPMs using two studies on electric vehicles with and without range extenders as prime examples of RPM: (1) an online survey of potential adopters and (2) a postadoption survey of early adopters. The results show that RPMs increase the adoption of sustainable product innovations. Consumers' tendency to overestimate their true needs and their need for insurance against insufficient performance explain the effectiveness of RPM.}, language = {en} } @article{OttoTilk2024, author = {Otto, Alena and Tilk, Christian}, title = {Intelligent design of sensor networks for data-driven sensor maintenance at railways}, series = {Omega (Online ISSN: 1873-5274)}, volume = {2024}, journal = {Omega (Online ISSN: 1873-5274)}, number = {127}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.omega.2024.103094}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18771}, pages = {13 Seiten}, year = {2024}, abstract = {With rapid advances in digitization, many critical processes in transportation, industries, and our daily life rely on sensor measurements. With time, however, the measurements may get gradually biased and their precision deteriorates, leading to an enhanced risk of major disruptions caused by false sensor measurements. All single sensor measurements are uncertain and deviate from the true value. To detect malfunctioning sensors early on, a set of recent measurements of each sensor has to be constantly cross-checked against the measurements of a given number of other sensors, i.e., sensors should form a diagnosable network. In this article, we examine the intelligent positioning of safety-relevant sensors at railways such that the installed sensors can constantly cross-check each other and the number of the required sensors is minimized. The arising sensor positioning problem (SPP) belongs to the family of the coordinated set covering problems with two binary matrices: the choice of columns in one matrix implies the selection of specific columns and rows in the other matrix. We formulate an integer program, provide some formal analysis of the SPP and design a customized large neighborhood search metaheuristic RuM, which finds close-to-optimality solutions fast. In our computational experiments, we show that if we ignore the diagnosability requirement, the installed sensors cannot sufficiently cross-check each other in most cases. However, it costs only a few (or even no) additional sensors to ensure the diagnosability of the sensor network.}, language = {en} } @article{GrimmSoubeigaWeber2024, author = {Grimm, Michael and Soubeiga, Sidiki and Weber, Michael}, title = {Supporting small firms in a fragile context : comparing matching and cash grants in Burkina Faso}, series = {Journal of Development Economics (Online ISSN: 1872-6089)}, volume = {2024}, journal = {Journal of Development Economics (Online ISSN: 1872-6089)}, number = {171}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.jdeveco.2024.103344}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18848}, pages = {17 Seiten}, year = {2024}, abstract = {We used a randomized controlled trial to compare matching grants earmarked for technical training and consulting services with more flexible cash grants and with a control group. The experiment was implemented in a semi-urban and rural fragile setting where subsidizing innovative activities might be particularly important. Firms were selected on the basis of a business plan competition. After two years, beneficiaries of cash grants showed higher survival rates, improved business practices, a higher degree of formalization, and more activities for innovation relative to recipients of matching grants and the control group, but we saw no effects on profits, sales, and employment. Across all outcomes, beneficiaries of cash grants performed better than beneficiaries of matching grants, for them the treatment effects are smaller and often insignificant, though implementation costs were higher. Recipients of cash grants also increased their capital stock more and were more resilient to the COVID-19 crisis.}, language = {en} } @article{FritschHauptSchnurbus2024, author = {Fritsch, Markus and Haupt, Harry and Schnurbus, Joachim}, title = {Efficiency of poll-based multi-period forecasting systems for German state elections}, series = {International Journal of Forecasting (Online ISSN: 1872-8200)}, volume = {41 (2025)}, journal = {International Journal of Forecasting (Online ISSN: 1872-8200)}, number = {2}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.ijforecast.2024.04.008}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18793}, pages = {670 -- 688}, year = {2024}, abstract = {Election polls are frequently employed to reflect voter sentiment with respect to a particular election (or fixed-event). Despite their widespread use as forecasts and inputs for predictive algorithms, there is substantial uncertainty regarding their efficiency. This uncertainty is amplified by judgment in the form of pollsters applying unpublished weighting schemes to ensure the representativeness of the sampled voters for the underlying population. Efficient forecasting systems incorporate past information instantly, which renders a given fixed-event unpredictable based on past information. This results in all sequential adjustments of the fixed-event forecasts across adjacent time periods (or forecast revisions) being martingale differences. This paper illustrates the theoretical conditions related to weak efficiency of fixed-event forecasting systems based on traditional least squares loss and asymmetrically weighted least absolute deviations (or quantile) loss. Weak efficiency of poll-based multi-period forecasting systems for all German federal state elections since the year 2000 is investigated. The inefficiency of almost all considered forecasting systems is documented and alternative explanations for the findings are discussed.}, language = {en} } @article{KleinePeschkeWagner2024, author = {Kleine, Jens and Peschke, Thomas and Wagner, Niklas}, title = {Beyond financial wealth: The experienced utility of collectibles}, series = {The Quarterly Review of Economics and Finance (Online ISSN: 1878-4259)}, volume = {2024}, journal = {The Quarterly Review of Economics and Finance (Online ISSN: 1878-4259)}, number = {97}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.qref.2024.101865}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18808}, pages = {11 Seiten}, year = {2024}, abstract = {We argue that the utility of specific assets, in our case collectibles, is not only derived from the financial outcome, but also from the conditions that prevail until a financial outcome may be realized. Therefore, we derive a multi-attribute utility function that measures financial returns — using a mean-variance utility function — on the one hand, and non-financial returns — using an experienced utility function — on the other. We then reveal the trade-off between financial and non-financial utility by analyzing 363 owners of collectibles. We divide the owners into the group of collectors and the group of investors, based on their self-reported motivation. Our results suggest that collectors receive almost no utility from financial returns, but rather from experience. The opposite is the case for investors. Our findings help to explain the reported financial underperformance of collectibles and suggest to adjust existing models of utility.}, language = {en} } @article{GruenerPostelSchumann2024, author = {Gr{\"u}ner, Alina and Postel, Lea and Schumann, Jan}, title = {Sharing is caring? The effect of negative peer-to-peer experiences on loyalty intentions in the sharing economy}, series = {Journal of Business Research (Online ISSN: 1873-7978)}, volume = {2024}, journal = {Journal of Business Research (Online ISSN: 1873-7978)}, number = {181}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.jbusres.2024.114757}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18820}, pages = {14 Seiten}, year = {2024}, abstract = {Negative experiences with other users (i.e., negative peer-to-peer [P2P] experiences), are a highly prevalent problem of sharing economy business models with potentially negative consequences for the platform. This paper investigates the effect of negative P2P experiences on users' platform loyalty intentions. Based on trust transfer theory, we test a moderated serial mediation suggesting that negative P2P experiences negatively affect platform loyalty intentions via a decrease in peer trust and a subsequent decrease in platform trust. The results of an online scenario-experiment (n = 265) and an online survey (n = 237) in the home-sharing context support this notion by showing a negative peers-to-platform trust transfer effect. In addition, we identified the type of negative experience (outcome-related vs. process-related) and prior relationship satisfaction as contingency factors. This paper draws platform providers' attention to the potential threat stemming from negative experiences between users and provide advice on how to attenuate a negative spillover-effect on the platform.}, language = {en} } @article{BauerHauptLinner2024, author = {Bauer, Ida and Haupt, Harry and Linner, Stefan}, title = {Pinball boosting of regression quantiles}, series = {Computational Statistics \& Data Analysis (Online ISSN: 1872-7352)}, volume = {2024}, journal = {Computational Statistics \& Data Analysis (Online ISSN: 1872-7352)}, number = {200}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.csda.2024.108027}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18850}, pages = {12 Seiten}, year = {2024}, abstract = {An algorithm for boosting regression quantiles using asymmetric least absolute deviations, better known as pinball loss, is proposed. Existing approaches for boosting regression quantiles are essentially equal to least squares boosting of regression means with the single difference that their working residuals are based on pinball loss. All steps of our boosting algorithm are embedded in the well-established framework of quantile regression, and its main components - sequential base learning, fitting, and updating - are based on consistent scoring rules for regression quantiles. The Monte Carlo simulations performed indicate that the pinball boosting algorithm is competitive with existing approaches for boosting regression quantiles in terms of estimation accuracy and variable selection, and that its application to the study of regression quantiles of hedonic price functions allows the estimation of previously infeasible high-dimensional specifications.}, language = {en} } @article{FritschPuaSchnurbus2024, author = {Fritsch, Markus and Pua, Andrew Adrian and Schnurbus, Joachim}, title = {Teaching advanced topics in econometrics using introductory textbooks : the case of dynamic panel data methods}, series = {International Review of Economics Education (Online ISSN: 2352-4421)}, volume = {2024}, journal = {International Review of Economics Education (Online ISSN: 2352-4421)}, number = {47}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.iree.2024.100297}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18835}, pages = {19 Seiten}, year = {2024}, abstract = {We show how to use the introductory econometrics textbook by Stock and Watson (2019) as a starting point for teaching and studying dynamic panel data methods. The materials are intended for undergraduate students taking their second econometrics course, undergraduate students in seminar-type courses, independent study courses, capstone, or thesis projects, and beginning graduate students in a research methods course. First, we distill the methodological core necessary to understand dynamic panel data methods. Second, we design an empirical and a theoretical case study to highlight the capabilities, downsides, and hazards of the method. The empirical case study is based on the cigarette demand example in Stock and Watson (2019) and illustrates that economic and methodological issues are interrelated. The theoretical case study shows how to evaluate current empirical practices from a theoretical standpoint. We designed both case studies to boost students' confidence in working with technical material and to provide instructors with more opportunities to let students develop econometric thinking and to actively communicate with applied economists. Although we focus on Stock and Watson (2019) and the statistical software R, we also show how to modify the material for use with another introductory textbook by Wooldridge (2020) and Stata, and highlight some possible further pathways for instructors and students to reuse and extend our materials.}, language = {en} } @article{HerkenhoffKrautheimSaure2024, author = {Herkenhoff, Philipp and Krautheim, Sebastian and Saur{\´e}, Philip}, title = {A simple model of buyer-seller networks in international trade}, series = {European Economic Review (Online ISSN: 1873-572X)}, volume = {2024}, journal = {European Economic Review (Online ISSN: 1873-572X)}, number = {170}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.euroecorev.2024.104868}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18949}, pages = {29 Seiten}, year = {2024}, abstract = {The recent literature on firm-to-firm trade has documented salient empirical regularities of the buyer-seller network. We show that surprisingly many of these regularities emerge by superimposing the stochastic balls-and-bins structure of Armenter and Koren (2014) to firms in a classical Krugman (1980) model. Our approach amounts to a re-interpretation of Krugman (1980) and relies on randomized bundling of Krugman-varieties into heterogeneous firms, economically neutral 'sales units' that import foreign varieties but belong to local firms, and a statistical reporting threshold that applies to firm-to-firm transactions. We argue that our model provides an important benchmark for the assessment of theoretical models that aim to identify the determinants of firm-to-firm networks.}, language = {en} } @article{GeschwindGrafLambsdorff2024, author = {Geschwind, Stephan and Graf Lambsdorff, Johann}, title = {Does scarcity induce hostility? An experimental investigation of common-pool resources}, series = {Ecological Economics (Online ISSN: 1873-6106)}, volume = {2025}, journal = {Ecological Economics (Online ISSN: 1873-6106)}, number = {227}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.ecolecon.2024.108388}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18958}, pages = {17 Seiten}, year = {2024}, abstract = {Climate change is leading to an increased scarcity of resources such as freshwater, energy, arable land and wildlife. This is perceived as a major security threat. However, the literature remains unclear on whether scarcity mitigates or exacerbates conflict. We design a novel laboratory experiment to investigate hostile behavior under scarcity. Participants interact repeatedly in a dynamic common-pool resource (CPR) and a joy-of-destruction game. The experiment distinguishes between two types of scarcity: Endogenous scarcity in the form of a deliberate human choice to overexploit resources and exogenous scarcity in the form of adverse environmental conditions. Our results show that endogenous scarcity exacerbates hostility. We trace this to participants being guided by negative reciprocity while finding no support for inequality aversion. The results indicate that to avoid hostility, policy makers will have to reduce human-induced scarcity. However, our results also show that exogenous scarcity mitigates hostility. This is in line with a vast body of literature from psychology, anthropology and biology finding increased levels of cooperation for all forms of life under environmental distress. It suggests that managing perceptions around increasing scarcities could be a second potential avenue for policy action.}, language = {en} } @article{BiglerJanzen2024, author = {Bigler, Patrick and Janzen, Benedikt}, title = {Too hot to sleep}, series = {Journal of Environmental Economics and Management (Online ISSN: 1096-0449)}, volume = {2024}, journal = {Journal of Environmental Economics and Management (Online ISSN: 1096-0449)}, number = {128}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.jeem.2024.103063}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18966}, pages = {17 Seiten}, year = {2024}, language = {en} } @article{KinatederGurribChoudhury2024, author = {Kinateder, Harald and Gurrib, Ikhlaas and Choudhury, Tonmoy}, title = {Navigating crises: Gold's role as a safe haven for U.S. sectors}, series = {Finance Research Letters (Online ISSN: 1544-6131)}, volume = {2024}, journal = {Finance Research Letters (Online ISSN: 1544-6131)}, number = {69 B}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.frl.2024.106210}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-18974}, pages = {6 Seiten}, year = {2024}, abstract = {This paper investigates the correlation between U.S. sectors and gold, and whether gold can serve as a safe haven for investors in specific U.S. sectors during the global financial crisis, COVID-19, and the Russia-Ukraine war. We use data from the Standard \& Poor's Depository Receipts (SPDR) Select Sector Exchange Traded Fund (ETF) to capture the performance of the respective sectors. Our findings document that gold is a weak safe haven for most U.S. sectors. Gold is not a safe investment for energy, materials, utilities, and consumer staples. Gold does provide vital protection for financial, consumer discretionary, industrial, technology, and healthcare.}, language = {en} } @article{DaschnerObermaier2022, author = {Daschner, Stefan and Obermaier, Robert}, title = {Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice}, series = {Journal of Decision Systems}, volume = {31 (2022)}, journal = {Journal of Decision Systems}, number = {S1}, publisher = {Taylor \& Francis}, address = {London}, doi = {10.1080/12460125.2022.2070951}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-19120}, pages = {77 -- 97}, year = {2022}, abstract = {There is empirical evidence that decision makers show negative behaviours towards algorithmic advice compared to human advice, termed as algorithm aversion. Taking a trust theoretical perspective, this study broadens the quite monolithic view on behaviour to its cognitive antecedent: cognitive trust, i.e. trusting beliefs and trusting intentions. We examine initial trust (cognitive trust and behaviour) as well as its development after performance feedback by conducting an online experiment that asked participants to forecast the expected demand for a product. Advice accuracy was manipulated by ± 5 \% relative to the participant's initial forecasting accuracy determined in a pre-test. Results show that initial behaviour towards algorithmic advice is not influenced by cognitive trust. Furthermore, the decision maker's initial forecasting accuracy indicates a threshold between near-perfect and bad advice. When advice accuracy is at this threshold, we observe behavioural algorithm appreciation, particularly due to higher trusting integrity beliefs in algorithmic advice.}, language = {en} } @article{StoffelsFaltermaierStrunketal.2024, author = {Stoffels, Dominik and Faltermaier, Stefan and Strunk, Kim Simon and Fiedler, Marina}, title = {Guiding computationally intensive theory development with explainable artificial intelligence: The case of shapley additive explanations}, series = {Journal of Information Technology (ISSN: 1466-4437)}, volume = {40}, journal = {Journal of Information Technology (ISSN: 1466-4437)}, number = {2}, publisher = {SAGE Publications}, address = {London, England}, issn = {0268-3962}, doi = {10.1177/02683962241289597}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-16762}, pages = {180 -- 213}, year = {2024}, abstract = {This study advances the field of Computationally Intensive Theory Development (CTD) by examining the capabilities of Explainable Artificial Intelligence (XAI), in particular SHapley Additive exPlanations (SHAP), for theory development, while providing guidelines for this process. We evaluate SHAP's methodological abilities and develop a structured approach for using SHAP to harness insights from black-box predictive models. For this purpose, we leverage a dual-methodological approach. First, to assess SHAP's capabilities in uncovering patterns that shape a phenomenon, we conduct a Monte-Carlo simulation study. Second, to illustrate and guide the theory development process with SHAP for CTD, we apply SHAP in a use-case using real-world data. Based on these analyses, we propose a stepwise uniform and replicable approach giving guidance that can benefit rigorous theory development and increase the traceability of the theorizing process. With our structured approach, we contribute to the use of XAI approaches in research and, by uncovering patterns in black-box prediction models, add to the ongoing search for next-generation theorizing methods in the field of Information Systems (IS).}, subject = {-}, language = {en} } @article{DrescherJanzen2024, author = {Drescher, Katharina and Janzen, Benedikt}, title = {When weather wounds workers : the impact of temperature on workplace accidents}, series = {Journal of Public Economics}, volume = {2025}, journal = {Journal of Public Economics}, number = {241}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.jpubeco.2024.105258}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-19241}, pages = {17 Seiten}, year = {2024}, abstract = {We study the effects of temperature on occupational health using administrative data on Swiss occupational accidents from 1996 to 2019. Our results imply that on hot days (T𝑚𝑎𝑥 ≥ 30 ◦C) the number of occupational accidents increases by 7.4\% and on ice days (T𝑚𝑎𝑥 < 0 ◦C) by 6.3\%, relative to mild days. We find that extreme temperatures cause an average of 2600 workplace accidents each year, costing CHF 91 million annually. We provide suggestive evidence for insufficient sleep on hot days as a mechanism. While extreme temperatures worsen occupational health, we observe limited labor supply adaption for most workers.}, language = {en} } @article{GoerigkKurtz2024, author = {Goerigk, Marc and Kurtz, Jannis}, title = {Data-driven prediction of relevant scenarios for robust combinatorial optimization}, series = {Computers \& Operations Research}, volume = {2025}, journal = {Computers \& Operations Research}, number = {174}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-765X}, doi = {10.1016/j.cor.2024.106886}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-19207}, pages = {14 Seiten}, year = {2024}, abstract = {We study iterative constraint and variable generation methods for (two-stage) robust combinatorial optimization problems with discrete uncertainty. The goal of this work is to find a set of starting scenarios that provides strong lower bounds early in the process. To this end we define the Relevant Scenario Recognition Problem (RSRP) which finds the optimal choice of scenarios which maximizes the corresponding objective value. We show for classical and two-stage robust optimization that this problem can be solved in polynomial time if the number of selected scenarios is constant and NP-hard if it is part of the input. Furthermore, we derive a linear mixed-integer programming formulation for the problem in both cases. Since solving the RSRP is not possible in reasonable time, we propose a machine-learning-based heuristic to determine a good set of starting scenarios. To this end, we design a set of dimension-independent features, and train a Random Forest Classifier on already solved small-dimensional instances of the problem. Our experiments show that our method is able to improve the solution process even for larger instances than contained in the training set, and that predicting even a small number of good starting scenarios can considerably reduce the optimality gap. Additionally, our method provides a feature importance score which can give new insights into the role of scenario properties in robust optimization.}, language = {en} } @article{BouriSokhanvarKinatederetal.2024, author = {Bouri, Elie and Sokhanvar, Amin and Kinateder, Harald and {\c{C}}ift{\c{c}}ioğlu, Serhan}, title = {Tech titans and crypto giants : mutual returns predictability and trading strategy implications}, series = {Journal of International Financial Markets, Institutions and Money}, volume = {2025}, journal = {Journal of International Financial Markets, Institutions and Money}, number = {99}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-0612}, doi = {10.1016/j.intfin.2024.102109}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-19259}, pages = {30 Seiten}, year = {2024}, abstract = {This study examines the directional return predictability between the technology sector of U.S. stock market and three major cryptocurrencies (Bitcoin, Ethereum, and Dogecoin). Using daily data from August 7, 2015, to February 8, 2024, and the cross-quantilogram approach in both static and dynamic settings, the results reveal significant positive predictability in the stock market-cryptocurrency nexus. The technology sector, semiconductors subsector, and Nvidia Corporation exert predictive power over cryptocurrency returns and vice versa across several quantiles and lags. When controlling for the impact of other financial variables, namely, U.S. dollar and U.S. treasury markets, the return predictability holds, especially for the two largest cryptocurrencies, Bitcoin and Ethereum, which reflects their importance and tighter connections with the U.S. technology sector. A trading strategy based on the results of the cross-quantilograms outperforms a benchmark strategy (i.e., always long position in either stocks or cryptocurrency), which underlines the practical implications of our main findings, particularly in terms of the significant return interactions between U.S. technology/semiconductors stocks and large cryptocurrencies.}, language = {en} }