@article{45444, abstract = {{An admission pricing policy should allow a museum to facilitate access to cultural education and heritage while contributing to its economical sustainability. Despite the importance of this matter to museums, design-relevant knowledge on the configuration of the admission pricing policy in museums remains limited, resulting in museum decision-makers lack the necessary understanding of how to customize their admission pricing policy, and researchers the foundation for advancing knowledge on the topic. To address these issues, we draw on a well-established development method to build a taxonomy, which involved synthesising the literature on the admission pricing policy of museums, analysing the characteristics of the admission pricing policy of 149 museums, and creating a cluster analysis for 117 museums located in the same region. The analysis yielded three distinct clusters (namely, free admission pricing policy, simple admission pricing policy, comprehensive admission pricing policy). Our work supports practitioners by showing them different options for structuring an admission pricing policy, while providing researchers with a foundation for further investigating museums’ admission pricing policies.}}, author = {{Althaus, Maike and Müller, Stefanie Jutta Marianne and Kundisch, Dennis}}, journal = {{International Journal of Cultural Policy}}, number = {{3}}, pages = {{392--407}}, title = {{{What Price Culture? – A Taxonomy of the Admission Pricing Policy at Museums}}}, doi = {{10.1080/10286632.2023.2217198}}, volume = {{30}}, year = {{2024}}, } @inproceedings{53569, author = {{Nickerson, Robert C. and Varshney, Upkar and Muntermann, Jan and Kundisch, Dennis}}, booktitle = {{Proceedings of Thirtieth Americas Conference on Information Systems (AMCIS)}}, location = {{Salt Lake City, USA}}, title = {{{Hierarchical Taxonomies in Information Systems}}}, year = {{2024}}, } @article{53611, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{0095-0696}}, journal = {{Journal of Environmental Economics and Management}}, keywords = {{Management, Monitoring, Policy and Law, Economics and Econometrics}}, publisher = {{Elsevier BV}}, title = {{{Can leaders motivate employees’ energy-efficient behavior with thoughtful communication?}}}, doi = {{10.1016/j.jeem.2024.102990}}, year = {{2024}}, } @article{50747, author = {{Greil, Stefan and Kaluza-Thiesen, Eleonore and Schulz, Kim Alina and Sureth-Sloane, Caren}}, journal = {{Deutsches Steuerrecht}}, number = {{17}}, pages = {{914--921}}, title = {{{Komplexität von Verrechnungspreisen und Tax Compliance: Einblicke in deutsche Unternehmen}}}, volume = {{62}}, year = {{2024}}, } @article{34114, abstract = {{Qualitative comparative analysis (QCA) enables researchers in international management to better understand how the impact of a single explanatory factor depends on the context of other factors. But the analytical toolbox of QCA does not include a parameter for the explanatory power of a single explanatory factor or “condition”. In this paper, we therefore reinterpret the Banzhaf power index, originally developed in cooperative game theory, to establish a goodness-of-fit parameter in QCA. The relative Banzhaf index we suggest measures the explanatory power of one condition averaged across all sufficient combinations of conditions. The paper argues that the index is especially informative in three situations that are all salient in international management and call for a context-sensitive analysis of single conditions, namely substantial limited diversity in the data, the emergence of strong INUS conditions in the analysis, and theorizing with contingency factors. The paper derives the properties of the relative Banzhaf index in QCA, demonstrates how the index can be computed easily from a rudimentary truth table, and explores its insights by revisiting selected papers in international management that apply fuzzy-set QCA. It finally suggests a three-step procedure for utilizing the relative Banzhaf index when the causal structure involves both contingency effects and configurational causation. }}, author = {{Haake, Claus-Jochen and Schneider, Martin}}, journal = {{Journal of International Management}}, keywords = {{Qualitative comparative analysis, Banzhaf power index, causality, explanatory power}}, number = {{2}}, publisher = {{Elsevier}}, title = {{{Playing games with QCA: Measuring the explanatory power of single conditions with the Banzhaf index}}}, volume = {{30}}, year = {{2024}}, } @article{54188, author = {{Santos-Arteaga, F.J. and Di Caprio, D. and Tavana, Madjid and Cucchiari, D. and Campistol, J.M. and Oppenheimer, F. and Diekmann, F. and Revuelta, I.}}, journal = {{Engineering Applications of Artificial Intelligence}}, title = {{{On the Capacity of Artificial Intelligence Techniques and Statistical Methods to Deal with Low Quality Data in Medical Supply Chain Environments}}}, year = {{2024}}, } @article{54189, author = {{Tavana, Madjid and Bonyani, A. and Karimi, T.}}, journal = {{International Journal of Applied Management Science}}, title = {{{A Full Ranking Method in Data Envelopment Analysis with Multi-Criteria Decision Analysis}}}, year = {{2024}}, } @article{54187, author = {{Setak, M. and Tavana, Madjid and Talafi Daryani, H.}}, journal = {{OPSEARCH}}, title = {{{A Two-Level Supply Chain Coordination Model for Perishable Products under Optimal Markdown Time and Trade Credit Policies}}}, year = {{2024}}, } @article{54179, author = {{Tavana, Madjid and Sorooshian, S. and Sarvarizadehkouhpaye, M. and Mina, H.}}, journal = {{Annals of Operations Research}}, title = {{{A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs}}}, year = {{2024}}, } @article{54178, author = {{Dellnitz, A. and Tavana, Madjid}}, journal = {{European Journal of Operational Research}}, title = {{{Data Envelopment Analysis: From Non-Monotonic to Monotonic Scale Elasticities}}}, year = {{2024}}, } @article{34802, abstract = {{Purpose Academic research has intensively analyzed the relationship between market concentration or market power and banking stability but provides ambiguous results, which are summarized under the concentration-stability/fragility view. We provide empirical evidence that the mixed results are due to the difficulty of identifying reliable variables to measure concentration and market power. Design/methodology/approach Using data from 3,943 banks operating in the European Union (EU)-15 between 2013 and 2020, we employ linear regression models on panel data. Banking market concentration is measured by the Herfindahl–Hirschman Index (HHI), and market power is estimated by the product-specific Lerner Indices for the loan and deposit market, respectively. Findings Our analysis reveals a significantly stability-decreasing impact of market concentration (HHI) and a significantly stability-increasing effect of market power (Lerner Indices). In addition, we provide evidence for a weak (or even absent) empirical relationship between the (non)structural measures, challenging the validity of the structure-conduct-performance (SCP) paradigm. Our baseline findings remain robust, especially when controlling for a likely reverse causality. Originality/value Our results suggest that the HHI may reflect other factors beyond market power that influence banking stability. Thus, banking supervisors and competition authorities should investigate market concentration and market power simultaneously while considering their joint impact on banking stability.}}, author = {{Herwald, Sarah and Voigt, Simone and Uhde, André}}, journal = {{Journal of Risk Finance}}, keywords = {{market concentration, market power, banking stability, European banking}}, number = {{3}}, pages = {{510 -- 536}}, title = {{{The conditional impact of market consolidation and market power on banking stability – Evidence from Europe}}}, doi = {{https://doi.org/10.1108/JRF-03-2023-0075}}, volume = {{25}}, year = {{2024}}, } @inbook{54229, author = {{Bartlitz, David}}, booktitle = {{Münchener Handbuch des Gesellschaftsrechts}}, editor = {{Gummert, Hans and Schäfer, Carsten}}, publisher = {{C.H. Beck}}, title = {{{§ 78 (Kartellrechtliche Grenzen der stillen Gesellschaft)}}}, volume = {{2}}, year = {{2024}}, } @inbook{54228, author = {{Bartlitz, David}}, booktitle = {{Münchener Handbuch des Gesellschaftsrechts}}, editor = {{Gummert, Hans and Schäfer, Carsten}}, isbn = {{978-3-406-80562-2}}, publisher = {{C.H. Beck}}, title = {{{§ 6 (Kartellrechtliche Grenzen der Kommanditgesellschaft)}}}, volume = {{2}}, year = {{2024}}, } @inbook{54624, author = {{Papenkordt, Jörg}}, booktitle = {{Artificial Intelligence in HCI}}, isbn = {{9783031606052}}, issn = {{0302-9743}}, publisher = {{Springer Nature Switzerland}}, title = {{{Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI}}}, doi = {{10.1007/978-3-031-60606-9_14}}, year = {{2024}}, } @inproceedings{54584, author = {{Althaus, Maike and Müller, Michelle and Bartelheimer, Christian and Kundisch, Dennis}}, title = {{{“Paving the way for student-led publication: Development and implementation of a course in Information Systems with open educational resources}}}, year = {{2024}}, } @inproceedings{54590, author = {{Bartelheimer, Christian and Reineke, Malte}}, title = {{{Assessing the impact of organizational culture on workarounds: A maturity model}}}, year = {{2024}}, } @article{50719, abstract = {{We propose an indicator for detecting anomalous stock market valuation in real time such that market participants receive timely signals so as to be able to take stabilizing action. Unlike existing approaches, our anomaly indicator introduces three methodological novelties. First, we use an endogenous, purely data-driven, nonparametric trend identification method to separate long-term market movements from more short-term ones. Second, we apply SETAR models that allow for asymmetric expansions and contractions around the long-term trend and find systematic stock price cycles. Third, we implement these findings in our indicator and conduct real-time market forecasts, which have so far been neglected in the literature. Applications of our indicator using monthly S&P 500 stock data from 1970 to the end of 2022 show that short-term anomalous market movements can be identified in real time up to one year ahead. We predict all major anomalies, including the 1987 Bubble and the initial phase of the Financial Crisis that began in 2007. In total, our anomaly indicator identifies more than 80% of all – even minor – anomalous episodes. Thus, smoothing market exaggerations through early signaling seems possible.}}, author = {{Fritz, Marlon and Gries, Thomas and Wiechers, Lukas}}, issn = {{1469-7688}}, journal = {{Quantitative Finance}}, keywords = {{General Economics, Econometrics and Finance, Finance}}, pages = {{1--14}}, publisher = {{Informa UK Limited}}, title = {{{An early indicator for anomalous stock market performance}}}, doi = {{10.1080/14697688.2023.2281529}}, year = {{2024}}, } @article{54910, author = {{Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}}, issn = {{0888-613X}}, journal = {{International Journal of Approximate Reasoning}}, publisher = {{Elsevier BV}}, title = {{{Learning decision catalogues for situated decision making: The case of scoring systems}}}, doi = {{10.1016/j.ijar.2024.109190}}, volume = {{171}}, year = {{2024}}, } @article{54908, author = {{Heid, Stefan and Hanselle, Jonas and Fürnkranz, Johannes and Hüllermeier, Eyke}}, issn = {{0888-613X}}, journal = {{International Journal of Approximate Reasoning}}, publisher = {{Elsevier BV}}, title = {{{Learning decision catalogues for situated decision making: The case of scoring systems}}}, doi = {{10.1016/j.ijar.2024.109190}}, volume = {{171}}, year = {{2024}}, } @inproceedings{54916, abstract = {{Reputation systems for companies to rate each other's performance are largely unexplored in research and hardly available in practice. However, these systems are relevant for prospective buyers to find a trustworthy seller. This observation applies especially to short-lived business relationships where fulfilling the performance promise is subject to a high degree of uncertainty. This paper explores the value of a reputation system for a business-to-business (B2B) context and focuses on three novel solutions for designing reputation systems. These solutions include selling ratings, conducting ratings as payments, and employing a counter-rating mechanism. We interview buyers to fathom the added value of these solutions in different contexts. Our findings suggest that such a system is useful for companies acting in less transparent markets and also helps when companies already have a good market overview. Depending on the market conditions and business context, the perceived value of the proposed system varies.}}, author = {{Hemmrich, Simon and Schäfer, Jannika Marie and Hansmeier, Philipp and Beverungen, Daniel}}, booktitle = {{Proceedings of the 57th Hawaii International Conference on System Sciences}}, keywords = {{Electronic Marketing, business-to-business, new design approach, reputation systems, value for buyers.}}, location = {{Honolulu}}, title = {{{The Value of Reputation Systems in Business Contexts–A Qualitative Study Taking the View of Buyers}}}, year = {{2024}}, }