@inbook{37704, author = {{Ksouri-Gerwien, Christoph and Vorbohle, Christian}}, booktitle = {{Digitale Plattformen und Ökosysteme im B2B-Bereich}}, editor = {{Schallmo, D.R.A. and Kundisch, Dennis and Lang, K.}}, publisher = {{Springer Gabler}}, title = {{{Anwendung von System Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem}}}, year = {{2024}}, } @article{53213, author = {{Amiri, Arman and Tavana, Madjid and Arman, Hosein}}, issn = {{2542-6605}}, journal = {{Internet of Things}}, keywords = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}}, publisher = {{Elsevier BV}}, title = {{{An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}}}, doi = {{10.1016/j.iot.2023.101027}}, volume = {{25}}, year = {{2024}}, } @article{53212, author = {{Mahmoodi, Ehsan and Fathi, Masood and Tavana, Madjid and Ghobakhloo, Morteza and Ng, Amos H.C.}}, issn = {{0278-6125}}, journal = {{Journal of Manufacturing Systems}}, keywords = {{Industrial and Manufacturing Engineering, Hardware and Architecture, Software, Control and Systems Engineering}}, pages = {{287--307}}, publisher = {{Elsevier BV}}, title = {{{Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing}}}, doi = {{10.1016/j.jmsy.2023.11.019}}, volume = {{72}}, year = {{2024}}, } @article{53205, author = {{Tavana, Madjid and Sorooshian, Shahryar}}, issn = {{1568-4946}}, journal = {{Applied Soft Computing}}, keywords = {{Software}}, publisher = {{Elsevier BV}}, title = {{{A systematic review of the soft computing methods shaping the future of the metaverse}}}, doi = {{10.1016/j.asoc.2023.111098}}, volume = {{150}}, year = {{2024}}, } @inbook{53522, author = {{Wortmann, Fabio and Kämmerling, Sina and Hemmrich, Simon and Gradert, Till and Ellermann, Kai}}, booktitle = {{Digitale Plattformen im industriellen Mittelstand. Strategien, Methoden, Umsetzungsbeispiele}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Einführung}}}, year = {{2024}}, } @inbook{53524, author = {{Hemmrich, Simon and Wortmann, Fabio and Lüttenberg, Hedda and Gradert, Till and Kämmerling, Sina and Meyer, Maurice}}, booktitle = {{Digitale Plattformen im industriellen Mittelstand. Strategien, Methoden, Umsetzungsbeispiele}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Grundlagen}}}, year = {{2024}}, } @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}}, }