@inproceedings{52720, author = {{Jenert, Tobias and Büker, Ronja}}, location = {{Thessaloniki}}, title = {{{Jenert, T. & Büker, R. (2023). Designing Self-Regulation interventions for different target groups in Entrepreneurship Education }}}, year = {{2023}}, } @inproceedings{52866, author = {{Sloane, Hannah Sabrina and Schmöckel, Sabrina}}, location = {{Belfast}}, title = {{{Turning Disciplinary Differences from a Brake into a Motor in Higher Education (Collaboration)}}}, year = {{2023}}, } @inproceedings{52864, author = {{Sloane, Hannah Sabrina and Heidebrecht, Jana}}, location = {{TH Köln}}, title = {{{Entwurfsmuster: Fachsensible wissenschaftliche Begleitung}}}, year = {{2023}}, } @article{25041, author = {{Pelster, Matthias and Schaltegger, Stefan}}, journal = {{Business Ethics, the Environment & Responsibility}}, number = {{1}}, pages = {{80--99}}, title = {{{The dark triad and corporate sustainability: An empirical analysis of personality traits of middle managers}}}, doi = {{10.1111/beer.12398}}, volume = {{ 31}}, year = {{2022}}, } @inproceedings{24579, author = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}}, location = {{Maui, Hawaii, USA}}, title = {{{Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies}}}, year = {{2022}}, } @inproceedings{24581, author = {{Seutter, Janina and Müller, Michelle and Müller, Stefanie Jutta Marianne and Kundisch, Dennis}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}}, location = {{Maui, Hawaii, USA}}, title = {{{Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns}}}, year = {{2022}}, } @inproceedings{29146, author = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences}}, editor = {{Bui, Tung X.}}, isbn = {{978-0-9981331-5-7}}, location = {{Honolulu, HI}}, title = {{{Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid}}}, year = {{2022}}, } @inproceedings{29147, author = {{Herwix, Alexander and zur Heiden, Philipp}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences}}, editor = {{Bui, Tung X.}}, isbn = {{978-0-9981331-5-7}}, location = {{Honolulu, HI}}, title = {{{Context in Design Science Research: Taxonomy and Framework}}}, year = {{2022}}, } @inproceedings{29148, author = {{zur Heiden, Philipp and Beverungen, Daniel}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences}}, editor = {{Bui, Tung X.}}, isbn = {{978-0-9981331-5-7}}, location = {{Honolulu, HI}}, title = {{{A Renaissance of Context in Design Science Research}}}, year = {{2022}}, } @inproceedings{27280, author = {{Schoormann, T. and Möller, F. and Szopinski, Daniel}}, booktitle = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}}, location = {{Nürnberg, Germany}}, title = {{{Exploring purposes of using taxonomies}}}, year = {{2022}}, } @inproceedings{27506, abstract = {{Explainability for machine learning gets more and more important in high-stakes decisions like real estate appraisal. While traditional hedonic house pricing models are fed with hard information based on housing attributes, recently also soft information has been incorporated to increase the predictive performance. This soft information can be extracted from image data by complex models like Convolutional Neural Networks (CNNs). However, these are intransparent which excludes their use for high-stakes financial decisions. To overcome this limitation, we examine if a two-stage modeling approach can provide explainability. We combine visual interpretability by Regression Activation Maps (RAM) for the CNN and a linear regression for the overall prediction. Our experiments are based on 62.000 family homes in Philadelphia and the results indicate that the CNN learns aspects related to vegetation and quality aspects of the house from exterior images, improving the predictive accuracy of real estate appraisal by up to 5.4%.}}, author = {{Kucklick, Jan-Peter}}, booktitle = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}}, keywords = {{Explainable Artificial Intelligence (XAI), Regression Activation Maps, Real Estate Appraisal, Convolutional Block Attention Module, Computer Vision}}, location = {{Virtual}}, title = {{{Visual Interpretability of Image-based Real Estate Appraisal}}}, year = {{2022}}, } @inproceedings{27507, abstract = {{Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.}}, author = {{Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}}, booktitle = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}}, keywords = {{Real Estate Appraisal, Text Regression, Natural Language Processing (NLP), Location Intelligence, Wikipedia}}, location = {{Virtual}}, title = {{{Using Geolocated Text to Quantify Location in Real Estate Appraisal}}}, year = {{2022}}, } @phdthesis{30201, author = {{Fanasch, Patrizia}}, title = {{{Governance and Reputation in the Market for Experience Goods}}}, doi = {{10.17619/UNIPB/1-1292 }}, year = {{2022}}, } @article{30341, author = {{Hoyer, Britta and van Straaten, Dirk}}, issn = {{2214-8043}}, journal = {{Journal of Behavioral and Experimental Economics}}, keywords = {{General Social Sciences, Economics and Econometrics, Applied Psychology}}, pages = {{101869}}, publisher = {{Elsevier BV}}, title = {{{Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis}}}, doi = {{10.1016/j.socec.2022.101869}}, volume = {{98}}, year = {{2022}}, } @misc{30737, author = {{Schulz, Michael and Neuhaus, Uwe and Kaufmann, Jens and Kühnel, Stephan and Alekozai, Emal M. and Rohde, Heiko and Hoseini, Sayed and Theuerkauf, René and Badura, Daniel and Kerzel, Ulrich and Lanquillon, Carsten and Daurer, Stephan and Günther, Maik and Huber, Lukas and Thiée, Lukas-Walter and zur Heiden, Philipp and Passlick, Jens and Dieckmann, Jonas and Schwade, Florian and Seyffarth, Tobias and Badewitz, Wolfgang and Rissler, Raphael and Sackmann, Stefan and Gölzer, Philipp and Welter, Felix and Röth, Jochen and Seidelmann, Julian and Haneke, Uwe}}, publisher = {{NORDAKADEMIE gAG Hochschule der Wirtschaft}}, title = {{{DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte}}}, year = {{2022}}, } @article{32266, author = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}}, issn = {{1044-7318}}, journal = {{International Journal of Human–Computer Interaction}}, keywords = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}}, doi = {{10.1080/10447318.2022.2081283}}, year = {{2022}}, } @article{32267, author = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}}, issn = {{1044-7318}}, journal = {{International Journal of Human–Computer Interaction}}, keywords = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}}, doi = {{10.1080/10447318.2022.2081283}}, year = {{2022}}, } @inbook{32272, author = {{Akkerman, Agnes and Manevska, Katerina and Thommes, Kirsten and Sluiter, Roderick}}, booktitle = {{Employment Relations as Networks}}, isbn = {{9781003125730}}, publisher = {{Routledge}}, title = {{{Losing What You Never Had}}}, doi = {{10.4324/9781003125730-10}}, year = {{2022}}, } @article{17869, author = {{Poniatowski, Martin and Lüttenberg, Hedda and Beverungen, Daniel and Kundisch, Dennis}}, journal = {{Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies}}, pages = {{257 -- 283}}, title = {{{Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms}}}, volume = {{2}}, year = {{2022}}, } @inbook{32363, author = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}}, booktitle = {{Forum Dienstleistungsmanagement}}, editor = {{Bruhn, Manfred and Hadwich, Karsten}}, isbn = {{9783658373436}}, issn = {{2662-3382}}, pages = {{435--457}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes}}}, doi = {{10.1007/978-3-658-37344-3_14}}, year = {{2022}}, } @article{34044, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}}, publisher = {{Elsevier BV}}, title = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}}, doi = {{10.1016/j.jclepro.2022.135053}}, year = {{2022}}, } @article{34045, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}}, publisher = {{Elsevier BV}}, title = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}}, doi = {{10.1016/j.jclepro.2022.135053}}, year = {{2022}}, } @article{29049, abstract = {{This study investigates the conditions under which tax rate changes accelerate risky investments. While tax rate increases are often expected to harm investment, analytical studies find tax rate increases may foster investment under flexibility.We design a theorybased experimentwith a binomial random walk and entry–exit flexibility.We find accelerated investment upon tax rate increases irrespective of an exit option, but no corresponding response to tax cuts. This asymmetry may be due to tax salience and mechanisms from irreversible choice under uncertainty. Given this evidence of unexpected tax-reform effects, tax policymakers should carefully consider behavioral aspects.}}, author = {{Fahr, René and Janssen, Elmar A. and Sureth-Sloane, Caren}}, journal = {{FinanzArchiv / Public Finance Analysis}}, keywords = {{Economic ExperimentM, Investment Decisions, Tax Effects, Timing Flexibility, Uncertainty}}, number = {{1-2}}, pages = {{239--289}}, title = {{{Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment}}}, volume = {{78}}, year = {{2022}}, } @article{29048, abstract = {{We study the bargaining behavior between auditor and auditee in a tax setting and scrutinize the effect of interpersonal trust and trust in government on both parties’ concessions. We find evidence that both kinds of trust affect the concessionary behavior, albeit in different ways. While trust in government affects concessionary behavior in line with intuitive predictions, we find that interpersonal trust only affects tax auditors. For high interpersonal trust, the alleviating effect of high trust in government on tax auditors’ concessions is less pronounced. Our findings help tax authorities to shape programs to enhance compliance in an atmosphere of trust.}}, author = {{Eberhartinger, Eva and Speitmann, Raffael and Sureth-Sloane, Caren and Wu, Yuchen}}, journal = {{FinanzArchiv / Public Finance Analysis}}, keywords = {{Behavioral Taxation, Concessionary Behavior, Interpersonal Trust, Tax Audit, Trust in Government}}, number = {{1-2}}, pages = {{112--155}}, title = {{{How Does Trust Affect Concessionary Behavior in Tax Bargaining?}}}, volume = {{78}}, year = {{2022}}, } @article{33251, author = {{Robra-Bissantz, Susanne and Lattemann, Christoph and Laue, Ralf and Leonhard-Pfleger, Raphaela and Wagner, Luisa and Gerundt, Oliver and Schlimbach, Ricarda and Baumann, Sabine and Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy and Nissen, Volker and Lohrenz, Lisa and Michalke, Simon}}, journal = {{HMD Praxis der Wirtschaftsinformatik}}, number = {{5}}, pages = {{1227 -- 1257}}, title = {{{Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme}}}, volume = {{59}}, year = {{2022}}, } @inproceedings{33502, author = {{Althaus, Maike and Poniatowski, Martin and Kundisch, Dennis}}, booktitle = {{Proceedings of the 43rd International Conference on Information Systems (ICIS)}}, location = {{Copenhagen, Denmark}}, title = {{{Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic}}}, year = {{2022}}, } @inproceedings{33882, author = {{Laux, Florian and Poniatowski, Martin and Kundisch, Dennis}}, location = {{Copenhagen, Denmark}}, title = {{{May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms}}}, year = {{2022}}, } @inproceedings{33885, author = {{Seutter, Janina}}, location = {{Copenhagen, Denmark}}, title = {{{Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives }}}, year = {{2022}}, } @inproceedings{30916, author = {{Seutter, Janina}}, booktitle = {{Proceedings of the 30th European Conference on Information Systems (ECIS)}}, location = {{Timișoara, Romania}}, title = {{{Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations}}}, year = {{2022}}, } @inproceedings{31062, author = {{Poniatowski, Martin}}, booktitle = {{Proceedings of the 28th Americas Conference on Information Systems (AMCIS)}}, location = {{Minneapolis, USA}}, title = {{{How the Display of the Transaction Count Affects the Purchase Intention}}}, year = {{2022}}, } @inproceedings{30939, author = {{Vorbohle, Christian and Kundisch, Dennis}}, booktitle = {{Proceedings of the 30th European Conference on Information Systems (ECIS)}}, location = {{Timișoara, Romania}}, title = {{{Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems}}}, year = {{2022}}, } @inproceedings{30734, author = {{Althaus, Maike and Poniatowski, Martin and Kundisch, Dennis}}, location = {{Madrid, Spain}}, title = {{{Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic}}}, year = {{2022}}, } @inproceedings{30212, author = {{Vorbohle, Christian and Kundisch, Dennis}}, title = {{{Key Properties of Sustainable Business Ecosystem Relationships}}}, year = {{2022}}, } @inproceedings{28999, author = {{Grieger, Nicole and Seutter, Janina and Kundisch, Dennis}}, booktitle = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}}, location = {{Nürnberg, Germany}}, title = {{{Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic}}}, year = {{2022}}, } @techreport{32106, abstract = {{We study the consequences of modeling asymmetric bargaining power in two-person bargaining problems. Comparing application of an asymmetric version of a bargaining solution to an upfront modification of the disagreement point, the resulting distortion crucially depends on the bargaining solution concept. While for the Kalai-Smorodinsky solution weaker players benefit from modifying the disagreement point, the situation is reversed for the Nash bargaining solution. There, weaker players are better off in the asymmetric bargaining solution. When comparing application of the asymmetric versions of the Nash and the Kalai-Smorodinsky solutions, we demonstrate that there is an upper bound for the weight of a player, so that she is better off with the Nash bargaining solution. This threshold is ultimately determined by the relative utilitarian bargaining solution. From a mechanism design perspective, our results provide valuable information for a social planner, when implementing a bargaining solution for unequally powerful players.}}, author = {{Haake, Claus-Jochen and Streck, Thomas}}, keywords = {{Asymmetric bargaining power, Nash bargaining solution, Kalai-Smorodinsky bargaining solution}}, pages = {{17}}, title = {{{Distortion through modeling asymmetric bargaining power}}}, volume = {{148}}, year = {{2022}}, } @article{31881, author = {{Hoyer, Britta and De Jaegher, Kris}}, journal = {{International Journal of Game Theory}}, publisher = {{Springer}}, title = {{{Network Disruption and the Common-Enemy Effect}}}, doi = {{10.1007/s00182-022-00812-5}}, year = {{2022}}, } @article{34283, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, issn = {{0065-0668}}, journal = {{Academy of Management Proceedings}}, keywords = {{Microbiology}}, number = {{1}}, publisher = {{Academy of Management}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{10.5465/ambpp.2022.16394abstract}}, volume = {{2022}}, year = {{2022}}, } @article{33250, author = {{Szopinski, Daniel and Massa, Lorenzo and John, Thomas and Kundisch, Dennis and Tucci, Christopher}}, journal = {{Communications of the Association for Information Systems}}, pages = {{774--841}}, title = {{{Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research}}}, volume = {{51}}, year = {{2022}}, } @article{13147, abstract = {{Employing a unique and hand-collected sample of 648 true sale loan securitization transactions issued by 57 stock-listed banks across the EU-12 plus Switzerland over the period from 1997 to 2010, this paper empirically analyzes the relationship between true sale loan securitization and the issuing banks’ non-performing loans to total assets ratios. Overall, we provide evidence for a negative impact of securitization on NPL exposures suggesting that banks predominantly used securitization as an instrument of credit risk transfer and diversification. In addition, the analysis at hand reveals a time-sensitive relationship between securitization and NPL exposures. While we observe an even stronger NPL-reducing effect through securitization during the non-crisis periods, the effect reverses during and after the global financial crisis suggesting that banks were forced to provide credit enhancement and employ securitization as a funding management tool. Along with the results from a variety of sensitivity analyses our study provides important implications for the recent debate on reducing NPL exposures of European banks by revitalizing the European securitization market.}}, author = {{Wengerek, Sascha Tobias and Hippert, Benjamin and Uhde, André}}, journal = {{The Quarterly Review of Economics and Finance}}, keywords = {{European Banking, Non-performing Loans, Securitization}}, pages = {{48--64}}, publisher = {{Elsevier}}, title = {{{Risk allocation through securitization – Evidence from non-performing loans}}}, doi = {{https://doi.org/10.1016/j.qref.2022.06.005}}, volume = {{Vol. 86 (11)}}, year = {{2022}}, } @article{21571, abstract = {{The paper investigates the impact of individual attention on investor risk-taking. We analyze a large sample of trading records from a brokerage service that allows its customers to trade contracts-for-differences (CFD), and sends standardized push messages on recent stock performance to its client investors. The advantage of this sample is that it allows us to isolate the "push" messages as individual attention triggers, which we can directly link to the same individuals' risk-taking. A particular advantage of CFD trading is that it allows investors to make use of leverage, which provides us a pure measure of investors' willingness to take risks that is independent of the decision to purchase a particular stock. Leverage is a major catalyst of speculative trading, as it increases the scope of extreme returns, and enables investors to take larger positions than what they can afford with their own capital. We show that investors execute attention-driven trades with higher leverage, compared to their other trades, as well as those of other investors who are not alerted by attention triggers.}}, author = {{Arnold, Marc and Pelster, Matthias and Subrahmanyam, Marti G.}}, journal = {{Journal of Financial Economics}}, number = {{2}}, pages = {{ 846--875}}, title = {{{Attention triggers and investors' risk-taking}}}, doi = {{10.1016/j.jfineco.2021.05.031}}, volume = {{143}}, year = {{2022}}, } @article{23415, author = {{Sperling, Martina and Schryen, Guido}}, journal = {{European Journal of Operational Research (EJOR)}}, number = {{2}}, pages = {{690 -- 705}}, title = {{{Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers}}}, volume = {{299}}, year = {{2022}}, } @inproceedings{29539, abstract = {{Explainable Artificial Intelligence (XAI) is currently an important topic for the application of Machine Learning (ML) in high-stakes decision scenarios. Related research focuses on evaluating ML algorithms in terms of interpretability. However, providing a human understandable explanation of an intelligent system does not only relate to the used ML algorithm. The data and features used also have a considerable impact on interpretability. In this paper, we develop a taxonomy for describing XAI systems based on aspects about the algorithm and data. The proposed taxonomy gives researchers and practitioners opportunities to describe and evaluate current XAI systems with respect to interpretability and guides the future development of this class of systems.}}, author = {{Kucklick, Jan-Peter}}, booktitle = {{Wirtschaftsinformatik 2022 Proceedings}}, keywords = {{Explainable Artificial Intelligence, XAI, Interpretability, Decision Support Systems, Taxonomy}}, location = {{Nürnberg (online)}}, title = {{{Towards a model- and data-focused taxonomy of XAI systems}}}, year = {{2022}}, } @article{30295, author = {{Klingsiek, Katrin and John, Thomas and Kundisch, Dennis}}, journal = {{die hochschullehre}}, number = {{5}}, pages = {{61 -- 76}}, title = {{{Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination?}}}, volume = {{8}}, year = {{2022}}, } @article{32857, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, issn = {{0065-0668}}, journal = {{Academy of Management Proceedings}}, keywords = {{Microbiology}}, number = {{1}}, publisher = {{Academy of Management}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{10.5465/ambpp.2022.16394abstract}}, volume = {{2022}}, year = {{2022}}, } @article{32866, author = {{Shollo, Arisa and Hopf, Konstantin and Thiess, Tiemo and Müller, Oliver}}, issn = {{0963-8687}}, journal = {{The Journal of Strategic Information Systems}}, keywords = {{Information Systems and Management, Information Systems, Management Information Systems}}, number = {{3}}, publisher = {{Elsevier BV}}, title = {{{Shifting ML value creation mechanisms: A process model of ML value creation}}}, doi = {{10.1016/j.jsis.2022.101734}}, volume = {{31}}, year = {{2022}}, } @article{33221, abstract = {{AbstractNon-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.}}, author = {{Redlin, Margarete}}, issn = {{0922-680X}}, journal = {{Journal of Regulatory Economics}}, keywords = {{Economics and Econometrics}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Differences in NPI strategies against COVID-19}}}, doi = {{10.1007/s11149-022-09452-9}}, year = {{2022}}, } @article{33220, abstract = {{AbstractWe provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.}}, author = {{Gries, Thomas and Naudé, Wim}}, issn = {{2510-5019}}, journal = {{Journal for Labour Market Research}}, keywords = {{General Medicine}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Modelling artificial intelligence in economics}}}, doi = {{10.1186/s12651-022-00319-2}}, volume = {{56}}, year = {{2022}}, } @article{33219, author = {{Gries, Thomas and Müller, Veronika and Jost, John T.}}, issn = {{1047-840X}}, journal = {{Psychological Inquiry}}, keywords = {{General Psychology}}, number = {{2}}, pages = {{65--83}}, publisher = {{Informa UK Limited}}, title = {{{The Market for Belief Systems: A Formal Model of Ideological Choice}}}, doi = {{10.1080/1047840x.2022.2065128}}, volume = {{33}}, year = {{2022}}, } @phdthesis{32856, author = {{Endres-Fröhlich, Angelika Elfriede}}, title = {{{Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption}}}, doi = {{10.17619/UNIPB/1-1581}}, year = {{2022}}, } @article{33692, abstract = {{Abstract An individual’s relation to time may be an important driver of pro-environmental behaviour. We studied whether young individual’s gender and time-orientation are associated with pro-environmental behaviour. In a controlled laboratory environment with students in Germany, participants earned money by performing a real-effort task and were then offered the opportunity to invest their money into an environmental project that supports climate protection. Afterwards, we controlled for their time-orientation. In this consequential behavioural setting, we find that males who scored higher on future-negative orientation showed significantly more pro-environmental behaviour compared to females who scored higher on future-negative orientation and males who scored lower on future-negative orientation. Interestingly, our results are completely reversed when it comes to past-positive orientation. These findings have practical implications regarding the most appropriate way to address individuals in order to achieve more pro-environmental behaviour.}}, author = {{Hoffmann, Christin and Hoppe, Julia Amelie and Ziemann, Niklas}}, issn = {{1748-9326}}, journal = {{Environmental Research Letters}}, keywords = {{Public Health, Environmental and Occupational Health, General Environmental Science, Renewable Energy, Sustainability and the Environment}}, number = {{10}}, publisher = {{IOP Publishing}}, title = {{{Who has the future in mind? Gender, time perspectives, and pro-environmental behaviour}}}, doi = {{10.1088/1748-9326/ac9296}}, volume = {{17}}, year = {{2022}}, } @article{23566, author = {{Kundisch, Dennis and Muntermann, J. and Oberländer, A. M. and Rau, D. and Röglinger, M. and Schoormann, T. and Szopinski, Daniel}}, journal = {{Business & Information Systems Engineering}}, number = {{4}}, pages = {{421--439}}, title = {{{An update for taxonomy designers: Methodological guidance from information systems research}}}, volume = {{64}}, year = {{2022}}, } @inproceedings{33884, author = {{Laux, Florian and Kundisch, Dennis}}, location = {{Copenhagen, Denmark}}, title = {{{Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting}}}, year = {{2022}}, } @article{34046, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{2168-2291}}, journal = {{IEEE Transactions on Human-Machine Systems}}, keywords = {{Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Signal Processing, Control and Systems Engineering, Human Factors and Ergonomics}}, pages = {{1--11}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control}}}, doi = {{10.1109/thms.2022.3212335}}, year = {{2022}}, } @article{35620, abstract = {{Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.}}, author = {{Kucklick, Jan-Peter and Müller, Oliver}}, issn = {{2158-656X}}, journal = {{ACM Transactions on Management Information Systems}}, keywords = {{Interpretability, Convolutional Neural Network, Accuracy-Interpretability Trade-Of, Real Estate Appraisal, Hedonic Pricing, Grad-Ram}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}}}, doi = {{10.1145/3567430}}, year = {{2022}}, } @article{35647, author = {{Tawiah, Beatrice Baaba}}, journal = {{Applied Economics}}, number = {{58}}, pages = {{6687--6702}}, title = {{{Does education have an impact on patience and risk willingness?}}}, doi = {{10.1080/00036846.2022.2078780}}, volume = {{54}}, year = {{2022}}, } @article{35719, author = {{Kengelbach, Jens and Keienburg, Georg and Söllner, Tobias and Wang, Yiran and Sievers, Sönke and Friedmann, Daniel and Nielsen, Jesper}}, journal = {{BCG M&A Report 2022}}, title = {{{Green Deals Gain Steam }}}, year = {{2022}}, } @article{35722, author = {{Kengelbach, Jens and Friedman, Daniel and Keienburg, Georg and Degen, Dominik and Söllner, Tobias and Wang, Yiran and Sievers, Sönke}}, journal = {{BCG M&A Report 2022}}, title = {{{Do Green Deals Create Value? }}}, year = {{2022}}, } @article{35728, abstract = {{Abstract Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}}, author = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}}, number = {{2}}, pages = {{493--501}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{From private digital platforms to public data spaces: implications for the digital transformation}}}, doi = {{10.1007/s12525-022-00553-z}}, volume = {{32}}, year = {{2022}}, } @article{35732, abstract = {{AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}}, author = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}}, number = {{1}}, pages = {{375--396}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}}, doi = {{10.1007/s12525-022-00530-6}}, volume = {{32}}, year = {{2022}}, } @article{35741, abstract = {{AbstractBusiness process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic.}}, author = {{Röglinger, Maximilian and Plattfaut, Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen, Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma, Stefanie and Rosemann, Michael and Santoro, Flavia Maria and Trkman, Peter}}, issn = {{2363-7005}}, journal = {{Business & Information Systems Engineering}}, keywords = {{Information Systems}}, number = {{5}}, pages = {{669--687}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Exogenous Shocks and Business Process Management}}}, doi = {{10.1007/s12599-021-00740-w}}, volume = {{64}}, year = {{2022}}, } @article{35740, abstract = {{AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}}, author = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}}, number = {{1}}, pages = {{375--396}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}}, doi = {{10.1007/s12525-022-00530-6}}, volume = {{32}}, year = {{2022}}, } @techreport{35097, author = {{Ebert, Michael and Schäfer, Ulrich and Schneider, Georg Thomas}}, issn = {{1556-5068}}, title = {{{Information Leaks and Voluntary Disclosure}}}, doi = {{10.2139/ssrn.4168084}}, year = {{2022}}, } @article{36961, author = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, keywords = {{Library and Information Sciences, Information Systems}}, pages = {{1--21}}, publisher = {{Informa UK Limited}}, title = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}}, doi = {{10.1080/0960085x.2022.2081096}}, year = {{2022}}, } @techreport{37070, author = {{Beyer, Bianca and Flagmeier, Vanessa and Kosi, Urska}}, title = {{{Does private firms’ disclosure affect public peers’ information environment?}}}, year = {{2022}}, } @techreport{37131, abstract = {{This paper introduces a novel database on the European corporate bond market to analyze the role of transparency regulation and recent developments in bond markets. We use data from the European Securities and Markets Authority (ESMA) to build a comprehensive database covering daily corporate bond listing information in Europe starting in 2018. We then analyze the different market segments of the European bond market along four key areas: (i) time and cross-sectional trends in bond listings; (ii) composition of firms on the market; (iii) firms’ financial reporting transparency; (iv) bond contract terms. Furthermore, we discuss the impact of recent economic events on these key areas.}}, author = {{Franke, Benedikt and Kosi, Urska and Stoczek, Pia}}, keywords = {{Transparency regulation, Corporate bond, European market}}, title = {{{Current developments in the European corporate bond market}}}, year = {{2022}}, } @techreport{37088, abstract = {{We examine variation in mandatory CSR reporting practices based on a large sample of non-publicly listed savings banks in Germany. They do not have typical shareholders but rather are established by municipal trustees and can serve clients only in their distinct operating area. This setting permits us to identify demand for CSR information by their main stakeholder groups – municipal trustees and private and corporate clients. In this way, our analysis focuses on the double-materiality approach to CSR reporting. We find that demand for CSR information by supervisory board chairperson belonging to a left-wing or green party and the presence of more supervisory board members belonging to a left-wing or green party are associated with longer CSR reports and more disclosure on environmental, social, employee and human rights matters. In addition, competition for private clients and the sustainability orientation of corporate clients are associated with longer reports and more disclosure on environmental, employee and human rights matters. These findings suggest that savings banks’ CSR reports cater to their principal stakeholders’ demand for CSR information.}}, author = {{Gulenko, Maryna and Kohlhase, Saskia and Kosi, Urska}}, keywords = {{Corporate social responsibility, Mandatory reporting, Non-publicly listed banks, Double materiality, Stakeholder groups, Political influence}}, title = {{{CSR Reporting under the Non-Financial Reporting Directive: Evidence from Non-publicly Listed Firms}}}, year = {{2022}}, } @techreport{37089, abstract = {{This research note links the legal framework of the insolvency process of German firms to the information available in the newly-constructed insol database. In particular, the database contains information from documents published by German insolvency courts in period 2005- 2022. This research note first presents the insolvency process with steps and events of the process as determined by the Insolvency Law (InsO). Next, it classifies the documents to specific steps and events, and then presents their information content using textual analysis. Specifically, we identify target phrases via manual document checks and then create regular expressions for the target phrases. Classification of documents allows us to sketch most common paths that insolvent firms go through.}}, author = {{Ahlers, Theresa and Edossa, Fikir Worku and Uckert, Matthias and Kosi, Urska}}, keywords = {{insol database, insolvency process, Germany, court fillings}}, title = {{{Insolvcency Process in Germany and the insol database: A research Note}}}, year = {{2022}}, } @article{34449, author = {{Crépellière, Tommy and Pelster, Matthias and Zeisberger, Stefan}}, journal = {{Journal of Financial Markets}}, title = {{{Arbitrage in the Market for Cryptocurrencies}}}, doi = {{10.1016/j.finmar.2023.100817}}, year = {{2022}}, } @misc{39963, author = {{Bas, Sahin}}, title = {{{Die Luftfahrt zwischen Liberalisierung und Konsolidierung - eine wettbewerbspolitische Analyse von Low-Cost- und Networkairlines}}}, year = {{2022}}, } @misc{40464, author = {{Erdogan, Yeliz}}, title = {{{Unternehmenszusammenschlüsse von Supermärkten - eine wettbewerbspolitische Analyse am Beispiel von Edeka und Kaiser's Tengelmann}}}, year = {{2022}}, } @misc{40468, author = {{Perampalam, Abirame}}, title = {{{Zum Potenzial von Kryptowährungen. Eine ökonomische Analyse zu den Chancen und Risiken digitaler Währungen}}}, year = {{2022}}, } @misc{40467, author = {{Nassar, Hamza}}, title = {{{Mergers on digital markets - An economic analysis}}}, year = {{2022}}, } @misc{35775, author = {{Sureth-Sloane, Caren}}, publisher = {{VHB}}, title = {{{Steuerreformen: Investitionsstimulus oder bloß heiße Luft? Wann steuerliche Verlustrückträge der Wirtschaft helfen können}}}, year = {{2022}}, } @misc{40469, author = {{Sarsar, Abdelmajid}}, title = {{{Monopolbildung im Zuge der Globalisierung und Digitalisierung der GAFA-Unternehmen (Google, Amazon, Facebook, Apple) - eine wettbewerbspolitische Analyse}}}, year = {{2022}}, } @misc{40474, author = {{Bas, Mikail}}, title = {{{Kartelle und technischen Absprachen zur Forschung und Entwicklung - Eine wettbewerbspolitische Analyse anhand der Automobilindustrie}}}, year = {{2022}}, } @misc{40472, author = {{Vikue, Baribuma Lucy}}, title = {{{Blockchain Technology and the Internet of Thing-Risks and Chances for Supply Chains}}}, year = {{2022}}, } @misc{40471, author = {{Taskin, Ibrahim}}, title = {{{Die Fusion von Kaiser's Tengelmann und EDEKA - eine wettbewerbspolitische Analyse}}}, year = {{2022}}, } @article{36083, author = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, keywords = {{Library and Information Sciences, Information Systems, Self-Tracking, User Behaviour, Discontinuance}}, pages = {{1--21}}, publisher = {{Informa UK Limited}}, title = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}}, doi = {{10.1080/0960085x.2022.2081096}}, year = {{2022}}, } @article{36960, author = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, keywords = {{Library and Information Sciences, Information Systems}}, pages = {{1--21}}, publisher = {{Informa UK Limited}}, title = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}}, doi = {{10.1080/0960085x.2022.2081096}}, year = {{2022}}, } @inproceedings{36084, author = {{Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}}, booktitle = {{Wirtschaftsinformatik 2022 Proceedings}}, location = {{Erlangen Nürnberg}}, title = {{{The Black Box of Social Commerce Platforms - A Closer Look at Users’ Activities}}}, year = {{2022}}, } @techreport{41182, author = {{Ortmann, Regina and Schindler, Dirk}}, title = {{{Income Shifting and Management Incentives}}}, year = {{2022}}, } @inproceedings{41487, author = {{Sven, Weinzierl and Bartelheimer, Christian and Zilker, Sandra and Beverungen, Daniel and Matzner, Martin}}, booktitle = {{Proceedings of the 26th Pacific Asia Conference on Information Systems (PACIS)}}, title = {{{ A Method for Predicting Workarounds in Business Processes}}}, year = {{2022}}, } @inbook{21586, author = {{Klein, M. and Kundisch, Dennis and Stummer, C.}}, booktitle = {{Handbuch Digitalisierung}}, editor = {{Corsten, H. and Roth, S.}}, pages = {{799--814}}, publisher = {{Vahle}}, title = {{{Feeless Micropayments and Their Impact on Business Models}}}, year = {{2022}}, } @article{21405, abstract = {{Previous accounting research shows that taxes affect decision making by individuals and firms. Most studies assume that agents have an accurate perception regarding their tax burden. However, there is a growing body of literature analyzing whether taxes are indeed perceived correctly. We review 128 studies on the measurement of tax misperception and its behavioral implications. The review reveals that many taxpayers have substantial tax misperceptions that lead to biased decision making. We develop a Behavioral Taxpayer Response Model on the impact of provided tax information on tax perception. Besides individual traits, characteristics of the tax information and the decision environment determine the extent of tax misperception. We discuss opportunities for future research and methodological limitations. While there is much evidence on tax misperception at the individual level, we hardly find any research at the firm level. Little is known about the real effects of managers’ tax misperception and on how tax information is strategically managed to impact stakeholders. This research gap is surprising as a large part of the accounting literature analyzes decision making and disclosure of firms. We recommend a mixed-method approach combining experiments, surveys, and archival data analyses to improve the knowledge on tax misperception and its consequences.}}, author = {{Blaufus, Kay and Chirvi, Malte and Huber, Hans-Peter and Maiterth, Ralf and Sureth-Sloane, Caren}}, journal = {{European Accounting Review}}, number = {{1}}, pages = {{111--144}}, title = {{{Tax Misperception and Its Effects on Decision Making - Literature Review and Behavioral Taxpayer Response Model}}}, doi = {{10.1080/09638180.2020.1852095}}, volume = {{31}}, year = {{2022}}, } @misc{42525, author = {{Dubbert, Annika}}, title = {{{Marktmissbrauch in Online-Märkten und die Herausforderungen für die Wettbewerbsbehörden - eine wettbewerbspolitische Betrachtung}}}, year = {{2022}}, } @misc{42526, author = {{Miftari, Ardita}}, title = {{{Zur Bekämpfung von Marktmachtmissbrauch in digitalen Märkten – Wettbewerbspolitische Maßnahmen im Vergleich}}}, year = {{2022}}, } @misc{42527, author = {{Minhaj, Noor}}, title = {{{Of the efficacy of competition law in dealing with challenges of digital markets - Selected cases of Facebook}}}, year = {{2022}}, } @misc{42528, author = {{Rayhan, Md. Sashi}}, title = {{{On the Efficacy of EU Competition Policy in the Context of Big Data}}}, year = {{2022}}, } @misc{42524, author = {{Busch, Anna Lisa}}, title = {{{On the privatization of hospitals - The case of Germany}}}, year = {{2022}}, } @inproceedings{41486, abstract = {{Now accounting for more than 80% of a firm's worth, brands have become essential assets for modern organizations. However, methods and techniques for the monetary valuation of brands are still under-researched. Hence, the objective of this study is to evaluate the utility of explanatory statistical models and machine learning approaches for explaining and predicting brand value. Drawing upon the case of the most valuable English football brands during the 2016/17 to 2020/21 seasons, we demonstrate how to operationalize Aaker's (1991) theoretical brand equity framework to collect meaningful qualitative and quantitative feature sets. Our explanatory models can explain up to 77% of the variation in brand valuations across all clubs and seasons, while our predictive approach can predict out-of-sample observations with a mean absolute percentage error (MAPE) of 14%. Future research can build upon our results to develop domain-specific brand valuation methods while enabling managers to make better-informed investment decisions.}}, author = {{Caron, Matthew and Bartelheimer, Christian and Müller, Oliver}}, booktitle = {{Proceeding of the 28th Americas Conference on Information Systems (AMCIS)}}, location = {{Minneapolis, USA}}, title = {{{Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation}}}, year = {{2022}}, } @techreport{35785, author = {{Fochmann, Martin and Heinemann-Heile, Vanessa and Huber, Hans-Peter and Sureth-Sloane, Caren}}, issn = {{1556-5068}}, title = {{{Firms' Tax Rate Misperception: Measurement, Drivers, and Distortionary Effects}}}, doi = {{10.2139/ssrn.4300919}}, volume = {{108}}, year = {{2022}}, } @techreport{35795, author = {{Greil, Stefan and Overesch, Michael and Rohlfing-Bastian, Anna and Schreiber, Ulrich and Sureth-Sloane, Caren}}, issn = {{1556-5068}}, title = {{{Towards an Amended Arm's Length Principle - Tackling complexity and implementing destination rules in transfer pricing}}}, doi = {{10.2139/ssrn.4166972}}, volume = {{89}}, year = {{2022}}, } @techreport{35790, author = {{Chen, An and Hieber, Peter and Sureth-Sloane, Caren}}, issn = {{1556-5068}}, title = {{{How Do Tax Certainty Measures Affect Optimal Investment under Cash Flow and Tax Uncertainty?}}}, doi = {{10.2139/ssrn.4027790}}, volume = {{273}}, year = {{2022}}, } @misc{42948, author = {{Kuzuoglu, Muhammed Numan}}, title = {{{Der Marktplatz von Amazon - Eine wettbewerbspolitische Analyse}}}, year = {{2022}}, } @misc{43057, author = {{Sowinski, Olivia}}, title = {{{Zu den Auswirkungen von Big Data auf personalisierte Angebote in digitalen Märkten - eine wettbewerbspolitische Analyse}}}, year = {{2022}}, } @misc{43056, author = {{Schmidt, Thomas}}, title = {{{Zu den Vor- und Nachteilen von Luftfahrtallianzen - Eine wettbewerbspolitische Perspektive auf den Alleingang von Emirates}}}, year = {{2022}}, } @misc{43059, author = {{Yeboah, Amoabeng}}, title = {{{An Economic Analysis of Mergers and Aquisitions - The case of Facebook and WhatsApp}}}, year = {{2022}}, } @misc{42947, author = {{Hensel, Jason}}, title = {{{Zu Online-Vergleichsportalen und deren Auswirkungen auf den Markt - Eine wettbewerbspolitische Analyse}}}, year = {{2022}}, } @inproceedings{44072, author = {{Meydani, Elnaz and Düsing, Christoph and Fedrau, Annamaria and Trier, Matthias}}, title = {{{The “black box” of social commerce platforms-a closer look at users’ activities}}}, year = {{2022}}, } @techreport{44091, abstract = {{We study the effects of product differentiation on the bundling incentives of a two-product retailer. Two monopolistic manufacturers each produce a differentiated good. One sells it to both retailers, while the other only supplies a single retailer. Retailers compete in prices. Retail bundling is profitable when the goods are close substitutes. Only then is competition so intense that the retailer uses bundling to relax competition both within and across product markets, despite an aggravation of the double marginalization problem. Our asymmetric market structure arises endogenously for the case of close substitutes. In this case, bundling reduces social welfare.}}, author = {{Endres-Fröhlich, Angelika Elfriede and Hehenkamp, Burkhard and Heinzel, Joachim}}, keywords = {{Retail bundling, upstream market power, double marginalization, product differentiation}}, pages = {{43}}, title = {{{The Impact of Product Differentiation on Retail Bundling in a Vertical Market}}}, year = {{2022}}, }