@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}}, }