TY - CONF AB - 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%. AU - Kucklick, Jan-Peter ID - 27506 KW - Explainable Artificial Intelligence (XAI) KW - Regression Activation Maps KW - Real Estate Appraisal KW - Convolutional Block Attention Module KW - Computer Vision T2 - 55th Annual Hawaii International Conference on System Sciences (HICSS-55) TI - Visual Interpretability of Image-based Real Estate Appraisal ER - TY - CONF AB - 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. AU - Heuwinkel, Tim AU - Kucklick, Jan-Peter AU - Müller, Oliver ID - 27507 KW - Real Estate Appraisal KW - Text Regression KW - Natural Language Processing (NLP) KW - Location Intelligence KW - Wikipedia T2 - 55th Annual Hawaii International Conference on System Sciences (HICSS-55) TI - Using Geolocated Text to Quantify Location in Real Estate Appraisal ER - TY - THES AU - Fanasch, Patrizia ID - 30201 TI - Governance and Reputation in the Market for Experience Goods ER - TY - JOUR AU - Hoyer, Britta AU - van Straaten, Dirk ID - 30341 JF - Journal of Behavioral and Experimental Economics KW - General Social Sciences KW - Economics and Econometrics KW - Applied Psychology SN - 2214-8043 TI - Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis VL - 98 ER - TY - GEN AU - Schulz, Michael AU - Neuhaus, Uwe AU - Kaufmann, Jens AU - Kühnel, Stephan AU - Alekozai, Emal M. AU - Rohde, Heiko AU - Hoseini, Sayed AU - Theuerkauf, René AU - Badura, Daniel AU - Kerzel, Ulrich AU - Lanquillon, Carsten AU - Daurer, Stephan AU - Günther, Maik AU - Huber, Lukas AU - Thiée, Lukas-Walter AU - zur Heiden, Philipp AU - Passlick, Jens AU - Dieckmann, Jonas AU - Schwade, Florian AU - Seyffarth, Tobias AU - Badewitz, Wolfgang AU - Rissler, Raphael AU - Sackmann, Stefan AU - Gölzer, Philipp AU - Welter, Felix AU - Röth, Jochen AU - Seidelmann, Julian AU - Haneke, Uwe ID - 30737 TI - DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte ER - TY - JOUR AU - Hoppe, Julia Amelie AU - Melkas, Helinä AU - Pekkarinen, Satu AU - Tuisku, Outi AU - Hennala, Lea AU - Johansson-Pajala, Rose-Marie AU - Gustafsson, Christine AU - Thommes, Kirsten ID - 32266 JF - International Journal of Human–Computer Interaction KW - Computer Science Applications KW - Human-Computer Interaction KW - Human Factors and Ergonomics SN - 1044-7318 TI - Perception of Society’s Trust in Care Robots by Public Opinion Leaders ER - TY - JOUR AU - Hoppe, Julia Amelie AU - Melkas, Helinä AU - Pekkarinen, Satu AU - Tuisku, Outi AU - Hennala, Lea AU - Johansson-Pajala, Rose-Marie AU - Gustafsson, Christine AU - Thommes, Kirsten ID - 32267 JF - International Journal of Human–Computer Interaction KW - Computer Science Applications KW - Human-Computer Interaction KW - Human Factors and Ergonomics SN - 1044-7318 TI - Perception of Society’s Trust in Care Robots by Public Opinion Leaders ER - TY - CHAP AU - Akkerman, Agnes AU - Manevska, Katerina AU - Thommes, Kirsten AU - Sluiter, Roderick ID - 32272 SN - 9781003125730 T2 - Employment Relations as Networks TI - Losing What You Never Had ER - TY - JOUR AU - Poniatowski, Martin AU - Lüttenberg, Hedda AU - Beverungen, Daniel AU - Kundisch, Dennis ID - 17869 JF - Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies TI - Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms VL - 2 ER - TY - CHAP AU - zur Heiden, Philipp AU - Priefer, Jennifer AU - Beverungen, Daniel ED - Bruhn, Manfred ED - Hadwich, Karsten ID - 32363 SN - 2662-3382 T2 - Forum Dienstleistungsmanagement TI - Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes ER - TY - JOUR AU - Hoffmann, Christin AU - Thommes, Kirsten ID - 34044 JF - Journal of Cleaner Production KW - Industrial and Manufacturing Engineering KW - Strategy and Management KW - General Environmental Science KW - Renewable Energy KW - Sustainability and the Environment KW - Building and Construction SN - 0959-6526 TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic ER - TY - JOUR AU - Hoffmann, Christin AU - Thommes, Kirsten ID - 34045 JF - Journal of Cleaner Production KW - Industrial and Manufacturing Engineering KW - Strategy and Management KW - General Environmental Science KW - Renewable Energy KW - Sustainability and the Environment KW - Building and Construction SN - 0959-6526 TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic ER - TY - JOUR AB - 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. AU - Fahr, René AU - Janssen, Elmar A. AU - Sureth-Sloane, Caren ID - 29049 IS - 1-2 JF - FinanzArchiv / Public Finance Analysis KW - Economic ExperimentM KW - Investment Decisions KW - Tax Effects KW - Timing Flexibility KW - Uncertainty TI - Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment VL - 78 ER - TY - JOUR AB - 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. AU - Eberhartinger, Eva AU - Speitmann, Raffael AU - Sureth-Sloane, Caren AU - Wu, Yuchen ID - 29048 IS - 1-2 JF - FinanzArchiv / Public Finance Analysis KW - Behavioral Taxation KW - Concessionary Behavior KW - Interpersonal Trust KW - Tax Audit KW - Trust in Government TI - How Does Trust Affect Concessionary Behavior in Tax Bargaining? VL - 78 ER - TY - JOUR AU - Robra-Bissantz, Susanne AU - Lattemann, Christoph AU - Laue, Ralf AU - Leonhard-Pfleger, Raphaela AU - Wagner, Luisa AU - Gerundt, Oliver AU - Schlimbach, Ricarda AU - Baumann, Sabine AU - Vorbohle, Christian AU - Gottschalk, Sebastian AU - Kundisch, Dennis AU - Engels, Gregor AU - Wünderlich, Nancy AU - Nissen, Volker AU - Lohrenz, Lisa AU - Michalke, Simon ID - 33251 IS - 5 JF - HMD Praxis der Wirtschaftsinformatik TI - Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme VL - 59 ER - TY - CONF AU - Althaus, Maike AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 33502 T2 - Proceedings of the 43rd International Conference on Information Systems (ICIS) TI - Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic ER - TY - GEN AU - Laux, Florian AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 33882 TI - May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms ER - TY - GEN AU - Seutter, Janina ID - 33885 TI - Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives ER - TY - GEN AU - Seutter, Janina ID - 30916 T2 - Proceedings of the 30th European Conference on Information Systems (ECIS) TI - Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations ER - TY - GEN AU - Poniatowski, Martin ID - 31062 T2 - Proceedings of the 28th Americas Conference on Information Systems (AMCIS) TI - How the Display of the Transaction Count Affects the Purchase Intention ER - TY - CONF AU - Vorbohle, Christian AU - Kundisch, Dennis ID - 30939 T2 - Proceedings of the 30th European Conference on Information Systems (ECIS) TI - Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems ER - TY - GEN AU - Althaus, Maike AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 30734 TI - Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic ER - TY - GEN AU - Vorbohle, Christian AU - Kundisch, Dennis ID - 30212 TI - Key Properties of Sustainable Business Ecosystem Relationships ER - TY - CONF AU - Grieger, Nicole AU - Seutter, Janina AU - Kundisch, Dennis ID - 28999 T2 - Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022 TI - Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic ER - TY - GEN AB - 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. AU - Haake, Claus-Jochen AU - Streck, Thomas ID - 32106 KW - Asymmetric bargaining power KW - Nash bargaining solution KW - Kalai-Smorodinsky bargaining solution TI - Distortion through modeling asymmetric bargaining power VL - 148 ER - TY - JOUR AU - Hoyer, Britta AU - De Jaegher, Kris ID - 31881 JF - International Journal of Game Theory TI - Network Disruption and the Common-Enemy Effect ER - TY - JOUR AU - Gutt, Jana Kim AU - Thommes, Kirsten ID - 34283 IS - 1 JF - Academy of Management Proceedings KW - Microbiology SN - 0065-0668 TI - Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments VL - 2022 ER - TY - JOUR AU - Szopinski, Daniel AU - Massa, Lorenzo AU - John, Thomas AU - Kundisch, Dennis AU - Tucci, Christopher ID - 33250 JF - Communications of the Association for Information Systems TI - Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research VL - 51 ER - TY - JOUR AB - 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. AU - Wengerek, Sascha Tobias AU - Hippert, Benjamin AU - Uhde, André ID - 13147 JF - The Quarterly Review of Economics and Finance KW - European Banking KW - Non-performing Loans KW - Securitization TI - Risk allocation through securitization – Evidence from non-performing loans VL - Vol. 86 (11) ER - TY - JOUR AB - 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. AU - Arnold, Marc AU - Pelster, Matthias AU - Subrahmanyam, Marti G. ID - 21571 IS - 2 JF - Journal of Financial Economics TI - Attention triggers and investors' risk-taking VL - 143 ER - TY - JOUR AU - Sperling, Martina AU - Schryen, Guido ID - 23415 IS - 2 JF - European Journal of Operational Research (EJOR) TI - Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers VL - 299 ER - TY - CONF AB - 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. AU - Kucklick, Jan-Peter ID - 29539 KW - Explainable Artificial Intelligence KW - XAI KW - Interpretability KW - Decision Support Systems KW - Taxonomy T2 - Wirtschaftsinformatik 2022 Proceedings TI - Towards a model- and data-focused taxonomy of XAI systems ER - TY - JOUR AU - Klingsiek, Katrin AU - John, Thomas AU - Kundisch, Dennis ID - 30295 IS - 5 JF - die hochschullehre TI - Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination? VL - 8 ER - TY - JOUR AU - Gutt, Jana Kim AU - Thommes, Kirsten ID - 32857 IS - 1 JF - Academy of Management Proceedings KW - Microbiology SN - 0065-0668 TI - Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments VL - 2022 ER - TY - JOUR AU - Shollo, Arisa AU - Hopf, Konstantin AU - Thiess, Tiemo AU - Müller, Oliver ID - 32866 IS - 3 JF - The Journal of Strategic Information Systems KW - Information Systems and Management KW - Information Systems KW - Management Information Systems SN - 0963-8687 TI - Shifting ML value creation mechanisms: A process model of ML value creation VL - 31 ER - TY - JOUR AB - 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. AU - Redlin, Margarete ID - 33221 JF - Journal of Regulatory Economics KW - Economics and Econometrics SN - 0922-680X TI - Differences in NPI strategies against COVID-19 ER - TY - JOUR AB - 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. AU - Gries, Thomas AU - Naudé, Wim ID - 33220 IS - 1 JF - Journal for Labour Market Research KW - General Medicine SN - 2510-5019 TI - Modelling artificial intelligence in economics VL - 56 ER - TY - JOUR AU - Gries, Thomas AU - Müller, Veronika AU - Jost, John T. ID - 33219 IS - 2 JF - Psychological Inquiry KW - General Psychology SN - 1047-840X TI - The Market for Belief Systems: A Formal Model of Ideological Choice VL - 33 ER - TY - THES AU - Endres-Fröhlich, Angelika Elfriede ID - 32856 TI - Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption ER - TY - JOUR AB - 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. AU - Hoffmann, Christin AU - Hoppe, Julia Amelie AU - Ziemann, Niklas ID - 33692 IS - 10 JF - Environmental Research Letters KW - Public Health KW - Environmental and Occupational Health KW - General Environmental Science KW - Renewable Energy KW - Sustainability and the Environment SN - 1748-9326 TI - Who has the future in mind? Gender, time perspectives, and pro-environmental behaviour VL - 17 ER - TY - JOUR AU - Kundisch, Dennis AU - Muntermann, J. AU - Oberländer, A. M. AU - Rau, D. AU - Röglinger, M. AU - Schoormann, T. AU - Szopinski, Daniel ID - 23566 IS - 4 JF - Business & Information Systems Engineering TI - An update for taxonomy designers: Methodological guidance from information systems research VL - 64 ER - TY - GEN AU - Laux, Florian AU - Kundisch, Dennis ID - 33884 TI - Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting ER - TY - JOUR AU - Hoffmann, Christin AU - Thommes, Kirsten ID - 34046 JF - IEEE Transactions on Human-Machine Systems KW - Artificial Intelligence KW - Computer Networks and Communications KW - Computer Science Applications KW - Human-Computer Interaction KW - Signal Processing KW - Control and Systems Engineering KW - Human Factors and Ergonomics SN - 2168-2291 TI - Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control ER - TY - JOUR AB - 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. AU - Kucklick, Jan-Peter AU - Müller, Oliver ID - 35620 JF - ACM Transactions on Management Information Systems KW - Interpretability KW - Convolutional Neural Network KW - Accuracy-Interpretability Trade-Of KW - Real Estate Appraisal KW - Hedonic Pricing KW - Grad-Ram SN - 2158-656X TI - Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal ER - TY - JOUR AU - Tawiah, Beatrice Baaba ID - 35647 IS - 58 JF - Applied Economics TI - Does education have an impact on patience and risk willingness? VL - 54 ER - TY - JOUR AU - Kengelbach, Jens AU - Keienburg, Georg AU - Söllner, Tobias AU - Wang, Yiran AU - Sievers, Sönke AU - Friedmann, Daniel AU - Nielsen, Jesper ID - 35719 JF - BCG M&A Report 2022 TI - Green Deals Gain Steam ER - TY - JOUR AU - Kengelbach, Jens AU - Friedman, Daniel AU - Keienburg, Georg AU - Degen, Dominik AU - Söllner, Tobias AU - Wang, Yiran AU - Sievers, Sönke ID - 35722 JF - BCG M&A Report 2022 TI - Do Green Deals Create Value? ER - TY - JOUR AB - 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. AU - Beverungen, Daniel AU - Hess, Thomas AU - Köster, Antonia AU - Lehrer, Christiane ID - 35728 IS - 2 JF - Electronic Markets KW - Management of Technology and Innovation KW - Marketing KW - Computer Science Applications KW - Economics and Econometrics KW - Business and International Management SN - 1019-6781 TI - From private digital platforms to public data spaces: implications for the digital transformation VL - 32 ER - TY - JOUR AB - 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. AU - Bartelheimer, Christian AU - zur Heiden, Philipp AU - Lüttenberg, Hedda AU - Beverungen, Daniel ID - 35732 IS - 1 JF - Electronic Markets KW - Management of Technology and Innovation KW - Marketing KW - Computer Science Applications KW - Economics and Econometrics KW - Business and International Management SN - 1019-6781 TI - Systematizing the lexicon of platforms in information systems: a data-driven study VL - 32 ER - TY - JOUR AB - 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. AU - Röglinger, Maximilian AU - Plattfaut, Ralf AU - Borghoff, Vincent AU - Kerpedzhiev, Georgi AU - Becker, Jörg AU - Beverungen, Daniel AU - vom Brocke, Jan AU - Van Looy, Amy AU - del-Río-Ortega, Adela AU - Rinderle-Ma, Stefanie AU - Rosemann, Michael AU - Santoro, Flavia Maria AU - Trkman, Peter ID - 35741 IS - 5 JF - Business & Information Systems Engineering KW - Information Systems SN - 2363-7005 TI - Exogenous Shocks and Business Process Management VL - 64 ER -