TY - CONF AB - Market transactions are subject to information asymmetry about the delivered value proposition, causing transaction costs and adverse market effects among buyers and sellers. Information systems research has investigated how review systems can reduce information asymmetry in business-to-consumer markets. However, these systems cannot be readily applied to business-to-business markets, are vulnerable to manipulation, and suffer from conceptual weak spots since they use textual data or star ratings. Building on design science research, we conceptualize a new class of reputation systems based on monetary-based payments as quantitative ratings for each transaction stored on a blockchain. Using cryptography, we show that our system assures content confidentiality so that buyers can share and sell their ratings selectively, establishing a reputation ecosystem. Our prescriptive insights advance the design of reputation systems and offer new paths to understanding the antecedents, dynamics, and consequences to reduce information asymmetry in B2B transactions. AU - Hemmrich, Simon AU - Bobolz, Jan AU - Beverungen, Daniel AU - Blömer, Johannes ID - 44855 T2 - ECIS 2023 Research Papers TI - Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain ER - TY - JOUR AU - Beverungen, Daniel AU - Kundisch, Dennis AU - Mirbabaie, Milad AU - Müller, Oliver AU - Schryen, Guido AU - Trang, Simon Thanh-Nam AU - Trier, Matthias ID - 45112 IS - 4 JF - Business & Information Systems Engineering TI - Digital Responsibility – a Multilevel Framework for Responsible Digitalization VL - 65 ER - TY - CONF AU - zur Heiden, Philipp AU - Priefer, Jennifer AU - Beverungen, Daniel ED - Bui, Tung X. ID - 29146 SN - 978-0-9981331-5-7 T2 - Proceedings of the 55th Hawaii International Conference on System Sciences TI - Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid ER - TY - CONF AU - Herwix, Alexander AU - zur Heiden, Philipp ED - Bui, Tung X. ID - 29147 SN - 978-0-9981331-5-7 T2 - Proceedings of the 55th Hawaii International Conference on System Sciences TI - Context in Design Science Research: Taxonomy and Framework ER - TY - CONF AU - zur Heiden, Philipp AU - Beverungen, Daniel ED - Bui, Tung X. ID - 29148 SN - 978-0-9981331-5-7 T2 - Proceedings of the 55th Hawaii International Conference on System Sciences TI - A Renaissance of Context in Design Science Research 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 - 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 - 35740 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 - CONF AU - Kucklick, Jan-Peter AU - Müller, Jennifer AU - Beverungen, Daniel AU - Müller, Oliver ID - 22514 T2 - European Conference on Information Systems TI - Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach ER -