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 - TY - CONF AU - Berendes, Carsten Ingo AU - zur Heiden, Philipp AU - Niemann, Marco AU - Hoffmeister, Benedikt AU - Becker, Jörg ID - 17087 T2 - Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020) TI - Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations ER - TY - JOUR AU - Beverungen, Daniel AU - Buijs, Joos C. A. M. AU - Becker, Jörg AU - Di Ciccio, Claudio AU - van der Aalst, Wil M. P. AU - Bartelheimer, Christian AU - vom Brocke, Jan AU - Comuzzi, Marco AU - Kraume, Karsten AU - Leopold, Henrik AU - Matzner, Martin AU - Mendling, Jan AU - Ogonek, Nadine AU - Post, Till AU - Resinas, Manuel AU - Revoredo, Kate AU - del-Río-Ortega, Adela AU - La Rosa, Marcello AU - Santoro, Flávia Maria AU - Solti, Andreas AU - Song, Minseok AU - Stein, Armin AU - Stierle, Matthias AU - Wolf, Verena ID - 17156 JF - Business & Information Systems Engineering SN - 2363-7005 TI - Seven Paradoxes of Business Process Management in a Hyper-Connected World ER - TY - CONF AB - To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens. AU - zur Heiden, Philipp AU - Berendes, Carsten Ingo AU - Beverungen, Daniel ID - 16285 KW - Town Center Management KW - High Street Retail KW - Recommender Systems KW - Geospatial Recommendations KW - Design Science Research T2 - Proceedings of the 15th International Conference on Wirtschaftsinformatik TI - Designing City Center Area Recommendation Systems ER - TY - JOUR AB - The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale. AU - Hoffmann, Martin W. AU - Wildermuth, Stephan AU - Gitzel, Ralf AU - Boyaci, Aydin AU - Gebhardt, Jörg AU - Kaul, Holger AU - Amihai, Ido AU - Forg, Bodo AU - Suriyah, Michael AU - Leibfried, Thomas AU - Stich, Volker AU - Hicking, Jan AU - Bremer, Martin AU - Kaminski, Lars AU - Beverungen, Daniel AU - zur Heiden, Philipp AU - Tornede, Tanja ID - 35723 IS - 7 JF - Sensors KW - Electrical and Electronic Engineering KW - Biochemistry KW - Instrumentation KW - Atomic and Molecular Physics KW - and Optics KW - Analytical Chemistry SN - 1424-8220 TI - Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions VL - 20 ER - TY - CONF AU - Wolf, Verena AU - Bartelheimer, Christian AU - Beverungen, Daniel ID - 4517 T2 - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52) TI - Digitalization of Work Systems—An Organizational Routines’ Perspective ER - TY - CONF AU - Betzing, Jan H. AU - Bartelheimer, Christian AU - Niemann, Marco AU - Berendes, Carsten Ingo AU - Beverungen, Daniel ID - 9617 T2 - Proceedings of the 27th European Conference on Information Systems (ECIS) TI - Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail ER - TY - CONF AB - Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research. AU - Wolf, Verena ID - 9708 KW - Exploration KW - Exploitation KW - Service Innovation KW - Organizational Routines KW - Ambidexterity T2 - Proceedings of the 14th International Conference on Wirtschaftsinformatik TI - Ambidexterity in Service Innovation Research: A Systematic Literature Review ER - TY - JOUR AU - Bräuer, Sebastian AU - Plenter, Florian AU - Klör, Benjamin AU - Monhof, Markus AU - Beverungen, Daniel AU - Becker, Jörg ID - 12929 JF - Business Research SN - 2198-3402 TI - Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles ER - TY - JOUR AU - Beverungen, Daniel AU - Breidbach, Christoph F. AU - Poeppelbuss, Jens AU - Tuunainen, Virpi Kristiina ID - 14023 JF - Information Systems Journal SN - 1350-1917 TI - Smart service systems: An interdisciplinary perspective ER - TY - CONF AB - The Digital Transformation alters business models in all fields of application, but not all industries transform at the same speed. While recent innovations in smart products, big data, and machine learn-ing have profoundly transformed business models in the high-tech sector, less digitalized industries—like agriculture—have only begun to capitalize on these technologies. Inspired by predictive mainte-nance strategies for industrial equipment, the purpose of this paper is to design, implement, and evaluate a predictive maintenance method for agricultural machines that predicts future defects of a machine’s components, based on a data-driven analysis of service records. An evaluation with 3,407 real-world service records proves that the method predicts damaged parts with a mean accuracy of 86.34%. The artifact is an exaptation of previous design knowledge from high-tech industries to agriculture—a sector in which machines move through rough territory and adverse weather conditions, are utilized exten-sively for short periods, and do not provide sensor data to service providers. Deployed on a platform, the prediction method enables co-creating a predictive maintenance service that helps farmers to avoid resources shortages during harvest seasons, while service providers can plan and conduct maintenance service preemptively and with increased efficiency. AU - Lüttenberg, Hedda AU - Bartelheimer, Christian AU - Beverungen, Daniel ID - 2861 TI - Designing Predictive Maintenance for Agricultural Machines ER -