Faisal Rashed ©Faisal Rashed



26. Nov

Im Rahmen des Forschungskolloquiums Wirtschaftsinformatik und Data Science referiert Faisal Rashed, externer Doktorand an der Universität Cambridge, über "a reference model for data-driven business model innovation".


In the past decade, we have witnessed the rise of big data analytics to a well-established phenomenon in business and academic fields. Novel opportunities appear for organizations to maximize the value from data through improved decision making, enhanced value propositions and new business models. The latter two are investigated by scholars as part of an emerging research field of data-driven business model (DDBM) innovation. Aiming to deploy DDBM innovation, companies either renovate their existing BM or develop a new DDBM. Responding to the recent calls for further research on design knowledge for DDBM innovation, we developed a reference model for DDBM innovation. Building upon a design science research approach and the Work System Theory as a kernel theory, we identified seven design principles for DDBM innovation and propose a reference model comprising a static and a dynamic view. Our results are based on a research study with empirical insights from 18 companies, 19 cases and 16 expert interviews as well as theoretical grounding from a systematic literature research on key concepts of DDBM innovation. By deriving the design principles and applying them to develop a reference model, we fill the gap in the literature on DDBM innovation and provide guidance for companies.

Der Vortrag läuft ab 12:15 Uhr  über Zoom:


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