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Digitale Dienstleistungsinnovationen pp 167–183Cite as

Geschäftsmodelle 4.0

Big Data und Data-Analytics als Treiber für Dienstleistungsinnovation im deutschen Mittelstand

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Zusammenfassung

Die Nutzung interner und externer Daten zur Generierung von Mehrwert für Kunden stellt eine der wichtigsten Entwicklungen der Digitalisierung dar. Neue Möglichkeiten und Potenziale der Gestaltung von Geschäftsmodellen ergeben sich auf Basis von Weiterentwicklungen in den Bereichen der Datenauswertung (Data-Analytics) und der Verwendung großer Datenmengen (Big Data). Kleine und mittlere Unternehmen (KMU) können sich jedoch meist operativ nicht mit den erwähnten Potenzialen beschäftigen, da diese Unternehmen oft keine eigenständigen Abteilungen mit dem Fokus auf Dienstleistungsinnovation besitzen. Zudem sind die Märkte für datenbasierte Dienstleistungsangebote noch vergleichsweise jung und erforderliches Wissen sowie ausgebaute Schnittstellen zu wissenschaftlichen Einrichtungen oft nicht vorhanden. Das Forschungsprojekt „BigDieMo – Big-Data-Dienstleistungsgeschäftsmodelle“ dient dem Ziel, KMU bei der Gestaltung datenbasierter Dienstleistungen zu unterstützen. Hierfür werden im ersten Schritt die Besonderheiten und Herausforderungen derartiger Geschäftsmodelle herausgearbeitet und anschaulich dargestellt. Im zweiten Schritt wird ein neuer Innovationsprozess erarbeitet, der diesen Besonderheiten Rechnung trägt. Mit dessen Hilfe ist es KMU nun möglich, die Entwicklung datenbasierter Geschäftsmodelle gezielt für ihr Geschäft auf Basis eines einheitlichen Vorgehens voranzutreiben. Innerhalb dieses neuen Innovationsprozesses werden den Unternehmen neu entwickelte methodische Werkzeuge bereitgestellt, die diese bei der Erarbeitung neuer Geschäftsmodelle unterstützen. Der methodische Baukasten leistet einen wichtigen Beitrag dazu, dass KMU auch in Zeiten des digitalen Wandels ihre Wettbewerbsfähigkeit erhalten können.

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Literatur

  • Alghisi, A., & Saccani, N. (2015). Internal and external alignment in the servitization journey – Overcoming the challenges. Production Planning & Control, 26(14–15), 1219–1232.

    Article  Google Scholar 

  • Baines, T., Lightfoot, H., Benedettini, O., Whitney, D., & Kay, J. (2010). The adoption of servitization strategies by UK-based manufacturers. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 224(5), 815–829.

    Article  Google Scholar 

  • Baines, T., Bigdeli, Z., Bustinza, O., Shi, V., Baldwin, J., & Ridgway, K. (2017). Servitization: Revisiting the state-of-the-art and research priorities. International Journal of Operations & Production Management, 37(2), 256–278.

    Article  Google Scholar 

  • Blomqvist, K., & Levy, J. (2006). Collaboration capability – A focal concept in knowledge creation and collaborative innovation in networks. International Journal of Management Concepts and Philosophy, 2(1), 31–48.

    Article  Google Scholar 

  • Böhmann, T., Leimeister, J. M., & Möslein, K. (2014). Service systems engineering. Business & Information Systems Engineering, 6(2), 73–79.

    Article  Google Scholar 

  • Brax, S. (2005). A manufacturer becoming service provider – Challenges and a paradox. Managing Service Quality, 15(2), 142–155.

    Article  Google Scholar 

  • Chen, Y., Kreulen, J., Campbell, M., & Abrams, C. (2011). Analytics ecosystem transformation: A force for business model innovation. In 2011 Annual SRII Global Conference (S. 11–20). https://ieeexplore.ieee.org/abstract/document/5958068/.

  • Chen, C. P., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Sciences, 275, 314–347.

    Article  Google Scholar 

  • Coreynen, W., Matthyssens, P., & Van Bockhaven, W. (2017). Boosting servitization through digitization: Pathways and dynamic resource configurations for manufacturers. Industrial Marketing Management, 60(January), 42–53.

    Article  Google Scholar 

  • Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64.

    Google Scholar 

  • Grubic, T. (2014). Servitization and remote monitoring technology. Journal of Manufacturing Technology Management, 25(1), 100–124.

    Article  Google Scholar 

  • Hartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2016). Capturing value from big data – A taxonomy of data-driven business models used by start-up firms. International Journal of Operations & Production Management, 36(10), 1382–1406.

    Article  Google Scholar 

  • Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.

    Article  Google Scholar 

  • Höckmayr, B., & Roth, A. (2017). Design of a method for service systems engineering in the digital age. In Proceedings of the 38th International Conference On Information Systems (ICIS), Seoul, South Korea, (S. 1119–1142). https://aisel.aisnet.org/icis2017/ServiceScience/Presentations/8/.

  • Hunke, F., Seebacher, S., Schüritz, R., & Illi, A. (2017). Towards a process model for data-driven business model innovation. In B. Theodoulidis (Hrsg.), Proceedings of the 19th IEEE Conference on Business Informatics (CBI), Thessaloniki, Greece (S. 150–157). https://ieeexplore.ieee.org/document/8010717/.

  • Hunke, F., & Wambsganß, T. (2017). Turning data into value – Towards an ideation tool for key activities of data-driven business models. In Proceedings of the 3rd Karlsruhe Service Summit (KSS), Karlsruhe, Germany (o. S.). https://www.researchgate.net/publication/320466766_Turning_Data_into_Value_Towards_an_Ideation_Tool_for_Key_Activities_of_Data-Driven_Business_Models.

  • Jonas, J., & Roth, A. (2017). Stakeholder integration in service innovation – An exploratory case study in the healthcare industry. International Journal of Technology Management, 73(1–3), 91–113.

    Article  Google Scholar 

  • Jonas, J. M., Roth, A., & Möslein, K. M. (2016). Stakeholder integration for service innovation in German medium-sized enterprises. Service Science, 8(3), 320–332.

    Article  Google Scholar 

  • Kahn, K., & Mentzer, J. (1996). Logistics and interdepartmental integration. International Journal of Physical Distribution & Logistics Management, 26(8), 6–14.

    Article  Google Scholar 

  • Kazadi, K., Lievens, A., & Mahr, D. (2015). Stakeholder co-creation during the innovation process: Identifying capabilities for knowledge creation among multiple stakeholders. Journal of Business Research, 69(2), 525–540.

    Article  Google Scholar 

  • LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52(2), 21.

    Google Scholar 

  • Lightfoot, H., Baines, T., & Smart, P. (2013). The servitization of manufacturing. International Journal of Operations & Production Management, 33(11), 1408–1434.

    Article  Google Scholar 

  • Martinez, V., Bastl, M., Kingston, J., & Evans, S. (2010). Challenges in transforming manufacturing organisations into product-service providers. Journal of Manufacturing Technology Management, 21(4), 449–469.

    Article  Google Scholar 

  • Matthyssens, P., & Vandenbempt, K. (2010). Service addition as business market strategy: Identification of transition trajectories. Journal of Service Management, 21(5), 693–714.

    Article  Google Scholar 

  • Neely, A. (2008). Exploring the financial consequences of the servitization of manufacturing. Operations Management Research, 1(2), 103–118.

    Article  Google Scholar 

  • Oks, S. J., Fritzsche, A., & Lehmann, C. (2016). The digitalisation of industry from a strategic perspective. In R&D management conference 2016, „From Science to Society: Innovation and Value Creation“. Cambridge, United Kingdom (o. S.). https://www.researchgate.net/publication/305680811_The_digitalisation_of_industry_from_a_strategic_perspective.

  • Oliva, R., & Kallenberg, R. (2003). Managing the transition from products to services. International Journal of Service Industry Management, 14(2), 160–172.

    Article  Google Scholar 

  • Ommen, N. O., Blut, M., Backhaus, C., & Woisetschläger, D. M. (2016). Toward a better understanding of stakeholder participation in the service innovation process: More than one path to success. Journal of Business Research, 69(7), 2409–2416.

    Article  Google Scholar 

  • Opresnik, D., & Taisch, M. (2015). The value of Big Data in servitization. International Journal of Production Economics, 165, 174–184.

    Article  Google Scholar 

  • Porter, M., & Heppelmann, J. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 1–23.

    Google Scholar 

  • Porter, M., & Heppelmann, J. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96–114.

    Google Scholar 

  • Sawhney, M., Balasubramanian, S., & Krishnan, V. (2004). Creating growth with services. MIT Sloan Management Review, 45(2), 34.

    Google Scholar 

  • Schüritz, R., & Satzger, G. (2016). Patterns of data-infused business model innovation. In Proceedings of the 18th IEEE Conference on Business Informatics (CBI), Paris, France, (S. 133–142). https://ieeexplore.ieee.org/document/7780308/.

  • Schüritz, R., Seebacher, S., Satzger, G., & Schwarz, L. (2017). Datatization as the next frontier of servitization – Understanding the challenges for transforming organizations. In Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea, (S. 1098–1118). https://aisel.aisnet.org/icis2017/ServiceScience/Presentations/5/.

  • Srivastava, J., Cooley, R., Deshpande, M., & Tan, P.-N. (2000). Web usage mining: Discovery and applications of usage patterns from web data. ACM SIGKDD Explorations Newsletter, 1(2), 12–23.

    Article  Google Scholar 

  • Story, V. M., Raddats, C., Burton, J., Zolkiewski, J., & Baines, T. (2017). Capabilities for advanced services: A multi-actor perspective. Industrial Marketing Management, 60(January), 54–68.

    Article  Google Scholar 

  • Windahl, C., & Lakemond, N. (2006). Developing integrated solutions: The importance of relationships within the network. Industrial Marketing Management, 35(7), 806–818.

    Article  Google Scholar 

  • Wixom, B. H., & Ross, J. W. (2017). How to monetize your data? MIT Sloan Management Review, 58(3, Spring), o. S. https://sloanreview.mit.edu/article/how-to-monetize-your-data/.

  • Zolnowski, A., Weiß, C., & Böhmann, T. (2014). Representing service business models with the service business model canvas – The case of a mobile payment service in the retail industry. In Proceedings of 47th Hawaii International Conference on System Sciences (HICSS), Waikoloa, (S. 718–727). https://www.computer.org/csdl/proceedings/hicss/2014/2504/00/2504a718.pdf.

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Authors and Affiliations

  1. Karlsruher Institut für Technologie, Karlsruhe, Deutschland

    Fabian Hunke, Stefan Seebacher, Ronny Schüritz & Gerhard Satzger

  2. Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland

    Martin Schymanietz, Julia Jonas, Stefan Genennig & Kathrin Möslein

  3. Universität Hamburg, Hamburg, Deutschland

    Babett Kühne & Tilo Böhmann

Authors
  1. Fabian Hunke
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  2. Stefan Seebacher
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  3. Martin Schymanietz
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  4. Julia Jonas
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  5. Stefan Genennig
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  6. Babett Kühne
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  7. Ronny Schüritz
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  8. Gerhard Satzger
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  9. Kathrin Möslein
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  10. Tilo Böhmann
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Corresponding author

Correspondence to Fabian Hunke .

Editor information

Editors and Affiliations

  1. FIR e. V. an der RWTH Aachen, Aachen, Nordrhein-Westfalen, Germany

    Volker Stich

  2. Lehrstuhl für BWL, Schwerpunkt Market, Universität Passau, Passau, Bayern, Germany

    Jan Hendrik Schumann

  3. Fakultät für Wiwi – Wirtschaftsinformatik, Universität Paderborn, Paderborn, Nordrhein-Westfalen, Germany

    Daniel Beverungen

  4. Business Transformation, FIR e. V. an der RWTH Aachen, Aachen, Nordrhein-Westfalen, Germany

    Gerhard Gudergan

  5. Dienstleistungsmanagement, FIR e. V. an der RWTH Aachen, Aachen, Nordrhein-Westfalen, Germany

    Philipp Jussen

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Hunke, F. et al. (2019). Geschäftsmodelle 4.0. In: Stich, V., Schumann, J., Beverungen, D., Gudergan, G., Jussen, P. (eds) Digitale Dienstleistungsinnovationen. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59517-6_9

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  • DOI: https://doi.org/10.1007/978-3-662-59517-6_9

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

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  • Online ISBN: 978-3-662-59517-6

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