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Recombinant Service Systems Engineering

Author

Listed:
  • Daniel Beverungen

    (Paderborn University)

  • Hedda Lüttenberg

    (Paderborn University)

  • Verena Wolf

    (Paderborn University)

Abstract

Although many methods have been proposed for engineering service systems and customer solutions, most of these approaches give little consideration to recombinant service innovation. Recombinant innovation refers to reusing and integrating resources that were previously unconnected. In an age of networked products and data, we can expect that many service innovations will be based on adding, dissociating, and associating existing value propositions by accessing internal and external resources instead of designing them from scratch. The purpose of this paper is to identify if current service engineering approaches account for the mechanisms of recombinant innovation and to design a method for recombinant service systems engineering. In a conceptual analysis of 24 service engineering methods, the study identified that most methods (1) focus on designing value propositions instead of service systems, (2) view service independent of physical goods, (3) are either linear or iterative instead of agile, and (4) do not sufficiently address the mechanisms of recombinant innovation. The paper discusses how these deficiencies can be remedied and designs a revised service systems engineering approach that reorganizes service engineering processes according to four design principles. The method is demonstrated with the recombinant design of a service system for predictive maintenance of agricultural machines.

Suggested Citation

  • Daniel Beverungen & Hedda Lüttenberg & Verena Wolf, 2018. "Recombinant Service Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(5), pages 377-391, October.
  • Handle: RePEc:spr:binfse:v:60:y:2018:i:5:d:10.1007_s12599-018-0526-4
    DOI: 10.1007/s12599-018-0526-4
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    References listed on IDEAS

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    Cited by:

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    2. Daniel Beverungen & Thomas Hess & Antonia Köster & Christiane Lehrer, 2022. "From private digital platforms to public data spaces: implications for the digital transformation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 493-501, June.
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    4. Jürgen Anke & Jens Poeppelbuss & Rainer Alt, 2020. "It Takes More than Two to Tango: Identifying Roles and Patterns in Multi-Actor Smart Service Innovation," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(4), pages 599-634, October.
    5. Chunting Liu & Guozhu Jia & Jili Kong, 2020. "Requirement-Oriented Engineering Characteristic Identification for a Sustainable Product–Service System: A Multi-Method Approach," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    6. Jens Poeppelbuss & Martin Ebel & Jürgen Anke, 2022. "Iterative uncertainty reduction in multi-actor smart service innovation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 599-627, June.

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