Artikel

Iterative uncertainty reduction in multi-actor smart service innovation

Smart service innovation is the process of reconfiguring resources, structures, and value co-creation processes in service systems that result in novel data-driven service offerings. The nature of such offerings requires the involvement of multiple actors, which has been investigated by a few studies only. In particular, little is known about the multiple actors' efforts to manage uncertainty in the process of establishing smart service systems. Empirically grounded in data from 25 interviews with industry experts, we explore how organizations act and interact in smart service innovation processes. For our data analysis, we adopt a microfoundational view to derive a theoretical model that conceptualizes actor engagement as a microfoundation for iterative uncertainty reduction in the actor-to-actor network of the smart service system. Our study contributes to information systems research on service systems engineering and digital transformation by explaining smart service innovation from both a multi-actor and a multi-level perspective, drawing on service-dominant (S-D) logic and microfoundations as well-established theoretical lenses.

Language
Englisch

Bibliographic citation
Journal: Electronic Markets ; ISSN: 1422-8890 ; Volume: 32 ; Year: 2021 ; Issue: 2 ; Pages: 599-627 ; Berlin, Heidelberg: Springer

Classification
Ingenieurwissenschaften und Maschinenbau
IT Management
Information and Internet Services; Computer Software
IT Management
Management of Technological Innovation and R&D
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
Subject
Service system
Digital transformation
Microfoundations
S-D logic
Actor engagement

Event
Geistige Schöpfung
(who)
Poeppelbuss, Jens
Ebel, Martin
Anke, Jürgen
Event
Veröffentlichung
(who)
Springer
(where)
Berlin, Heidelberg
(when)
2021

DOI
doi:10.1007/s12525-021-00500-4
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Poeppelbuss, Jens
  • Ebel, Martin
  • Anke, Jürgen
  • Springer

Time of origin

  • 2021

Other Objects (12)