HOW THE INDUSTRIAL INTERNET OF THINGS CHANGES BUSINESS MODELS IN DIFFERENT MANUFACTURING INDUSTRIES

Christian Arnold, Daniel Kiel () and Kai-Ingo Voigt ()
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Christian Arnold: Friedrich-Alexander University Erlangen-Nürnberg, Chair of Industrial Management, Lange Gasse 20, 90403 Nürnberg, Germany
Daniel Kiel: Friedrich-Alexander University Erlangen-Nürnberg, Chair of Industrial Management, Lange Gasse 20, 90403 Nürnberg, Germany
Kai-Ingo Voigt: Friedrich-Alexander University Erlangen-Nürnberg, Chair of Industrial Management, Lange Gasse 20, 90403 Nürnberg, Germany

International Journal of Innovation Management (ijim), 2016, vol. 20, issue 08, 1-25

Abstract: The Industrial Internet of Things (IIoT) poses large impacts on business models (BM) of established manufacturing companies within several industries. Thus, this paper aims at analyzing the influence of the IIoT on these BMs with particular respect to differences and similarities dependent on varying industry sectors. For this purpose, we employ an exploratory multiple case study approach based on semi-structured expert interviews in 69 manufacturing companies from the five most important German industries. Owing the lack of previous research, our study contributes to the current state of management literature by revealing the following valuable insights with regard to industry-specific BM changes: The machine and plant engineering companies are mainly facing changing workforce qualifications, the electrical engineering and information and communication technology companies are particularly concerned with the importance of novel key partner networks, and automotive suppliers predominantly exploit IIoT-inherent benefits in terms of an increasing cost efficiency.

Keywords: Industrial Internet of Things; Industrie 4.0; business model; business model innovation; expert interviews; multiple case study; qualitative study; manufacturing companies; German industry sectors (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (68)

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DOI: 10.1142/S1363919616400156

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