Capturing the Benefits of Industry 4.0: A Business Network Perspective


This study uses a business network perspective to investigate the industry 4.0 context with the internet of things (IoT) as its enabling technology and product-use data as its core network resource. A three-stage qualitative methodology (interviews, focus group, Delphi-based inquiry) was used to examine the case of an emergent IoT-based business network in the UK road transport industry to examine: (i) how aspects of product use data influence the benefit opportunities the data provide to the different network actors; (ii) how capturing of the benefit opportunities in a network context is impacted by key barriers; and (iii) how network capabilities can overcome these barriers to capture benefits from product-use data. The study, thereby, contributes to an understanding of the industry 4.0 context from a resource dependency theory perspective and provides concrete recommendations for management operating in this context.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School > Advanced Services Group
College of Business and Social Sciences > Aston Business School
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Production Planning and Control on 15 May 2019, available online at:
Uncontrolled Keywords: Industry 4.0,business network,industrial internet,internet of things (IoT),resource dependence,Computer Science Applications,Strategy and Management,Management Science and Operations Research,Industrial and Manufacturing Engineering
Publication ISSN: 1366-5871
Last Modified: 13 May 2024 07:24
Date Deposited: 30 Apr 2019 14:35
Full Text Link:
Related URLs: https://www.tan ... 87.2019.1612111 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-12-10
Published Online Date: 2019-05-15
Accepted Date: 2019-04-14
Authors: Schroeder, Andreas (ORCID Profile 0000-0002-4051-9275)
Ziaee Bigdeli, Ali (ORCID Profile 0000-0002-8128-0918)
Galera Zarcos, Carlos
Baines, Timothy S (ORCID Profile 0000-0002-7518-2967)



Version: Accepted Version

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