The impact of the Internet of Things (IoT) on servitization: an exploration of changing supply relationships

Boehmer, Julius H.; Shukla, Manish; Kapletia, Dharm; Tiwari, Manoj Kumar

Abstract

This research paper explores the emerging potential of IoT technology as an enabler for manufacturers seeking to exploit opportunities for new production, business and operating models. Following an analysis of extant literature and exploration of four in-depth cases, the paper presents four dominant pathways to servitizing the business model through IoT implementation. This first finding is extended in the cross-case analysis, through a categorization of cases into the four pathways, comparing different levels of supplier integration and information exchange. Using this data and categorizations, the paper arrives at certain theoretical propositions regarding the wider impact of IoT technology implementation on information exchange and relational rents through self-enforcing safeguards, risk and financial incentive sharing and lastly transaction cost economics. These propositions lead to the recommendation for suppliers to adopt a servitization pathway of ‘operational service’ models, in order to reap maximum competitive benefit and return on specific investments. This suggests a dependence on the servitization pathway chosen by the supplier, implying that there is no single solution to deal with buyer-supplier relationships in IoT servitization environments.

Citation

Boehmer, J. H., Shukla, M., Kapletia, D., & Tiwari, M. K. (2020). The impact of the Internet of Things (IoT) on servitization: an exploration of changing supply relationships. Production Planning and Control, 31(2-3), 203-219. https://doi.org/10.1080/09537287.2019.1631465

• Journal Article Type: Article
• Acceptance Date: Oct 3, 2018
• Online Publication Date: Dec 3, 2019
• Publication Date: Feb 17, 2020
• Deposit Date: May 28, 2020
• Journal: Production Planning & Control
• Print ISSN: 0953-7287
• Electronic ISSN: 1366-5871
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2-3
• Pages: 203-219
• DOI: https://doi.org/10.1080/09537287.2019.1631465
• Keywords: Management Science and Operations Research; Strategy and Management; Industrial and Manufacturing Engineering; Computer Science Applications
• Public URL: https://uwe-repository.worktribe.com/output/5607139
• Additional Information: Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tppc20; Received: 2018-06-01; Accepted: 2018-10-03; Published: 2019-12-03