Socio-technical capabilities for blockchain implementation by service providers: multiple case study of projects with transaction time reduction and quality improvement objectives

Chaudhuri, Atanu; Bhatia, Manjot Singh; Subramanian, Nachiappan; Kayikci, Yasanur; Dora, Manoj

Abstract

The objectives of this paper are to analyse how blockchain can help in transaction time reduction and quality improvement in supply chains. It also aims to identify the social and technical capabilities needed by the service providers for blockchain implementation and how those capabilities vary between the projects. To achieve the above mentioned objectives, a multiple case study approach is followed, and data are collected from the service providers that have implemented blockchain technology with their customers. We conduct task-technology fit (TTF) analysis to assess the suitability of blockchain to address the tasks to be completed, considering customer needs. The TTF analysis shows that some additional technological solutions related to communication support and user experience design need to be implemented together with the blockchain platform. We then identify common social and technical capabilities, such as empathising with customers and system design, to facilitate implementation and contingent capabilities that vary across different types of blockchain implementation projects. We also develop a process model, a generalisable framework for blockchain implementation and related propositions. The findings from this study will provide guidance to the blockchain service providers to emphasise social and technical capabilities for quality improvement and transaction time reduction from blockchain implementation.

Citation

Chaudhuri, A., Bhatia, M. S., Subramanian, N., Kayikci, Y., & Dora, M. (2024). Socio-technical capabilities for blockchain implementation by service providers: multiple case study of projects with transaction time reduction and quality improvement objectives. Production Planning and Control, 35(9), 978-991. https://doi.org/10.1080/09537287.2022.2128865

• Journal Article Type: Article
• Acceptance Date: Sep 19, 2022
• Online Publication Date: Oct 10, 2022
• Publication Date: 2024
• Deposit Date: Sep 20, 2022
• Publicly Available Date: Nov 9, 2022
• Journal: Production Planning & Control
• Print ISSN: 0953-7287
• Electronic ISSN: 1366-5871
• Publisher: Taylor and Francis Group
• Peer Reviewed: Peer Reviewed
• Volume: 35
• Issue: 9
• Pages: 978-991
• DOI: https://doi.org/10.1080/09537287.2022.2128865
• Public URL: https://durham-repository.worktribe.com/output/1191515