Understanding the implications of artificial intelligence on field service operations: a case study of BT

Wang, Yingli ORCID: https://orcid.org/0000-0001-5630-9558, Skeete, Jean-Paul ORCID: https://orcid.org/0000-0003-2404-2910 and Owusu, Gilbert 2022. Understanding the implications of artificial intelligence on field service operations: a case study of BT. Production Planning and Control 33 (16) , pp. 1591-1607. 10.1080/09537287.2021.1882694

Preview

PDF - Accepted Post-Print Version Download (509kB) | Preview

Abstract

Driven by insufficient empirical research and understanding about AI deployment in operations management, we set out to explore the implications of AI on field service operations. Via an in-depth case study of four AI initiatives across a time span of 20 years at BT telecommunications, we explored the answers to the following two research questions (RQs): RQ1: How has the deployment of artificial agents affected the operational efficiency of the organisation? And RQ2: What are the critical success factors (CSFs) of AI deployment? Our study found that having a standard TRL protocol, a people-centric approach, as well as establishing a portfolio of AI initiatives are instrumental to BT’s success. We also identified a range of other CSFs that were essential to the successful deployment of AI in BT’s field service operations. This paper therefore contributes to the timely and emerging sociotechnical debates around the real-world implications of AI deployment within organisations.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Taylor & Francis
ISSN:	0953-7287
Date of First Compliant Deposit:	14 April 2020
Date of Acceptance:	9 April 2020
Last Modified:	11 Nov 2024 14:00
URI:	https://orca.cardiff.ac.uk/id/eprint/130971

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item