Digital transformation in firms: determinants of technology adoption and implications for performance

Silvia Massini (silvia.massini@manchester.ac.uk), Mabel Sanchez Barrioluengo (msbarrioluengo@manchester.ac.uk), Xiaoxiao Yu (xiaoxiao.yu@manchester.ac.uk) and Reza Salehnejad (reza.salehnejad@manchester.ac.uk)
Additional contact information
Silvia Massini: Manchester Institute of Innovation Research, The University of Manchester
Mabel Sanchez Barrioluengo: Manchester Institute of Innovation Research, The University of Manchester
Xiaoxiao Yu: Manchester Institute of Innovation Research, The University of Manchester
Reza Salehnejad: Manchester Institute of Innovation Research, The University of Manchester

No 2024-01, MIOIR Working Paper Series from The Manchester Institute of Innovation Research (MIoIR), The University of Manchester

Abstract: Advanced digital technologies (DTs) such as AI, Big Data, Cloud Computing, 3D printing, IoT, and Robotics are known for their potential to be pervasive and generate disruptive change. Despite this, there is limited evidence regarding the factors that motivate or hinder technology adoption. This study, based on an original survey of firms in Greater Manchester, aims to shed light on the determinants of DT adoption, including underlying motivations, potential barriers, and skills deficits. Additionally, it explores the influence of digitalisation and skills on firms‘ performance. Our results suggest that while different DTs are at varying stages of technology diffusion, they are characterised by complementarity and are often jointly adopted. Furthermore, the adoption of DTs in SMEs and younger firms, coupled with the presence of appropriate (digital and non-digital) skills, constitutes a pivotal synergy that significantly influences firms' productivity levels.

Keywords: Digital transformation; Adoption; Skills; Motivations; Barriers; Productivity; Firms (search for similar items in EconPapers)
Pages: 45 pages
Date: 2024-01
New Economics Papers: this item is included in nep-eff, nep-ict, nep-sbm and nep-tid
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