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

Author

Listed:
  • Silvia Massini
  • Mabel Sanchez-Barrioluengo
  • Xiaoxiao Yu
  • Reza Salehnejad

Abstract

This study provides firm-level evidence of the adoption of advanced digital technologies (DTs) in Greater Manchester. Examining the drivers and impact of six technologies, namely AI, Big Data, Cloud Computing, 3D-printing, IoT and Robotics. Using random forest models, a predictive machine learning technique, the findings suggest that a disaggregated approach is necessary to analyse and understand DT adoption. This paper argues that while firms’ contextual factors, which include size, age, and turnover, are important for successful digital transformation, firms must combine the adoption of DTs with relevant digital skills to allow companies to turn technological investments into productivity gains.

Suggested Citation

  • Silvia Massini & Mabel Sanchez-Barrioluengo & Xiaoxiao Yu & Reza Salehnejad, 2026. "Digital transformation in Greater Manchester: determinants of technology adoption and implications for firms’ performance," Spatial Economic Analysis, Taylor & Francis Journals, vol. 21(3), pages 495-511, July.
    • Handle: RePEc:taf:specan:v:21:y:2026:i:3:p:495-511
    DOI: 10.1080/17421772.2026.2662375
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