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Digital transformation of industrial businesses: A dynamic capability approach

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  • Ghosh, Swapan
  • Hughes, Mat
  • Hodgkinson, Ian
  • Hughes, Paul

Abstract

Industrial firms are under severe pressure to undertake digital transformation and leverage the Industrial Internet of Things (IIoT) and emerging technologies for the integration of industrial machines to share information on a real-time or near real-time basis. Though in recent years researchers have focused their attention on digital transformation, there is limited scholarly guidance for developing capabilities for such transformation. Drawing on dynamic capability theory and exploratory qualitative interviews with senior ‘elite’ executives from five of the world's largest multinational firms, the study outlines a new conceptual framework for digital transformative capability development. The integrative framework demonstrates how the three core capabilities of digital sensing, digital seizing, and digital reconfiguring manifest through associated capabilities of Strategic Sensing, Rapid Prototyping, Organization Structure, Business Model Transformation, and Cultural/Mindset Transformation. Internal and external contingencies are proposed as moderators of the relationship between IIoT and emerging technologies, and digital transformative capability development. Collectively, the article makes the case for Digital Transformation Capability and sheds new light on the digital transformation process. Implications for theory and practice are highlighted, and limitations are discussed.

Suggested Citation

  • Ghosh, Swapan & Hughes, Mat & Hodgkinson, Ian & Hughes, Paul, 2022. "Digital transformation of industrial businesses: A dynamic capability approach," Technovation, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:techno:v:113:y:2022:i:c:s0166497221001954
    DOI: 10.1016/j.technovation.2021.102414
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