Technovation_Ghosh et al_LUPIN_2021.pdf (619.57 kB)
Digital transformation of industrial businesses: a dynamic capability approach
journal contribution
posted on 2021-12-06, 11:56 authored by Swapan Ghosh, Mathew Hughes, Ian HodgkinsonIan Hodgkinson, Paul HughesIndustrial 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.
History
School
- Business and Economics
Department
- Business
Published in
TechnovationVolume
113Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Technovation and the definitive published version is available at https://doi.org/10.1016/j.technovation.2021.102414.Acceptance date
2021-11-03Publication date
2021-11-10Copyright date
2021ISSN
0166-4972Publisher version
Language
- en