Resistance to Innovation: A Dynamic Capability Model Based Enquiry into Retailers' Resistance to Blockchain Adaptation

Yogesh K. Dwivedi, J. Balakrishnan, R. Das and Vincent Dutot ()
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Yogesh K. Dwivedi: Swansea University, School of CS&IT, Jain Deemed-to-be University, Bangalore, India
Vincent Dutot: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the conceptual model. The study used a single cross-sectional design to investigate the proposed model with data collected from 360 retailers. The data were analysed using structural equation modelling estimated with the maximum likelihood model. The study's results showed that the threat of data ownership is the most significant factor that builds resistance towards blockchain, followed by threat severity. The results also showed that managerial capability and innovation capability could indirectly influence the relationship of IRT variables to resistance towards blockchain. The research extends the knowledge in the blockchain and contributes to relevant literature and business practitioners concerned with the results. \textcopyright 2022

Keywords: Blockchain resistance; Innovation capability; Managerial capability; The threat of data ownership (search for similar items in EconPapers)
Date: 2023
Note: View the original document on HAL open archive server: https://hal.science/hal-04292611v1
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Citations: View citations in EconPapers (3)

Published in Journal of Business Research, 2023, 157, ⟨10.1016/j.jbusres.2022.113632⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04292611

DOI: 10.1016/j.jbusres.2022.113632

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