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Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA
Abstract
Abstract The digitalization phenomenon is leveraging new relationship models through the entire supply chain network. In this outlook, blockchain is a cutting-edge technology that is already transforming and remodeling the relationships between all members of logistics and supply chain systems. Yet, while studies on blockchain have gained a relative pace over the recent years, the literature on this topic does not report sufficient research cases on blockchain adoption behavior at the individual level. The present study, therefore, aims to bridge this gap, notably by helping understand the individual blockchain adoption behavior in the logistics and supply chain field in India and the USA. Drawing on the emerging literature on blockchain, supply chain and network theory, as well as on technology acceptance models (TAMs), we have developed a model based on a slightly-altered version of the classical unified theory of acceptance and use of technology (UTAUT). The model being developed was then estimated using the Partial least squares structural equation modeling (PLS-SEM). As the model was eventually supported, the results obtained revealed the existence of distinct adoption behaviors between India-based and USA-based professionals. In parallel, the findings appear as a useful contribution to and a sign of progress for the literature on IT adoption, SCM, and blockchain.
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“…can explain and predict intention to use ITs in organizational contexts, which has been empirically demonstrated by various prior studies (e.g. Brown et al., 2010; Hong et al., 2011; Hossain et al., 2019; Queiroz and Fosso Wamba, 2019; Shibl et al., 2013; Wang et al., 2014; Yueh et al., 2016).”
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Metadata
- Authors
- Queiroz, M. M., & Fosso Wamba, S.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 46
- Pages
- 70-82
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2903429044
- Cited by
- 1,079
- References
- 30
- FWCI
- 105.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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