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Antecedents of blockchain technology adoption intentions in the supply chain

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  • Ashutosh Sheel
  • Vishnu Nath

Abstract

Supply chain involves a lot of transactions among the stakeholders. Blockchain technology will make a revolutionary change the way how transactions are being carried out. Blockchain removes all the disadvantages which are related to trust among stakeholders and gives better visibility and transparency. The present study explores factors that affect blockchain technology adoption in the supply chain. The current study is based on the extended unified theory of acceptance and use of technology (UTAUT2) with trust model. Data was collected from 363 supply chain practitioners from India. The results of the present study indicate that behavioural intentions are positively and significantly influenced by performance expectancy, effort expectancy, hedonic motivation, price value, and trust. The study also lists out various aspects for future research regarding the implementation of blockchain in supply chain management.

Suggested Citation

  • Ashutosh Sheel & Vishnu Nath, 2020. "Antecedents of blockchain technology adoption intentions in the supply chain," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 21(4), pages 564-584.
  • Handle: RePEc:ids:ijbire:v:21:y:2020:i:4:p:564-584
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    Citations

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    Cited by:

    1. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    2. Jacob Lohmer & Elias Ribeiro da Silva & Rainer Lasch, 2022. "Blockchain Technology in Operations & Supply Chain Management: A Content Analysis," Sustainability, MDPI, vol. 14(10), pages 1-88, May.
    3. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    4. Yan Shi & Abu Bakkar Siddik & Mohammad Masukujjaman & Guangwen Zheng & Muhammad Hamayun & Abdullah Mohammed Ibrahim, 2022. "The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory," Sustainability, MDPI, vol. 14(11), pages 1-23, May.

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