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European, Mediterranean, and Middle Eastern Conference on Information Systems

EMCIS 2018: Information Systems pp 38–43Cite as

Continuance Intention in Blockchain-Enabled Supply Chain Applications: Modelling the Moderating Effect of Supply Chain Stakeholders Trust

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

Abstract

If blockchain technologies are emerging as important game changers in the supply chain, this is largely attributed to their high operational and strategic business value. While this high potential is acknowledged by the practitioner’s literature, very few empirical studies have been conducted on the factors explaining the adoption, use and continuance of blockchain-enabled supply chain applications. To fill this knowledge gap, this study extended the expectation-confirmation model (ECM) by integrating the supply chain stakeholders trust to analyze to the continuance intention in blockchain-enabled supply chain applications. The proposed model was tested and supported by the data collected among 344 supply chain professionals in India. The paper ends up with the formulation of important implications for practice and research.

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Author information

Authors and Affiliations

  1. Toulouse Business School, Toulouse, France

    Samuel Fosso Wamba

Authors
  1. Samuel Fosso Wamba
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Correspondence to Samuel Fosso Wamba .

Editor information

Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Fosso Wamba, S. (2019). Continuance Intention in Blockchain-Enabled Supply Chain Applications: Modelling the Moderating Effect of Supply Chain Stakeholders Trust. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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