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The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency

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  • Kristoffer Francisco

    (Department of Marketing & Logistics, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, USA)

  • David Swanson

    (Department of Marketing & Logistics, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, USA)

Abstract

Blockchain technology, popularized by Bitcoin cryptocurrency, is characterized as an open-source, decentralized, distributed database for storing transaction information. Rather than relying on centralized intermediaries (e.g., banks) this technology allows two parties to transact directly using duplicate, linked ledgers called blockchains. This makes transactions considerably more transparent than those provided by centralized systems. As a result, transactions are executed without relying on explicit trust [of a third party], but on the distributed trust based on the consensus of the network (i.e., other blockchain users). Applying this technology to improve supply chain transparency has many possibilities. Every product has a long and storied history. However, much of this history is presently obscured. Often, when negative practices are exposed, they quickly escalate to scandalous, and financially crippling proportions. There are many recent examples, such as the exposure of child labor upstream in the manufacturing process and the unethical use of rainforest resources. Blockchain may bring supply chain transparency to a new level, but presently academic and managerial adoption of blockchain technologies is limited by our understanding. To address this issue, this research uses the Unified Theory of Acceptance and Use of Technology (UTAUT) and the concept of technology innovation adoption as a foundational framework for supply chain traceability. A conceptual model is developed and the research culminates with supply chain implications of blockchain that are inspired by theory and literature review.

Suggested Citation

  • Kristoffer Francisco & David Swanson, 2018. "The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency," Logistics, MDPI, vol. 2(1), pages 1-13, January.
  • Handle: RePEc:gam:jlogis:v:2:y:2018:i:1:p:2-:d:125626
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    References listed on IDEAS

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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Gideon Markman & Dan Krause, 2014. "Special Topic Forum on Theory Building Surrounding Sustainable Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 1-1, July.
    4. Chi-Yo Huang & Yu-Sheng Kao, 2015. "UTAUT2 Based Predictions of Factors Influencing the Technology Acceptance of Phablets by DNP," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-23, August.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Gideon Markman & Dan Krause, 2014. "Special Topic Forum on Theory Building Surrounding Sustainable Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(4), pages 100-101, October.
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