The Impact of Blockchain‐Enabled Smart Contracts on Firms' Operational Efficiency

ABSTRACT Smart contracts, enabled by blockchain technology, are increasingly adopted by firms to automate the execution of agreements or contracts without the involvement of intermediaries. However, it is still unclear how smart contracts may affect firms' operational efficiency. We address this issue empirically by conducting a quasi‐natural experiment in the United States in which certain states have enacted relevant laws that increase in‐state firms' propensity to adopt and use smart contracts. Our difference‐in‐differences estimation suggests that compared with out‐of‐state control firms, in‐state treatment firms' operational efficiency increases significantly after the enactment of smart contract laws. Our post hoc analysis further suggests that state‐level smart contract laws help increase in‐state firms' actual smart contract activities, which in turn lead to operational efficiency improvement. We also find that the operational efficiency improvement varies across firms with different supply chain complexities. While firms with a large number of supply chain partners (i.e., high horizontal complexity) gain more operational efficiency improvement, the improvement becomes less pronounced if firms' supply chain partners are distributed across different countries (i.e., high spatial complexity). Overall, our research not only demonstrates smart contracts' ability to improve operational efficiency but also reveals the critical role of supply chain complexity in affecting the operational efficiency improvement.

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Publication Details

Journal
Journal of Operations Management
Published
2025-07-13
DOI
https://doi.org/10.1002/joom.70006
Citations
11
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
23.17

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article

The Impact of Blockchain‐Enabled Smart Contracts on Firms' Operational Efficiency

Shu Guo, Yangchun Xiong, Li Ding, Tsan‐Ming Choi et al.
11 citations
Journal of Operations Management
Impact of AI and Big Data on Business and Society
23.17
article

The Impact of Blockchain‐Enabled Smart Contracts on Firms' Operational Efficiency

Shu Guo, Yangchun Xiong, Li Ding, Tsan‐Ming Choi, Hugo K.S. Lam
article en
11 citations

Abstract

ABSTRACT Smart contracts, enabled by blockchain technology, are increasingly adopted by firms to automate the execution of agreements or contracts without the involvement of intermediaries. However, it is still unclear how smart contracts may affect firms' operational efficiency. We address this issue empirically by conducting a quasi‐natural experiment in the United States in which certain states have enacted relevant laws that increase in‐state firms' propensity to adopt and use smart contracts. Our difference‐in‐differences estimation suggests that compared with out‐of‐state control firms, in‐state treatment firms' operational efficiency increases significantly after the enactment of smart contract laws. Our post hoc analysis further suggests that state‐level smart contract laws help increase in‐state firms' actual smart contract activities, which in turn lead to operational efficiency improvement. We also find that the operational efficiency improvement varies across firms with different supply chain complexities. While firms with a large number of supply chain partners (i.e., high horizontal complexity) gain more operational efficiency improvement, the improvement becomes less pronounced if firms' supply chain partners are distributed across different countries (i.e., high spatial complexity). Overall, our research not only demonstrates smart contracts' ability to improve operational efficiency but also reveals the critical role of supply chain complexity in affecting the operational efficiency improvement.

Journal of Operations ManagementVol. 71(7)
University of Liverpool (GB), Nanyang Technological University (SG), University of York (GB)
Georgia Institute of Technology, University of Leeds
Openalex Percentile: Top 1%
Impact of AI and Big Data on Business and Society
23.17
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