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

IF 10.4 2区 管理学 Q1 MANAGEMENT
Yangchun Xiong, Li Ding, Shu Guo, Tsan-Ming Choi, Hugo K. S. Lam
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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.

Abstract Image

支持区块链的智能合约对公司运营效率的影响
区块链技术支持的智能合约越来越多地被公司采用,在没有中介机构参与的情况下自动执行协议或合同。然而,目前尚不清楚智能合约将如何影响公司的运营效率。我们通过在美国进行准自然实验来解决这个问题,在美国,某些州颁布了相关法律,增加了州内公司采用和使用智能合约的倾向。我们的异中之差估计表明,与州外控制公司相比,在智能合同法颁布后,州内处理公司的运营效率显著提高。我们的事后分析进一步表明,国家级智能合约法律有助于增加国有企业的实际智能合约活动,从而提高运营效率。我们还发现,在不同供应链复杂性的企业中,运营效率的提高是不同的。虽然拥有大量供应链合作伙伴(即高水平复杂性)的公司获得了更多的运营效率改善,但如果公司的供应链合作伙伴分布在不同的国家(即高空间复杂性),这种改善就不那么明显了。总体而言,我们的研究不仅证明了智能合约提高运营效率的能力,而且揭示了供应链复杂性在影响运营效率提高方面的关键作用。
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来源期刊
Journal of Operations Management
Journal of Operations Management 管理科学-运筹学与管理科学
CiteScore
11.00
自引率
15.40%
发文量
62
审稿时长
24 months
期刊介绍: The Journal of Operations Management (JOM) is a leading academic publication dedicated to advancing the field of operations management (OM) through rigorous and original research. The journal's primary audience is the academic community, although it also values contributions that attract the interest of practitioners. However, it does not publish articles that are primarily aimed at practitioners, as academic relevance is a fundamental requirement. JOM focuses on the management aspects of various types of operations, including manufacturing, service, and supply chain operations. The journal's scope is broad, covering both profit-oriented and non-profit organizations. The core criterion for publication is that the research question must be centered around operations management, rather than merely using operations as a context. For instance, a study on charismatic leadership in a manufacturing setting would only be within JOM's scope if it directly relates to the management of operations; the mere setting of the study is not enough. Published papers in JOM are expected to address real-world operational questions and challenges. While not all research must be driven by practical concerns, there must be a credible link to practice that is considered from the outset of the research, not as an afterthought. Authors are cautioned against assuming that academic knowledge can be easily translated into practical applications without proper justification. JOM's articles are abstracted and indexed by several prestigious databases and services, including Engineering Information, Inc.; Executive Sciences Institute; INSPEC; International Abstracts in Operations Research; Cambridge Scientific Abstracts; SciSearch/Science Citation Index; CompuMath Citation Index; Current Contents/Engineering, Computing & Technology; Information Access Company; and Social Sciences Citation Index. This ensures that the journal's research is widely accessible and recognized within the academic and professional communities.
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