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网络安全风险下智能产品供应链中政府监管策略分析

Government Regulation Analysis in Smart Product Supply Chains under Cybersecurity Risks

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随着物联网技术的广泛应用与智能产品的普及,网络安全及用户数据隐私问题引发社会广泛关注,而政府能否采取合适的监管策略对于降低网络安全风险至关重要.针对由制造商和电子零售平台组成的智能产品供应链,建立博弈模型分析网络安全风险下政府监管的策略选择及其对企业和消费者的影响.研究发现,补贴政策下的网络防御水平仅在补贴比率较高的情况下才会高于处罚政策下的防御水平;处罚政策和补贴政策均有利于制造商、平台和消费者,其实现的条件由边际信息价值和单位罚款两个因素决定,当边际信息价值和单位罚款均较大时,政府应采取处罚政策,反之则采取补贴政策,并且高额的罚款或补贴均有利于增进社会福利.政府在选择监管策略时应综合考虑各方面的影响因素,以促进智能产品供应链的健康发展和网络安全水平的提升.
With the widespread application of the Internet of Things(IoT)technology and the popularity of smart products,issues related to cybersecurity and user data privacy have garnered widespread societal attention,making it crucial for governments to adopt appropriate regulatory strategies to mitigate cybersecurity risks.This paper considers a smart product supply chain composed of a manufacturer and an e-tailing platform.A game-theoretic model was employed to investigate the government's regulatory strategies(punishing or subsidizing)and its impact on firms and consumers under cybersecurity risks.The findings indicate that the cyber defense level under the subsidizing policy is higher than that under the punishing policy only when the subsidy ratio is significantly high;both punishing and subsidizing policies can achieve an all-win situation for the manufacturer,the platform,and consumers,contingent on two parameters:the marginal information value and the unit penalty;moreover,the government should choose the punishing policy when both the marginal information value and the unit penalty are high,and choose the subsidizing policy when either the marginal information value or the unit penalty is low.It is found that both high penalties and subsidies are beneficial to societal welfare.This research provides a theoretical basis and policy implications for government regulation,emphasizing the need to consider various influencing factors when choosing regulatory strategies to foster the healthy development of the smart product supply chain and enhance cybersecurity levels.

IoT technologysmart productcybersecuritygovernment regulationsupply chain management

崔梓彬、杜承铭、冯泽华

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广东工业大学,广东广州 510520

物联网技术 智能产品 网络安全 政府监管 供应链管理

广东省哲学社会科学规划重大基础理论研究专项广东省哲学社会科学创新工程2022年度特别委托项目国家社会科学基金后期资助项目

GD21ZDZFX01GD22TWCXGC1123FFXB057

2024

广东财经大学学报
广东商学院

广东财经大学学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.059
ISSN:1008-2506
年,卷(期):2024.39(4)
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