为时未晚:产品召回延迟与政策设计

W. Mao, Zhanyu Dong, Hsiao-Hui Lee
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引用次数: 2

摘要

问题定义:当缺陷发生时,我们检查公司的调查和召回决定,并提供如何阻止长时间延迟召回的政策含义。实际相关性:当安全缺陷发生时,制造商通常使用产品召回来减轻潜在的后果。虽然消费者期望产品缺陷及时召回,但坊间的例子表明,公司在调查潜在缺陷时可能会被动,并且/或者严重推迟召回决定。了解企业如何做出召回时机决策具有重要的商业和社会意义。方法:我们通过结合Bass扩散模型来捕捉具有长生命周期产品的销售模式,研究利润最大化制造商的调查努力和召回时间决策。然后,我们使用来自汽车行业的数据来测试我们的含义,并找到支持证据。结果:我们首先发现,当缺陷被早期发现,当销售受到(外部)媒体曝光对召回的负面影响更大,以及当产品具有相对较高的边际召回成本比时,公司会考虑延迟召回。其次,考虑延迟召回的公司会施加较小的调查努力,并且当缺陷更有可能导致召回时,它将进一步减少努力。当我们考虑企业的学习效应和信息更新发生在调查和召回过程中的情况时,我们的结果是一致的。管理意义:我们的模型不仅帮助我们了解公司在缺陷发生时如何做出决策,而且还为政府和监管机构提供了新的工具(例如,调查努力、处罚设计、信息披露、公司监督),以帮助公司在缺陷发生时积极主动,从而减少与召回过程延迟相关的潜在伤亡。
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Before It's Too Late: Product Recall Delays and Policy Design
Problem definition: We examine a firm’s investigation and recall decisions when a defect occurs and provide policy implications on how to deter long delayed recalls. Practical relevance: When a safety defect occurs, manufacturers often use product recalls to mitigate potential consequences. Although consumers expect on-time recalls for product defects, anecdotal examples suggest that firms may be passive in investigating potential defects and/or severely delay their recall decisions. Understanding how firms make their recall timing decisions has important business and social implications. Methodology: We study decisions on investigation efforts and recall timings for a profit-maximizing manufacturer by incorporating a Bass diffusion model to capture sales patterns for products with long life cycles. We then test our implications using data from the automobile industry and find supporting evidence. Results: We first find that a firm will consider a delayed recall when the defect is noticed early, when sales suffer more negative impacts from (external) media exposure on a recall, and when the product has a relatively high margin-to-recall-cost ratio. Second, a firm that will consider a delayed recall exerts a smaller investigation effort, and it will further reduce the effort when the defect is more likely to lead to a recall. When we consider the case in which a firm’s learning effect and information updating occur in an investigation and recall process, our results remain consistent. Managerial implications: Our model not only helps us understand how firms make their decisions when defects occur but also offers governments and regulatory bodies new instruments (e.g., investigation efforts, penalty design, information disclosure, firm supervision) to help firms be proactive should a defect occur, thereby reducing potential casualties associated with delays in a recall progress.
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