隐藏需要揭示的运行问题--一项将环境事故与产品召回联系起来的研究

IF 7.1 2区 管理学 Q1 MANAGEMENT
Rick Hardcopf, Rachna Shah
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引用次数: 0

摘要

研究目的 本研究探讨了发生过环境事故(EA)的企业是否不太可能进行产品召回。如果情况属实,则表明环境事故会诱使企业隐瞒需要揭露的运营问题。其逻辑是,这两种事件都是损害公司声誉和股价的经营失败。在发生紧急召回事件后,企业可能会避免自行决定产品召回,以避免提供更多经营能力不足和社会不负责任的证据,从而引发声誉和市场惩罚的扩大化。设计/方法/方法该数据集由多个公共和私人来源汇编而成,包括 4,355 次产品召回、153 次紧急召回和 120 家企业,这些企业来自经常召回产品的行业,包括汽车、制药、医疗器械、食品和消费品。研究时间范围为 2002-2013 年。研究结果表明,EA 平均降低了 32% 的产品召回概率。当事故更频繁或更严重,以及召回的严重程度更低时,效果会更大。通过事后分析,该研究发现,企业因声誉问题而避免召回的机制得到了支持,并提供了证据表明,企业行为准则会对召回行为产生长期影响,同时还表明,与美国食品和药物管理局管理的召回相比,企业更有可能避免美国消费品安全委员会(CPSC)和美国国家公路交通安全管理局(NHTSA)管理的召回。 原创性/价值运营管理(OM)领域的先前研究并未考察一个负面事件对另一个负面事件的影响。本研究发现,企业行为准则会诱使企业隐藏需要揭露的运营问题。虽然召回较少的缺陷产品会引起消费者和监管机构的关注,但如果企业经营活动影响到更广泛的酌情经营决策,如关闭/搬迁生产设施、外包生产或进行裁员,研究的意义就会大大增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hiding operational problems that need to be revealed – a study linking environmental accidents and product recalls

Purpose

This study investigates whether a firm that has experienced an environmental accident (EA) is less likely to conduct a product recall. If true, it would indicate that EAs tempt firms to hide operational problems that need to be revealed. The logic is that both events are operational failures that damage a firm's reputation and share price. Following an EA, a firm may avoid a discretionary product recall to avoid providing additional evidence of operational incapability and social irresponsibility and thereby triggering amplified reputational and market penalties.

Design/methodology/approach

The dataset is compiled from several public and private sources and includes 4,355 product recalls, 153 EAs and 120 firms from the industries that often recall products, including automotive, pharma, medical device, food and consumer products. The study timeframe is 2002–2013. Empirical models are evaluated using hazard modeling.

Findings

Results show that EAs reduce the probability of a product recall by 32%, on average. Effect sizes are larger when accidents are more frequent or more severe and when recalls are less severe. Through post hoc analyses, the study finds support for the proposed mechanism that firms avoid recalls due to reputational concerns, provides evidence that EAs can have a lengthy impact on recall behavior, and shows that firms are more likely to avoid recalls managed by the CPSC and NHTSA than recalls managed by the FDA.

Originality/value

Prior studies in operations management (OM) have not examined the impact of one negative event on another. This study finds that EAs tempt firms to hide operational problems that need to be revealed. While recalling fewer defective products is of concern to consumers and regulators, should EAs influence a broader set of discretionary operational decisions, such as closing/relocating a production facility, outsourcing production or conducting a layoff, study implications increase significantly.

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来源期刊
CiteScore
13.30
自引率
17.20%
发文量
96
期刊介绍: The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management. Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.
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