大规模灾难中的弹性产品和生产适应:是否有回报?

IF 2.8 4区 管理学 Q2 MANAGEMENT
Wei Sun, Bin Yang, Maggie Chuoyan Dong, Jack Cadeaux
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引用次数: 0

摘要

大流行的爆发会扰乱企业的正常运营,因此它们需要有弹性的应对措施。企业可以通过重新配置生产资源用于大流行病救济,将社会责任倡议与韧性应对措施结合起来。然而,目前尚不清楚缓解大流行的产品适应(简而言之,PRPA)是否能改善财务业绩。我们利用利益相关者理论分析了在COVID-19大流行期间,PRPA策略对美国上市制造业公司股票收益的影响,这是近期历史上持续时间最长、规模最大的大流行。结果表明,在严重的流行病环境下,股票市场对PRPA的反应更为积极,对于政治联系程度低、媒体覆盖率低和/或生产技术更独特的公司而言。研究结果为操作理论和实践提供了重要的启示。©2023决策科学研究所。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilient product and production adaptation in a large-scale disaster: Does it pay off?

Pandemic outbreaks can disrupt firms’ normal operations, so they demand a resilient response. Firms can combine social responsibility initiatives with resilient responses by reconfiguring their production resources for pandemic relief. It remains unclear, however, whether pandemic-relieving product adaptation (in short, PRPA) improves financial performance. We draw on stakeholder theory to analyze the effect of a PRPA strategy on the stock returns of US-listed manufacturing firms during the COVID-19 pandemic—the most enduring and large-scale pandemic in recent history. The results reveal that the stock market reacts more positively to PRPA under severe pandemic circumstances and for firms with low political connectedness, low media coverage, and/or more unique production technology. The findings offer important implications for operations theory and practice.

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来源期刊
DECISION SCIENCES
DECISION SCIENCES MANAGEMENT-
CiteScore
12.40
自引率
1.80%
发文量
34
期刊介绍: Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.
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