Social contagions in business resilience: Evidence from the U.S. restaurant industry in the COVID-19 pandemic

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2024-07-09 DOI:10.1016/j.dss.2024.114288
Long Xia , Christopher Lee
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Abstract

The unprecedented COVID-19 has led to the collapse of numerous businesses, notably within the tourism and hospitality sectors. Despite the burgeoning research on resilience, few studies have embraced a theoretical lens, particularly from a social network perspective. In addition, most extant resilience studies have not explicitly considered the geographic accessibility prerequisite inherent to tourism and hospitality products. In this study, leveraging the social contagion theory, we present a holistic research framework to investigate the influence of geographic and social proximities, two pivotal social contagion mechanisms, on business resilience. We also delve into moderating factors to discern the conditions under which contagion effects are amplified or attenuated. To validate our theoretical model, we select the restaurant industry as our research context, given its severe impact from COVID-19. Utilizing an extensive dataset from Yelp, encompassing ten U.S. cities varying in sizes and geolocations, our findings indicate that both geographic and social influences exert significant direct effects on resilience. Additionally, these effects exhibit considerable variations contingent upon product attributes, customer characteristics, and geographic factors. Theoretically, we are the first to substantiate the role of social contagion theory in examining resilience, enriching our understanding of the social network mechanism of behavioral contagion among customers during the COVID-19 pandemic. We also offer valuable practical implications for various stakeholders in supporting their management strategies and decision-making in developing effective plans and preparations, minimizing adverse impacts, and ensuring sustainability in the face of future disruptions.

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企业复原力中的社会传染病:美国餐饮业在 COVID-19 大流行中的证据
史无前例的 COVID-19 导致众多企业倒闭,尤其是旅游业和酒店业。尽管有关复原力的研究方兴未艾,但很少有研究采用理论视角,特别是从社会网络的角度进行研究。此外,大多数现有的复原力研究都没有明确考虑旅游业和酒店业产品固有的地理可达性前提条件。在本研究中,我们利用社会传染理论,提出了一个整体研究框架,以研究地理和社会接近性这两个关键的社会传染机制对企业恢复力的影响。我们还深入研究了调节因素,以确定在哪些条件下传染效应会被放大或减弱。为了验证我们的理论模型,我们选择了餐饮业作为研究背景,因为该行业受到 COVID-19 的严重影响。我们的研究结果表明,地理和社会影响对复原力都有显著的直接影响。此外,这些影响因产品属性、客户特征和地理因素的不同而表现出相当大的差异。从理论上讲,我们首次证实了社会传染理论在研究抗灾能力中的作用,丰富了我们对 COVID-19 大流行期间顾客行为传染的社会网络机制的理解。我们还为各利益相关方提供了宝贵的实践启示,帮助他们制定管理策略和决策,以制定有效的计划和准备工作,最大限度地减少不利影响,并确保在面对未来干扰时的可持续性。
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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