The Impact of the COVID-19 Pandemic on Restaurant Resilience: Lessons, Generalizations, and Ideas for Future Research
Kate Karniouchina (),
Kumar Sarangee (),
Carol Theokary () and
Raoul Kübler ()
Additional contact information
Kate Karniouchina: Lorry I. Lokey School of Business and Public Policy, Mills College, Oakland, California 94556
Kumar Sarangee: Department of Marketing, Leavey School of Business, Santa Clara University, Santa Clara, California 95053
Carol Theokary: Lorry I. Lokey School of Business and Public Policy, Mills College, Oakland, California 94556
Raoul Kübler: Marketing Center Münster, University of Münster, 48143 Münster, Germany
Service Science, 2022, vol. 14, issue 2, 121-138
Abstract:
Pandemics cause business disruptions that have serious implications for the design and delivery of services, leading to adverse performance consequences for services industries. Focusing on the restaurant industry, the authors present a conceptual framework of restaurants’ resilience during a pandemic that is grounded in existing services and strategy research, secondary and qualitative sources, and insights obtained from social media data. This framework is tested via an empirical analysis of the Yelp COVID-19 data set. Several interesting trends in consumer preferences are identified including a rapid shift toward third-party app delivery models. Surprisingly, the analysis shows that partnering with third-party app delivery services before COVID improved firms’ resilience, whereas during the pandemic, these partnerships have a negative impact on restaurant survival. Furthermore, the study documents some important differences between the drivers of restaurant survival before versus during the pandemic, highlighting critical changes in consumer preferences that may shape the industry in the future.
Keywords: COVID-19; service analytics; service design; service management; service marketing; restaurant survival (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/serv.2021.0293 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orserv:v:14:y:2022:i:2:p:121-138
Access Statistics for this article
More articles in Service Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().