Endings, freezing, and new beginnings: the return of customer comfort to Massachusetts restaurants following the pandemic

Author:

Palabiyik John UmitORCID,Cronin BrendanORCID,Markham Bagnera Suzanne D.ORCID,Legg Mark P.

Abstract

PurposeThis study investigates restaurant patrons' comfort level with the sudden shift in the dining-in climate within the state of Massachusetts during the onset of the COVID-19 pandemic.Design/methodology/approachAn exploratory study utilized learning algorithms via gradient boosting techniques on surveyed restaurant patrons to identify which restaurant operational attributes and patron demographics predict in-dining comfort levels.FindingsPast consumers' eating habits determine how much their behavior will change during a pandemic. However, their dining-in frequency is not a predictor of their post-pandemic dining-in outlook. The individuals who were more comfortable dining in prior to the pandemic dined in more often during the COVID pandemic. However, they had a poorer outlook on when dining in would return to normal. Although there are no clear indicators of when and how customers will embrace the new norm (a combination of pre-, peri-, and post-pandemic), the results show that some innovative approaches, such as limiting service offerings, are not well accepted by customers.Practical implicationsThe study offers several managerial implications for foodservice providers (i.e. restaurants, delivery services, pick-up) and investors. In particular, the study provides insights into the cognitive factors that determine diners' behavioral change in response to a pandemic and their comfort level. Operators must pay attention to these factors and consider different offering strategies when preparing to operate their business amid a pandemic.Originality/valueThis is a study of a specific location and period. It was conducted in Massachusetts before a vaccine was available. The restaurant industry was beset with uncertainty. It fills a gap in the current literature focused on the COVID-19 pandemic in customers' transition from pre-COVID-19 dining-in behaviors to customers' refreshed COVID-19 outlook and industry compliance with newly established hygiene and safety standards.

Publisher

Emerald

Subject

Tourism, Leisure and Hospitality Management

Reference46 articles.

1. AAPOR (2010), “Report on online panels - AAPOR”, available at: https://www.aapor.org/Education-Resources/Reports/Report-on-Online-Panels.aspx#An%20Overview%20of%20Online%20Panels (accessed 25 August 21).

2. A segmented machine learning modeling approach of social media for predicting occupancy;International Journal of Contemporary Hospitality Management,2021

3. A structural model evaluating the relationships among dining frequency, involvement, and restaurant attributes;Journal of Foodservice Business Research,2018

4. Knowledge, socio-cognitive perceptions and the practice of hand hygiene and social distancing during the COVID-19 pandemic: a cross-sectional study of UK university students;BMC Public Health,2021

5. Bolton, R.N. and Tarasi, C.O. (2007), “Managing customer relationships”, in Malhotra, N.K. (Ed.), Review of Marketing Research, Emerald Group Publishing, Bingley, Vol. 3, pp. 3-38, doi: 10.1108/S1548-6435(2007)0000003005.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3