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.

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