Do guests care more about hotel cleanliness during COVID-19? Understanding factors associated with cleanliness importance of hotel guests

Purpose Growing health concerns amid the COVID-19 pandemic have led guests to focus on various aspects of hotel cleanliness. This study aims to investigate whether customers’ perceived importance of hotel cleanliness during their stay depends on local pandemic severity and moderators of the pandemic–cleanliness relationship. Design/methodology/approach Based on TripAdvisor data from 26,519 reviews in 2020 for 2,024 hotels across the USA, this study evaluated the importance of hotel cleanliness using the estimated coefficient of the cleanliness score in a regression of overall hotel rating scores. Findings Results of a multilevel ordered logit model confirmed that a more difficult local pandemic situation rendered cleanliness more important during hotel stays. Additionally, the effect of the pandemic was more pronounced among specific groups: men and travelers with more expertise, and guests staying in hotels without COVID-19 protocols for linen cleaning, with a lower average rating, with a larger size and in a more urbanized location. Originality/value This study represents a pioneering effort to assess how pandemics shape people’s (perceived) importance of cleanliness during hotel stays based on revealed data. Despite potential managerial relevance, a number of the moderating variables included in this study, such as traveler expertise and hotel location, have never been studied within the context of cleanliness perceptions during a pandemic.

[1]  Baojun Ma,et al.  A digital transformation approach in hospitality and tourism research , 2023, International Journal of Contemporary Hospitality Management.

[2]  Diego Bufquin,et al.  Peer-to-peer accommodation amid COVID-19: the effects of Airbnb cleanliness information on guests’ trust and behavioral intentions , 2022, International Journal of Contemporary Hospitality Management.

[3]  Soocheong Jang,et al.  Hotel experiences during the COVID-19 pandemic: high-touch versus high-tech , 2022, International Journal of Contemporary Hospitality Management.

[4]  Yogesh Kumar Dwivedi,et al.  Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: a review and research agenda , 2021, International Journal of Contemporary Hospitality Management.

[5]  R. Taplin,et al.  Recovery of domestic tourism during the COVID-19 pandemic: An experimental comparison of interventions , 2021, Journal of Hospitality and Tourism Management.

[6]  J. M. Pung,et al.  Factors Influencing Choice of Accommodation during Covid-19: A Mixed-methods Study of Italian Consumers , 2021, Journal of Quality Assurance in Hospitality & Tourism.

[7]  Heather Shoenberger,et al.  Advertising during COVID-19: Exploring Perceived Brand Message Authenticity and Potential Psychological Reactance , 2021 .

[8]  Yao-Chin Wang,et al.  Government and social trust vs. hotel response efficacy: A protection motivation perspective on hotel stay intention during the COVID-19 pandemic , 2021, International Journal of Hospitality Management.

[9]  Y. Gao,et al.  Updates in service standards in hotels: how COVID-19 changed operations , 2021, International Journal of Contemporary Hospitality Management.

[10]  Brett A. S. Martin,et al.  The effects of crowdedness and safety measures on restaurant patronage choices and perceptions in the COVID-19 pandemic , 2021, International Journal of Hospitality Management.

[11]  C. Landry,et al.  How Has the COVID‐19 Pandemic Affected Outdoor Recreation in the U.S.? A Revealed Preference Approach , 2021 .

[12]  W. Kim,et al.  COVID-19 and hospitality 5.0: Redefining hospitality operations , 2021, International Journal of Hospitality Management.

[13]  A. Zehrer,et al.  Subconscious influences on perceived cleanliness in hospitality settings , 2020, International Journal of Hospitality Management.

[14]  Jiseon Ahn,et al.  Implementing ‘cleanliness is half of faith’ in re-designing tourists, experiences and salvaging the hotel industry in Malaysia during COVID-19 pandemic , 2020 .

[15]  Hakseung Shin,et al.  Reducing perceived health risk to attract hotel customers in the COVID-19 pandemic era: Focused on technology innovation for social distancing and cleanliness , 2020, International Journal of Hospitality Management.

[16]  Christopher J. Cronin,et al.  Private Precaution and Public Restrictions: What Drives Social Distancing and Industry Foot Traffic in the Covid-19 Era? , 2020 .

[17]  Katarzyna Leśniewska-Napierała,et al.  Impact of Geographic Distribution of COVID-19 Cases on Hotels’ Performances: Case of Polish Cities , 2020, Sustainability.

[18]  Fang Meng,et al.  The impact of national culture on hotel guest evaluation – A big data approach , 2020 .

[19]  Mark van Hagen,et al.  Measuring perceived cleanliness in service environments: Scale development and validation , 2019, International Journal of Hospitality Management.

[20]  S. Kline,et al.  Does hotel cleanliness correlate with surfaces guests contact? , 2019, International Journal of Contemporary Hospitality Management.

[21]  Yang Yang,et al.  Does time dull the pain? The impact of temporal contiguity on review extremity in the hotel context , 2018, International Journal of Hospitality Management.

[22]  Yang Yang,et al.  Understanding Guest Satisfaction with Urban Hotel Location , 2018 .

[23]  L. Pacheco.  Customer Satisfaction in Portuguese Hotels: evidence for Different Regions and Hotel Segments , 2017 .

[24]  C. Morosan,et al.  Moderating the impact of e-commerce expenses on financial performance in US upper upscale hotels , 2017 .

[25]  Karen L. Xie,et al.  Effects of managerial response on consumer eWOM and hotel performance , 2016 .

[26]  Seung Hyun Lee,et al.  The impact of online reviews on attitude changes: The differential effects of review attributes and consumer knowledge , 2016 .

[27]  Evangelos Christou,et al.  Blog Content for Competitive Advantage: Lessons Learned in the Application of Software Aided Linguistics Analysis , 2016 .

[28]  Katie R. Kirsch,et al.  Hotel cleanliness: will guests pay for enhanced disinfection? , 2015 .

[29]  Seoki Lee,et al.  A synergy effect of internationalization and firm size on performance US hotel industry , 2014 .

[30]  Shun Ye,et al.  Refreshing hotel satisfaction studies by reconfiguring customer review data , 2014 .

[31]  Q. Ye,et al.  Determinants of Customer Satisfaction in the Hotel Industry: An Application of Online Review Analysis , 2013 .

[32]  R. Law,et al.  Analyzing changes in hotel customers’ expectations by trip mode , 2013 .

[33]  G. M. Lewis.  What Women Want , 2012 .

[34]  A. Feinstein,et al.  The Effects of Perceptual and Conceptual Training on Novice Wine Drinkers’ Development , 2011 .

[35]  B. Mckercher,et al.  Hotel location and tourist activity in cities. , 2011 .

[36]  P. Clarke,et al.  Supermarket consumers and gender differences relating to their perceived importance levels of store characteristics , 2011 .

[37]  Ruggero Sainaghi.  RevPAR determinants of individual hotels: Evidences from Milan , 2011 .

[38]  J. Crotts,et al.  The perceived usefulness of blog postings: An extension of the expectancy-disconfirmation paradigm , 2011 .

[39]  Nelson A. Barber,et al.  Enhancing the assessment of tangible service quality through the creation of a cleanliness measurement scale , 2010 .

[40]  B. Gu,et al.  The impact of online user reviews on hotel room sales , 2009 .

[41]  Ingoo Han,et al.  The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews , 2008, ECIS.

[42]  Chris Ryan,et al.  Chinese clientele at Chinese hotels—Preferences and satisfaction , 2008 .

[43]  T. Lockyer,et al.  Hotel cleanliness—how do guests view it? Let us get specific. A New Zealand study , 2003 .

[44]  Sara Dolnicar,et al.  Business travellers’ hotel expectations and disappointments: A different perspective to hotel attribute importance investigation , 2002 .

[45]  J O Barbara,et al.  Performance, Firm Size, and Management Problem Solving [*] , 2000 .

[46]  Jagmohan S. Raju,et al.  The introduction and performance of store brands , 1995 .

[47]  Heung-Chul Oh,et al.  Do American Business Travellers Have Different Hotel Service Requirements , 1993 .

[48]  J. W. Hutchinson,et al.  Dimensions of Consumer Expertise , 1987 .

[49]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[50]  C. Grönroos.  An Applied Service Marketing Theory , 1982 .

[51]  Terence A. Shimp,et al.  Warranty and Other Extrinsic Cue Effects on Consumers' Risk Perceptions , 1982 .

[52]  R. Oliver.  A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[53]  R. W. Rogers,et al.  A Protection Motivation Theory of Fear Appeals and Attitude Change1. , 1975, The Journal of psychology.

[54]  L. Grilli,et al.  Ordered Logit Model , 2021, Encyclopedia of Quality of Life and Well-Being Research.

[55]  Jun Wen,et al.  Effects of COVID-19 on hotel marketing and management: a perspective article , 2020 .

[56]  Nor Zafir Md. Salleh,et al.  Antecedents, consequences, and reducers of perceived risk in social media: A systematic literature review and directions for further research , 2019, Psychology & Marketing.

[57]  Yang Yang,et al.  Travel distance and hotel service satisfaction: An inverted U-shaped relationship , 2019, International Journal of Hospitality Management.

[58]  Z. Schwartz,et al.  What can big data and text analytics tell us about hotel guest experience and satisfaction , 2015 .

[59]  Hao Luo,et al.  Theoretical, empirical, and operational models in hotel location research , 2014 .

[60]  Luigi dell’Olio,et al.  The quality of service desired by public transport users , 2011 .