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The Impact of Hygiene Factors on Online Hotel Consumption in China during the COVID-19 Pandemic

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  • Chuanming Sun

    (National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China)

  • Xingyu Chai

    (National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China)

  • Qing Fan

    (National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China)

  • Wenyuan Zhang

    (National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China)

Abstract

The COVID-19 pandemic, with its risk of repeated fluctuations, has shifted the basis for decisions on tourism spending. Thus, it is crucial for the hospitality industry to understand the factors that influence accommodation consumption. Grounded in signaling theory, our empirical analysis is based on analyzing data from eLong on 7209 Chinese hotels using binary logistic regression and the ordinary least squares method (OLS). The main findings are as follows: (1) completeness of information, online hygiene rating and hygiene recommendation tags have a significant impact on hotel consumption; (2) online hygiene rating has a positively significant moderating effect on the relationship between information completeness and hotel sales; and (3) there is variability in the factors that influence the generation and growth of hotel sales. In addition, we discuss the role of online travel agencies (OTAs) and provide relevant advice for practitioners.

Suggested Citation

  • Chuanming Sun & Xingyu Chai & Qing Fan & Wenyuan Zhang, 2023. "The Impact of Hygiene Factors on Online Hotel Consumption in China during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3537-:d:1068668
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    1. Kim, Molan & Lee, Seung Min & Choi, Sanghak & Kim, Sang Yong, 2021. "Impact of visual information on online consumer review behavior: Evidence from a hotel booking website," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. Siddiqi, Umar Iqbal & Akhtar, Naeem & Islam, Tahir, 2022. "Restaurant hygiene attributes and consumers’ fear of COVID-19: Does psychological distress matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    3. Kim, Jinwon & Jang, Seongsoo & Kang, Sanghoon & Kim, SeungHyun (James), 2020. "Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes," Journal of Business Research, Elsevier, vol. 107(C), pages 118-129.
    4. Wilbur Chung & Arturs Kalnins, 2001. "Agglomeration effects and performance: a test of the Texas lodging industry," Strategic Management Journal, Wiley Blackwell, vol. 22(10), pages 969-988, October.
    5. Ben Aissa, Sami & Goaied, Mohamed, 2016. "Determinants of Tunisian hotel profitability: The role of managerial efficiency," Tourism Management, Elsevier, vol. 52(C), pages 478-487.
    6. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    7. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    8. Mohammad Reza Davahli & Waldemar Karwowski & Sevil Sonmez & Yorghos Apostolopoulos, 2020. "The Hospitality Industry in the Face of the COVID-19 Pandemic: Current Topics and Research Methods," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
    9. Yang, Yang & Mueller, Noah J. & Croes, Robertico R., 2016. "Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors," Tourism Management, Elsevier, vol. 56(C), pages 40-51.
    10. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    11. Wang, Feng & Liu, Xuefeng & Fang, Eric (Er), 2015. "User Reviews Variance, Critic Reviews Variance, and Product Sales: An Exploration of Customer Breadth and Depth Effects," Journal of Retailing, Elsevier, vol. 91(3), pages 372-389.
    12. Spence, Michael, 1974. "Competitive and optimal responses to signals: An analysis of efficiency and distribution," Journal of Economic Theory, Elsevier, vol. 7(3), pages 296-332, March.
    13. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
    14. Li, Chunyu & Cui, Geng & Peng, Ling, 2017. "The signaling effect of management response in engaging customers: A study of the hotel industry," Tourism Management, Elsevier, vol. 62(C), pages 42-53.
    15. Abrate, Graziano & Capriello, Antonella & Fraquelli, Giovanni, 2011. "When quality signals talk: Evidence from the Turin hotel industry," Tourism Management, Elsevier, vol. 32(4), pages 912-921.
    16. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    17. Hsien-Hung Chiu & Chiang-Ming Chen, 2014. "Advertising, Price and Hotel Service Quality: A Signalling Perspective," Tourism Economics, , vol. 20(5), pages 1013-1025, October.
    18. Anna Kourtesopoulou & Sofia-Danai Theodorou & Athanasios Kriemadis & Alkistis Papaioannou, 2019. "The Impact of Online Travel Agencies Web Service Quality on Customer Satisfaction and Purchase Intentions," Springer Proceedings in Business and Economics, in: Vicky Katsoni & Marival Segarra-Oña (ed.), Smart Tourism as a Driver for Culture and Sustainability, chapter 0, pages 343-356, Springer.
    19. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2021. "The impact of information disclosure on consumer purchase behavior on sharing economy platform Airbnb," International Journal of Production Economics, Elsevier, vol. 231(C).
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