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Unpacking Hotel Reviews : The Connection Between Ratings and Textual Sentiment during the Pandemic

원문정보

Jin Seon Choe, Mina Jun, Miyea Kim

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초록

영어

Due to the rise in infectious diseases such as Covid-19, new standards and attributes have emerged to evaluate hotel services, and certain factors (e.g., hygiene) have become crucial. This has led to numerous research endeavors investigating the effect of pandemic on hotel online reviews by emphasizing review elements such as ratings and textual reviews. Previous online review studies related to the Covid-19 pandemic have primarily focused on distinguishing between overall ratings and textual reviews, with limited perspectives on the interplay between these two factors. However, this study investigated the pandemic's impact on consumer review postings by examining multidimensional ratings and textual comments simultaneously, thus identifying the factors that influence the polarity of textual review. Compared to the pre-Covid-19 era, a positive rating for cleanliness led to a more significant positive change in review polarity after Covid-19. This implies that hotel managers need to quickly identify the specific attributes that affect hotel reviews when an unpredictable crisis occurs and invest in improving performance in those areas. The findings from such research not only apply to pandemics but also offer insights for hotel service providers facing crises marked by heightened customer concerns, indicating how they should perceive and respond to online review ratings and comments.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Consumer Online Reviews in the Context in the Era of Crisis
2.1. Online Customer Ratings amidst Elevated Social Anxiety
2.2. Online Customer Textual Reviews amidst Elevated Social Anxiety
2.3. Interaction of Ratings and Textual Reviews during the Pandemic
Ⅲ. Hypothesis Development
3.1. Rating and Review Polarity
3.2. The COVID-19 Pandemic and Review Polarity
3.3. Ratings of Cleanliness and the Review Polarity during the COVID-19 Pandemic
Ⅳ. Data and Research Methods
4.1. Data
4.2. Model specification and measurements
Ⅴ. Results
5.1. Main Results
5.2. Robustness Checks
Ⅵ. Discussion
6.1. Summary of Findings
6.2. Theoretical Contributions and Practical Implications
6.3. Limitations and future research

저자정보

  • Jin Seon Choe Research Fellow, Yonsei Business Research Institute, Korea
  • Mina Jun Assistant Professor, Division of Business Administration, Sookmyung Women's University, Korea
  • Miyea Kim Assistant Professor, Department of Business Administration, Changwon National University, Korea

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