Are guests of the same opinion as the hotel star-rate classification system?

Abstract Hotel classification systems have been questioned on some occasions due to the loss of credibility of stars as a quality standard and because they are sometimes subject to outdated criteria. In any case, this system allows reducing the adverse effects of asymmetric information, characterized in a market such as the hospitality industry. With a sample of more than 14,000 hotels in 100 cities around the world taken from two of the most important tourism websites as are Booking and TripAdvisor, we ascertained whether the star-rating classification system of hotels, room price, or even hotel size, match user satisfaction measured from the point of view the scores awarded by past users. The results confirm that despite the differences in criteria in implementing the hotel star-rate classification system throughout the world, a relationship does exist with user satisfaction, based on the scores awarded by former customers both on TripAdvisor and on Booking. In turn, price is related to hotel category and with satisfaction. However, the number of rooms does not influence the score awarded, although depending on the region, there is a relationship between hotel size and category. We conclude that the hotel classification system adequately fulfils its function as customer ratings increase with each additional star, just as price is also related with both aspects. The main contribution of this study is that the results concern hotels from around the world comparing them with the views of customers expressed on TripAdvisor and Booking.

[1]  F. J. Velázquez,et al.  Are stars a good indicator of hotel quality? Assymetric information and regulatory heterogeneity in Spain , 2014 .

[2]  R. Law,et al.  The Impact of Culture on Hotel Ratings: Analysis of Star-Rated Hotels in China , 2011 .

[3]  P. Ingram,et al.  Organizational form as a solution to the problem of credible commitment: The evolution of naming strategies among U.S. hotel chains, 1896–1980 , 2007 .

[4]  Ingrid Jeacle,et al.  In TripAdvisor we trust: Rankings, calculative regimes and abstract systems , 2011 .

[5]  A. Israeli Star rating and corporate affiliation: their influence on room price and performance of hotels in Israel. , 2002 .

[6]  Erin M. Steffes,et al.  Social ties and online word of mouth , 2009, Internet Res..

[7]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[8]  John McGee,et al.  A LONGITUDINAL STUDY OF THE COMPETITIVE POSITIONS AND ENTRY PATHS OF EUROPEAN FIRMS IN THE U.S. PHARMACEUTICAL MARKET , 1996 .

[9]  C. Anderson The Impact of Social Media on Lodging Performance , 2012 .

[10]  Traci Hong,et al.  The influence of structural and message features on Web site credibility , 2006 .

[11]  G. C. D. O. Santos,et al.  Worldwide hedonic prices of subjective characteristics of hostels. , 2016 .

[12]  Intermediaries as Bundlers, Traders and Quality Assessors: The Case of UK Tour Operators , 2005 .

[13]  F. Tang,et al.  Online Pricing Dispersion of Chinese Hotels , 2008 .

[14]  Juanita C. Liu,et al.  Assessment of the hotel rating system in China , 1993 .

[15]  A. S. Cantallops,et al.  International Journal of Hospitality Management New Consumer Behavior: a Review of Research on Ewom and Hotels , 2022 .

[16]  M. C. L. Fernández,et al.  Is the hotel classification system a good indicator of hotel quality?: An application in Spain , 2004 .

[17]  Fahri Karakaya,et al.  Impact of online reviews of customer care experience on brand or company selection , 2010 .

[18]  Gerald Petz,et al.  First in Search - How to Optimize Search Results in E-Commerce Web Shops , 2014, HCI.

[19]  J. Prieto-Rodriguez,et al.  Hotel Quality Appraisal on the Internet: A Market for Lemons? , 2010 .

[20]  J. Hamilton,et al.  Coastal landscape and the hedonic price of accommodation , 2007 .

[21]  Q. Ye,et al.  Analysis of the Perceived Value of Online Tourism Reviews: Influence of Readability and Reviewer Characteristics , 2016 .

[22]  Giampaolo Viglia,et al.  Strategic and tactical price decisions in hotel revenue management , 2016 .

[23]  Mohamed Goaied,et al.  Determinants of Tunisian hotel profitability: The role of managerial efficiency , 2016 .

[24]  B. Pan,et al.  A retrospective view of electronic word-of-mouth in hospitality and tourism management , 2017 .

[25]  Aviad A. Israeli,et al.  The relative role of strategic assets in determining customer perceptions of hotel room price , 2006 .

[26]  George A. Akerlof The Market for “Lemons”: Quality Uncertainty and the Market Mechanism , 1970 .

[27]  Natasa Christodoulidou,et al.  What Determines Consumers' Ratings of Service Providers? An Exploratory Study of Online Traveler Reviews , 2013 .

[28]  Hulisi Ögüt,et al.  The influence of internet customer reviews on the online sales and prices in hotel industry , 2012 .

[29]  Karen L. Xie,et al.  The business value of online consumer reviews and management response to hotel performance. , 2014 .

[30]  Joel A. C. Baum,et al.  Localized Competition and Organizational Failure in the Manhattan Hotel Industry, 1898-1990 , 1992 .

[31]  M. Skidmore,et al.  Hedonic Pricing and Willingness to Pay for Bed and Breakfast Amenities in Southeast Wisconsin , 2003 .

[32]  Rob Law,et al.  A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings , 2015 .

[33]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[34]  Kyung Hyan Yoo,et al.  Use and Impact of Online Travel Reviews , 2008, ENTER.

[35]  I. Vermeulen,et al.  Tried and tested: The impact of online hotel reviews on consumer consideration , 2009 .

[36]  G. Viglia,et al.  Please, talk about it! When hotel popularity boosts preferences☆ , 2014 .

[37]  José F. Molina-Azorín,et al.  The impact of strategic behaviours on hotel performance , 2007 .

[38]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[39]  Edwin N. Torres,et al.  Stars, Diamonds, and Other Shiny Things: The Use of Expert and Consumer Feedback in the Hotel Industry , 2014 .

[40]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[41]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[42]  M. Vila,et al.  Do implicit prices for hotels and second homes show differences in tourists’ valuation for public attributes for each type of accommodation facility? , 2014 .

[43]  B. Sparks,et al.  The impact of online reviews on hotel booking intentions and perception of trust. , 2011 .

[44]  Ingoo Han,et al.  The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement , 2007, Int. J. Electron. Commer..

[45]  Wilbur Chung,et al.  Chapters School of Hotel Administration Collection 10-2001 Agglomeration Effects and Performance : A Test of the Texas Lodging Industry , 2015 .

[46]  A. Parasuraman,et al.  The nature and determinants of customer expectations of service , 1993 .

[47]  R. Butler The concept of a tourist area cycle of evolution: implications for management of resources. , 1980 .

[48]  J. Nicolau,et al.  The quality of quality awards: Diminishing information asymmetries in a hotel chain , 2010 .

[49]  G. Fraquelli,et al.  When quality signals talk: Evidence from the Turin hotel industry , 2011 .

[50]  R. Law,et al.  Analyzing hotel star ratings on third‐party distribution websites , 2010 .

[51]  Rich Harrill,et al.  Hotel category switching behavior—Evidence of mobility, stasis or loyalty , 2013 .

[52]  Ingoo Han,et al.  The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..

[53]  Rob Law,et al.  Determinants of hotel room price , 2011 .

[54]  Ling Liu,et al.  Manipulation in digital word-of-mouth: A reality check for book reviews , 2011, Decis. Support Syst..

[55]  Germà Coenders,et al.  Effect on Prices of the Attributes of Holiday Hotels: A Hedonic Prices Approach , 2003 .

[56]  Asunur Cezar,et al.  Analyzing conversion rates in online hotel booking: The role of customer reviews, recommendations and rank order in search listings , 2016 .

[57]  Santiago Melián-González,et al.  Improving hotel ratings by offering free Wi‐Fi , 2011 .

[58]  A. Chua,et al.  In search of patterns among travellers' hotel ratings in TripAdvisor , 2016 .

[59]  R. Law,et al.  Factors influencing the effectiveness of online group buying in the restaurant industry , 2013 .

[60]  X. Zhang,et al.  Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .

[61]  Wei Chen,et al.  The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings , 2011, Comput. Hum. Behav..

[62]  Ching-Fu Chen,et al.  An Application of Hedonic Pricing Analysis to the Case of Hotel Rooms in Taipei , 2010 .