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Online Reputation Mechanisms and the Decreasing Value of Chain Affliation

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  • Hollenbeck, Brett

Abstract

This paper investigates the value of branding and how it is changing in response to a large increase in consumer information provided by online reputation mechanisms. As an application of umbrella branding, theory suggests much of the value to firms of chain affiliation results from asymmetric information between buyers and sellers. As more information becomes available, consumers should rely less on brand names as quality signals and the ability for firms to extend reputations across heterogenous outlets should decrease. To examine this empirically, this paper combines a large, 15 year panel of hotel revenues with millions of online reviews from multiple platforms and performs a machine learning analysis of review text to recover latent, time-varying dimensions of firm quality. I find that branded, or chain-affiliated, hotels earn substantially higher revenues than equivalent independent hotels, but that this premium has declined by over 50% from 2000 to 2015. I find that this can be largely attributed to an increase in online reputation mechanisms, and that this affect is largest for low quality and small market firms. Numerous measures of the information content of online reviews show that as information has increased, independent hotel revenue grows substantially more than chain hotel revenue. Finally, the correlation between firm revenue and brand-wide reputation is decreasing and the correlation with individual hotel reputation is replacing it.

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  • Hollenbeck, Brett, 2018. "Online Reputation Mechanisms and the Decreasing Value of Chain Affliation," MPRA Paper 91573, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:91573
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    References listed on IDEAS

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    Cited by:

    1. Brett Hollenbeck & Sridhar Moorthy & Davide Proserpio, 2019. "Advertising Strategy in the Presence of Reviews: An Empirical Analysis," Marketing Science, INFORMS, vol. 38(5), pages 793-811, September.
    2. Ishita Chakraborty & Joyee Deb & Aniko Oery, 2020. "When Do Consumers Talk?," Cowles Foundation Discussion Papers 2254R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
    3. Sherry He & Brett Hollenbeck & Davide Proserpio, 2022. "The Market for Fake Reviews," Marketing Science, INFORMS, vol. 41(5), pages 896-921, September.
    4. Lee, Chien-Chiang & He, Zhi-Wen & Xiao, Fu, 2022. "How does information and communication technology affect renewable energy technology innovation? International evidence," Renewable Energy, Elsevier, vol. 200(C), pages 546-557.
    5. Yasui, Yuta, 2021. "Controlling Fake Reviews," MPRA Paper 108177, University Library of Munich, Germany.
    6. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R, Cowles Foundation for Research in Economics, Yale University, revised Sep 2020.
    7. Mengxia Zhang & Lan Luo, 2023. "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp," Management Science, INFORMS, vol. 69(1), pages 25-50, January.
    8. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    9. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    10. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2021.
    11. Swanand J. Deodhar & Samrat Gupta, 2023. "The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 178-193, March.
    12. Brett Hollenbeck & Renato Zaterka Giroldo, 2022. "Winning Big: Scale and Success in Retail Entrepreneurship," Marketing Science, INFORMS, vol. 41(2), pages 271-293, March.
    13. Jifeng Mu & Jonathan Z. Zhang, 2021. "Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 994-1020, September.
    14. Hui Zhao & Xiaoyuan Wang & Debing Ni & Kevin W. Li, 2023. "The Quality-Signaling Role of Manipulated Consumer Reviews," Group Decision and Negotiation, Springer, vol. 32(3), pages 503-536, June.
    15. Hyejin Mun & Chul Ho Lee & Hyunju Jung & Ceran Yasin, 2023. "Clash of reputation and status in online reviews," Information Technology and Management, Springer, vol. 24(1), pages 55-77, March.
    16. María D. Illescas-Manzano & Sergio Martínez-Puertas & Gema M. Marín-Carrillo & María B. Marín-Carrillo, 2023. "Dynamics of agglomeration and competition in the hotel industry: A geographically weighted regression analysis based on an analytical hierarchy process and geographic information systems (GIS) data," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 213-252, March.
    17. Liting Li & Haichao Zheng & Dongyu Chen & Bin Zhu, 2024. "Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 24(3), pages 1619-1658, September.
    18. Uttara Ananthakrishnan & Davide Proserpio & Siddhartha Sharma, 2023. "I Hear You: Does Quality Improve with Customer Voice?," Marketing Science, INFORMS, vol. 42(6), pages 1143-1161, November.
    19. Limin Fang, 2022. "The Effects of Online Review Platforms on Restaurant Revenue, Consumer Learning, and Welfare," Management Science, INFORMS, vol. 68(11), pages 8116-8143, November.
    20. Jesús J. Cambra-Fierro & María Fuentes-Blasco & Rocío Huerta-Álvarez & Ana Olavarría, 2021. "Customer-based brand equity and customer engagement in experiential services: insights from an emerging economy," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 467-491, September.
    21. Erfan Rezvani & Christian Rojas, 2022. "Firm responsiveness to consumers' reviews: The effect on online reputation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 898-922, November.
    22. Wu, Ruhai & Qiu, Chun, 2023. "When Karma strikes back: A model of seller manipulation of consumer reviews in an online marketplace," Journal of Business Research, Elsevier, vol. 155(PB).
    23. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176, Cowles Foundation for Research in Economics, Yale University.
    24. Birim, Şule Öztürk & Kazancoglu, Ipek & Kumar Mangla, Sachin & Kahraman, Aysun & Kumar, Satish & Kazancoglu, Yigit, 2022. "Detecting fake reviews through topic modelling," Journal of Business Research, Elsevier, vol. 149(C), pages 884-900.

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    More about this item

    Keywords

    Online Reviews; Branding; Text Analysis; Franchising;
    All these keywords.

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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