IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v83y2020ics0160738320300827.html
   My bibliography  Save this article

The halo effect: A longitudinal approach

Author

Listed:
  • Nicolau, Juan Luis
  • Mellinas, Juan Pedro
  • Martín-Fuentes, Eva

Abstract

The halo effect is a cognitive bias whereby people form an opinion about a characteristic of an attribute of a product based on their predisposition (positive or negative) toward another attribute. No formal testing of this effect is available in the hospitality and tourism literature. Thus, this study fills this gap by analyzing a sample of 21,338 hotels. Results indicate that: i) the halo effect is supported (the “other” attributes explain nearly 50% of the focal attribute “location”); ii) asymmetric effects exist because negative variations have a stronger influence than positive variations (the halo effect actually becomes a crown of thorns); and iii) varying effects exist over the range of the dependent variable.

Suggested Citation

  • Nicolau, Juan Luis & Mellinas, Juan Pedro & Martín-Fuentes, Eva, 2020. "The halo effect: A longitudinal approach," Annals of Tourism Research, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:anture:v:83:y:2020:i:c:s0160738320300827
    DOI: 10.1016/j.annals.2020.102938
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738320300827
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.annals.2020.102938?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mellinas, Juan Pedro & Martínez María-Dolores, Soledad-María & Bernal García, Juan Jesús, 2015. "Booking.com: The unexpected scoring system," Tourism Management, Elsevier, vol. 49(C), pages 72-74.
    2. Park, Sangwon & Nicolau, Juan L., 2017. "Effects of general and particular online hotel ratings," Annals of Tourism Research, Elsevier, vol. 62(C), pages 114-116.
    3. Banerjee, Snehasish & Chua, Alton Y.K., 2016. "In search of patterns among travellers' hotel ratings in TripAdvisor," Tourism Management, Elsevier, vol. 53(C), pages 125-131.
    4. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amblee, Naveen & Ullah, Rahat, 2022. "Technique to harmonize Booking.com's dual rating systems," Annals of Tourism Research, Elsevier, vol. 97(C).
    2. Eva Martin-Fuentes & Sara Mostafa-Shaalan & Juan Pedro Mellinas, 2021. "Accessibility in Inclusive Tourism? Hotels Distributed through Online Channels," Societies, MDPI, vol. 11(2), pages 1-12, April.
    3. Alderighi, Marco & Nava, Consuelo R. & Calabrese, Matteo & Christille, Jean-Marc & Salvemini, Chiara B., 2022. "Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com," Journal of Business Research, Elsevier, vol. 145(C), pages 769-783.
    4. Dongock Bang & Jiwon Lee & Matthew Minsuk Shin, 2021. "Partner Selection Strategies in Global Business Ecosystems: Country Images of the Keystone Company and Partner Companies on the Brand Quality Perception," Sustainability, MDPI, vol. 13(22), pages 1-12, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruiz-Mafe, Carla & Chatzipanagiotou, Kalliopi & Curras-Perez, Rafael, 2018. "The role of emotions and conflicting online reviews on consumers' purchase intentions," Journal of Business Research, Elsevier, vol. 89(C), pages 336-344.
    2. Jayasinghe, Maneka & Selvanathan, E.A. & Selvanathan, Saroja, 2021. "Energy poverty in Sri Lanka," Energy Economics, Elsevier, vol. 101(C).
    3. 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.
    4. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    5. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    7. Salimata Sissoko, 2011. "Working Paper 03-11 - Niveau de décentralisation de la négociation et structure des salaires," Working Papers 1103, Federal Planning Bureau, Belgium.
    8. Korom, Philipp, 2016. "Inherited advantage: The importance of inheritance for private wealth accumulation in Europe," MPIfG Discussion Paper 16/11, Max Planck Institute for the Study of Societies.
    9. Daniele, Vittorio, 2007. "Criminalità e investimenti esteri. Un’analisi per le province italiane [The effect of organized crime on Foreign Investments. An Empirical Analysis for the Italian Provinces]," MPRA Paper 6417, University Library of Munich, Germany.
    10. Giovanna Boccuzzo & Licia Maron, 2017. "Proposal of a composite indicator of job quality based on a measure of weighted distances," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2357-2374, September.
    11. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    12. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    13. Cowling, Marc & Ughetto, Elisa & Lee, Neil, 2018. "The innovation debt penalty: Cost of debt, loan default, and the effects of a public loan guarantee on high-tech firms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 166-176.
    14. Mariateresa Ciommi & Chiara Gigliarano & Francesco M. Chelli & Mauro Gallegati, 2022. "It is the Total that Does [Not] Make the Sum: Nature, Economy and Society in the Equitable and Sustainable Well-Being of the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 491-522, June.
    15. Niematallah Elamin & Mototsugu Fukushige, 2016. "A Quantile Regression Model for Electricity Peak Demand Forecasting: An Approach to Avoiding Power Blackouts," Discussion Papers in Economics and Business 16-22, Osaka University, Graduate School of Economics.
    16. Peracchi, Franco, 2002. "On estimating conditional quantiles and distribution functions," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 433-447, February.
    17. Jan Fałkowski & Maciej Jakubowski & Paweł Strawiński, 2014. "Returns from income strategies in rural Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 139-178, January.
    18. Elena Bárcena-Mart�n & Santiago Budr�a & Ana I. Moro-Egido, 2012. "Skill mismatches and wages among European university graduates," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1471-1475, October.
    19. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    20. Charlier, Isabelle & Paindaveine, Davy & Saracco, Jérôme, 2015. "Conditional quantile estimation based on optimal quantization: From theory to practice," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 20-39.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:83:y:2020:i:c:s0160738320300827. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.