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A persuasive-based latent class segmentation analysis of luxury brand websites

Author

Listed:
  • Estrella Díaz

    (University of Castilla-La Mancha)

  • David Martín-Consuegra

    (University of Castilla-La Mancha
    Universidad Autónoma de Chile)

  • Hooman Estelami

    (Graduate School of Business)

Abstract

Based on the development of the use of websites by brands, the purpose of this paper is to identify and describe different groups of luxury brands bearing in mind the persuasiveness of their websites (informativeness, usability, credibility, inspiration, involvement and reciprocity). The data for this study were collected from 197 luxury websites through content analysis methodology. Then, latent class cluster analysis was employed to identify the segments obtained in this study. The results confirm the existence of three segments of luxury brands according to website persuasiveness: “exclusive websites”, “transparent and accessible websites” and “old-fashioned websites”. This study helps luxury brand managers to evaluate the degree of persuasiveness of each group, determines how attractive the websites in each group are and suggests the measures necessary to improve their websites.

Suggested Citation

  • Estrella Díaz & David Martín-Consuegra & Hooman Estelami, 2016. "A persuasive-based latent class segmentation analysis of luxury brand websites," Electronic Commerce Research, Springer, vol. 16(3), pages 401-424, September.
    • Handle: RePEc:spr:elcore:v:16:y:2016:i:3:d:10.1007_s10660-016-9212-0
    DOI: 10.1007/s10660-016-9212-0
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    References listed on IDEAS

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    1. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    2. Uche Okonkwo, 2007. "Luxury Fashion Branding," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59088-5.
    3. Muna M. Alhammad & Stephen R. Gulliver, 2014. "Persuasive Technology and Users Acceptance of E-commerce: Users Perceptions of Website Persuasiveness," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 12(2), pages 1-13, April.
    4. Kaptein, Maurits & Eckles, Dean, 2012. "Heterogeneity in the Effects of Online Persuasion," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 176-188.
    5. Kim, Hyejeong & Niehm, Linda S., 2009. "The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 221-233.
    6. Angy Geerts, 2013. "Cluster Analysis Of Luxury Brands On The Internet," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 6(2), pages 79-92.
    7. Jean-Noël Kapferer & Vincent Bastien, 2009. "The Luxury Strategy: Break the Rules of Marketing to Build Luxury Brands," Post-Print hal-00786813, HAL.
    8. Herbes, Carsten & Ramme, Iris, 2014. "Online marketing of green electricity in Germany—A content analysis of providers’ websites," Energy Policy, Elsevier, vol. 66(C), pages 257-266.
    9. Vermunt, Jeroen K. & Magidson, Jay, 2003. "Latent class models for classification," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 531-537, January.
    10. Lee, Woojin & Gretzel, Ulrike, 2012. "Designing persuasive destination websites: A mental imagery processing perspective," Tourism Management, Elsevier, vol. 33(5), pages 1270-1280.
    11. van Noort, Guda & Voorveld, Hilde A.M. & van Reijmersdal, Eva A., 2012. "Interactivity in Brand Web Sites: Cognitive, Affective, and Behavioral Responses Explained by Consumers' Online Flow Experience," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 223-234.
    12. Kim, Angella J. & Ko, Eunju, 2012. "Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand," Journal of Business Research, Elsevier, vol. 65(10), pages 1480-1486.
    13. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    14. Dickinger, Astrid & Stangl, Brigitte, 2013. "Website performance and behavioral consequences: A formative measurement approach," Journal of Business Research, Elsevier, vol. 66(6), pages 771-777.
    15. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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