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Segmenting Reviewers Based on Reviewer and Review Characteristics

Author

Listed:
  • Himanshu Sharma

    (University of Delhi, India)

  • Anu G. Aggarwal

    (University of Delhi, India)

Abstract

Being experiential commodities, it becomes difficult to make any judgment about hotels or attractions before their utilization. This is where the reviews provided by guests/tourists play an influential role. Therefore, it becomes imperative to study in-depth characteristics of reviewers through which such valuable information is diffused, and also classifying them into various categories based on it. This study adopts a two-stage methodology to segment reviewers based on the reviewer as well as review characteristics. In the first stage, factors that help in evaluating a reviewer are formulated using factor analysis. Later on, cluster analysis is performed for the segmentation of reviewers. Finally, the obtained reviewers' segments are validated using external validation methods. The study comes up with various implications that could be profitable for business managers in selecting the reviewer community.

Suggested Citation

  • Himanshu Sharma & Anu G. Aggarwal, 2022. "Segmenting Reviewers Based on Reviewer and Review Characteristics," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(1), pages 1-20, January.
    • Handle: RePEc:igg:jban00:v:9:y:2022:i:1:p:1-20
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    References listed on IDEAS

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    1. Néstor Gandelman, 2009. "Selection Biases in Sports Markets," Journal of Sports Economics, , vol. 10(5), pages 502-521, October.
    2. Alex Bryson & Bernd Frick & Rob Simmons, 2013. "The Returns to Scarce Talent," Journal of Sports Economics, , vol. 14(6), pages 606-628, December.
    3. Trey Dronyk-Trosper & Brandli Stitzel, 2017. "Lock-In and Team Effects," Journal of Sports Economics, , vol. 18(4), pages 376-387, May.
    4. Hanlon, Clare & Morris, Tony & Nabbs, Susan, 2014. "Program providers’ perspective: Recruitment and retention strategies for women in physical activity programs," Sport Management Review, Elsevier, vol. 17(2), pages 133-144.
    5. Mohsen Attaran & Sharmin Attaran, 2018. "Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 9(2), pages 1-26, July.
    6. Zoubin Ghahramani, 2015. "Probabilistic machine learning and artificial intelligence," Nature, Nature, vol. 521(7553), pages 452-459, May.
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