Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework

Ahmet Bulent Ozturk*, Khaldoon Nusair, Fevzi Okumus, Dipendra Singh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)


With the increased popularity of mobile devices, hotels and online travel agencies have started focusing on mobile hotel booking (MHB) in recent years. However, there has been limited research on users” loyalty intentions toward MHB technology. This research attempted to provide an integrated theoretical model that examines the determinants of MHB loyalty. The proposed model, which incorporates personalization, privacy concern, trust, perceived risk, and loyalty, was tested via structural equation modeling (SEM) by using data collected from 396 MHB users. The study results demonstrated that personalization is a strong predictor of MHB users” privacy concerns, trust, and risk perceptions. In addition, privacy concern had a significant impact on trust, and trust significantly influenced perceived risk. Finally, the results revealed that trust and perceived risk were associated with loyalty. This study provides valuable theoretical contributions for researchers and practical implications for online travel agencies, hotel operators and hospitality technology vendors.

Original languageEnglish
Pages (from-to)753-767
Number of pages15
JournalInformation Systems Frontiers
Issue number4
Publication statusPublished - Aug 1 2017


  • Hotel
  • Loyalty
  • Mobile application
  • Mobile booking
  • Personalization
  • Privacy
  • Risk
  • Trust

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computer Networks and Communications


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