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The Influence of Buyers’ Time Orientation on Online Shopping Behavior: A Typology

Author

Listed:
  • Dong Ling Xu-Priour

    (ESC Rennes School of Business - ESC [Rennes] - ESC Rennes School of Business)

  • Gérard Cliquet

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Adrian Palmer

    (Keele University [Keele])

Abstract

This research investigates the influence of buyers' time orientations (measured as polychronic–monochronic and past–future time orientations) on four major variables of online shopping: trust, social interaction, browsing, and locus of control, which in turn influence users' intention to shop online. Results using structural equation modeling with a sample of 377 Chinese cosmetics shoppers support our hypotheses and show that polychronic orientation of users tends to be positively related to trust, social interaction, browsing experience, and external locus of control and indirectly to intention to shop online through these four consumer characteristics. No relationship was found between future orientation and browsing experience and external locus of control, but a positive relationship was found with intention to shop online through trust and social interaction. Finally, results show that trust and social interaction are positively related to intention to shop online. The authors conclude that time orientations can be used as effective segmentation variables, which are useful in describing a universal typology among different types of online shopping behaviors. Internet retailers should take into account the role of time in e-shopping adoption when assessing different types of users and website design.

Suggested Citation

  • Dong Ling Xu-Priour & Gérard Cliquet & Adrian Palmer, 2017. "The Influence of Buyers’ Time Orientation on Online Shopping Behavior: A Typology," Post-Print halshs-02024281, HAL.
    • Handle: RePEc:hal:journl:halshs-02024281
    DOI: 10.1080/10864415.2016.1319206
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    Cited by:

    1. Zerbini, Cristina & Bijmolt, Tammo H.A. & Maestripieri, Silvia & Luceri, Beatrice, 2022. "Drivers of consumer adoption of e-Commerce: A meta-analysis," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1186-1208.
    2. Suhail Ahmad Bhat & Ajaz Akbar Mir & Sheikh Basharul Islam, 2022. "Scale Purification and Validation: A Methodological Approach to Sustainable Online Retailing," Vikalpa: The Journal for Decision Makers, , vol. 47(3), pages 217-234, September.
    3. Wagner, Gerhard & Schramm-Klein, Hanna & Steinmann, Sascha, 2020. "Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment," Journal of Business Research, Elsevier, vol. 107(C), pages 256-270.
    4. Du, Yiwei & Cui, Miao & Su, Jingqin, 2018. "Implementation processes of online and offline channel conflict management strategies in manufacturing enterprises: A resource orchestration perspective," International Journal of Information Management, Elsevier, vol. 39(C), pages 136-145.
    5. Dastane, Omkar & Goi, Chai Lee & Rabbanee, Fazlul, 2020. "A synthesis of constructs for modelling consumers’ perception of value from mobile-commerce (M-VAL)," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    6. Pelet, Jean-Éric & Durrieu, François & Lick, Erhard, 2020. "Label design of wines sold online: Effects of perceived authenticity on purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).

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