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Online customers’ habit-inertia nexus as a conditional effect of mobile-service experience: A moderated-mediation and moderated serial-mediation investigation of mobile-service use resistance

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  • Nel, Jacques
  • Boshoff, Christo

Abstract

Retail managers are grappling with the problem to convert online shoppers to mobile shoppers. Therefore, this study investigates how mobile shopping-service experience can lower mobile-service use resistance by disrupting online shoppers’ habit-inertia behavior. The moderation results showed that mobile-service experience (1) using the retailer’s mobile service for product information; (2) buying products using other retailers’ mobile service decreases the positive (but undesirable) influence of habit on online-service inertia. Moderated-mediation and moderated serial-mediation results suggest that the positive indirect effects of online-service use habit on mobile-service use resistance through online-service inertia and mobile-service relative-advantage perceptions decrease as the two moderators increase.

Suggested Citation

  • Nel, Jacques & Boshoff, Christo, 2019. "Online customers’ habit-inertia nexus as a conditional effect of mobile-service experience: A moderated-mediation and moderated serial-mediation investigation of mobile-service use resistance," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 282-292.
    • Handle: RePEc:eee:joreco:v:47:y:2019:i:c:p:282-292
    DOI: 10.1016/j.jretconser.2018.12.003
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    as
    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    3. Ratchford, Brian T, 2001. "The Economics of Consumer Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 397-411, March.
    4. Jolley, Bill & Mizerski, Richard & Olaru, Doina, 2006. "How habit and satisfaction affects player retention for online gambling," Journal of Business Research, Elsevier, vol. 59(6), pages 770-777, June.
    5. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    6. Sheinin, Daniel A., 2000. "The Effects of Experience with Brand Extensions on Parent Brand Knowledge," Journal of Business Research, Elsevier, vol. 49(1), pages 47-55, July.
    7. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    8. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    9. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    10. Gupta, Anil & Arora, Neelika, 2017. "Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 1-7.
    11. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    12. Garbarino, Ellen C & Edell, Julie A, 1997. "Cognitive Effort, Affect, and Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 147-158, September.
    13. Kwon, Wi-Suk & Lennon, Sharron J., 2009. "Reciprocal Effects Between Multichannel Retailers’ Offline and Online Brand Images," Journal of Retailing, Elsevier, vol. 85(3), pages 376-390.
    14. Chen, Yi-Mu & Hsu, Tsuen-Ho & Lu, Yu-Jou, 2018. "Impact of flow on mobile shopping intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 281-287.
    15. Rao, Akshay R & Monroe, Kent B, 1988. "The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(2), pages 253-264, September.
    16. Groß, Michael, 2018. "Heterogeneity in consumers’ mobile shopping acceptance: A finite mixture partial least squares modelling approach for exploring and characterising different shopper segments," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 8-18.
    17. Bettman, James R & Park, C Whan, 1980. "Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 234-248, December.
    Full references (including those not matched with items on IDEAS)

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