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Online grocery shopping in Thailand: Consumer acceptance and usage behavior

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  • Driediger, Fabian
  • Bhatiasevi, Veera

Abstract

This study is the first of its kind to examine the acceptance and usage behavior of online grocery shopping in Thailand. It proposes an extension of the technology acceptance model, including subjective norm, visibility, perceived risk, and perceived enjoyment to better understand the factors and the extent to which they lead to the acceptance or rejection of online grocery shopping. In order to accurately test the variables and the relationships of the proposed research model, a questionnaire was developed and distributed to 450 residents in the Bangkok area, of which 263 valid responses were returned back to the researcher. Instrument development was done by using existing scales and items from the current literature on technology acceptance. Partial least squares structural equation modeling (PLS-SEM) was used for this research, with the results emphasizing that perceived ease of use, perceived usefulness, intention to use, subjective norm, and perceived enjoyment have a statistically significant relationship towards the acceptance of online grocery shopping in Thailand. By contrast, visibility and perceived risk were found to have no significant impact on the perceived usefulness of online grocery shopping. The results and implications are summarized in the discussion part of this paper where valuable recommendations for decision makers are provided.

Suggested Citation

  • Driediger, Fabian & Bhatiasevi, Veera, 2019. "Online grocery shopping in Thailand: Consumer acceptance and usage behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 224-237.
    • Handle: RePEc:eee:joreco:v:48:y:2019:i:c:p:224-237
    DOI: 10.1016/j.jretconser.2019.02.005
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    3. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    4. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    5. Chalermsak Lertwongsatien & Nitaya Wongpinunwatana, 2003. "E-Commerce Adoption in Thailand: An Empirical Study of Small and Medium Enterprises (SMEs)," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 6(3), pages 67-83, July.
    6. Park, Kristen & Perosio, Debra & German, Gene A. & McLaughlin, Edward W., 1996. "What's In Store for Home Shopping?," EB Series 186335, Cornell University, Department of Applied Economics and Management.
    7. Á. Herrero Crespo & I. Rodríguez del Bosque & M. M. García de los Salmones Sánchez, 2009. "The influence of perceived risk on Internet shopping behavior: a multidimensional perspective," Journal of Risk Research, Taylor & Francis Journals, vol. 12(2), pages 259-277, March.
    8. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    9. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
    10. Hiser, Jennifer & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 1999. "An Exploratory Analysis Of Familiarity And Willingness To Use Online Food Shopping Services In A Local Area Of Texas," Journal of Food Distribution Research, Food Distribution Research Society, vol. 30(1), pages 1-13, March.
    11. Grewal, Dhruv & Gotlieb, Jerry & Marmorstein, Howard, 1994. "The Moderating Effects of Message Framing and," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 145-153, June.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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