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Understanding the attitude and intention to use smartphone chatbots for shopping

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  • Kasilingam, Dharun Lingam

Abstract

Using the technology acceptance model and diffusion of innovations theory, this study evaluated the intention of consumers to use chatbots on smartphones for shopping. Chatbot is a relatively new technology and is expected to dominate mobile commerce and shopping applications in future. Hence, this study aimed to determine the association of perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, trust, and personal innovativeness with attitude and intention to use chatbots for shopping. Respondents were asked to fill a questionnaire after using a Facebook e-commerce chatbot that was specifically created for this study. In total, 350 responses were analyzed using partial least squares structural equation modeling. Results indicated that attitude toward chatbots was considerably influenced by the variables perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, and personal innovativeness. However, intention to use was directly influenced only by trust, personal innovativeness, and attitude. Mediation analysis indicated that full mediation occurs through the attitude variable for most direct relationships. Moderation analysis by using age, gender, and prior experience with mobile shopping applications indicated considerable differences between the groups in terms of the strength of certain relationships and the mean responses between the variables.

Suggested Citation

  • Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x1930260x
    DOI: 10.1016/j.techsoc.2020.101280
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    1. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2018. "The moderating role of device type and age of users on the intention to use mobile shopping applications," Technology in Society, Elsevier, vol. 53(C), pages 79-90.
    2. Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Moon, Junyean & Chadee, Doren & Tikoo, Surinder, 2008. "Culture, product type, and price influences on consumer purchase intention to buy personalized products online," Journal of Business Research, Elsevier, vol. 61(1), pages 31-39, January.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Vicente, María Rosalía & López, Ana Jesús, 2011. "Assessing the regional digital divide across the European Union-27," Telecommunications Policy, Elsevier, vol. 35(3), pages 220-237, April.
    7. 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.
    8. Leeflang, P.S.H. & Wittink, Dick R., 2000. "Building models for marketing decisions: past, present and future," Research Report 00F20, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    9. Thomas F. Stafford & Aykut Turan & Mahesh S. Raisinghani, 2004. "International and Cross-Cultural Influences on Online Shopping Behavior," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 7(2), pages 70-87, April.
    10. Chen-Yu Lin & David Marshall & John Dawson, 2013. "How Does Perceived Convenience Retailer Innovativeness Create Value for the Customer?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 171-179, December.
    11. Ofir, Chezy, 2004. "Reexamining Latitude of Price Acceptability and Price Thresholds: Predicting Basic Consumer Reaction to Price," Journal of Consumer Research, Oxford University Press, vol. 30(4), pages 612-621, March.
    12. 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.
    13. repec:dgr:rugsom:00f20 is not listed on IDEAS
    14. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    15. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    16. Dominik Papies & Michel Clement, 2008. "Adoption of New Movie Distribution Services on the Internet," Journal of Media Economics, Taylor & Francis Journals, vol. 21(3), pages 131-157.
    17. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    18. Chang, En-Chi & Tseng, Ya-Fen, 2013. "Research note: E-store image, perceived value and perceived risk," Journal of Business Research, Elsevier, vol. 66(7), pages 864-870.
    19. Chen, Lei-Da & Tan, Justin, 2004. "Technology Adaptation in E-commerce:: Key Determinants of Virtual Stores Acceptance," European Management Journal, Elsevier, vol. 22(1), pages 74-86, February.
    20. 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.
    21. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    22. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    23. San Martín, Héctor & Herrero, Ángel, 2012. "Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework," Tourism Management, Elsevier, vol. 33(2), pages 341-350.
    24. Dickinger, Astrid & Kleijnen, Mirella, 2008. "Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 23-39.
    25. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
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    3. Melović, Boban & Šehović, Damir & Karadžić, Vesna & Dabić, Marina & Ćirović, Dragana, 2021. "Determinants of Millennials' behavior in online shopping – Implications on consumers’ satisfaction and e-business development," Technology in Society, Elsevier, vol. 65(C).

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