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Embedding Technology Interface and Digital Payment Drivers in the Unified Theory of Acceptance and Use of Technology 2 Model: Transforming Behavioral Intention to Sustained Intention

Author

Listed:
  • Savita Gupta

    (Thapar Institute of Engineering and Technology, School of Humanities and Social Sciences, Patiala 147004, India)

  • Ravi Kiran

    (Thapar Institute of Engineering and Technology, School of Humanities and Social Sciences, Patiala 147004, India)

  • Rakesh Kumar Sharma

    (Thapar Institute of Engineering and Technology, School of Humanities and Social Sciences, Patiala 147004, India)

Abstract

Purpose: The present study was undertaken with the purpose of embedding Technology Interface drivers and Digital Payment drivers as additional drivers in the Unified Theory of Acceptance and Use of Technology (UTAUT2) to examine their influence on the Behavioral Intention of online shoppers. Technology Interface drivers include chatbots (CBs) and virtual try-on (VTO) technology. Further, this study also links Behavioral Intention with Sustained Intention to analyze whether it translates into repeated online buying. Research Methods: The study is based on a survey instrument using snowball sampling with data collected from 600 consumers from northern India. The study uses PLS-SEM for gauging the association of UTAUT2 drivers, Technology Interface drivers, and Digital Payment drivers with Behavioral Intention. Findings/Results: The results show a positive and significant association with Behavioral Intention of Technology Interface drivers and Digital Payment drivers as additional drivers to UTAUT2 drivers. UTAUT2 drivers had the highest impact (β: 0.465), followed by Digital Payment and Technology Interface drivers (β: 0.263 and β: 0.211). Further examination suggests a positive impact of Behavioral Intention on Sustained Intention (β: 0.868). The outcomes reflect that the model explained 69.5% of the variation in Behavioral Intention and 75.4% of the variation in Sustained Intention. Implications: The study suggests that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience. Technology Interface drivers have a comparatively lower coefficient, indicating that in India, they are yet to reach the optimum level for consumers to adopt them fully. Efforts to transform Behavioral Intention into repeated online buying or Sustained Intention may go a long way in building a strong, committed community of online sellers to assist in enhancing customer experience.

Suggested Citation

  • Savita Gupta & Ravi Kiran & Rakesh Kumar Sharma, 2023. "Embedding Technology Interface and Digital Payment Drivers in the Unified Theory of Acceptance and Use of Technology 2 Model: Transforming Behavioral Intention to Sustained Intention," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13018-:d:1228092
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    References listed on IDEAS

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    1. Tzu-Hsin Chu & Cheng-Min Chao & Hsieh-Hsi Liu & Der-Fa Chen, 2022. "Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators," SAGE Open, , vol. 12(4), pages 21582440221, December.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    4. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    5. Ramon Palau-Saumell & Santiago Forgas-Coll & Javier Sánchez-García & Emilio Robres, 2019. "User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    6. Liebrecht, Christine & Tsaousi, Christina & van Hooijdonk, Charlotte, 2021. "Linguistic elements of conversational human voice in online brand communication: Manipulations and perceptions," Journal of Business Research, Elsevier, vol. 132(C), pages 124-135.
    7. Naciye Güliz Uğur & Aykut Hamit Turan, 2018. "RETRACTED ARTICLE: E-learning adoption of academicians: a proposal for an extended model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 37(4), pages 393-405, April.
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