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Exploring consumer intentions to continue: Integrating task technology fit and social technology fit in generative AI based shopping platforms

Author

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  • Chakraborty, Debarun
  • Troise, Ciro
  • Bresciani, Stefano

Abstract

This study explores the significance of task-technology fit (TTF) and social-technology fit (STF) in generative AI-based shopping platforms. Examination of this integration can assume importance for generative AI-based shopping platforms that can drive consumer intentions to continue using, ensuring long-term engagement and platform success. The study evaluates how these alignments influence users' satisfaction, perceived usefulness, and intention to continue using the platform. A mixed methodology approach was used in the study, and exploratory and confirmatory analyses were conducted. In the exploratory study, 27 respondents provided their responses; in study 2, which is confirmatory, 472 participants answered the questions. Generative AI can handle complex tasks and accommodate various user needs to enhance the platform's efficiency and overall user experience. In addition, the study focuses on social factors such as trust and community engagement, which influence user satisfaction and the effectiveness of the platform being used. Gender differences are also considered in the study by examining how these affect users' interactions with AI features. Gender differences significantly influence satisfaction and continued use of generative AI-based shopping platforms, highlighting the need for personalized and diverse AI features to cater to varied user preferences. These results provide detailed suggestions and worthwhile practices for developing AI-based shopping platforms that would appeal to their users in the long run and satisfy their emerging needs and preferences. Practical implications show the importance of deploying AI tasks that fit most business needs in order to promote scalability, community needs, personalization based on the gender of the user, and ethical considerations in order to promote the proper use of AI in business. These findings offer practical guidance for enhancing user engagement through tailored AI features.

Suggested Citation

  • Chakraborty, Debarun & Troise, Ciro & Bresciani, Stefano, 2025. "Exploring consumer intentions to continue: Integrating task technology fit and social technology fit in generative AI based shopping platforms," Technovation, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:techno:v:142:y:2025:i:c:s0166497225000215
    DOI: 10.1016/j.technovation.2025.103189
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    References listed on IDEAS

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    1. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    2. Ritala, Paavo & Aaltonen, Päivi & Ruokonen, Mika & Nemeh, Andre, 2024. "Developing industrial AI capabilities: An organisational learning perspective," Technovation, Elsevier, vol. 138(C).
    3. L. Metcalf & S. Benn, 2012. "The Corporation is Ailing Social Technology: Creating a ‘Fit for Purpose’ Design for Sustainability," Journal of Business Ethics, Springer, vol. 111(2), pages 195-210, December.
    4. Mojtaba Vaismoradi & Hannele Turunen & Terese Bondas, 2013. "Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study," Nursing & Health Sciences, John Wiley & Sons, vol. 15(3), pages 398-405, September.
    5. Zhao, Ling & Lu, Yaobin & Wang, Bin & Chau, Patrick Y.K. & Zhang, Long, 2012. "Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective," International Journal of Information Management, Elsevier, vol. 32(6), pages 574-588.
    6. Tehrani, Ali N. & Ray, Subhasis & Roy, Sanjit K. & Gruner, Richard L. & Appio, Francesco P., 2024. "Decoding AI readiness: An in-depth analysis of key dimensions in multinational corporations," Technovation, Elsevier, vol. 131(C).
    7. Knut H. Rolland & Lars Mathiassen & Arun Rai, 2018. "Managing Digital Platforms in User Organizations: The Interactions Between Digital Options and Digital Debt," Information Systems Research, INFORMS, vol. 29(2), pages 419-443, June.
    8. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    9. Lu, Hsi-Peng & Cheng, Hsiang-Ling & Tzou, Jen-Chuen & Chen, Chiao-Shan, 2023. "Technology roadmap of AI applications in the retail industry," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    10. Nisreen Ameen & Ali Tarhini & Alexander Reppel & Amitabh Anand, 2021. "Customer experiences in the age of artificial intelligence," Post-Print halshs-03045430, HAL.
    11. Eisenreich, Anja & Just, Julian & Gimenez-Jimenez, Daniela & Füller, Johann, 2024. "Revolution or inflated expectations? Exploring the impact of generative AI on ideation in a practical sustainability context," Technovation, Elsevier, vol. 138(C).
    12. Jagjit Singh Srai & Mukesh Kumar & Gary Graham & Wendy Phillips & James Tooze & Simon Ford & Paul Beecher & Baldev Raj & Mike Gregory & Manoj Kumar Tiwari & B. Ravi & Andy Neely & Ravi Shankar & Fiona, 2016. "Distributed manufacturing: scope, challenges and opportunities," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6917-6935, December.
    13. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    14. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
    15. Liao, Chechen & Palvia, Prashant & Chen, Jain-Liang, 2009. "Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)," International Journal of Information Management, Elsevier, vol. 29(4), pages 309-320.
    16. Baabdullah, Abdullah M., 2024. "Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    17. Yim, Mark Yi-Cheon & Chu, Shu-Chuan & Sauer, Paul L., 2017. "Is Augmented Reality Technology an Effective Tool for E-commerce? An Interactivity and Vividness Perspective," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 89-103.
    18. Chakraborty, Debarun & Kumar Kar, Arpan & Patre, Smruti & Gupta, Shivam, 2024. "Enhancing trust in online grocery shopping through generative AI chatbots," Journal of Business Research, Elsevier, vol. 180(C).
    19. Tseng, Hsiao-Ting & Ibrahim, Fahad & Hajli, Nick & Nisar, Tahir M. & Shabbir, Haseeb, 2022. "Effect of privacy concerns and engagement on social support behaviour in online health community platforms," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    20. Goel, Pooja & Parayitam, Satyanarayana & Sharma, Anuj & Rana, Nripendra P. & Dwivedi, Yogesh K, 2022. "A moderated mediation model for e-impulse buying tendency, customer satisfaction and intention to continue e-shopping," Journal of Business Research, Elsevier, vol. 142(C), pages 1-16.
    21. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    22. Modgil, Sachin & Gupta, Shivam & Kar, Arpan Kumar & Tuunanen, Tuure, 2025. "How could Generative AI support and add value to non-technology companies – A qualitative study," Technovation, Elsevier, vol. 139(C).
    23. Mariani, Marcello & Dwivedi, Yogesh K., 2024. "Generative artificial intelligence in innovation management: A preview of future research developments," Journal of Business Research, Elsevier, vol. 175(C).
    24. Dwivedi, Yogesh K. & Sharma, Anuj & Rana, Nripendra P. & Giannakis, Mihalis & Goel, Pooja & Dutot, Vincent, 2023. "Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    25. Jovanovic, Marin & Sjödin, David & Parida, Vinit, 2022. "Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms," Technovation, Elsevier, vol. 118(C).
    26. Jian Mou & Dong-Hee Shin & Jason Cohen, 2017. "Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(2), pages 125-139, February.
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