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Factors affecting chatbots in banking services: the UTAUT2 and innovation resistance theory perspective

Author

Listed:
  • Zericho R. Marak

    (Symbiosis Centre for Management Studies, Nagpur Campus, Symbiosis International (Deemed University))

  • Subhajit Pahari

    (Woxsen University)

  • Rishabh Shekhar

    (Symbiosis Centre for Management Studies, Nagpur Campus, Symbiosis International (Deemed University))

  • Ashish Tiwari

    (Symbiosis International (Deemed University))

Abstract

This paper aims to investigate the factors affecting the users’ intention to use chatbots for banking service requirements. Based on the survey of 194 individuals, a partial least square and structural equation modelling (PLS–SEM) is employed to examine the factors affecting behavioural intention. Furthermore, a sub-sample analysis based on age (Gen Z and older age individuals) is performed to uncover the unique effects of various factors depending on the age groups. We find the positive effect of hedonic motivation, performance expectancy and social influence on behavioural intention, whereas the risk barrier has a negative effect on behavioural intention. Further sub-sample analysis reveals interesting results. Hedonic motivation’s effect is observed only for Gen Z individuals, whereas the effect of social influence is observed only for the older age groups. The effects of performance expectancy and risk barrier are observed for both the sub-samples. The current study contributes to the extant literature in two ways. First, the findings contribute to the ongoing research on the application of Artificial Intelligence (AI) in general and chatbots in particular. Though there is growing research on chatbots in the last few years, there is a lack of empirical studies on chatbots for banking services specifically. Second, this study empirically validates the UTAUT2 and IRT theories, particularly the fusion of the two in explaining the innovation adoption.

Suggested Citation

  • Zericho R. Marak & Subhajit Pahari & Rishabh Shekhar & Ashish Tiwari, 2025. "Factors affecting chatbots in banking services: the UTAUT2 and innovation resistance theory perspective," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-27, December.
    • Handle: RePEc:spr:joiaen:v:14:y:2025:i:1:d:10.1186_s13731-025-00514-8
    DOI: 10.1186/s13731-025-00514-8
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    1. 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.
    2. 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.
    3. Nicky Terblanche & Martin Kidd, 2022. "Adoption Factors and Moderating Effects of Age and Gender That Influence the Intention to Use a Non-Directive Reflective Coaching Chatbot," SAGE Open, , vol. 12(2), pages 21582440221, May.
    4. Shanmugavel, Nagarajan & Balakrishnan, Janarthanan, 2023. "Influence of pro-environmental behaviour towards behavioural intention of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    6. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    7. Mullins, Jeffrey K. & Cronan, Timothy Paul, 2021. "Enterprise systems knowledge, beliefs, and attitude: A model of informed technology acceptance," International Journal of Information Management, Elsevier, vol. 59(C).
    8. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    9. Lin Li & Kyung Young Lee & Emmanuel Emokpae & Sung-Byung Yang, 2021. "What makes you continuously use chatbot services? Evidence from chinese online travel agencies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 575-599, September.
    10. Chakraborty, Debarun & Singu, Hari Babu & Patre, Smruti, 2022. "Fitness Apps's purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT)," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    11. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Ali, Mahmood & Zhou, Li & Miller, Lloyd & Ieromonachou, Petros, 2016. "User resistance in IT: A literature review," International Journal of Information Management, Elsevier, vol. 36(1), pages 35-43.
    13. Giulia Pavon & Lars Meyer-Waarden & Thanida Poocharoentou & Piyanut Prayatsup & Maelis Ratinaud & Sara Torne, 2020. "How Service Quality Influences Customer Acceptance and Usage of Chatbots?," Post-Print hal-03145866, HAL.
    14. Meyer-Waarden, Lars & Pavone, Giulia & Poocharoentou, Thanida & Prayatsup, Piyanut & Ratinaud, Maëlis & Tison, Agathe & Torné, Sara, 2020. "How Service Quality Influences Customer Acceptance and Usage of Chatbots?," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(1), pages 35-51.
    15. Kaur, Puneet & Dhir, Amandeep & Singh, Naveen & Sahu, Ganesh & Almotairi, Mohammad, 2020. "An innovation resistance theory perspective on mobile payment solutions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    16. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    17. Noor Irliana Mohd Rahim & Noorminshah A. Iahad & Ahmad Fadhil Yusof & Mohammed A. Al-Sharafi, 2022. "AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    18. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    19. Chaouali, Walid & Souiden, Nizar, 2019. "The role of cognitive age in explaining mobile banking resistance among elderly people," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 342-350.
    20. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    21. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
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