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Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective

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  • Badghish, Saeed
  • Shaik, Aqueeb Sohail
  • Sahore, Nidhi
  • Srivastava, Shalini
  • Masood, Ayesha

Abstract

This paper examines, through the lens of social learning theory, the possibility of transactional use of AI-controlled voice assistants for service delivery to pick up speed in the near future (SLT). In this work, we use the Partial Least Square Structural Equation Modeling (PLS-SEM), (N = 316), to test the suggested model. The SLT, which contends that learning is a social process that occurs via observation and imitation of other people's behaviour, is the foundation of the study's theoretical framework. The study discovered that the perceived usefulness of AI Voice assistants, technological attractiveness, and technological trust can all have an impact on the transactional use of AI-controlled voice assistants for service delivery. According to the study's findings, all three variables were directly related to the transactional use of AI-controlled voice assistants and were also mediated by behavioural intention. Results also indicated that increasing users' perceptions of the technology's usefulness and ease of use will speed up the adoption of transactional use of AI-controlled VAs for service delivery. The study also emphasises the significance of customer churn and social resistance in influencing customers' attitudes towards technology and willingness to adopt it. Findings also highlight the necessity for businesses to consider the elements that impact the customers' adoption and offer insightful arguments of how the potential of AI-controlled VAs for service delivery is to accelerate in the coming future.

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  • Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006571
    DOI: 10.1016/j.techfore.2023.122972
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    1. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Benedict G. C. Dellaert & Suzanne B. Shu & Theo A. Arentze & Tom Baker & Kristin Diehl & Bas Donkers & Nathanael J. Fast & Gerald Häubl & Heidi Johnson & Uma R. Karmarkar & Harmen Oppewal & Bernd H. S, 2020. "Consumer decisions with artificially intelligent voice assistants," Marketing Letters, Springer, vol. 31(4), pages 335-347, December.
    3. Zhen Wang & Lu Xing & Haoying Xu & Sean T. Hannah, 2021. "Not All Followers Socially Learn from Ethical Leaders: The Roles of Followers’ Moral Identity and Leader Identification in the Ethical Leadership Process," Journal of Business Ethics, Springer, vol. 170(3), pages 449-469, May.
    4. Vieira, Alessandro Diogo & Leite, Higor & Volochtchuk, Ana Vitória Lachowski, 2022. "The impact of voice assistant home devices on people with disabilities: A longitudinal study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    5. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    6. Adu-Gyamfi, Gibbson & Song, Huaming & Asamoah, Ama Nyarko & Li, Liang & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Towards sustainable vehicular transport: Empirical assessment of battery swap technology adoption in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Sherry E. Moss & Meng Song & Sean T. Hannah & Zhen Wang & John J. Sumanth, 2020. "The Duty to Improve Oneself: How Duty Orientation Mediates the Relationship Between Ethical Leadership and Followers’ Feedback-Seeking and Feedback-Avoiding Behavior," Journal of Business Ethics, Springer, vol. 165(4), pages 615-631, September.
    8. Jones, Valerie K., 2022. "Why people use virtual assistants: Understanding engagement with Alexa," Journal of Brand Strategy, Henry Stewart Publications, vol. 11(1), pages 80-101, June.
    9. Magni, Domitilla & Scuotto, Veronica & Pezzi, Alberto & Giudice, Manlio Del, 2021. "Employees’ acceptance of wearable devices: Towards a predictive model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    10. Hsieh, Pi-Jung & Lai, Hui-Min, 2020. "Exploring people's intentions to use the health passbook in self-management: An extension of the technology acceptance and health behavior theoretical perspectives in health literacy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    11. Rabassa, Valérie & Sabri, Ouidade & Spaletta, Claire, 2022. "Conversational commerce: Do biased choices offered by voice assistants’ technology constrain its appropriation?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Malodia, Suresh & Kaur, Puneet & Ractham, Peter & Sakashita, Mototaka & Dhir, Amandeep, 2022. "Why do people avoid and postpone the use of voice assistants for transactional purposes? A perspective from decision avoidance theory," Journal of Business Research, Elsevier, vol. 146(C), pages 605-618.
    13. Jillian Dawes Farquhar, 2005. "Retaining customers in UK financial services: The retailers' tale," The Service Industries Journal, Taylor & Francis Journals, vol. 25(8), pages 1029-1044, December.
    14. Yuntao Bai & Lili Lu & Li Lin-Schilstra, 2022. "Auxiliaries to Abusive Supervisors: The Spillover Effects of Peer Mistreatment on Employee Performance," Journal of Business Ethics, Springer, vol. 178(1), pages 219-237, June.
    15. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    16. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    17. Kubilay Gok & John J. Sumanth & William H. Bommer & Ozgur Demirtas & Aykut Arslan & Jared Eberhard & Ali Ihsan Ozdemir & Ahmet Yigit, 2017. "You May Not Reap What You Sow: How Employees’ Moral Awareness Minimizes Ethical Leadership’s Positive Impact on Workplace Deviance," Journal of Business Ethics, Springer, vol. 146(2), pages 257-277, December.
    18. McLean, Graeme & Osei-Frimpong, Kofi & Barhorst, Jennifer, 2021. "Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement," Journal of Business Research, Elsevier, vol. 124(C), pages 312-328.
    19. Hu, Peng & Gong, Yeming & Lu, Yaobin & Ding, Amy Wenxuan, 2023. "Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 109-127.
    20. Yan, Min & Filieri, Raffaele & Raguseo, Elisabetta & Gorton, Matthew, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    21. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    22. Poushneh, Atieh, 2021. "Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    23. Rodgers, Waymond & Yeung, Fannie & Odindo, Christopher & Degbey, William Y., 2021. "Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior," Journal of Business Research, Elsevier, vol. 126(C), pages 401-414.
    24. Lalicic, Lidija & Weismayer, Christian, 2021. "Consumers’ reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents," Journal of Business Research, Elsevier, vol. 129(C), pages 891-901.
    25. Lee, Sungjoo & Lee, Hakyeon & Lee, Changyong, 2020. "Open innovation at the national level: Towards a global innovation system," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    26. Meijering, Jurian V. & Tobi, Hilde, 2016. "The effect of controlled opinion feedback on Delphi features: Mixed messages from a real-world Delphi experiment," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 166-173.
    27. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    28. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    29. Verena Gruber & Bodo Schlegelmilch, 2014. "How Techniques of Neutralization Legitimize Norm- and Attitude-Inconsistent Consumer Behavior," Journal of Business Ethics, Springer, vol. 121(1), pages 29-45, April.
    30. Jin, Haofeng, 2022. "The effect of overspending on tariff choices and customer churn: Evidence from mobile plan choices," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    31. Crittenden, William F., 2005. "A social learning theory of cross-functional case education," Journal of Business Research, Elsevier, vol. 58(7), pages 960-966, July.
    32. Jones, Valerie K., 2018. "Voice-activated change: Marketing in the age of artificial intelligence and virtual assistants," Journal of Brand Strategy, Henry Stewart Publications, vol. 7(3), pages 233-245, December.
    33. Poushneh, Atieh, 2021. "Impact of auditory sense on trust and brand affect through auditory social interaction and control," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    34. Barnes, Stuart J. & Mattsson, Jan, 2017. "Understanding collaborative consumption: Test of a theoretical model," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 281-292.
    35. Talwar, Shalini & Dhir, Amandeep & Singh, Dilraj & Virk, Gurnam Singh & Salo, Jari, 2020. "Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    36. 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).
    37. Joanna Ejdys, 2018. "Building technology trust in ICT application at a university," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 13(5), pages 980-997, November.
    38. Amanuel G. Tekleab & Paul M. Reagan & Boram Do & Ariel Levi & Cary Lichtman, 2021. "Translating Corporate Social Responsibility into Action: A Social Learning Perspective," Journal of Business Ethics, Springer, vol. 171(4), pages 741-756, July.
    39. Ans Kolk & Willemijn Dolen & Marlene Vock, 2010. "Trickle Effects of Cross-Sector Social Partnerships," Journal of Business Ethics, Springer, vol. 94(1), pages 123-137, July.
    40. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    41. Chaudhary, Sanjay & Kaur, Puneet & Talwar, Shalini & Islam, Nazrul & Dhir, Amandeep, 2022. "Way off the mark? Open innovation failures: Decoding what really matters to chart the future course of action," Journal of Business Research, Elsevier, vol. 142(C), pages 1010-1025.
    42. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    43. Yuen, Kum Fai & Chua, Jessana & Li, Kevin X. & Wang, Xueqin, 2022. "Consumer's adoption of virtual reality technologies for marine conservation: Motivational and technology acceptance perspectives," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    44. Sweeney, Jill & Swait, Joffre, 2008. "The effects of brand credibility on customer loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 15(3), pages 179-193.
    45. Lu, Xinxin & Xie, Baoguo & Guo, Yongxing, 2018. "The trickle-down of work engagement from leader to follower: The roles of optimism and self-efficacy," Journal of Business Research, Elsevier, vol. 84(C), pages 186-195.
    46. Djimesah, Isaac Edem & Zhao, Hongjiang & Okine, Agnes Naa Dedei & Li, Yao & Duah, Elijah & Kissi Mireku, Kingsford, 2022. "Analyzing the technology of acceptance model of Ghanaian crowdfunding stakeholders," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    47. Chandra, Shalini & Shirish, Anuragini & Srivastava, Shirish C., 2020. "Theorizing technological spatial intrusion for ICT enabled employee innovation: The mediating role of perceived usefulness," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    48. Chen, Xihui & You, Xuyuan & Chang, Victor, 2021. "FinTech and commercial banks' performance in China: A leap forward or survival of the fittest?," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    49. Shareef, Mahmud Akhter & Kumar, Vinod & Dwivedi, Yogesh K. & Kumar, Uma & Akram, Muhammad Shakaib & Raman, Ramakrishnan, 2021. "A new health care system enabled by machine intelligence: Elderly people's trust or losing self control," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    50. Shankar, Amit & Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Sharma, Piyush, 2022. "Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework," Technovation, Elsevier, vol. 117(C).
    51. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    52. Zhen Wang & Haoying Xu & Yukun Liu, 2018. "How Does Ethical Leadership Trickle Down? Test of an Integrative Dual-Process Model," Journal of Business Ethics, Springer, vol. 153(3), pages 691-705, December.
    53. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    54. Zapan Barua & Wang Aimin & Xu Hongyi, 2018. "A perceived reliability-based customer satisfaction model in self-service technology," The Service Industries Journal, Taylor & Francis Journals, vol. 38(7-8), pages 446-466, June.
    55. Lu, Liyan & Liang, Changyong & Gu, Dongxiao & Ma, Yiming & Xie, Yuguang & Zhao, Shuping, 2021. "What advantages of blockchain affect its adoption in the elderly care industry? A study based on the technology–organisation–environment framework," Technology in Society, Elsevier, vol. 67(C).
    56. Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    57. 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.
    58. Nancy K. Lankton & D. Harrison McKnight & Ryan T. Wright & Jason Bennett Thatcher, 2016. "Research Note—Using Expectation Disconfirmation Theory and Polynomial Modeling to Understand Trust in Technology," Information Systems Research, INFORMS, vol. 27(1), pages 197-213, March.
    59. Sun, Yang, 2021. "Case based models of the relationship between consumer resistance to innovation and customer churn," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    60. Pablo Ruiz-Palomino & Ricardo Martínez-Cañas, 2014. "Ethical Culture, Ethical Intent, and Organizational Citizenship Behavior: The Moderating and Mediating Role of Person–Organization Fit," Journal of Business Ethics, Springer, vol. 120(1), pages 95-108, March.
    61. Kautish, Pradeep & Purohit, Sonal & Filieri, Raffaele & Dwivedi, Yogesh K., 2023. "Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    62. Yuntao Bai & Lili Lu & Li Lin-Schilstra, 2022. "Correction to: Auxiliaries to Abusive Supervisors: The Spillover Effects of Peer Mistreatment on Employee Performance," Journal of Business Ethics, Springer, vol. 178(1), pages 239-239, June.
    63. Mwesiumo, Deodat & Glavee-Geo, Richard & Olsen, Kjetil Magnus & Svenning, Geir Arne, 2021. "Improving public purchaser attitudes towards public procurement of innovations," Technovation, Elsevier, vol. 101(C).
    64. Kuei-Kuei Lai & Chien-Yu Lin & Yu-Hsin Chang & Ming-Chung Yang & Wen-Goang Yang, 2017. "A structured approach to explore technological competencies through R&D portfolio of photovoltaic companies by patent statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1327-1351, June.
    65. Bawack, Ransome Epie & Wamba, Samuel Fosso & Carillo, Kevin Daniel André, 2021. "Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative comparative analysis," International Journal of Information Management, Elsevier, vol. 58(C).
    66. Lee, Jong-Ho & Garrett, Tony C. & Self, Donald R. & Findley Musgrove, Carolyn S. (Casey), 2012. "Expressive versus instrumental functions on technology attractiveness in the UK and Korea," Journal of Business Research, Elsevier, vol. 65(11), pages 1600-1605.
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