IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v308y2022i1d10.1007_s10479-020-03918-9.html
   My bibliography  Save this article

Adoption and use of AI tools: a research agenda grounded in UTAUT

Author

Listed:
  • Viswanath Venkatesh

    (Virginia Tech)

Abstract

This paper is motivated by the widespread availability of AI tools, whose adoption and consequent benefits are still not well understood. As a first step, some critical issues that relate to AI tools in general, humans in the context of AI tools, and AI tools in the context of operations management are identified. A discussion of how these issues could hinder employee adoption and use of AI tools is presented. Building on this discussion, the unified theory of acceptance and use of technology is used as a theoretical basis to propose individual characteristics, technology characteristics, environmental characteristics and interventions as viable research directions that could not only contribute to the adoption literature, particularly as it relates to AI tools, but also, if pursued, such research could help organizations positively influence the adoption of AI tools.

Suggested Citation

  • Viswanath Venkatesh, 2022. "Adoption and use of AI tools: a research agenda grounded in UTAUT," Annals of Operations Research, Springer, vol. 308(1), pages 641-652, January.
    • Handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03918-9
    DOI: 10.1007/s10479-020-03918-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-020-03918-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-020-03918-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    3. Yuanbin Wang & Yuan Lin & Ray Y. Zhong & Xun Xu, 2019. "IoT-enabled cloud-based additive manufacturing platform to support rapid product development," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3975-3991, June.
    4. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    5. Lionel P. Robert Jr. & Tracy Ann Sykes, 2017. "Extending the Concept of Control Beliefs: Integrating the Role of Advice Networks," Information Systems Research, INFORMS, vol. 28(1), pages 84-96, March.
    6. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    7. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    8. Viswanath Venkatesh & Hillol Bala & V. Sambamurthy, 2016. "Implementation of an Information and Communication Technology in a Developing Country: A Multimethod Longitudinal Study in a Bank in India," Information Systems Research, INFORMS, vol. 27(3), pages 558-579, September.
    9. Viswanath Venkatesh & James Y. L. Thong & Frank K. Y. Chan & Paul J. H. Hu, 2016. "Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust," Information Systems Research, INFORMS, vol. 27(1), pages 87-111, March.
    10. Paul Jen‐Hwa Hu & Susan A. Brown & James Y.L. Thong & Frank K.Y. Chan & Kar Yan Tam, 2009. "Determinants of service quality and continuance intention of online services: The case of eTax," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 292-306, February.
    11. Anton Kocheturov & Panos M. Pardalos & Athanasia Karakitsiou, 2019. "Massive datasets and machine learning for computational biomedicine: trends and challenges," Annals of Operations Research, Springer, vol. 276(1), pages 5-34, May.
    12. Susan A. Brown & Viswanath Venkatesh & Sandeep Goyal, 2012. "Expectation Confirmation in Technology Use," Information Systems Research, INFORMS, vol. 23(2), pages 474-487, June.
    13. Talayeh Razzaghi & Ilya Safro & Joseph Ewing & Ehsan Sadrfaridpour & John D. Scott, 2019. "Predictive models for bariatric surgery risks with imbalanced medical datasets," Annals of Operations Research, Springer, vol. 280(1), pages 1-18, September.
    14. Likoebe M. Maruping & Hillol Bala & Viswanath Venkatesh & Susan A. Brown, 2017. "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 623-637, March.
    15. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    16. Viswanath Venkatesh & Xiaojun Zhang, 2010. "Unified Theory of Acceptance and Use of Technology: U.S. Vs. China," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 13(1), pages 5-27, January.
    17. 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.
    18. Paolo Priore & Borja Ponte & Rafael Rosillo & David de la Fuente, 2019. "Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3663-3677, June.
    19. Jinxin Pan & Shuai Ding & Desheng Wu & Shanlin Yang & Jun Yang, 2019. "Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5801-5820, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ta Thi Nguyet Trang & Pham Chien Thang & Le Dinh Hai & Vi Thi Phuong & Tran Quang Quy, 2024. "Understanding the Adoption of Artificial Intelligence in Journalism: An Empirical Study in Vietnam," SAGE Open, , vol. 14(2), pages 21582440241, May.
    2. Viswanath Venkatesh & James Y. L. Thong & Frank K. Y. Chan & Paul J. H. Hu, 2016. "Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust," Information Systems Research, INFORMS, vol. 27(1), pages 87-111, March.
    3. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    4. Sheng Cheng & Liqun Liu & Ke Li, 2020. "Explaining the Factors Influencing the Individuals’ Continuance Intention to Seek Information on Weibo during Rainstorm Disasters," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    5. 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.
    6. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    7. Nathan Hopkins & Mary Tate & Allan Sylvester & David Johnstone, 2017. "Motivations for 21st century school children to bring their own device to school," Information Systems Frontiers, Springer, vol. 19(5), pages 1191-1203, October.
    8. Cruz-Jesus, Frederico & Figueira-Alves, Hugo & Tam, Carlos & Pinto, Diego Costa & Oliveira, Tiago & Venkatesh, Viswanath, 2023. "Pragmatic and idealistic reasons: What drives electric vehicle drivers' satisfaction and continuance intention?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    9. S. V. Krishna Kishore & Aloysius Henry Sequeira, 2016. "An Empirical Investigation on Mobile Banking Service Adoption in Rural Karnataka," SAGE Open, , vol. 6(1), pages 21582440166, March.
    10. Cayetano Medina & Ramón Rufín & Manuel Rey, 2015. "Mediating relationships in and satisfaction with online technologies: communications or features beyond expectations?," Service Business, Springer;Pan-Pacific Business Association, vol. 9(4), pages 587-609, December.
    11. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    12. Wu, Kewen & Zhao, Yuxiang & Zhu, Qinghua & Tan, Xiaojie & Zheng, Hua, 2011. "A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type," International Journal of Information Management, Elsevier, vol. 31(6), pages 572-581.
    13. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    14. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    15. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    16. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    17. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    18. Zehua Li & Jiaran Niu & Zhenzhou Li & Yukun Chen & Yang Wang & Bin Jiang, 2022. "The Impact of Individual Differences on the Acceptance of Self-Driving Buses: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    19. Noopur Saxena & Navneet Gera & Mayur Taneja, 2023. "An empirical study on facilitators and inhibitors of adoption of mobile banking in India," Electronic Commerce Research, Springer, vol. 23(4), pages 2573-2604, December.
    20. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03918-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.