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Using artificial intelligence for hiring talents in a moderated mechanism

Author

Listed:
  • Muhaiminul Islam

    (University of Dhaka)

  • Md. Mahbubur Rahman

    (University of Dhaka)

  • Md. Abu Taher

    (University Grants Commission of Bangladesh)

  • G. M. Azmal Ali Quaosar

    (Department of Management Studies, Comilla University)

  • Md. Aftab Uddin

    (University of Chittagong)

Abstract

Globally, artificial intelligence (AI) occupies a burgeoning space among recruiters as it replaces many of the recruitment and selection tasks while hiring the talents. Despite the existence and acceptance of AI being unprecedented among savvy recruiters, the study of it in developing countries’ contexts is still at a fancy stage. Particularly, the extant literature documented that very little is known about the intention and actual use (AU) of AI to hire talents with the intervening effects of voluntariness of usage (VU), tenure, and education of the recruiters elsewhere. Hence, using the doctrine of the extended unified theory of acceptance and use of technology (UTAUT), the present study aims to unpack the intention and AU of AI among hiring professionals in the context of Bangladesh, a developing country in the South Asian region. A multi-item questionnaire survey was employed to collect the data of recruiters from talent acquisition departments in both manufacturing and service organizations with a convenience sampling technique. We used partial least square-based structural equation modeling (PLS-SEM) version 4.0.8.9 to analyze the data. Results showed that performance expectancy (PE), facilitating conditions (FC), and hedonic motivation (HM) have a significant influence on the intention to use (IU) AI (p

Suggested Citation

  • Muhaiminul Islam & Md. Mahbubur Rahman & Md. Abu Taher & G. M. Azmal Ali Quaosar & Md. Aftab Uddin, 2024. "Using artificial intelligence for hiring talents in a moderated mechanism," Future Business Journal, Springer, vol. 10(1), pages 1-16, December.
    • Handle: RePEc:spr:futbus:v:10:y:2024:i:1:d:10.1186_s43093-024-00303-x
    DOI: 10.1186/s43093-024-00303-x
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    1. Jong-Chul Oh & Sung-Joon Yoon, 2014. "Predicting the use of online information services based on a modified UTAUT model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(7), pages 716-729, July.
    2. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    3. Rajendra Akerkar, 2019. "Artificial Intelligence for Business," SpringerBriefs in Business, Springer, number 978-3-319-97436-1, October.
    4. Normalini & Kassim & T. Ramayah & Sherah Kurnia, 2012. "Antecedents and outcomes of human resource information system (HRIS) use," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 61(6), pages 603-623, July.
    5. Hasan Zahid & Badariah Haji Din, 2019. "Determinants of Intention to Adopt E-Government Services in Pakistan: An Imperative for Sustainable Development," Resources, MDPI, vol. 8(3), pages 1-25, July.
    6. Isaac Kofi Mensah, 2019. "Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China," SAGE Open, , vol. 9(2), pages 21582440198, June.
    7. Waseem Ahmad Khan & Zain Ul Abideen, 2023. "Effects of behavioural intention on usage behaviour of digital wallet: the mediating role of perceived risk and moderating role of perceived service quality and perceived trust," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    8. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    9. Md Suliman Hossin & Mohammad Arije Ulfy & Idris Ali & Md.Wasiul Karim, 2021. "Challenges in Adopting Artificial Intelligence (AI) in HRM Practices: A study on Bangladesh Perspective," Working Articles, International Fellowship Journal of Interdisciplinary Research, vol. 1(1), pages 66-73.
    10. Ajoy Ketan Sarangi & Rudra Prakash Pradhan, 2020. "ICT infrastructure and economic growth: a critical assessment and some policy implications," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 363-383, December.
    11. Dul, Jan, 2016. "Identifying single necessary conditions with NCA and fsQCA," Journal of Business Research, Elsevier, vol. 69(4), pages 1516-1523.
    12. Kashfia Maisha & Sabakun Naher Shetu, 2023. "Influencing factors of e-learning adoption amongst students in a developing country: the post-pandemic scenario in Bangladesh," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    13. Malik, Mehreen, 2020. "A Review of empirical research on Internet & Mobile banking in developing countries using UTAUT Model during the period 2015 to April 2020," Journal of Internet Banking and Commerce, , vol. 25(02), pages 01-22, February.
    14. Malik, Mehreen, 2020. "A Review of empirical research on Internet & Mobile banking in developing countries using UTAUT Model during the period 2015 to April 2020," Journal of Internet Banking and Commerce, , vol. 25(02), pages 01-22, February.
    15. 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.
    16. Sabakun Naher Shetu & Md. Muzahidul Islam & Sadia Islam Promi, 2022. "An Empirical Investigation of the Continued Usage Intention of Digital Wallets: The Moderating Role of Perceived Technological Innovativeness," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    17. 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.
    18. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    19. Abhishek Behl & Meena Chavan & Kokil Jain & Isha Sharma & Vijay Edward Pereira & Justin Zuopeng Zhang, 2021. "The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 569-586, July.
    20. Yan Shi & Abu Bakkar Siddik & Mohammad Masukujjaman & Guangwen Zheng & Muhammad Hamayun & Abdullah Mohammed Ibrahim, 2022. "The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    21. Bilal HMOUD & Varallyai LASZLO, 2019. "Will Artificial Intelligence Take Over Humanresources Recruitment And Selection?," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 13, pages 21-30, July.
    22. Lambert Kofi Osei & Yuliya Cherkasova & Kofi Mintah Oware, 2023. "Unlocking the full potential of digital transformation in banking: a bibliometric review and emerging trend," Future Business Journal, Springer, vol. 9(1), pages 1-18, December.
    23. Bangaly Kaba & Bakary Touré, 2014. "Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(8), pages 1662-1674, August.
    24. 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.
    25. 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.
    26. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    27. Patil, Pushp & Tamilmani, Kuttimani & Rana, Nripendra P. & Raghavan, Vishnupriya, 2020. "Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal," International Journal of Information Management, Elsevier, vol. 54(C).
    28. 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).
    29. Jacky Chin & Shu-Chiang Lin, 2016. "A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    30. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    31. Pejman Ebrahimi & Datis Khajeheian & Maria Fekete-Farkas, 2021. "A SEM-NCA Approach towards Social Networks Marketing: Evaluating Consumers’ Sustainable Purchase Behavior with the Moderating Role of Eco-Friendly Attitude," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
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