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Adoption of AI in Talent Acquisition: A Conceptual Framework

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Digital Technologies and Applications (ICDTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 454))

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Abstract

Artificial intelligence has limited applicability in human resource management processes despite technological advancements. Talent acquisition is one of the crucial activities where the impact of AI is significantly conspicuous as compared to other HR processes. But implementing AI in this process requires effective adoption of the technology for ensuring operational efficiency. Moreover, there is a lack of conceptual clarity due to the limited scope of the study in this area. Hence, this study proposed a conceptual framework to help academicians and HR professionals adopt AI in talent acquisition and other allied areas of people management. This study reviewed three theories, the Value-based adoption model (V.A.M.), Technology-Organization-Environment (TOE), and the Task-technology fit (TTF) model, to identify the gap and propose a new framework. The traditional models were used in AI adoption, lacking a rational approach. Organizations should adopt Technology that provides maximum value to the organization compared with the costs and benefits. The study also proposed that the traditional TA methods organization and environmental-related factors and stickiness moderated between perceived value and adoption of AI in talent acquisition.

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References

  1. Acharjya, B., Das, S.: Adoption of e-learning during the COVID-19 pandemic: the moderating role of age and gender. Int. J. Web-Based Learn. Teach. Technol. (IJWLTT) 17(2), 1–14 (2022)

    Article  Google Scholar 

  2. Das, S., Acharjya, B.: Understanding organisational effectiveness through sustainable human relations approach: the role of empowerment climate in selected industrial establishments. Int. J. Syst. Dyn. Appl. (IJSDA) 10(2), 33–52 (2021)

    Google Scholar 

  3. Dhamija, P., Bag, S.: Role of artificial intelligence in operations environment: a review and bibliometric analysis. TQM J. (2020). https://doi.org/10.1108/TQM-10-2019-0243

  4. Hogg, P.: Artificial intelligence: HR friend or foe? Strateg. HR Rev. 18(2), 47–51 (2019)

    Article  Google Scholar 

  5. Sivathanu, B.: Adoption of digital payment systems in the era of demonetization in India: an empirical study. J. Sci. Technol. Policy Manag. 10(1), 143–171 (2019)

    Article  Google Scholar 

  6. Bafna, P., Shirwaikar, S., Pramod, D.: Task recommender system using semantic clustering to identify the right personnel. VINE J. Inf. Knowl. Manag. Syst. 49(2) (2019)

    Google Scholar 

  7. Pathomphatthaphan, S., Das, S., Virat, K.: A conceptual approach to HRM practices influencing organizational outcomes and shared values to society: the mediating role of employee outcomes and organizational culture. Organ. Cult. Int. J. 21(2), 19–33 (2021). https://doi.org/10.18848/2327-8013/CGP/v21i02/19-33

    Article  Google Scholar 

  8. Oliveira, T., Martins, R., Sarker, S., Thomas, M., Popovic, A.: Understanding SaaS adoption: the moderating impact of the environment context. Int. J. Inf. Manag. 49, 1–12 (2019)

    Article  Google Scholar 

  9. Bersin, J.: Talent trends technology disruptions for 2018 (2018). https://www.isaconnection.org/assets/documents/2018BersinHRTechDisruptionsReport.pdf

  10. Eubanks, B.: Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce, 1 edn. Kogan Page Ltd., London, NY (2018)

    Google Scholar 

  11. Leong, C.: Technology and recruiting 101: how it works and where it’s going. Strateg. HR Rev. 17(1), 50–52 (2018)

    Article  Google Scholar 

  12. Puklavec, B., Oliveira, T., Popovič, A.: Understanding the determinants of business intelligence system adoption stages an empirical study of SMEs. Ind. Manag. Data Syst. 118(1), 236–261 (2018)

    Google Scholar 

  13. Howard, M.C., Rose, J.C.: Refining and extending task–technology fit theory: the creation of two task–technology fit scales and empirical clarification of the construct. Inf. Manag. (December), 1 (2018)

    Google Scholar 

  14. Scholz, T.M.: Big Data in Organizations and the Role of Human Resource Management: A Complex Systems Theory-Based Conceptualization. Peter Lang International Academic Publishers, Frankfurt (2017)

    Google Scholar 

  15. Khemthong, S., Roberts, L.M.: Adoption of internet and web technology for hotel marketing: a study of hotels in Thailand. J. Law Gov. 1(2), 51–70 (2006)

    Google Scholar 

  16. Depietro, R., Wiarda, E., Fleischer, M.: The context for change: organization, technology, and environment. The processes of technological innovation. Process. Technol. Innov. 199, 151–175 (1990)

    Google Scholar 

  17. Rogers, E.M.: Diffusion of Innovations, 5th ed. Free Press, New York (2003)

    Google Scholar 

  18. Premkumar, G., Roberts, M.: Adoption of new information technologies in rural small businesses. Omega 27, 467–484 (1999)

    Article  Google Scholar 

  19. Jia, Q., Guo, Y., Barnes, S.J.: E2.0 post-adoption: extending the IS continuance model based on the technology-organization-environment framework. In: Proceedings of the International Conference on Electronic Business (ICEB), No. September, pp. 695–707 (2016)

    Google Scholar 

  20. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)

    Article  Google Scholar 

  21. Hameed, M.A., Counsel, S., Swift, S.: Establishing relationships between innovation characteristics and innovation adoption in organizations: a meta-analysis approach. Inf. Manag. 49(5), 218–232 (2012)

    Article  Google Scholar 

  22. Sureshkrishna, G., Simanchala, D.: Occupational stress and job satisfaction: a study of automotive industry in India. Int. J. Mech. Eng. Technol. (IJMET) 9(2), 690–697 (2018)

    Google Scholar 

  23. Hossain, M.A., Standing, C., Chan, C.: The development and validation of a two-staged adoption model of RFID technology in livestock businesses. Inf. Technol. People 30(4), 785–808 (2017)

    Article  Google Scholar 

  24. Bughin, J., Manyika, J., Woetzel, J.: Jobs lost, jobs gained: workforce transitions in a time of automation, McKinsey Global Institute, no. December, pp. 1–160 (2017)

    Google Scholar 

  25. Goodhue, D.L., Thompson, R.: Task-technology fit and individual performance. MIS Q. 19(2), 213–236 (1995)

    Article  Google Scholar 

  26. Oliveira, T., Martins, M.F.: Literature review of information technology adoption models at firm level, no. January (2011)

    Google Scholar 

  27. Davis, F.D., Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Q. 13(3), 319–340 (1989)

    Google Scholar 

  28. Eze, S., Awa, H., Okoye, J., Emecheta, B., Anazodo, R.: Determinant factors of information communication technology (ICT) adoption by government-owned universities in Nigeria: a qualitative approach. J. Enterp. Inf. Manag. 26(4), 427–443 (2013)

    Article  Google Scholar 

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Authors and Affiliations

  1. Koneru Lakshmaiah Education Foundation, Guntur, AP, India

    Sattu Ramesh & Simanchala Das

Authors
  1. Sattu Ramesh
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  2. Simanchala Das
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Correspondence to Simanchala Das .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Ramesh, S., Das, S. (2022). Adoption of AI in Talent Acquisition: A Conceptual Framework. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-01942-5_2

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