Research Article | | Peer-Reviewed

Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi

Received: 31 August 2023     Accepted: 25 September 2023     Published: 30 October 2023
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Abstract

Artificial Intelligence (AI) has increasingly become integral to various sectors, notably within human resource management (HRM). Its applications span from aiding new employees with onboarding queries to assisting customer service representatives in mood recognition and self-correction. This Study explores the implementation and perception of AI within the HRM sectors of UAE's public and private entities. The research uses data from two surveys targeting HR professionals in Abu Dhabi, grounded in a thorough literature review centred on the six fundamental dimensions of HRM theory and supplemented by empirical analysis. Primary survey findings are detailed in the main text, while supplementary results are presented in the Appendix. Key insights illuminate employees' attitudes towards AI integration and underscore their concerns about its implications in HR. Artificial Intelligence (AI) has significantly impacted various sectors, including HR departments. It has improved HR processes like job recruitment and salary transfers. AI can reduce nepotism and bias in HRM functions, enhancing efficiency and effectiveness. However, fear of job loss and AI replacing human resources persists. To fully understand AI's potential, further analysis with industry segmentation and a combined approach should be undertaken, ensuring equal representation from various age and gender groups. AI implementation should focus on diverse sectors, ensuring a holistic view of results across different industries.

Published in Journal of Human Resource Management (Volume 11, Issue 4)
DOI 10.11648/j.jhrm.20231104.12
Page(s) 131-140
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

AI, HRM, Dubai, UAE

References
[1] Ahmed, O. (2018). Artificial Intelligence in HR. International Journal of Research and Analytical Reviews, 5 (4), 971–978.
[2] Alhashmi, S. F. S., Salloum, S. A., & Mhamdi, C. (2019). Implementing artificial Intelligence in the United Arab Emirates healthcare sector: an extended technology acceptance model. Int. J. Inf. Technol. Lang. Stud, 3 (3), 27–42.
[3] Almarashda, H. A. H. A., Baba, I. bin, Ramli, A. A., Memon, A. H., & Rahman, I. A. (2021). Human Resource Management and Technology Development in Artificial Intelligence Adoption in the UAE Energy Sector. Journal of Applied Engineering Sciences, 11(2).
[4] Asf, H. J. H. (2021). تقييم أثر العمل عن بعد في ظل جائحة فيروس كورونا المستجد (كوفيد- 19) على الأداء المؤسسي: بالتطبيق على دائرة البلدية والتخطيط في إمارة عجمان = Assessment of Remote Working Impact on Institutional Performance during COVID-19: Municipality and Planning Department - Emirate of Ajman as a Model. Sharjah Police General Command Police Research Center, 30 (116), 19–61. https://doi.org/10.12816/0057192
[5] Cronin, P., Ryan, F., & Coughlan, M. (n. d.). Undertaking a literature review: a step-by-step approach. What is a literature review?
[6] Derish, P. A., & Annesley, T. M. (2011). How to write a rave review. In Clinical Chemistry (Vol. 57, Issue 3, pp. 388–391). https://doi.org/10.1373/clinchem.2010.160622
[7] Hmoud, B., & Laszlo, V. (2019). Will artificial Intelligence take over human resources recruitment and selection? Network Intelligence Studies, 7 (13), 21–30.
[8] Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting employees: Upskilling for artificial Intelligence in multinational corporations. The International Journal of Human Resource Management, 33 (6), 1179–1208.
[9] Jia, Q., Guo, Y., Li, R., Li, Y., & Chen, Y. (2018). Association for Information Systems AIS Electronic Library (AISeL) A Conceptual Artificial Intelligence Application Framework in Human Resource Management Recommended Citation “A Conceptual Artificial Intelligence Application Framework in Human Resource Management.” https://aisel.aisnet.org/iceb2018/91
[10] Jiang, F., Li, J., Du, M., & Wang, F. (2018). Research on the application of artificial intelligence technology in human resource management. 2nd International Conference on Systems, Computing, and Applications (SYSTCA 2018), 176–179.
[11] Kshetri, N. (2021). Evolving uses of Artificial Intelligence in human resource management in emerging economies in the global South: some preliminary evidence. Management Research Review.
[12] Kumar Abhishek. (2022). Introduction to Artificial Intelligence. Redgate Hub. Introduction to Artificial Intelligence.
[13] Nawaz, N. (2020). Artificial intelligence applications for face recognition in the recruitment process. Journal of Management Information and Decision Sciences, pp. 23, 499–509.
[14] Noe, R., Hollenbeck, J., Gerhart, B., & Wright, P. (2006). Human Resources Management: Gaining a Competitive Advantage, Tenth Global Edition. McGraw-Hill Education New York, MA.
[15] Olan, F., Ogiemwonyi Arakpogun, E., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial Intelligence and knowledge sharing: Contributing factors to organisational performance. Journal of Business Research, 145, 605–615. https://doi.org/10.1016/j.jbusres.2022.03.008
[16] Richard, M. D., & Lippmann, R. P. (1991). Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computation, 3 (4), 461–483.
[17] Sakka, F., el Maknouzi, M. E. H., & Sadok, H. (2022). Human Resource Management in The Era of Artificial Intelligence: Future HR Work Practices, Anticipated Skill Set, Financial and Legal Implications. Academy of Strategic Management Journal, 21, 1–14.
[18] Sari, R. E., Min, S., Purwoko, H., Furinto, A., & Tamara, D. (2020). Artificial Intelligence for a Better Employee Engagement. International Research Journal of Business Studies, 13 (2), 173–188. https://doi.org/10.21632/irjbs.13.2.173-188
[19] Singh, A., & Shaurya, A. (2021). Impact of Artificial Intelligence on HR Practices in the UAE. Humanities and Social Sciences Communications, 8 (1), 1–9.
[20] Sullivan, Y., & Wamba, S. (2022). Artificial Intelligence, Firm Resilience to Supply Chain Disruptions, and Firm Performance. Proceedings of the 55th Hawaii International Conference on System Sciences.
[21] Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42 (9), 1600–1631. https://doi.org/10.1002/smj.3322
[22] Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial Intelligence: Implications for recruitment. Strategic HR Review.
Cite This Article
  • APA Style

    Faezah Roohani. (2023). Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi. Journal of Human Resource Management, 11(4), 131-140. https://doi.org/10.11648/j.jhrm.20231104.12

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    ACS Style

    Faezah Roohani. Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi. J. Hum. Resour. Manag. 2023, 11(4), 131-140. doi: 10.11648/j.jhrm.20231104.12

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    AMA Style

    Faezah Roohani. Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi. J Hum Resour Manag. 2023;11(4):131-140. doi: 10.11648/j.jhrm.20231104.12

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  • @article{10.11648/j.jhrm.20231104.12,
      author = {Faezah Roohani},
      title = {Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi},
      journal = {Journal of Human Resource Management},
      volume = {11},
      number = {4},
      pages = {131-140},
      doi = {10.11648/j.jhrm.20231104.12},
      url = {https://doi.org/10.11648/j.jhrm.20231104.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jhrm.20231104.12},
      abstract = {Artificial Intelligence (AI) has increasingly become integral to various sectors, notably within human resource management (HRM). Its applications span from aiding new employees with onboarding queries to assisting customer service representatives in mood recognition and self-correction. This Study explores the implementation and perception of AI within the HRM sectors of UAE's public and private entities. The research uses data from two surveys targeting HR professionals in Abu Dhabi, grounded in a thorough literature review centred on the six fundamental dimensions of HRM theory and supplemented by empirical analysis. Primary survey findings are detailed in the main text, while supplementary results are presented in the Appendix. Key insights illuminate employees' attitudes towards AI integration and underscore their concerns about its implications in HR. Artificial Intelligence (AI) has significantly impacted various sectors, including HR departments. It has improved HR processes like job recruitment and salary transfers. AI can reduce nepotism and bias in HRM functions, enhancing efficiency and effectiveness. However, fear of job loss and AI replacing human resources persists. To fully understand AI's potential, further analysis with industry segmentation and a combined approach should be undertaken, ensuring equal representation from various age and gender groups. AI implementation should focus on diverse sectors, ensuring a holistic view of results across different industries.
    },
     year = {2023}
    }
    

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    T1  - Application of AI in HRM and Employee Perception Analysis for the Usage of AI in Public and Private Organizations in Abu Dhabi
    AU  - Faezah Roohani
    Y1  - 2023/10/30
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    DO  - 10.11648/j.jhrm.20231104.12
    T2  - Journal of Human Resource Management
    JF  - Journal of Human Resource Management
    JO  - Journal of Human Resource Management
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.jhrm.20231104.12
    AB  - Artificial Intelligence (AI) has increasingly become integral to various sectors, notably within human resource management (HRM). Its applications span from aiding new employees with onboarding queries to assisting customer service representatives in mood recognition and self-correction. This Study explores the implementation and perception of AI within the HRM sectors of UAE's public and private entities. The research uses data from two surveys targeting HR professionals in Abu Dhabi, grounded in a thorough literature review centred on the six fundamental dimensions of HRM theory and supplemented by empirical analysis. Primary survey findings are detailed in the main text, while supplementary results are presented in the Appendix. Key insights illuminate employees' attitudes towards AI integration and underscore their concerns about its implications in HR. Artificial Intelligence (AI) has significantly impacted various sectors, including HR departments. It has improved HR processes like job recruitment and salary transfers. AI can reduce nepotism and bias in HRM functions, enhancing efficiency and effectiveness. However, fear of job loss and AI replacing human resources persists. To fully understand AI's potential, further analysis with industry segmentation and a combined approach should be undertaken, ensuring equal representation from various age and gender groups. AI implementation should focus on diverse sectors, ensuring a holistic view of results across different industries.
    
    VL  - 11
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Author Information
  • Research Scholar, Mohalla-Faizullah Khan, Darbhanga, India

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