IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v6y2022i11p675-681.html
   My bibliography  Save this article

Artificial Intelligence in Human Resources in the Era of Society 5.0

Author

Listed:
  • Khansa Islami

    (Master of Management, Faculty of Economics and Business, State University of Malang, Indonesia)

  • Dan Sopiah

    (Master of Management, Faculty of Economics and Business, State University of Malang, Indonesia)

Abstract

Humans and robots must be able to cooperate and work together to complete their roles and activities in the age of Society 5.0, which is a challenge for scholars and professionals of HRM. The company’s HR management operations, including the hiring process, interviews, coaching, advancement, salary, and staff effectiveness reviews, have widely used artificial intelligence (AI). Algorithm-based technology is thought to produce more productive and profitable outcomes, as well as reducing conventional biases. The purpose of this Systematic Literature Review (SLR) is to examine prior research on the application of artificial intelligence to human resource management (HRM), and examine the extent to which the use of artificial intelligence (AI) has affected businesses and employees.

Suggested Citation

  • Khansa Islami & Dan Sopiah, 2022. "Artificial Intelligence in Human Resources in the Era of Society 5.0," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(11), pages 675-681, November.
    • Handle: RePEc:bcp:journl:v:6:y:2022:i:11:p:675-681
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-6-issue-11/675-681.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/virtual-library/papers/artificial-intelligence-in-human-resources-in-the-era-of-society-5-0/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarah Bankins & Paul Formosa & Yannick Griep & Deborah Richards, 2022. "AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context," Information Systems Frontiers, Springer, vol. 24(3), pages 857-875, June.
    2. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ardiansyah Putra, 2023. "The Literature Review Analysis of The Human Resources Development in The Industry Era 4.0 Towards The Era of society 5.0," Technium, Technium Science, vol. 20(1), pages 16-24.

    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. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    2. Giuntella, Osea & König, Johannes & Stella, Luca, 2023. "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers 16485, Institute of Labor Economics (IZA).
    3. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    4. von Maydell, Richard, 2024. "Artificial Intelligence and its Effect on Competition and Factor Income Shares," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277654, Verein für Socialpolitik / German Economic Association, revised 2024.
    5. Lee, Kuo-Wei & Li, Chia-Ying, 2023. "It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. Umut Asan & Ayberk Soyer, 2022. "A Weighted Bonferroni-OWA Operator Based Cumulative Belief Degree Approach to Personnel Selection Based on Automated Video Interview Assessment Data," Mathematics, MDPI, vol. 10(9), pages 1-33, May.
    7. Deriu, Valerio & Pozharliev, Rumen & De Angelis, Matteo, 2024. "How trust and attachment styles jointly shape job candidates’ AI receptivity," Journal of Business Research, Elsevier, vol. 179(C).
    8. Babak Abedin & Christian Meske & Iris Junglas & Fethi Rabhi & Hamid R. Motahari-Nezhad, 2022. "Designing and Managing Human-AI Interactions," Information Systems Frontiers, Springer, vol. 24(3), pages 691-697, June.
    9. Li, Yunjian & Song, Yixiao & Sun, Yanming & Zeng, Mingzhuo, 2024. "When do employees learn from artificial intelligence? The moderating effects of perceived enjoyment and task-related complexity," Technology in Society, Elsevier, vol. 77(C).
    10. Nick Drydakis, 2024. "Artificial intelligence capital and employment prospects," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 901-919.
    11. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    12. Abdelhalim, Esraa & Anazodo, Kemi Salawu & Gali, Nazha & Robson, Karen, 2024. "A framework of diversity, equity, and inclusion safeguards for chatbots," Business Horizons, Elsevier, vol. 67(5), pages 487-498.
    13. Ivan Ðula & Tabea Berberena & Ksenia Keplinger & Maria Wirzberger, 2024. "From challenges to opportunities: navigating the human response to automated agents in the workplace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    14. Amit Kumar Kushwaha & Ruchika Pharswan & Prashant Kumar & Arpan Kumar Kar, 2023. "How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception," Information Systems Frontiers, Springer, vol. 25(3), pages 1241-1260, June.
    15. Yinchu Zhu & Ilya O. Ryzhov, 2022. "Optimal data-driven hiring with equity for underrepresented groups," Papers 2206.09300, arXiv.org.
    16. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
    17. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
    18. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).
    19. Miglena Stoyanova, 2022. "Impact Of Artificial Intelligence On Recruitment Process," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 184-191.
    20. Nicoleta Valentina Florea & Constantin Aurelian Ionescu & Marinela Daniela Manea & Dan Ioan Topor & Sorinel Capusneanu & Dan Marius Coman & Sorina Geanina Stanescu & Mihaela Denisa Coman, 2023. "Implementing ABC as Cost Management Model for the Human Resources Department: Evidence From a Romanian Entity," SAGE Open, , vol. 13(2), pages 21582440231, May.

    More about this item

    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:bcp:journl:v:6:y:2022:i:11:p:675-681. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.