A CONCEPTUAL ANALYSIS OF THE DIFFICULTIES AND POTENTIAL HRM TECHNIQUES FOR THE INTERACTION OF MANPOWER WITH ARTIFICIAL INTELLIGENCE

Authors

Dr. Aajaz Ahmad Hajam , Alphonsa S John

DOI:

10.54443/morfai.v1i2.744

Published:

2022-01-28

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Abstract

Abstract

 

 

Objective - This essay intends to particularly address the difficulties that modern organizations' human resource management (HRM) departments and leaders confront as a result of the close interaction between human workers and artificial intelligence (AI)—primarily robots—especially at the team level. On the basis of a conceptual evaluation of the available research, it also offers some prospective solutions that may be helpful to overcome these difficulties.

Design, methodology, and approach — To give a very comprehensive yet critical overview of the interaction between AI (especially robots) and HRM in modern organizations, the current study engages in conceptual work that integrates several streams of literature.

Results - We emphasize that interactions and teamwork between human workers and robots are evident across a variety of organizational tasks and industries, where both are contributing team members. The HRM function in modern organizations is faced with some particularly difficult challenges as a result of the need to address workers' anxiety about working with AI, particularly in relation to potential job loss and the challenging dynamics of establishing trust between human employees and AI-enabled robots as team members. Along with these, HRM staff members need to carefully handle employee performance evaluations in the future as well as human workers' expectations for task completion with their AI-enabled robot co-workers. When placing human workers in teams with robots, the authors discovered that organizational support mechanisms such as a welcoming climate, training opportunities, and assuring a suitable technological competence level are crucial. Finally, we discovered that one of HRM's most difficult difficulties is performance evaluation in teams where humans and AI (including robots) coexist. We emphasized the possibility of drawing insights from the computer gaming literature, where performance evaluation models have been developed to analyze human and AI interactions while keeping the context and limitations of both in mind. We discussed the lack of frameworks to guide HRM managers in this concern.

Originality/value - Our study is one of the few to go beyond a broad or functional analysis of AI in the context of human resource management. It focuses primarily on the teamwork aspect, where human employees and AI-powered robots (robots) collaborate and provide insights and suggestions for such teams' efficient operation.

Keywords:

Human-robot interaction, E-HRM difficulties, HRM methods, and artificial intelligence

References

Dar, S. A., Muthukumar, J., & Reshi, I. A. (2023). KASHMIRI WOMEN AS THE AGENT OF CLIMAT CHANGE. International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 3(1), 213-216.

Reshi, I. A., & Sudha, T. (2023). Women's Economic Involvement and Self-Help Groups in the Pulwama District of Jammu and Kashmir. MORFAI JOURNAL, 2(4), 872-882.

Reshi, I. A., & Sudha, T. (2023). Women's Economic Involvement and Self-Help Groups in the Pulwama District of Jammu and Kashmir. MORFAI JOURNAL, 2(4), 872-882.

Reshi, I. A. (2023). COVID-19 Pandemic and Teaching and Learning: A Literature Review. MORFAI JOURNAL, 2(4), 820-826.

Shen, J., Zhang, C.J., Jiang, B., Chen, J., Song, J., Liu, Z., He, Z., Wong, S.Y., Fang, P.H. and Ming, W.K. (2019), “Artificial intelligence versus clinicians in disease diagnosis: systematic review”, JMIR Medical Informatics, Vol. 7 No. 3, e10010, d.

Sivathanu, B. and Pillai, R. (2018), “Smart HR 4.0 – how industry 4.0 is disrupting HR”, Human Resource Management International Digest, Vol. 26 No. 4, pp. 7-11.

Smids, J., Nyholm, S. and Berkers, H. (2020), “Robots in the workplace: a threat to—or opportunity for—meaningful work?”, Philosophy and Technology, Vol. 33 No. 3, pp. 503-522.

Spencer, A.J., Buhalis, D. and Moital, M. (2012), “A hierarchical model of technology adoption for small owner-managed travel firms: an organisational decision-making and leadership perspective”, Tourism Management, Vol. 33 No, 5, pp. 1195-1208.

Strohmeier, S. and Piazza, F. (2015), “Artificial intelligence techniques in human resource management—a conceptual exploration”, Intelligent Techniques in Engineering Management, Springer, Cham, pp. 149-172.

Sutherland, W., Jarrahi, M.H., Dunn, M. and Nelson, S.B. (2020), “Work precarity and gig literacies in online freelancing”, Work, Employment and Society, Vol. 34 No. 3, pp. 457-475.

Tsarouchi, P., Michalos, G., Makris, S., Athanasatos, T., Dimoulas, K. and Chryssolouris, G. (2017), “On a human-robot workplace design and task allocation system”, International Journal of Computer Integrated Manufacturing, Vol. 30 No. 12, pp. 1272-1279.

van den Heuvel, S. and Bondarouk, T. (2017), “The rise (and fall?) of HR analytics: a study into the future application, value, structure, and system support”, Journal of Organizational Effectiveness: People and Performance, Vol. 4 No. 2, pp. 157-178.

Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A. and Trichina, E. (2021), “Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review”, International Journal of Human Resource Management, Early view

Webster, C. and Ivanov, S. (2020), “Robotics, artificial intelligence, and the evolving nature of work”,

Webster, J. and Martocchio, J.J. (1992), “Microcomputer playfulness: development of a measure with workplace implications”, MIS Quarterly, Vol. 16 No. 2, pp. 201-226.

Wilson, H.J. and Daugherty, P.R. (2018), “Collaborative intelligence: humans and AI are joining forces”,

Nur Ilham, R. ., Arliansyah, A., Juanda, R., Multazam, M. ., & Saifanur, A. . (2021). RELATHIONSIP BETWEEN MONEY VELOCITY AND INFLATION TO INCREASING STOCK INVESTMENT RETURN: EFFECTIVE STRATEGIC BY JAKARTA AUTOMATED TRADING SYSTEM NEXT GENERATION (JATS-NG) PLATFORM. International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 1(1), 87–92. https://doi.org/10.54443/ijebas.v1i1.27

Yusuf Iis, E., Wahyuddin, W., Thoyib, A., Nur Ilham, R., & Sinta, I. (2022). THE EFFECT OF CAREER DEVELOPMENT AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE WITH WORK MOTIVATION AS INTERVENING VARIABLE AT THE OFFICE OF AGRICULTURE AND LIVESTOCK IN ACEH. International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 2(2), 227–236. https://doi.org/10.54443/ijebas.v2i2.191

Geovani, I. ., Nurkhotijah, S. ., Kurniawan, H. ., Milanie, F., & Nur Ilham, R. . (2021). JURIDICAL ANALYSIS OF VICTIMS OF THE ECONOMIC EXPLOITATION OF CHILDREN UNDER THE AGE TO REALIZE LEGAL PROTECTION FROM HUMAN RIGHTS ASPECTS: RESEARCH STUDY AT THE OFFICE OF SOCIAL AND COMMUNITY EMPOWERMENT IN BATAM CITY. International Journal of Educational Review, Law And Social Sciences (IJERLAS), 1(1), 45–52. https://doi.org/10.54443/ijerlas.v1i1.10

Bustani, B., Khaddafi, M. ., & Nur Ilham, R. (2022). REGIONAL FINANCIAL MANAGEMENT SYSTEM OF REGENCY/CITY REGIONAL ORIGINAL INCOME IN ACEH PROVINCE PERIOD YEAR 2016-2020. International Journal of Educational Review, Law And Social Sciences (IJERLAS), 2(3), 459–468. https://doi.org/10.54443/ijerlas.v2i3.277

Nur Ilham, R., Heikal, M. ., Khaddafi, M. ., F, F., Ichsan, I., F, F., Abbas, D. ., Fauzul Hakim Hasibuan, A. ., Munandar, M., & Chalirafi, C. (2021). Survey of Leading Commodities Of Aceh Province As Academic Effort To Join And Build The Country. IRPITAGE JOURNAL, 1(1), 13–18. https://doi.org/10.54443/irpitage.v1i1.19

Nur ilham, R., Likdanawati, L., Hamdiah, H., Adnan, A., & Sinta, I. . (2022). COMMUNITY SERVICE ACTIVITIES “SOCIALIZATION AVOID STUDY INVESTMENT” TO THE STUDENT BOND OF SERDANG BEDAGAI. IRPITAGE JOURNAL, 2(2), 61–64. https://doi.org/10.54443/irpitage.v2i2.312

Falahuddin, F., Fuadi, . F., Munandar, M., Juanda, R. ., & Nur Ilham, R. . (2022). INCREASING BUSINESS SUPPORTING CAPACITY IN MSMES BUSINESS GROUP TEMPE BUNGONG NANGGROE KERUPUK IN SYAMTALIRA ARON DISTRICT, UTARA ACEH REGENCY. IRPITAGE JOURNAL, 2(2), 65–68. https://doi.org/10.54443/irpitage.v2i2.313

Majied Sumatrani Saragih, M. ., Hikmah Saragih, U. ., & Nur Ilham, R. . (2021). RELATIONSHIP BETWEEN MOTIVATION AND EXTRINSIC MOTIVATION TO ICREASING ENTREPRENEURSHIP IMPLEMENTATION FROM SPP AL-FALAH GROUP AT BLOK 10 VILLAGE DOLOK MASIHUL. MORFAI JOURNAL, 1(1), 1–12. https://doi.org/10.54443/morfai.v1i1.11

Sandi, H. ., Afni Yunita, N. ., Heikal, M. ., Nur Ilham, R. ., & Sinta, I. . (2021). RELATIONSHIP BETWEEN BUDGET PARTICIPATION, JOB CHARACTERISTICS, EMOTIONAL INTELLIGENCE AND WORK MOTIVATION AS MEDIATOR VARIABLES TO STRENGTHENING USER POWER PERFORMANCE: AN EMPERICAL EVIDENCE FROM INDONESIA GOVERNMENT. MORFAI JOURNAL, 1(1), 36–48. https://doi.org/10.54443/morfai.v1i1.14

Sinurat, M. ., Heikal, M. ., Simanjuntak, A. ., Siahaan, R. ., & Nur Ilham, R. . (2021). PRODUCT QUALITY ON CONSUMER PURCHASE INTEREST WITH CUSTOMER SATISFACTION AS A VARIABLE INTERVENING IN BLACK ONLINE STORE HIGH CLICK MARKET: Case Study on Customers of the Tebing Tinggi Black Market Online Store. MORFAI JOURNAL, 1(1), 13–21. https://doi.org/10.54443/morfai.v1i1.12

Ilham, Rico Nur. et all (2019). Investigation of the Bitcoin Effects on the Country Revenues via Virtual Tax Transactions for Purchasing Management. International Journal of Suplly Management.Volume 8 No.6 December 2019.

Ilham, Rico Nur. et all (2019).. Comparative of the Supply Chain and Block Chains to Increase the Country Revenues via Virtual Tax Transactions and Replacing Future of Money. International Journal of Suplly Management.Volume 8 No.5 August 2019.

Lasta Irawan, A. ., Briggs, D. ., Muhammad Azami, T. ., & Nurfaliza, N. (2021). THE EFFECT OF POSITION PROMOTION ON EMPLOYEE SATISFACTION WITH COMPENSATION AS INTERVENING VARIABLES: (Case Study on Harvesting Employees of PT. Karya Hevea Indonesia). International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET), 1(1), 11–20. https://doi.org/10.54443/ijset.v1i1.2

Rahmaniar, R., Subhan, S., Saharuddin, S., Nur Ilham, R. ., & Anwar, K. . (2022). THE INFLUENCE OF ENTREPRENEURSHIP ASPECTS ON THE SUCCESS OF THE CHIPS INDUSTRY IN MATANG GLUMPANG DUA AND PANTON PUMP. International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET), 1(7), 337–348. https://doi.org/10.54443/ijset.v1i7.36

likdanawati, likdanawati, Yanita, Y., Hamdiah, H., Nur Ilham, R., & Sinta, I. (2022). EFFECT OF ORGANIZATIONAL COMMITMENT, WORK MOTIVATION AND LEADERSHIP STYLE ON EMPLOYEE PERFORMANCE OF PT. ACEH DISTRIBUS INDO RAYA. International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET), 1(8), 377–382. https://doi.org/10.54443/ijset.v1i8.41

Nur Ilham, R., Arliansyah, A., Juanda, R. ., Sinta, I. ., Multazam, M. ., & Syahputri, L. . (2022). APPLICATION OF GOOD CORPORATE GOVERNANCE PRINCIPLES IN IMPROVING BENEFITS OF STATE-OWNED ENTERPRISES (An Emperical Evidence from Indonesian Stock Exchange at Moment of Covid-19). International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 2(5), 761–772. https://doi.org/10.54443/ijebas.v2i5.410

Rico Nur Ilham, Irada Sinta, & Mangasi Sinurat. (2022). THE EFFECT OF TECHNICAL ANALYSIS ON CRYPTOCURRENCY INVESTMENT RETURNS WITH THE 5 (FIVE) HIGHEST MARKET CAPITALIZATIONS IN INDONESIA. Jurnal Ekonomi, 11(02), 1022–1035. Retrieved from http://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/481

Nur ilham, R., Likdanawati, L., Hamdiah, H., Adnan, A., & Sinta, I. . (2022). COMMUNITY SERVICE ACTIVITIES “SOCIALIZATION AVOID STUDY INVESTMENT” TO THE STUDENT BOND OF SERDANG BEDAGAI. IRPITAGE JOURNAL, 2(2), 61–64. https://doi.org/10.54443/irpitage.v2i2.312

Wayan Mertha, I. ., & Mahfud, M. (2022). HISTORY LEARNING BASED ON WORDWALL APPLICATIONS TO IMPROVE STUDENT LEARNING RESULTS CLASS X IPS IN MA AS’ADIYAH KETAPANG. International Journal of Educational Review, Law And Social Sciences (IJERLAS), 2(5), 507–612. https://doi.org/10.54443/ijerlas.v2i5.369

Mahfud, M., Yudiana, I. K., & Sariyanto, S. (2022). HISTORY OF BANYUWANGI KALIKLATAK PLANTATION AND ITS IMPACT ON SURROUNDING COMMUNITIES. International Journal of Educational Review, Law And Social Sciences (IJERLAS), 3(1), 91–104. https://doi.org/10.54443/ijerlas.v3i1.492

Mahfud et all (2021). PEMANFAATAN TRADISI RESIK LAWON SUKU USING SEBAGAI SUMBER BELAJAR SEJARAH LOKAL PADA SMA DI BANYUWANGI. Media Bina Ilmiah Vol.16 No.3 Oktober 2021. http://ejurnal.binawakya.or.id/index.php/MBI/article/view/1294/pdf

Sinta, I., Nur Ilham, R. ., Authar ND, M. ., M. Subhan, & Amru Usman. (2022). UTILIZATION OF DIGITAL MEDIA IN MARKETING GAYO ARABICA COFFEE. IRPITAGE JOURNAL, 2(3), 103–108. https://doi.org/10.54443/irpitage.v2i3.467

Nur Ilham, R., Arliansyah, A., Juanda, R. ., Sinta, I. ., Multazam, M. ., & Syahputri, L. . (2022). APPLICATION OF GOOD CORPORATE GOVERNANCE PRINCIPLES IN IMPROVING BENEFITS OF STATE-OWNED ENTERPRISES (An Emperical Evidence from Indonesian Stock Exchange at Moment of Covid-19). International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 2(5), 761–772. https://doi.org/10.54443/ijebas.v2i5.410

Mahfud et all (2020). Developing a Problem-Based Learning Model through E-Learning for Historical Subjects to Enhance Students Learning Outcomes at SMA Negeri 1 Rogojampi. IOP Conf. Series: Earth and Environmental Science 485 (2020) 012014 doi:10.1088/1755-1315/485/1/012014

Author Biographies

Dr. Aajaz Ahmad Hajam, Assistant Professor, Sambhram University, Jizzax, Uzbekistan

Author Origin : Uzbekistan

Alphonsa S John, Ph.D., Research Scholar, Department of Commerce, Annamalai University, Annamalai Nagar, Tamil Nadu

Author Origin : India

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How to Cite

Dr. Aajaz Ahmad Hajam, & Alphonsa S John. (2022). A CONCEPTUAL ANALYSIS OF THE DIFFICULTIES AND POTENTIAL HRM TECHNIQUES FOR THE INTERACTION OF MANPOWER WITH ARTIFICIAL INTELLIGENCE. Multidiciplinary Output Research For Actual and International Issue (MORFAI), 1(2), 418–437. https://doi.org/10.54443/morfai.v1i2.744

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