Processing, Please wait...

  • Publisher Home
  • Home
  • 🔙 Back
  • 📚 Journals
    • ⚙️ IJIEC - Industrial Engineering Computations
    • 🌐 IJDNS - Data and Network Science
    • 🧪 CCL - Current Chemistry Letters
    • 💹 AC - Accounting
    • 🎯 DSL - Decision Science Letters
    • 🚛 USCM - Uncertain Supply Chain Management
    • 🏗️ JPM - Journal of Project Management
    • 🏥 HE - Healthcare Engineering
    • 📈 SCI - Scientometrica
    • 🔩 ESM - Engineering Solid Mechanics
    • 🌿 JFS - Journal of Future Sustainability
    • 💼 MSL - Management Science Letters
  • 📝 Submit Article
  • 📊 Statistics
  • 📋 About
    • 📄 About Us
    • 📰 Blog
    • 📢 News
    • 📧 Contact
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » International Journal of Data and Network Science » Is the rise of AI technology scary for HR professionals? Balancing the replacement of employees' skills with AI

⭐ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

Journals

  • IJIEC (840)
  • IJDS (1032)
  • DSL (759)
  • ESM (434)
  • CCL (563)
  • JPM (350)
  • AC (572)
  • JFS (106)
  • MSL (2658)
  • USCM (1104)
  • HE (54)
  • SCI (52)

IJDS Volumes

    • ▼ Volume 10 (160)
      • Issue 1 (40)
      • Issue 2 (40)
      • Issue 3 (40)
      • Issue 4 (40)
    • ▼ Volume 9 (96)
      • Issue 1 (20)
      • Issue 2 (6)
      • Issue 3 (30)
      • Issue 4 (40)
    • ▼ Volume 8 (243)
      • Issue 1 (60)
      • Issue 2 (61)
      • Issue 3 (60)
      • Issue 4 (62)
    • ▼ Volume 7 (200)
      • Issue 1 (53)
      • Issue 2 (46)
      • Issue 3 (46)
      • Issue 4 (55)
    • ▼ Volume 6 (163)
      • Issue 1 (30)
      • Issue 2 (33)
      • Issue 3 (40)
      • Issue 4 (60)
    • ▼ Volume 5 (86)
      • Issue 1 (9)
      • Issue 2 (11)
      • Issue 3 (32)
      • Issue 4 (34)
    • ▼ Volume 4 (37)
      • Issue 1 (6)
      • Issue 2 (15)
      • Issue 3 (7)
      • Issue 4 (9)
    • ▼ Volume 3 (27)
      • Issue 1 (4)
      • Issue 2 (9)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 2 (12)
      • Issue 1 (3)
      • Issue 2 (3)
      • Issue 3 (3)
      • Issue 4 (3)
    • ▼ Volume 1 (8)
      • Issue 1 (5)
      • Issue 2 (3)

🔑 Keywords

Jordan(175)
Supply chain management(172)
Vietnam(154)
Customer satisfaction(124)
Performance(117)
Supply chain(115)
Artificial intelligence(108)
Service quality(101)
Competitive advantage(100)
SMEs(95)
Sustainability(94)
Tehran Stock Exchange(94)
optimization(88)
Financial performance(86)
TOPSIS(85)
Trust(85)
Genetic Algorithm(81)
Organizational performance(81)
Job satisfaction(81)
Social media(80)


» Show all keywords

✍️ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(70)
Mohammad Reza Iravani(65)
Endri Endri(45)
Hotlan Siagian(43)
Muhammad Alshurideh(42)
Dmaithan Almajali(39)
Jumadil Saputra(37)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Sautma Ronni Basana(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Mahmoud Allahham(28)


» Show all authors

🌍 Countries

1. Algeria (52)
2. Angola (2)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (58)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (9)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
International Journal of Data and Network Science
ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 9 Issue 4 pp. 1121-1128, 2025

Is the rise of AI technology scary for HR professionals? Balancing the replacement of employees' skills with AI Pages 1121-1128 PDF Download PDF

Authors: Ruba Kutieshat, Khaleel Ibrahim Al-Daoud, Rania Almajali, Asokan Vasudevan, Ghada Alsakarneh, Sulieman Ibraheem Shelash Al-Hawary, Anber Abraheem Shlash Mohammad

📋 Author Affiliations:
R. Kutieshat ORCID 1, K.I. Al-Daoud2, R. Almajali ORCID 3, A. Vasudevan ORCID 4, G. Alsakarneh ORCID 5, S.I.S. Al-Hawary ORCID 1, A.A.S. Mohammad ORCID 6
1 INTI International University, Negeri Sembilan, 71800, Malaysia
2 Department of Accounting, Business School Faculties, Al Ahilya Amman University, Amman, Jordan
3 The University of Jordan, Amman, Jordan
4 Faculty of Business and Communications, INTI International University, Negeri Sembilan, 71800, Malaysia
5 School of Management, Universiti Sains Malaysia, Malaysia
6 INTI International University, Negeri Sembilan, 71800, Malaysia, Digital Marketing Department, Faculty of Administrative and Financial Sciences, Petra University, Jordan, Malaysia
doi 10.5267/j.ijdns.2024.9.010
7 Source: Scopus
Crossref 13 Source: CrossRef

🔑 Keywords: AI Technology Scary, HR Professionals, Employees' skills, Jordan

Abstract: The researchers used positivism to study the effects of artificial intelligence (AI) applications on human resource (HR) productivity through employee technical expertise. This study targeted employees in the health care sector in Jordan. This research used a self-reported questionnaire as the primary data collection tool. We developed this questionnaire by reviewing relevant literature and designed it electronically using Google Forms. The procedures followed in analyzing the initial research data included a series of procedures employing SPSS and AMOS software. The study results indicate that Artificial intelligence applications (AIA) produce a positive effect on HR productivity challenges (HRP) by interplaying the mediating role of employees' technical expertise (ETE) in the sector of the service industry. HR productivity challenges were the essential purpose of investigating the impact of Artificial intelligence applications through employees' technical expertise to decrease challenges and find a balance between the employees' skills and AI Apps implementation instead of replacing HR skills.

How to cite this paper
APA: Kutieshat, R., Al-Daoud, K., Almajali, R., Vasudevan, A., Alsakarneh, G., Al-Hawary, S & Mohammad, A. (2025). Is the rise of AI technology scary for HR professionals? Balancing the replacement of employees' skills with AI. International Journal of Data and Network Science, 9(4), 1121-1128.
Chicago/Turabian: Kutieshat, R., Al-Daoud, K., Almajali, R., Vasudevan, A., Alsakarneh, G., Al-Hawary, S & Mohammad, A. 2025. "Is the rise of AI technology scary for HR professionals? Balancing the replacement of employees' skills with AI." International Journal of Data and Network Science 9, no. 4 (2025): 1121-1128.
AMA: Kutieshat, R., Al-Daoud, K., Almajali, R., Vasudevan, A., Alsakarneh, G., Al-Hawary, S & Mohammad, A. Is the rise of AI technology scary for HR professionals? Balancing the replacement of employees' skills with AI. International Journal of Data and Network Science. 2025;9(4):1121-1128.

References
Abdeldayem, M.M., Aldulaimi, S.H. (2020). Trends and opportunities of artificial intelligence in human resource manage-ment: aspirations for public sector in Bahrain. International Journal of Science and Technology Resources, 9(1), 3867–3871 (2020).
Al Naqbi, H., Bahroun, Z., & Ahmed, V. (2024). Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review. Sustainability, 16(3), 1166.
Al-Sartawi, A., Reyad, S., & Madbouly, A. (2022). Shariah, presentation and content dimensions of Web 2.0 applications and the firm value of Islamic financial institutions in the GCC countries. Journal of Islamic Marketing 13(9), 1988–2005.
Anagnoste, S., Biclesanu, I., D’Ascenzo, F., Savastano, M. (2020). The Role of Chatbots in End-To-End Intelligent Automa-tion and Future Employment Dynamics. In: Business Revolution in A Digital Era: 14th International Conference On Busi-ness Excellence, pp. 287-302). Springer International Publishing, Bucharest, Romania (2020).
Banh, L., Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(1), 63.
Benbya, H., Davenport, T.H., & Pachidi, S. (2020). Artificial intelligence in organizations: current state and future opportuni-ties. MIS Quarterly Executive, 19(4),4.
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS quarterly, 45(3), 1433-1450.
Billett, S. (1995), Workplace learning: Its potential and limitations. Education + Training, 37(5), 20–27.
Ciampi, F., Giannozzi, A., Marzi, G., & Altman, E. I. (2021). Rethinking SME default prediction: A systematic literature re-view and future perspectives. Scientometrics, 126(3), 2141–2188.
Frey, C. B., Osborne, M. A., Holmes, C., Rahbari, E., Garlick, R., Friedlander, G., & Wilkie, M. (2016). Technology at work v2. 0: the future is not what it used to be, CITI Group: Global perspectives & solutions, University of Oxford, Oxford, United Kingdom (2016).
Gallagher, S. A. (1997). Problem-based learning: Where did it come from, what does it do, and where is it going? Journal for the Education of the Gifted, 20(4), 332–362.
Gonçalves, R., Dias, Á., Costa, R., Pereira, L., Bento, T., & Rosa, Á. (2022). Gaining competitive advantage through artificial intelligence adoption. International Journal of Electronic Business, 17(4), 386-406.
Govori, A., Sejdija, Q. (2023). Future prospects and challenges of integrating artificial intelligence within the business prac-tices of small and medium enterprises. Journal of Governance and Regulation, 12(2), 176–183.
Hassan, A. (2024). The Impact of Artificial Intelligence on Organizational Communication. In: Artificial Intelligence And Economic Sustainability In The Era Of Industrial Revolution 5.0, pp. 793-807). Cham: Springer Nature, Switzerland (2024).
Illescas, C., Ortega, T., Jadán-Guerrero, J. (2023). Gender Bias in Chatbots and Its Programming. In: Marketing And Smart Technologies: Proceedings Of Icmarktech 2022, Vol. 2, pp. 481-489. Springer Nature, Singapore (2023).
Jutel, M., Zemelka-Wiacek, M., Ordak, M., Pfaar, O., Eiwegger, T., Rechenmacher, M., & Akdis, C. (2023). The artificial in-telligence (AI) revolution: How important for scientific work and its reliable sharing. Allergy, 78(8), 2085–2088.
Keding, C. (2021). Understanding the interplay of artificial intelligence and strategic management: four decades of research in review. Management Review Quarterly, 71(1), 91–134.
Kivela, J., & Kivela, R. J. (2005). Student perceptions of an embedded problem-based learning instructional approach in a hospitality programme. International Journal of Hospitality Management, 24(3), 437–464.
Kutieshat, R., & Farmanesh, P. (2022). The Impact of New Human Resource Management Practices on Innovation Perfor-mance during the COVID 19 Crisis: A New Perception on Enhancing the Educational Sector. Sustainability, 14, 2872. https:// doi.org/10.3390/su14052872.
Lambros, A. (2013). Problem-Based Learning: from theory to practice. Encontrosobre Educaçãoem Ciênciasatravés da Aprendizagem Baseadana Resolução de Problemas 2, 2-11.
Lepage-Richer, T., McKelvey, F. (2022). States of computing: on government organization and artificial intelligence in Cana-da. Big Data & Society, 9(2), 20539517221123304.
Musleh Alsartawi, A., Hegazy, M.A.A., Hegazy, K. (2022). Guest editorial: the COVID-19 pandemic: a catalyst for digital transformation. Managerial Auditing Journal, 37(7), 769–774.
Paluch, S., Wirtz, J. (2020). Artificial intelligence and robots in the service encounter. Journal of service management re-search, 4(1), 3-8.
Polas, M. R. H., Jahanshahi, A. A., Kabir, A. I., Sohel-Uz-Zaman, A. S. M., Osman, A. R., & Karim, R. (2022). Artificial intel-ligence, blockchain technology, and risk-taking behavior in the 4.0 IR metaverse era: Evidence from Bangladesh-based SMEs. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 168.
Presbitero, A., & Teng-Calleja, M. (2023). Job attitudes and career behaviors relating to employees’ perceived incorporation of artificial intelligence in the workplace: a career self-management perspective. Personnel Review, 52(4), 1169–1187.
Saengrith, W., Viriyavejakul, C., & Pimdee, P. (2022). Problem-Based Blended Training via Chatbot to Enhance the Problem-Solving Skill in the Workplace. Emerging Science Journal, 6, 1–12.
Sundar, S.S., Lee, E.J. (2022). Rethinking communication in the era of artificial intelligence. Human Communication Re-search, 48(3), 379–385.
Talpur, M.R.H., Talpur, M.S.H., Talpur, F., Haseeb, A., Kehar, A., & Fatima, S. (2021). A model for secure inter-institutional communication based on artificial intelligence (AI) and blockchain. International Journal of Computational Intelligence in Control, 13(2), 145–154 (2021).
Tuffaha, M. (2024). Critical Knowledge in HR Development to Transfer from Industry 4.0 to Industry 5.0. In: Artificial Intel-ligence And Economic Sustainability In The Era Of Industrial Revolution 5.0, pp. 521-530. Cham: Springer Nature, Swit-zerland (2024).
Votto, A.M., Valecha, R., Najafirad, P., Rao, H.R. (2021). Artificial intelligence in tactical human resource management: a systematic literature review. International Journal of Information Management Data Insights, 1(2), 100047.
Wamba-Taguimdje, S., Fosso Wamba, S., & Jean Robert, K.K. (2020). Tchatchouang, C.E. Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-based Transformation Projects. Business process management jour-nal 26(7), 1893-1924.
Whig, P. (2021). Artificial intelligence and machine learning in business. International Journal on Integrated Education, 2(2), 334128.
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: International Journal of Data and Network Science | 📅 Year: 2025 | 📖 Volume: 9 | 📄 Issue: 4 | 👁️ Views: 665 | 📊 Crossref: 13

Related Articles:
  • The impact of artificial intelligence on the development of electronic financial services
  • The role of artificial intelligence in developing the accounting system in Jordanian Islamic banks
  • The achievement of digital leadership sustainability and business performance through the implementation of business intelligence, artificial intelligence, and quality learning in private universities in Jordan
  • Artificial intelligence and financial decisions: Empirical evidence from developing economies
  • The impact of artificial intelligence applications on the performance of accountants and audit firms in Saudi Arabia

📝 Ready to share your research?

International Journal of Data and Network Science is accepting new submissions for upcoming issues. Join our community of authors and publish your work with us.

✓ Open access
✓ Rigorous peer review
✓ Fast publication
📤 Submit Your Manuscript →

📖 Author Guidelines

® 2010-2026 GrowingScience.Com