Intelligent Management of Human Capital

Intelligent Management of Human Capital

The Effect of Organizational Maturity, Information Maturity, and Human Resources Maturity on the Perception of the Effectiveness of Artificial Intelligence in Human Resources Management

Document Type : Original Article

Authors
mahsa sadrjahani 1
Alireza moghaddam 2
Azim ollah Zarei 3
1 Master's student. Faculty of Economics, Management, and Administrative Sciences. Semnan University. Iran.
2 Industrial Management Group, Faculty of Economics, Management, and Administrative Sciences, Semnan University, Semnan, Iran.
3 Marketing Management Group, Faculty of Economics, Management, and Administrative Sciences, Semnan University, Semnan, Iran.
10.22034/imhr.2025.480498.1012
Abstract
Background and Objectives: In recent decades, Artificial Intelligence (AI) has emerged as a pivotal technology in enhancing Human Resource Management (HRM) processes. However, many organizations have yet to fully exploit this technology's potential, which may be due to low levels of organizational and informational maturity. This study examines the impact of organizational, informational, and human resource maturity levels on managers' and experts' perceptions of AI efficiency in HRM. The innovation of this research lies in combining three maturity models organizational, informational, and human resource and examining their combined effects on AI productivity in HRM.
Methodology: To address this gap, this research employs a descriptive-survey approach, collecting data from 120 HR managers and experts in knowledge-based companies at the Science and Technology Park. The sample size was determined using the Morgan table, and the sampling method was judgmental. Data analysis methods include multiple regression and Structural Equation Modeling (SEM).
Findings: The results indicate that human resource maturity, with an impact coefficient of 0.361, has the most significant effect on the perception of AI efficiency, while informational and organizational maturity follow with coefficients of 0.296 and 0.240, respectively.
Conclusion: This study recommends that organizations should pay special attention to the simultaneous development of organizational, informational, and human resource maturity to effectively leverage AI.
Keywords
"Artificial Intelligence
Human Resources Management
Information Maturity and Human Resources Maturity
Organizational Maturity"
-      Afraz, Fariborz, Shahlai, Naser and Dehghan, Nabi Allah. (1403). Strategic situation analysis of improving the productivity of the staff of the Islamic Republic of Iran Army Headquarters. Intelligent Human Capital Management, 1(1), 111-87. 10.22034/imhr.2024.471364.1009 [in persian]
-      Arab-Saeedi, S. (2024). The role of AI in project management transformation. Retrieved from https://civilica.com/doc/2107515 [in persian]
-      Armstrong, M. T., Stephen. (2023). Armstrong's Handbook of Human Resource Management Practice: A Guide to the Theory and Practice of People Management. Kogan Page; 16th edition (January 31, 2023)
-      Butler, T., Espinoza-Limon, A., & Seppälä, S. (2021). Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations. Journal of AI,Robotics & Workplace Automation, 1(1), 18-33. http://dx.doi.org/10.48550/arXiv.2305.15922
-      Chen, Y., Lin, P., & Wang, L. (2019). Information Maturity and Decision-Making Efficiency in HRM Systems. Information Systems Journal, 34(1), 89-112. http://dx.doi.org/10.3389/fpsyg.2024.1400772
-      Chowdhury, S. R., Guha, S., & Sanju, N. L. (2024). Artificial Intelligence Enabled Human Resource Management: A Review and Future Research Avenues. Archives of Business Research, 12(6), 94–111. http://dx.doi.org/10.14738/abr.126.17050
-      Curtis, B., Hefley, W.E., & Miller, S.A. (2009). Capability Maturity Model for HR and its Impact on AI Integration. Publisher.
-      DaghighiMasouleh, Z., & Allahyari, M.S. (2017).Organizational Maturity Effect on Electronic Readiness (A Challenge in Islamic Azad University, Rasht Branch). Journal of New Approaches in Educational Administration, 8(30): 55-84. https://dorl.net/dor/20.1001.1.20086369.1396.8.30.3.9  [in persian]
-      Emadzadeh, M., Salehi, F., NekoueiMarnani, N. (2023). Investigating the impact of artificial intelligence on individual and organizational dimensions of human resource management among employees of Baharestan Municipality (Master's thesis). Sheikhbahaee University, Faculty of Management, Tehran, Iran. [in persian]
-      Eubanks, B. (2020). AI in the HR profession. Translated by A. Zamaniyan & H. Ghotan-Kashani (2020). Tehran: Jihad University Press. [in persian]
-      Fearn, N. (2024). Less admin, more time with people: How an HR professional’s job has been transformed by AI. https://the-guardian.livejournal.com/226380533.html
-      Gupta, B.B., Gaurav, A., Panigrahi, P.K., & Arya, V. (2023). Analysis of cutting-edge technologies for enterprise information system and management. Enterprise Information Systems, 17(11), 2197406. http://dx.doi.org/10.1080/17517575.2023.2197406
-       Hadi Peykani, Mehraban and Ostadi, Majid. (1403). Knowledge-based human resource development strategies for sustainable management. Intelligent Human Capital Management, 1(1), 172-143. 10.22034/imhr.2025.494947.1018 [in persian]
-      Haghighinasab, M., Bazaee, A., Khadivar, A. & Mehrkam, M. (2011). Relationship between Information Technology Maturity and Knowledge Management Maturity (Case Study: Iran Khodro Company), Master's thesis, Faculty of Social and Economic Sciences, Al-Zahra University  [in persian]
-      Hasani, M., & KazemzadehPoshtiri, M. (2022). AI and hybrid algorithm suitable for augmentation Accuracy of human resource management forecasts. Islamic Human Sciences Studies, 30, 89-103. http://noo.rs/gzprG [in persian]
-      Hasanpur, A., Yosifi, R., & Miraki, B. (2017). Identifying and Ranking Indices of EHRM Maturity Assessment. ORMR, Organizational Resource Management Research, 7 (3):75-91. http://ormr.modares.ac.ir/article-28-8098-fa.html [in persian]
-      Jatobá, M., Santos, J., Gutierriz, I., Moscon, D., Fernandes, P.O., & Teixeira, J.P. (2019). Evolution of Artificial Intelligence Research in Human Resources. Procedia Computer Science, 164, 137-142. https://doi.org/10.1016/j.procs.2019.12.165
-      Jatobá, M.N., Ferreira, J.J., Fernandes, P.O., & Teixeira, J.P. (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management, 36(7), 1099-1124. http://dx.doi.org/10.1108/JOCM-03-2022-0075
-      KalatehAghamohammadi, A., & Sharifi, S.M. (2022). Investigating the role of AI in HR from the perspective of job elimination (Case study: News broadcasting). Journal of Future Studies in Media, 3, 36-64. Retrieved from. http://noo.rs/LKVAn [in persian]
-      Kambur, E., & Akar, C. (2022). Human resource developments with the touch of artificial intelligence: a scale development study. International Journal of Manpower, 43(1), 168-205. https://doi.org/10.1108/IJM-04-2021-0216
-      Kim, J., Park, S., & Lee, H. (2020). Organizational Maturity and Technology Adoption: A Meta-Analysis Approach. Journal of Organizational Studies, 45(3), 223-245. http://dx.doi.org/10.1016/j.im.2012.05.002
-      Kulshrestha, D. S. (2024). Quantitative Assessment on Investigation on the Impact of Artificial Intelligence on HR Practices and Organizational Efficiency for Industry 4.0. Journal of Artificial Intelligence, Machine Learning and Neural Network (42), 14-21. http://dx.doi.org/10.55529/jaimlnn.42.14.21
-      Lee, J., & Choi, K. (2021). HR Capability Maturity and AI Success in HR Functions. Journal of Human Resource Management, 56(2), 134-150. https://www.researchgate.net/publication/384556983_Artificial_Intelligence_in_Human_Resource_Management_Revolutionizing_Recruitment_Performance_and_Employee_Development
-      Lichtenthaler, U. (2020). Five Maturity Levels of Managing AI: From Isolated Ignorance to Integrated Intelligence. Journal of Innovation Management, 8(1), 39–50. http://dx.doi.org/10.24840/2183-0606_008.001_0005
-      Mantzaris, K., & Myloni, B. (2023). Human resources under technological transformation: what HR professionals believe in an international scale. Employee Relations: The International Journal, 45(1), 172-189. http://dx.doi.org/10.1108/ER-06-2021-0244
-      Mer, A., & Virdi, A. S. (2023). Navigating the paradigm shift in HRM practices through the lens of artificial intelligence: A post-pandemic perspective. The adoption and effect of artificial intelligence on human resources management, Part A, 123-154. http://dx.doi.org/10.1108/978-1-80382-027-920231007
-      Natarajan, S., & Dhinakaran, T. (2024). AI-Powered Strategies for Talent Management Optimization. http://dx.doi.org/10.52783/jier.v4i2.848
-      Peifer, Y., Jeske, T., & Hille, S. (2022). Artificial intelligence and its impact on leaders and leadership. Procedia Computer Science, 200, 1024-1030. https://doi.org/10.1016/j.procs.2022.01.301
-      PiranNejad, A., Sarvostani, M., &. NargesianSarvostani, A. (2021). Identifying prerequisites for the exploitation of artificial intelligence in human resource management (Master's thesis). University of Tehran, Faculty of Management, Tehran, Iran. [in persian]
-      Popo-Olaniyan, O., James, O. O., Udeh, C. A., Daraojimba, R. E., & Ogedengbe, D. E. (2022). Future-proofing human resources in the u.s. with ai: a review of trends and implications. International Journal of Management & Entrepreneurship Research, 4(12), 641–658. https://doi.org/10.51594/ijmer.v4i12.676
-      Qamar, Y., Agrawal, R.K., Samad, T.A., & Chiappetta Jabbour, C.J. (2021). When technology meets people: the interplay of artificial intelligence and human resource management. Journal of Enterprise Information Management, 34(5), 1339-1370. http://dx.doi.org/10.1108/JEIM-11-2020-0436
-      Radonjić, A., Duarte, H., & Pereira, N. (2024). Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges. European Management Journal, 42(1), 57-66. http://dx.doi.org/10.1016/j.emj.2022.07.001
-      Ravi, B.S., & Sumathi, G.N. (2023). Impact of HR managers’ competencies on organizational effectiveness: Mediating role of innovative HR practices. Problems and Perspectives in Management, 21(2), 667-681. http://dx.doi.org/10.21511/ppm.21(2).2023.60
-      Ronaghi, M.H., & Ronaghi, M. (2014). A Model for Business Intelligence Systems Maturity. Iran. Roshd-e-Fanavari, 10(38), 38-44. http://www.roshdefanavari.ir/Article/139305131153111663  [in persian].
-      ShamsZare, M., Tahmasebi, R., & Yazdani, H. (2018). Maturity assessment of HRM processes based on HR process survey tool: a case study. Business Process Management Journal, 24(3), 610-634. https://dor.isc.ac/dor/20.1001.1.82548002.1397.10.1.1.4  [in persian]
-      Shaygan, A., & Daim, T. (2023). Technology management maturity assessment model in healthcare research centers. Technovation, 120, 102444. http://dx.doi.org/10.1016/j.technovation.2021.102444
-      Shekari, G., & Shibanifar, M. (2013). Maturity level of Khorasan Razavi Gas Company in performance management process based on the PCMM model. Public Management Perspective, 4(1), 129-157. https://civilica.com/doc/1288979/  [in persian]
-      Shirzad, M., KamarKhani, H., & Rasouli, S.A. (2020). The necessity of using AI systems in organizational management. First National Conference on Management and Tourism Industry, Tehran. Retrieved from. https://civilica.com/doc/1161760/  [in persian]
-      Shukla, S.K., & Sushil. (2022). Benchmarking the practices of flexibility with maturity models and frameworks of organizational capabilities. Benchmarking: An International Journal, 29(2), 664-682. http://dx.doi.org/10.1108/BIJ-08-2020-0459
-      Singh, A., & Chouhan, T. (2023). Artificial intelligence in HRM: role of emotional–social intelligence and future work skill. In The adoption and effect of artificial intelligence on human resources management, part A (pp. 175-196). Emerald Publishing Limited. http://dx.doi.org/10.1108/978-1-80382-027-920231009
-      Smith, T., & Johnson, M. (2023). Comparative Study of AI Adoption in HR Across Sectors Management Science Quarterly, 59(4), 310-328. http://dx.doi.org/10.4018/IJABIM.376012
-