The Impact of Network Security Adoption on Electronic Human Resource Management: The ‎Mediate Role of Intelligent Decision-Support Applications –A Case Study on The Dinarak E-Wallet

  • Authors

    • Osama Mousa Alawneh Faculty of Business, Jadara University, Jordan
    • Mahmoud Izzat Allahham Faculty of Business, Amman Arab University, Jordan
    • Bashar Almagharbeh Business Department, Amman Arab University, Amman, Jordan
    • Tarek Al Oakely University of New England
    • Bahjat Mohammad Ogielat University of Texas at Rio Grande Valley USA, College of Business
    • Majed Muhammad Abdoh Aldalalah Oman
    https://doi.org/10.14419/pf6gk427

    Received date: December 3, 2025

    Accepted date: December 26, 2025

    Published date: January 4, 2026

  • Authentication; Confidentiality Protection; Network Monitoring; Electronic Human Resource ‎Management; Intelligent Decision-Support Applications.
  • Abstract

    This study investigates how network security adoption influences electronic human resource ‎management within digital financial services, focusing on the Dinarak E-Wallet platform. The research ‎develops a mediation model in which intelligent decision-support applications operate as an enhancing ‎mechanism that strengthens the link between secure digital infrastructures and effective HRM functions. ‎A quantitative descriptive design was employed, and 387 valid responses were collected from a ‎distributed sample of 500 questionnaires. The findings demonstrate that strong network security ‎practices significantly improve the effectiveness of E-HRM by safeguarding data flows, stabilizing ‎digital processes, and improving system reliability. The mediating role of intelligent decision-support ‎applications further amplifies this impact by improving workflow accuracy, supporting real-time ‎decision-making, and increasing operational alignment across HR activities. The results highlight how ‎secure digital ecosystems, supported by smart analytical tools, can enhance HR efficiency within mobile ‎payment environments. The study enriches the existing literature by offering empirical evidence from a ‎rapidly expanding fintech service, emphasizing the strategic importance of integrating security ‎mechanisms with intelligent digital applications. Limitations and recommendations for future research ‎are presented in the conclusion‎.

  • References

    1. Aboramadan, M., Dahleez, K. A., Farao, C., & Alshurafa, M. (2021). Performance measurement and NPOs’ effectiveness: Does internal stakehold-ers’ trust matter? Benchmarking: An International Journal, 28(8), 2580–2602. https://doi.org/10.1108/BIJ-07-2020-0347.
    2. Ahmed, A., Bhatti, S. H., Gölgeci, I., & Arslan, A. (2022). Digital platform capability and organizational agility of emerging market manufacturing SMEs: The mediating role of intellectual capital and the moderating role of environmental dynamism. Technological Forecasting and Social Change, 177, 121513. https://doi.org/10.1016/j.techfore.2022.121513
    3. Al Aina, R., & Atan, T. (2020). The impact of implementing talent management practices on sustainable organizational performance. Sustainability, 12(20), 8372. https://doi.org/10.3390/su12208372.
    4. Alawneh, O. M., Tawalbeh, J., & Aloqaily, A. N. (2025). Reveling the interrelationship of digital transformation and business intelligence tech-niques to boost human capital development. Economics Innovative and Economics Research Journal, 13(1), 509–524. https://doi.org/10.2478/eoik-2025-0024.
    5. Jawabreh, O., Allahham, M., Alawneh, O. M., Almajali, W., & Al-Nsour, I. A. (2025). The impact of IoT on tourist satisfaction: The mediating role of HRM capabilities in the hotel industry. GeoJournal of Tourism and Geosites, 62(4), 2158–2169. https://doi.org/10.30892/gtg.62415-1581.
    6. Alawneh, O. M., Allahham, M., Habeeb, A. F. H., Al-Nsour, I. A., & Jawabreh, O. (2025). Evaluating how big data analysis mediates the impact of digital marketing strategies on tourism development in Jordan. GeoJournal of Tourism and Geosites, 62(4), 2053–2062. https://doi.org/10.30892/gtg.62405-1571.
    7. Al Jabri, M. A., Shaloh, S., Shakhoor, N., Haddoud, M. Y., & Obeidat, B. Y. (2024). The impact of dynamic capabilities on enterprise agility: The intervening roles of digital transformation and IT alignment. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100266. https://doi.org/10.1016/j.joitmc.2024.100266.
    8. Alashqar, M. M., Abulehia, A. F. S., Atieh, A. A., Mahmoud, M. H., & Alzubi, M. M. S. (2025). Legal framework for regulating AI in smart cities: Privacy, surveillance, and ethics. In 2025 International Conference for Artificial Intelligence, Applications, Innovation and Ethics (AI2E) (pp. 1–6). https://doi.org/10.1109/AI2E64943.2025.10983107.
    9. Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). Methodological approach to assessing the current state of organizations for AI-based digital transformation. Applied System Innovation, 7(1), 14. https://doi.org/10.3390/asi7010014.
    10. Alhosani, F. H., & Ahmad, S. Z. (2024). Role of human resource practices, leadership and intellectual capital in enhancing organisational perfor-mance: The mediating effect of organisational agility. Journal of Intellectual Capital, 25(4), 664–685. https://doi.org/10.1108/JIC-08-2023-0183.
    11. AlNuaimi, B. K., Singh, S. K., Ren, S., Budhwar, P., & Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agil-ity, and digital strategy. Journal of Business Research, 145, 636–648. https://doi.org/10.1016/j.jbusres.2022.03.038.
    12. Alos-Simo, L., Verdu-Jover, A. J., & Gomez-Gras, J.-M. (2017). How transformational leadership facilitates e-business adoption. Industrial Man-agement & Data Systems, 117(2), 382–397. https://doi.org/10.1108/IMDS-01-2016-0038.
    13. Alqarni, K., Agina, M. F., Khairy, H. A., Al-Romeedy, B. S., Farrag, D. A., & Abdallah, R. M. (2023). The effect of electronic human resource management systems on sustainable competitive advantages: The roles of sustainable innovation and organizational agility. Sustainability, 15(23), 16382. https://doi.org/10.3390/su152316382.
    14. AlTaweel, I. R., & Al-Hawary, S. I. (2021). The mediating role of innovation capability on the relationship between strategic agility and organiza-tional performance. Sustainability, 13(14), 7564. https://doi.org/10.3390/su13147564.
    15. Alzubi, M. M. S., Alrifae, A. A. M., Mahmoud, M. H., & Atieh, A. A. (2025). Factors influencing business intelligence adoption by Jordanian pri-vate universities. PaperASIA, 41(1b), 148–167. https://doi.org/10.59953/paperasia.v41i1b.378.
    16. Arsawan, I. W. E., Hariyanti, N. K. S., Atmaja, I. M. A. D. S., Suhartanto, D., & Koval, V. (2022). Developing organizational agility in SMEs: An investigation of innovation’s roles and strategic flexibility. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 149. https://doi.org/10.3390/joitmc8030149.
    17. Asif, M., Yang, L., & Hashim, M. (2024). The role of digital transformation, corporate culture, and leadership in enhancing corporate sustainable performance in the manufacturing sector of China. Sustainability. https://doi.org/10.3390/su16072651.
    18. Baiyere, A., Salmela, H., & Tapanainen, T. (2020). Digital transformation and the new logics of business process management. European Journal of Information Systems, 29(3), 238–259. https://doi.org/10.1080/0960085X.2020.1718007.
    19. Balouei Jamkhaneh, H., Shahin, A., Parkouhi, S. V., & Shahin, R. (2022). The new concept of quality in the digital era: A human resource empow-erment perspective. The TQM Journal, 34(1), 125–144. https://doi.org/10.1108/TQM-01-2021-0030.
    20. Baškarada, S., & Koronios, A. (2018). The 5S organizational agility framework: A dynamic capabilities perspective. International Journal of Organ-izational Analysis, 26(2), 331–342. https://doi.org/10.1108/IJOA-05-2017-1163
    21. Berman, S. J. (2012). Digital transformation: Opportunities to create new business models. Strategy & Leadership, 40(2), 16–24. https://doi.org/10.1108/10878571211209314.
    22. Biron, M., De Cieri, H., Fulmer, I., Lin, C.-H. V., Mayrhofer, W., Nyfoudi, M., Sanders, K., Shipton, H., & Sun, J. M. J. (2021). Structuring for innovative responses to human resource challenges: A skunk works approach. Human Resource Management Review, 31(2), 100768. https://doi.org/10.1016/j.hrmr.2020.100768.
    23. Bresciani, S., Ferraris, A., Santoro, G., & Kotabe, M. (2022). Opening up the black box on digitalization and agility: Key drivers and main out-comes. Technological Forecasting and Social Change, 121567. https://doi.org/10.1016/j.techfore.2022.121567.
    24. Butt, J. (2020). A conceptual framework to support digital transformation in manufacturing using an integrated business process management ap-proach. Designs, 4(3), 17. https://doi.org/10.3390/designs4030017
    25. Chakraborty, D., & Biswas, W. (2020). Articulating the value of human resource planning activities in augmenting organizational performance. Journal of Asia Business Studies, 14(1), 62–90. https://doi.org/10.1108/JABS-01-2019-0025.
    26. Cheng, M., Li, X., & Xu, J. (2022). Promoting healthcare workers’ adoption intention of artificial-intelligence-assisted diagnosis and treatment: The chain mediation of social influence and human-computer trust. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph192013311.
    27. Choudhury, A., Behl, A., Sheorey, P. A., & Pal, A. (2021). Digital supply chain to unlock new agility: A TISM approach. Benchmarking, 28(6), 2075–2109. https://doi.org/10.1108/BIJ-08-2020-0461
    28. Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the value of arti-ficial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899.
    29. Creswell, J. W. (2021). A concise introduction to mixed methods research. SAGE. https://doi.org/10.1016/j.hrmr.2022.100899.
    30. Dahlbom, P., Siikanen, N., Sajasalo, P., & Jarvenpää, M. (2020). Big data and HR analytics in the digital era. Baltic Journal of Management, 15(1), 120–138. https://doi.org/10.1108/BJM-11-2018-0393.
    31. Davidescu, A. A., Apostu, S.-A., Paul, A., & Casuneanu, I. (2020). Work flexibility, job satisfaction, and job performance among Romanian em-ployees. Sustainability, 12(15), 6086. https://doi.org/10.3390/su12156086.
    32. Eisenbeiss, S. A., Van Knippenberg, D., & Boerner, S. (2008). Transformational leadership and team innovation. Journal of Applied Psychology, 93(6), 1438–1446. https://doi.org/10.1037/a0012716
    33. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Market-ing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104.
    34. Galanti, T., De Vincenzi, C., Buonomo, I., & Benevene, P. (2023). Digital transformation: inevitable change or sizable opportunity? The strategic role of HR management in Industry 4.0. Administrative Sciences, 13(2), 30. https://doi.org/10.3390/admsci13020030.
    35. Garg, S., Sinha, S., Kar, A. K., & Mani, M. (2022). A review of machine learning applications in human resource management. International Jour-nal of Productivity and Performance Management, 71(5), 1590–1610. https://doi.org/10.1108/IJPPM-08-2020-0427.
    36. Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT. Education Sciences. https://doi.org/10.3390/educsci13070692.
    37. Gupta, S., Modgil, S., Gunasekaran, A., & Bag, S. (2020). Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. Supply Chain Forum: An International Journal, 21(3), 139–157. https://doi.org/10.1080/16258312.2020.1757369.
    38. Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128.
    39. Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. SAGE. https://doi.org/10.15358/9783800653614.
    40. Halid, H., Ravesangar, K., Mahadzir, S. L., & Halim, S. N. A. (2024). Artificial intelligence in human resource management. In Human Resource Management in the Digital Era (pp. 37–70). Springer. https://doi.org/10.1007/978-3-031-52811-8_2.
    41. Hanelt, A., Bohnsack, R., Marz, D., & Marante, C. A. (2021). A systematic review of the literature on digital transformation. Journal of Manage-ment Studies, 58(5), 1159–1197. https://doi.org/10.1111/joms.12639.
    42. Harsch, K., & Festing, M. (2020). Dynamic talent management capabilities and organizational agility. Human Resource Management, 59(1), 43–61. https://doi.org/10.1002/hrm.21972.
    43. Hasan, E. F., Alzuod, M. A., Al Jasimee, K. H., Alshdaifat, S. M., Hijazin, A. F., & Khrais, L. T. (2025). The role of organizational culture in digi-tal transformation and modern accounting practices among Jordanian SMEs. Journal of Risk and Financial Management, 18(3), 147. https://doi.org/10.3390/jrfm18030147
    44. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8.
    45. Hernita, H., Surya, B., Perwira, I., Abubakar, H., & Idris, M. (2021). Business sustainability and strengthening HR capacity of SMEs. Sustainabil-ity, 13(6), 3177. https://doi.org/10.3390/su13063177.
    46. Holbeche, L. (2019). Designing sustainably agile and resilient organizations. Systems Research and Behavioral Science, 36(5), 668–677. https://doi.org/10.1002/sres.2624.
    47. Huo, W., Zhang, Z., Qu, J., Yan, J., Yan, S., Yan, J., & Shi, B. (2024). Speciesism and preference of human–AI interaction. International Journal of Human-Computer Interaction, 40(11), 2925–2937. https://doi.org/10.1080/10447318.2023.2176985.
    48. Imran, F., Shahzad, K., Butt, A., & Kantola, J. (2021). Digital transformation of industrial organizations. Journal of Change Management, 21(4), 451–479. https://doi.org/10.1080/14697017.2021.1929406.
    49. Kaber, D. B., & Endsley, M. R. (2004). Effects of automation level on performance and workload. Theoretical Issues in Ergonomics Science, 5(2), 113–153. https://doi.org/10.1080/1463922021000054335.
    50. Kambur, E., & Yildirim, T. (2023). From traditional to smart human resources management. International Journal of Manpower, 44(3), 422–452. https://doi.org/10.1108/IJM-10-2021-0622.
    51. Katou, A. A. (2022). Human resources flexibility as a mediating mechanism. EuroMed Journal of Business, 17(2), 174–192. https://doi.org/10.1108/EMJB-11-2020-0120.
    52. Khuntia, J., Saldanha, T., Kathuria, A., & Tanniru, M. R. (2024). Digital service flexibility. European Journal of Information Systems, 33(1), 61–79. https://doi.org/10.1080/0960085X.2022.2115410.
    53. Khurana, I., Dutta, D. K., & Ghura, A. S. (2022). SMEs and digital transformation during crisis. Journal of Business Research, 150, 623–641. https://doi.org/10.1016/j.jbusres.2022.06.048.
    54. Kleynhans, D. J. (2022). Dynamic organisational capabilities and employee flourishing in a precarious work context. North-West University.
    55. Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital transformation: Overview of current re-search. SAGE Open, 11(3), https://doi.org/10.1177/21582440211047576.
    56. Kuhn, K. M., Meijerink, J., & Keegan, A. (2021). HRM and the gig economy. Research in Personnel and Human Resources Management, 39, 1–46. https://doi.org/10.1108/S0742-730120210000039001.
    57. Kwon, K., & Jang, S. (2022). There is no good war for talent. Employee Relations, 44(1), 94–120. https://doi.org/10.1108/ER-08-2020-0374.
    58. Leon, R. D. (2023). Employees’ reskilling and upskilling for industry 5.0. Technology in Society, 75, 102393. https://doi.org/10.1016/j.techsoc.2023.102393.
    59. Leso, H. B., Cortimiglia, M. N., Ghezzi, A., & Minatogawa, V. (2024). Exploring digital transformation capability. Review of Managerial Science, 18(4), 1149–1187.
    60. Madhani, P. M. (2021). Enhancing supply chain capabilities with blockchain deployment. IUP Journal of Business Strategy, 18(4), 7–31. https://doi.org/10.1007/s11846-023-00692-3.
    61. Mahato, M., Kumar, N., & Jena, L. K. (2021). Rethinking gig economy post-COVID-19. Journal of Work-Applied Management, 13(2), 261–276. https://doi.org/10.1108/JWAM-05-2021-0037.
    62. Mahmoud, M. H. (2025). Mitigating employee turnover in Jordanian private universities. Human Systems Management. https://doi.org/10.1177/01672533251355888.
    63. Mahmoud, M. H., & Othman, R. (2023). Performance management system in developing countries. Journal of Public Affairs, 23(4), e2864. https://doi.org/10.1002/pa.2864.
    64. Mahmoud, M. H., & Othman, R. (2024). Effects of NPM reforms on HR practices. Management and Labour Studies, 49(1), 149–176. https://doi.org/10.1177/0258042X231185216
    65. McCartney, S., & Fu, N. (2022). Bridging the gap: When HR analytics impacts performance. Management Decision, 60(13), 25–47. https://doi.org/10.1108/MD-12-2020-1581.
    66. Minbaeva, D. (2021). Disrupted HR? Human Resource Management Review, 31(4), 100820. https://doi.org/10.1016/j.hrmr.2020.100820.
    67. Mrugalska, B., & Ahmed, J. (2021). Organizational agility in Industry 4.0. Sustainability, 13(15), 8272. https://doi.org/10.3390/su13158272.
    68. Nambisan, S., Wright, M., & Feldman, M. (2019). Digital transformation of innovation and entrepreneurship. Research Policy, 48(8), 103773. https://doi.org/10.1016/j.respol.2019.03.018.
    69. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
    70. Daoud, M. K., Sharabati, A. A., Samarah, T., Alqurashi, D., Alfityani, A., Allahham, M., & Nasereddin, A. Y. (2024). Optimizing online visibility: A comprehensive study on effective SEO strategies and their impact on website ranking. Journal of Infrastructure, Policy and Development, 8(7), 4860.‏ https://doi.org/10.24294/jipd.v8i7.4860.
    71. Sabra, S., Sharabati, A. A. A., Almajali, W. I., Allahham, M., & Alqurashi, D. R. (2024). The mediating effect of TQM on the relationship between market orientation and organizational performance. Uncertain Supply Chain Management, 12(4), 2807-2816.‏ https://doi.org/10.5267/j.uscm.2024.4.021.
    72. Al-Daradkah, H. Y., Allahham, M., & Sabra, S. (2024). Sustainability as a Mediator of Artificial Intelligence's Impact on Reverse Logistics: In-sights from the Energy Sector. Pakistan Journal of Life & Social Sciences, 22(2).‏ https://doi.org/10.57239/PJLSS-2024-22.2.00850.
    73. Alsammak, M. (2025). Adopting green knowledge management processes via core business processes to promote sustainable innovation. Quality – Access to Success, 26(209), Article 14.
    74. Aljalely, A., & Alsammak, M. (2019). Cognitive transformation reflections based on the supply chain management and 5S requirements (An analyt-ical descriptive study of a sample of workers in Zaki/Iraq factory in the province of Dohuk). International Journal of Supply Chain Management.
    75. Al-Sammak, M. A. J., Al-Hamamy, M. A., & Yaqoob, M. K. (2025). The role of open knowledge management in driving marketing innovation within organizations: The mediating role of technology empowerment. Problems and Perspectives in Management, 23(4), Article 6. https://doi.org/10.21511/ppm.23(4).2025.06.
    76. Al-Sammak, M. A. J., Al-Hamamy, M. A., Yaqoob, M. K., & Jassim, I. M. (2025). Green knowledge to market performance: Does leadership bridge the gap in Iraq's renewable energy companies. International Journal of Operations and Quantitative Management, 31(1), Article 5.
    77. Cao, L., Ahmad, S. F., Wang, Y., Jamal Shah, S., Ibrahim, M., Alhamdi, F. M., ... & Abbas, A. (2025). Examining the relationship of inflation, gross domestic product, oil price, foreign direct investment, and trade openness on unemployment in Saudi Arabia. Humanities and Social Sciences Communications, 12(1), 1-12.‏ https://doi.org/10.1057/s41599-025-05059-5.
    78. Khaled, H.; Yahiya, A.; Ahmad, B.; Allahham, M.; Al-, M. Uncertain Supply Chain Management the Mediating Role of ICT on the Impact of Supply Chain Management ( SCM ) on Organizational Performance ( OP ): A Field Study in Pharmaceutical Companies in Jordan. 2024, 12, 1251–1266, https://doi.org/10.5267/j.uscm.2023.11.011.
    79. Alkhazaleh, A.; Assaf, A.; Shehada, M.; Almustafa, E.; Allahham, M. Analysis of the Impact of Fintech Firms’ Lending on the Expansion of Ser-vice Base Companies in Jordan. Inf. Sci. Lett. 2023, 12, 2891–2902, https://doi.org/10.18576/isl/120837.
    80. Bataineh, A. Q., Abu-AlSondos, I. A., Almazaydeh, L., El Mokdad, S. S., & Allahham, M. (2023). Enhancing Natural Language Processing with Machine Learning for Conversational AI. 2023, 2023. https://doi.org/10.1049/icp.2024.0492.
  • Downloads

  • How to Cite

    Mousa Alawneh , O. ., Allahham, M. I. ., Almagharbeh , B. ., Al Oakely , T. ., Mohammad Ogielat, B. ., & Muhammad Abdoh Aldalalah, M. . (2026). The Impact of Network Security Adoption on Electronic Human Resource Management: The ‎Mediate Role of Intelligent Decision-Support Applications –A Case Study on The Dinarak E-Wallet. International Journal of Accounting and Economics Studies, 12(8), 1120-1131. https://doi.org/10.14419/pf6gk427