Factors affecting the Low Adoption of the Human Resource Management Information System 2.0 among Junior Public Officers in Putrajaya

Authors

  • Azzizatul Ain Sabani Bilateral Department, Ministry of Foreign Affairs, 62602 Putrajaya, Malaysia
  • Abdurrahman Jalil College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, 40150 Shah Alam, Selangor, Malaysia
  • Mohammad Fazli Baharuddin College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, 40150 Shah Alam, Selangor, Malaysia
  • Fadhilnor Rahmad College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, 40150 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v9iSI18.5477

Keywords:

Human Resources, Resource Management, Information System, Public Officers

Abstract

This study investigates the factors affecting the low adoption of the Human Resource Management Information System 2.0 (HRMIS 2.0) among junior officers that fall into grades 41 - 44 working in Putrajaya. Although it has been used for more than ten years now, the adoption rate is still low. Therefore, this research adopts a quantitative research method that utilizes Technology Acceptance Model (TAM) to understand the issue. The results show that perceived usefulness, perceived ease of use, IT infrastructure and individual experience with computers have significant impact. Thus, this research serves to inform public sectors by considering the identified factors.   

References

Aladwani, A. M. (2003). A Deeper Look at the Attitude-Behavior Consistency Assumption in Information Systems Satisfaction Research. Social Science Research Network. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1762623

Arifin, M. A., & Tajudeen, F. P. (2020). Impact of human resources information systems in the military environment. Asia-Pacific Management Review, 25(4), 198–206. https://doi.org/10.1016/j.apmrv.2020.02.001 DOI: https://doi.org/10.1016/j.apmrv.2020.02.001

Barnes, D., & Rowbotham, F. (2003). Developing a questionnaire for the four-stage model of operations strategy. Production Planning & Control, 14(7), 613–622. https://doi.org/10.1080/09537280310001626205 DOI: https://doi.org/10.1080/09537280310001626205

Cheung, A. K. L. (2014). Structured Questionnaires. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well Being Research, 6399-6402, Netherlands. Springer DOI: https://doi.org/10.1007/978-94-007-0753-5_2888

Chin, W. W. (1999). Structural Equation Modeling Analysis with Small Samples Using Partial Least Square. ResearchGate. https://www.researchgate.net/publication/242370645

Chowdhury, J., Bandhyapadhya, P., & Hazra, G. (2012). Integration of Human Resource Information System to DSS, CMS and other applications to increase productivity. International Journal of Computer and Technology, 3(1), 55–59. https://doi.org/10.24297/ijct.v3i1a.2726 DOI: https://doi.org/10.24297/ijct.v3i1a.2726

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008

Gillham, B. (2008). Developing a Questionnaire (2nd ed.). London: Continuum.

Hair, J. F. J., Christian, M. R. & Marko, S. (2011). PLS-SEM: Indeed A Silver Bullet. The Journal of Marketing Theory and Practice, 19(2), 139-151. https://doi.org/10.2753/MTP1069-6679190202 DOI: https://doi.org/10.2753/MTP1069-6679190202

Hendrickson, A. R. (2003). Human resource information systems: Backbone technology of contemporary human resources. Journal of Labor Research, 24(3), 381–394. https://doi.org/10.1007/s12122-003-1002-5 DOI: https://doi.org/10.1007/s12122-003-1002-5

Ibrahim, H., Shamsudin, F. M., Zin, M. L. M., & Subramaniam, C. (2018). Understanding User Characteristics as Antecedents of Technostress towards HRMIS: A Mixed-Method Study. Jurnal Pengurusan, 53, 37-47. DOI: https://doi.org/10.17576/pengurusan-2018-53-04

Jalil, A., Ghani, M. A. A., Wahab, H., Mustafa, A. & Shibghatullah, A. S. (2023). A preliminary study on knowledge retention strategy in Faculty of Information Management of UiTM. Journal of Information and Knowledge Management, 13(1), 110-120.

Kovach, K. A., Hughes, A. A., Fagan, P., & Maggitti, P. G. (2002). Administrative and Strategic Advantages of HRIS. Employment Relations Today, 29(2), 43–48. https://doi.org/10.1002/ert.10039 DOI: https://doi.org/10.1002/ert.10039

Kowitlawakul, Y. (2011). The Technology Acceptance Model. CIN: Computers, Informatics, Nursing, 29(7), 411–418. https://doi.org/10.1097/ncn.0b013e3181f9dd4a DOI: https://doi.org/10.1097/NCN.0b013e3181f9dd4a

Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to Use Elearning Systems. Journal of Educational Technology and Society, 14(4).

Nagendra, A., & Deshpande, M. (2014). Human Resource Information Systems (HRIS) in HR planning and development in mid to large sized organizations. Procedia - Social and Behavioral Sciences, 133, 61–67. https://doi.org/10.1016/j.sbspro.2014.04.169 DOI: https://doi.org/10.1016/j.sbspro.2014.04.169

Nakoo, M., Ab Samad, R. S., & Krishnan, K. (2019). Relationship of Human Resource Management Information System (HRMIS) with Employees Satisfaction in the National Youth Skills Institute Malaysia. International Journal of Science Arts and Commerce, 1(9).

Nejib, B. M, & Rakia, E. A. (2020). The impact of Human Resources Information Systems on individual innovation capability in Tunisian companies: The moderating role of affective commitment. European Research on Management and Business Economics, 26(1), 18-25. https://doi.org/10.1016/j.iedeen.2019.12.001 DOI: https://doi.org/10.1016/j.iedeen.2019.12.001

Raju, N. V., & NS, H. (2016). Online survey tools: A case study of Google Forms. ResearchGate. https://www.researchgate.net/publication/326831738

Shukor, S.A., Munir, Z.B., Ibrahim, M.A., Omar, N., & Malik, S.B. (2019). The Competitive Advantage of Technology: The Impact of Human Resources, Organization and Technology at a Local State Government-Based Organization. International Journal of Academic Research in Business and Social Sciences. DOI: https://doi.org/10.6007/IJARBSS/v9-i6/6067

Sinniah, S., Kumar, R., Mohamed, M. H., SPR, C. R., Nor, C. S. M., Selvarajah, D. D., & Perumal I. (2019). User Satisfaction of Human Resource Management System in Rural Area. International Journal of Engineering and Advanced Technology, 8(5C), 73–79. https://doi.org/10.35940/ijeat.e1010.0585c19 DOI: https://doi.org/10.35940/ijeat.E1010.0585C19

Thani, A. I. A., Thani, A. K. A., Sakarji, S. R., & Rosely, N. H. (2023). User Satisfaction of Human Resource Management Information System (HRMIS) in Akademi Latihan Pertahanan Awam Malaysia (ALPHA), Bangi, Selangor. International Journal of Academic Research in Accounting, Finance and Management Sciences, 12(3), 912-919. http://dx.doi.org/10.6007/IJARAFMS/v12-i3/19036

Townsend, P., & Cairns, L. G. (2003). Developing the global manager using a capability framework. Management Learning, 34(3), 313–327. https://doi.org/10.1177/13505076030343002 DOI: https://doi.org/10.1177/13505076030343002

Vernell, D. & Michael, D. B. (2018). The Technology Acceptance Model (TAM): Exploring School Counselors’ Acceptance and Use of Naviance. The Professional Counselor, 8(4), 369-382. https://doi.org/10.15241/vd.8.4.369 DOI: https://doi.org/10.15241/vd.8.4.369

Zahari, A. S. M., Harun, M. A., Hamzah, S. F. M. & Salleh, S. M. (2018). The influence of Human Resource Management Information System (HRMIS) Application towards Employees Efficiency and Satisfaction. Journal of Physics: Conference Series, 1019(1):012077. https://doi.org/10.1088/1742-6596/1019/1/012077 DOI: https://doi.org/10.1088/1742-6596/1019/1/012077

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Published

2024-01-17

How to Cite

Sabani, A. A., Jalil, A., Baharuddin, M. F., & Rahmad, F. (2024). Factors affecting the Low Adoption of the Human Resource Management Information System 2.0 among Junior Public Officers in Putrajaya . Environment-Behaviour Proceedings Journal, 9(SI18), 165–173. https://doi.org/10.21834/e-bpj.v9iSI18.5477

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