Integrated Procurement System As A Catalyst For Bumn Procurement Digitalization: Resistance And Opportunities
DOI:
https://doi.org/10.22219/jrak.v15i2.40140Keywords:
e-Procurement, Integrated Procurement System, Resistance to Change, State-Owned EnterprisesAbstract
Purpose: This study aims to explore user resistance to the implementation of the Integrated Procurement System (IPS) as part of the digitalization of goods and services procurement within state-owned enterprises (BUMN) in the plantation sector, specifically in PT Perkebunan Nusantara (PTPN) Group. The primary focus is to identify the underlying factors of resistance, assess its impact on system effectiveness, and formulate appropriate change management strategies.
Methodology/approach: This research employs a transcendental phenomenological methodology to uncover the subjective meanings behind users’ experiences with the IPS. Data were collected through in-depth interviews and observations involving procurement staff, finance, legal, regional management, and vendors. The Technology Acceptance Model (TAM) serves as the analytical framework to understand user perceptions regarding perceived usefulness, perceived ease of use, perceived trust, and perceived security in the context of digital system adoption.
Findings: The study reveals five main causes of resistance: lack of understanding, aversion to change, fear of audits, leadership gaps, and conflicts of interest. These factors led to delayed financial processes and weakened internal control. However, the study also found opportunities such as improved transparency, digital leadership, and potential integration of AI in procurement workflows.
Practical implications: The study offers strategic recommendations, including awareness-based training, the use of artificial intelligence (AI), the strengthening of transformational leadership roles, and the harmonization of digital regulations to enhance the effectiveness of IPS implementation in BUMN environments.
Originality/value:
This study provides a novel contribution by deeply understanding users’ subjective experiences during IPS implementation in state-owned enterprises. Through a transcendental phenomenological approach, the research uncovers the meaning embedded in these experiences to identify resistance factors, analyze their impact on system effectiveness, and develop context-specific change management strategies aligned with the organization’s characteristics. The use of the Technology Acceptance Model (TAM) as an analytical tool structures the findings and offers a holistic perspective on user resistance, encompassing technical, psychological, and social dimensions.
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References
Ahmad, H., Abul Hassan, S. H., & Ismail, S. (2023). Transparency level of the electronic procurement system in Malaysia. Journal of Financial Reporting and Accounting, 21(3), 592–606. https://doi.org/10.1108/JFRA-07-2021-0181
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). Extending the Technology Acceptance Model (TAM) to predict university students’ intentions to use metaverse-based learning platforms. Education and Information Technologies, 28(11), 15381–15413.
https://doi.org/10.1007/s10639-023-11816-3
Banmairuroy, W., Kritjaroen, T., & Homsombat, W. (2022). The effect of knowledge-oriented leadership and human resource development on sustainable competitive advantage through organizational innovation’s component factors: Evidence from Thailand’s new S-curve industries. Asia Pacific Management Review, 27(3), 200–209. https://doi.org/10.1016/j.apmrv.2021.09.001
Bombaerts, G., & Botin, L. (2025). From individual intentionality to sympoiesis in system phenomenology. Philosophy and Technology, 38(1).
https://doi.org/10.1007/s13347-025-00859-8
Chan, A. P. C., & Owusu, E. K. (2022). Evolution of electronic procurement: Contemporary review of adoption and implementation strategies. Buildings, 12(2), 198. https://doi.org/10.3390/buildings12020198
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Thousand Oaks, CA: SAGE Publications.
Gupta, S., Abbas, A. F., & Srivastava, R. (2022). Technology Acceptance Model (TAM): A bibliometric analysis from inception. Telecommunications and the Digital Economy, 10(3), 77–106. https://doi.org/10.18080/jtde.v10n3.598
Hochstetter Diez, J., Negrier-Seguel, M., Diéguez-Rebolledo, M., Vásquez-Morales, F., & Sancho-Chavarría, L. (2023). Governance, democratic and big data: A systematic mapping review. Sustainability, 15(16), 12630.
https://doi.org/10.3390/su151612630
Husserl, E. (2006). The basic problems of phenomenology (I. Farin, Trans.). Dordrecht, Netherlands: Springer. https://doi.org/10.1007/1-4020-3789-9
Indonesia. Presiden. (2023). Peraturan Presiden Republik Indonesia Nomor 17 Tahun 2023 tentang Percepatan Transformasi Digital di Bidang Pengadaan Barang/Jasa Pemerintah. Lembaran Negara Republik Indonesia Tahun 2023 Nomor 31.
Kamayanti, A. (2021). Metodologi Penelitian Kualitatif Akuntansi (A. D. Mulawarman, Ed.; Edisi revisi). Malang, Indonesia: Penerbit Peneleh.
Khorana, S., Caram, S., & Rana, N. P. (2024). Measuring Public Procurement Transparency with an index: Exploring the Role of e-GP systems and institutions. Government Information Quarterly, 41(3).
https://doi.org/10.1016/j.giq.2024.101952
Kuswarno, E. (2009). Metodologi Penelitian Komunikasi: Fenomenologi, Konsepsi, Pedoman, dan Contoh Penelitian (M. A. Z., Ed.). Bandung, Indonesia: Widya Padjadjaran.
Laudon, K. C., & Laudon, J. P. (2022). Management Information Systems: Managing the Digital Firm (16th ed.). Harlow, England: Pearson Education Limited.
Ma, Q., & Liu, L. (2011). The Technology Acceptance Model. In Advanced Topics in End User Computing (Vol. 4, pp. 59–70). IGI Global.
https://doi.org/10.4018/9781591404743
Maslani, M., Hartoyo, S., Syarief, R., & Harianto. (2024). Strengthening the competitiveness of state-owned enterprises. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 199.
https://doi.org/10.1016/j.joitmc.2023.100199
Mavidis, A., & Folinas, D. (2022). From Public E-Procurement 3.0 to E-Procurement 4.0: A critical literature review. Sustainability, 14(18), 11252.
https://doi.org/10.3390/su141811252
Moerer Urdahl, T., & Creswell, J. W. (2004). Using transcendental phenomenology to explore the “ripple effect” in a leadership mentoring program. International Journal of Qualitative Methods, 3(2), 1–28.
https://journals.library.ualberta.ca/ijqm/index.php/IJQM/article/view/4476/3662
Mohungoo, I., Brown, I., & Kabanda, S. (2020). A systematic review of implementation challenges in public e-procurement. Lecture Notes in Computer Science, 12067, 46–58. https://doi.org/10.1007/978-3-030-45002-1_5
Moustakas, C. (1994). Phenomenological research methods. Thousand Oaks, CA: SAGE Publications. https://doi.org/10.4135/9781412995658
Musa, U., Jaafar, M., & Raslim, F. M. (2023). E-procurement adoption in Nigeria: Perceptions from the public sector employees. Arab Gulf Journal of Scientific Research. https://doi.org/10.1108/AGJSR-10-2022-0224
Nnaji, C., Okpala, I., Awolusi, I., & Gambatese, J. (2023). A systematic review of technology acceptance models and theories in construction research. Journal of Information Technology in Construction, 28, 39–69.
https://doi.org/10.36680/j.itcon.2023.003
Rokhamah, R., Yana, P. R., Hernadi, N. A., Rachmawati, F., Irwanto, I., Dey, N. P. H., Purwanti, E. W., Noviana, R., Bawono, Y., Rianto, R., Masruha, M., Kosasih, K., Mola, M. S. R., Djumaty, B. L., & Putra, G. K. (2024). Metode Penelitian Kualitatif: Teori, Metode dan Praktik. Bandung, Indonesia: Widina Media Utama.
Smith, J. A. (2019). Participants and researchers searching for meaning: Conceptual developments for interpretative phenomenological analysis. Qualitative Research in Psychology, 16(2), 166–181.
https://doi.org/10.1080/14780887.2018.1540648
Spreitzenbarth, J. M., Bode, C., & Stuckenschmidt, H. (2024). Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice. Journal of Purchasing and Supply Management, 30(1), 100896.
https://doi.org/10.1016/j.pursup.2024.100896
Yan, J., Yang, J., Yin, C., & Hu, W. (2024). Adaptive models of digital government governance in smart shared services. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.01032
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