Factor analysis of enterprise resource planning applications at PT. Hanampi Sejahtera Kahuripan

Published: Mar 5, 2025

Abstract:

Purpose: This study aims to solve the problems of ERP technology acceptance in PT. Hanampi Sejahtera Kahuripan (PT.HSK) and help employees adapt to using new technology.

Method: The contribution of this research is to consider the problem using a factor analysis method based on the TAM and TIB models. In this research, the author took a quantitative approach through a survey involving 137 PT. HSK employees.

Results: After being analyzed using Confirmatory Factor Analysis (CFA), six factors were produced that influence the implementation of ERP information systems at PT. HSK. These factors are the Convenience Factor (factor 1), effectiveness factor (factor 2), behavior factor (factor 3), understanding factor (factor 4), performance factor (factor 5), and importance factor (factor 6). The research results show that six new factors were discovered, and the convenience factor emerged as the most influential in the acceptance of ERP technology at PT. HSK.

Contribution: PT. HSK must pay attention to the convenience factor in the implementation and development of the ERP system so that employees can feel that using the ERP system can make their work faster and easier.

Limitations: There are several limitations in this research, including the number of respondents and the research object that only focuses on PT. HSK, and the information provided by respondents through the questionnaires sometimes does not show their “true opinions.”

Keywords:
1. Digital Transformation
2. ERP
3. TAM
4. TIB
5. Confirmatory Factor Analysis
Authors:
1 . Panca Pratama Iskandar
2 . Ratri Wahyuningtyas
How to Cite
Iskandar, P. P., & Ratri Wahyuningtyas. (2025). Factor analysis of enterprise resource planning applications at PT. Hanampi Sejahtera Kahuripan. International Journal of Financial, Accounting, and Management, 6(3), 413–430. https://doi.org/10.35912/ijfam.v6i3.2334

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References

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    Seneviratne, S. C., & Colombage, L. (2023). The impact of User-Characteristics and Organizational-Characteristics on End-user Satisfaction with Enterprise Resource Planning (ERP) systems. International Journal of Financial, Accounting, and Management, 5(1), 75-95. https://doi.org/10.35912/ijfam.v5i1.1295.

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    Sung, K., Cooper, T., & Kettley, S. (2019). Factors influencing upcycling for UK makers. Sustainability, 11(3), 870. https://doi.org/10.3390/su11030870.

    Supranto, J. (2010). Analisis multivariat: arti & interpretasi.

    Surendran, P. (2012). Technology acceptance model: A survey of literature. International journal of business and social research, 2(4), 175-178.

    Sutopo, E. Y., & Slamet, A. (2017). Statistik inferensial: Penerbit Andi.

    Triandis, H. C. (1977). Cross-cultural social and personality psychology. Personality and Social Psychology Bulletin, 3(2), 143-158. https://doi.org/10.1177/014616727700300202.

    Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long range planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001.

    Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian journal of paramedicine, 8, 1-13. https://doi.org/10.33151/ajp.8.3.93.

    Zhang, X. (2022). Analysis on influencing factors of art application behavior of comprehensive materials among art undergraduates in Chengdu Colleges. AU-GSB e-JOURNAL, 15(2), 139-149. https://doi.org/10.14456/augsbejr.2022.79.

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  2. Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261. https://doi.org/10.1037/h0076477.
  3. Akter, S. (2021). Companies’ vision, mission, and core values focus on human resource management. International Journal of Financial, Accounting, and Management, 2(4), 343-355. https://doi.org/10.35912/ijfam.v2i4.412.
  4. Amegayibor, G. K. (2021). The effect of demographic factors on employees’ performance: A case of an owner-manager manufacturing firm. Annals of Human Resource Management Research, 1(2), 127-143. https://doi.org/10.35912/ahrmr.v1i2.853.
  5. Basri, H., & Umar, H. (2021). The Influence of Competence, Independence, and Audit Risks on the Auditor’s Ability to Detect Corruption with Integrity as a Moderating Variable. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol, 4(3), 3602-3614. 10.30996/jmm17.v10i1.8496.
  6. Chuttur, M. (2009). Overview of the technology acceptance model: Origins, developments and future directions. All Sprouts Content, 9(37).
  7. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008.
  8. Dessler, G., & Varrkey, B. (2005). Human Resource Management, 15e: Pearson Education India.
  9. Fauzi, F., & Siregar, M. H. (2019). Pengaruh Kompetensi dan Kinerja Karyawan terhadap Pengembangan Karir di Perusahaan Konstruksi. Journal of Entrepreneurship, Management and Industry (JEMI), 2(1), 9-21.
  10. Gultom, D. F., Wati, W., & Sinaga, J. (2019). Pengaruh Kompetensi Dan Pelatihan Terhadap Kinerja Karyawan Pada PT. Perkebunan Nusantara II (Tanjung Morawa Medan) Produksi Kelapa Sawit. Jurnal Manajemen, 5(1), 27-34.
  11. Heavin, C., & Power, D. J. (2018). Challenges for digital transformation–towards a conceptual decision support guide for managers. Journal of Decision Systems, 27(sup1), 38-45. https://doi.org/10.1080/12460125.2018.1468697
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  13. Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital transformation: An overview of the current state of the art of research. Sage Open, 11(3), 21582440211047576.
  14. Marakas, G. M., & O'Brien, J. A. (2013). Introduction to information systems: McGraw-Hill/Irwin New York.
  15. Maulana, R., Heryana, N., & Voutama, A. (2022). Implementasi sistem ERP (Enterprise Resource Planning) menggunakan odoo versi 14 (studi pada proses pengadaan barang di PT RM). INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS: Journal of Information System, 7(1), 83-96. https://doi.org/10.51211/isbi.v7i1.1938.
  16. Moody, G. D., & Siponen, M. (2013). Using the theory of interpersonal behavior to explain non-work-related personal use of the Internet at work. Information & management, 50(6), 322-335. https://doi.org/10.1016/j.im.2013.04.005.
  17. Morawi, M. Y. (2022). Implementasi System Application And Product In Data Processing (Sap) Dalam Menunjang Proses Penagihan Pembayaran Invoice Pada Pt Yokogawa Indonesia.
  18. Otonne, A., & Ige, O. T. (2023). Exploring the influence of financial technology on banking services in Nigeria. International Journal of Financial, Accounting, and Management, 5(3), 323-341. https://doi.org/10.35912/ijfam.v5i3.1513.
  19. Parviainen, P., Tihinen, M., Kääriäinen, J., & Teppola, S. (2017). Tackling the digitalization challenge: how to benefit from digitalization in practice. International journal of information systems and project management, 5(1), 63-77.
  20. Rahmat, S. N., & Basalamah, J. (2019). Pengaruh Kompetensi, Kompensasi Dan Disiplin Kerja Terhadap Kinerja Pegawai Badan Pendapatan Daerah Kota Makassar. PARADOKS: Jurnal Ilmu Ekonomi, 2(1), 121-132. 0.33096/paradoks.v2i1.119.
  21. Rektenwald, S. M. (2022). The Acceptance of Learning Management Systems by Higher Education Faculty in an Educational Landscape Influenced by a Global Pandemic.
  22. Santoso, S. (2006). Seri solusi bisnis berbasis TI: Menggunakan SPSS untuk statistik multivariat: Elex Media Komputindo.
  23. Saputra, H. (2022). Implementation Of Regional Plan Information System In The Regional Development Planning Agency Of Rokan Hilir Regency. International Journal of Social Science and Economic Research.
  24. Seneviratne, S. C., & Colombage, L. (2023). The impact of User-Characteristics and Organizational-Characteristics on End-user Satisfaction with Enterprise Resource Planning (ERP) systems. International Journal of Financial, Accounting, and Management, 5(1), 75-95. https://doi.org/10.35912/ijfam.v5i1.1295.
  25. Soetrisno, E. (2016). Manajemen sumber daya manusia: Kencana.
  26. Sung, K., Cooper, T., & Kettley, S. (2019). Factors influencing upcycling for UK makers. Sustainability, 11(3), 870. https://doi.org/10.3390/su11030870.
  27. Supranto, J. (2010). Analisis multivariat: arti & interpretasi.
  28. Surendran, P. (2012). Technology acceptance model: A survey of literature. International journal of business and social research, 2(4), 175-178.
  29. Sutopo, E. Y., & Slamet, A. (2017). Statistik inferensial: Penerbit Andi.
  30. Triandis, H. C. (1977). Cross-cultural social and personality psychology. Personality and Social Psychology Bulletin, 3(2), 143-158. https://doi.org/10.1177/014616727700300202.
  31. Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long range planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001.
  32. Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian journal of paramedicine, 8, 1-13. https://doi.org/10.33151/ajp.8.3.93.
  33. Zhang, X. (2022). Analysis on influencing factors of art application behavior of comprehensive materials among art undergraduates in Chengdu Colleges. AU-GSB e-JOURNAL, 15(2), 139-149. https://doi.org/10.14456/augsbejr.2022.79.