Analyzing the Impact of Information Systems Digitalization on Organizational Performance through the Technology Acceptance Model (TAM)

Novian Paisal Sitompul; Bay Haqki; Baginda Harahap; Solianna Harahap; Erwin Panggabean

Penulis

Novian Paisal Sitompul Universitas Battuta Penulis
Bay Haqki Universitas Battuta Penulis
Baginda Harahap Universitas Battuta Penulis
Solianna Harahap Universitas Battuta Penulis
Erwin Panggabean STMIK Pelita Nusantara Medan Penulis

Kata Kunci:

Information Systems Digitalization, Technology Acceptance Model (TAM), Organizational Performance, User Acceptance, Digital Transformation

Abstrak

The digitalization of information systems has become a key strategy for organizations seeking to improve operational efficiency, decision-making quality, and overall organizational performance. However, the successful implementation of digital technologies depends largely on users’ acceptance and willingness to adopt such systems. This study aims to analyze the impact of information systems digitalization on organizational performance using the Technology Acceptance Model (TAM). The research examines the relationships between perceived usefulness, perceived ease of use, user acceptance, and organizational performance. A quantitative research approach was employed by collecting data through structured questionnaires distributed to employees who actively use digital information systems within their organizations. The collected data were analyzed using Structural Equation Modeling (SEM) to evaluate the proposed research model and test the hypotheses. The findings indicate that perceived usefulness and perceived ease of use significantly influence user acceptance, which subsequently contributes to improved organizational performance. These results highlight the importance of designing user-friendly and beneficial digital information systems to maximize organizational outcomes. The study provides valuable insights for organizations in developing effective digital transformation strategies and enhancing sustainable organizational performance through technology adoption.

Referensi

Egodawele, M., Sedera, D., & Bui, V. (2022). A systematic review of digital transformation literature (2013–2021) and the development of an overarching a priori model to guide future research.

Vial, G. (2021). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 30(2).

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901.

Ciampi, F., Faraoni, M., Ballerini, J., & Meli, F. (2022). The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives. Technological Forecasting and Social Change, 176, 121383.

Tsou, H. T., & Chen, J. S. (2023). How does digital technology usage benefit firm performance? Digital transformation strategy and organisational innovation as mediators. Technology Analysis & Strategic Management, 35(9), 1114–1127. https://doi.org/10.1080/09537325.2021.1991575

Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., & Jensen, T. B. (2021). Unpacking the difference between digital transformation and IT-enabled organizational transformation. Journal of the Association for Information Systems, 22(1), 102–129.

Imran, F., Shahzad, K., Butt, A., & Kantola, J. (2021). Digital transformation of industrial organizations: Toward an integrated framework. Journal of Change Management, 21(4), 451–479. https://doi.org/10.1080/14697017.2021.1929406

Andriani, L., Kesumah, F. S. D., & Huzaimah, R. A. F. (2025). Impact and acceptance of digitalization in the Indonesian workplace. Indonesian Journal of Islamic Economics and Finance, 5(1).

Azeroual, O., Schöpfel, J., & Saake, G. (2021). Implementation and user acceptance of research information systems. The Electronic Library, 39(6), 1113–1132.

Ardiana, G. A., & Setyowati, M. S. (2026). Information systems success and user acceptance in digital tax transformation: A systematic literature review. INSERT: Information System and Emerging Technology Journal, 7(1).

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., Aljeraiwi, A. A., & Al-Rahmi, W. M. (2021). The influence of information system success and Technology Acceptance Model on social media factors in education. Sustainability, 13(14), 7770. https://doi.org/10.3390/su13147770

Kang, Y., Choi, N., & Kim, S. (2021). Searching for new model of digital informatics for human–computer interaction: Testing the Institution-Based Technology Acceptance Model (ITAM). International Journal of Environmental Research and Public Health, 18(11), 5593. https://doi.org/10.3390/ijerph18115593

Larasati, Z., Yoda, I. A., & Wahyuningtyas, R. (2023). Acceptance of e-performance systems using the Technology Acceptance Model (TAM) approach in an outsourcing company. Jurnal Ekonomi.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376.

Noerman, T., Erlando, A., & Riyanto, F. D. (2022). Factors determining intention to continue using E-HRM. International Journal of Organizational Analysis.

Sani, M. K. J. A., Zaini, M. K., Sahid, N. Z., Shaifuddin, N., Salim, T. A., & Noor, N. M. (2022). Factors influencing intent to adopt big data analytics in Malaysian government agencies. Information Development.

Jonathan, R., & Abdillah, W. (2022). Partial Least Squares (PLS): Structural Equation Modeling for Business Research (Updated ed.). Andi Publisher.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.