System Quality Evaluation and Technology Acceptance of an Occupational Health and Safety Incident Reporting Application at a University in Bangkok Metropoli
Article Sidebar
Main Article Content
Abstract
This study aims to (1) evaluate the quality of a digital application for reporting and monitoring occupational health and safety (OHS) incidents in a university environment, (2) examine users’ level of technology acceptance, and (3) analyze the relationships among system quality, perceived usefulness, perceived ease of use, technology acceptance, and organizational impact. The study integrates the DeLone and McLean Information Systems Success Model with the Technology Acceptance Model (TAM) to develop a comprehensive framework for evaluating digital safety management systems in higher education institutions. This research employed a quantitative approach. Data were collected from students, faculty members, and university staff who utilized the safety reporting application. The sample size consisted of 300 participants. A structured questionnaire was used as the research instrument. Descriptive statistics, including mean and standard deviation, were used to describe the data, while Pearson’s correlation analysis was conducted to examine the relationships among the study variables. The findings indicate that users perceived system quality, perceived usefulness, perceived ease of use, and technology acceptance at a high level. The correlation analysis revealed that system quality was positively and significantly related to both perceived usefulness and perceived ease of use. Furthermore, perceived usefulness and perceived ease of use were positively associated with technology acceptance, while technology acceptance showed a positive relationship with organizational impact. The results suggest that improving system quality and designing user-friendly digital applications are critical factors for enhancing technology acceptance among users. Effective implementation of such systems can strengthen occupational health and safety management in higher education institutions and support more efficient organizational decision-making processes.
Article Details
References
โยธิน พลประถม, และ คณกร สวางเจริญ. (2568). แอปพลิเคชันสำหรับรายงานและตรวจติดตามปัญหาด้านอาชีวอนามัยและความปลอดภัยภายในสถาบันการศึกษา [ภาพหน้าจอจากแอปพลิเคชันที่พัฒนาโดยใช้ Microsoft Power Apps]. ระบบภายในองค์กร.
Abdullah Al Rahmi et al. (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
Adeyemi, I. O., & Issa, A. O. (2020). Integrating Information System Success Model (ISSM) and Technology Acceptance Model (TAM): Proposing students' satisfaction with university web portal model. Record and Library Journal, 6(1), 69–79. https://doi.org/10.20473/rlj.V6-I1.2020.69-79
Akyıldız, C. (2023). Integration of digitalization into occupational health and safety and its applicability: A literature review. European Research Journal, 9(6), 1509–1519. https://doi.org/10.18621/eurj.1352743
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in M-learning context: A systematic review. Computers & Education, 125, 389–412. https://doi.org/10.1016/j.compedu.2018.06.008
Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., & Aljeraiwi, A. A. (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
Al-Rahmi, W. M., Alias, N., Othman, M. S., Marin, V. I., & Tur, G. (2018). A model of factors affecting learning performance through the use of social media in Malaysian higher education. Computers & Education, 121, 59–72. https://doi.org/10.1016/j.compedu.2018.02.010
Boonruksa, P., Nontapa, S., & Theppitak, C. (2024). Occupational health and safety digitalization in Thailand: A framework and case study. Journal of UOEH, 46(1), 93–101. https://doi.org/10.7888/juoeh.46.93
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of
Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dengler, K., Hiesinger, K., & Tisch, A. (2022). Digital transformation: The role of computer use in employee health. Economics & Human Biology, 46, 101137. https://doi.org/10.1016/j.ehb.2022.101137
Dinesh T. Naidoo (2023). Integrating TAM and IS success model: Exploring the role of blockchain and AI in predicting learner engagement and performance in e-learning. Frontiers in Computer Science, 5, 1227749. https://doi.org/10.3389/fcomp.2023.1227749
Dodoo, J. E., Al-Samarraie, H., Alzahrani, A. I., Lonsdale, M., & Alalwan, N. (2024). Digital innovations for occupational safety: Empowering workers in hazardous environments. Workplace Health & Safety, 72(3), 84–95. https://doi.org/10.1177/21650799231215811
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Fred D. Davis (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Håkansta, C., Asp, A., & Palm, K. (2025). Effects of work-related digital technology on occupational health in the public sector: A scoping review. Work. https://doi.org/10.1177/10519815251320274
Ibrahim O. Adeyemi & A. O. Issa (2020). Integrating Information System Success Model (ISSM) and Technology Acceptance Model (TAM): Proposing students' satisfaction with university web portal model. Record and Library Journal, 6(1), 69–79. https://doi.org/10.20473/rlj.V6-I1.2020.69-
Legramante, D., Azevedo, A., & Azevedo, J. M. (2023). Integration of the technology acceptance model and the information systems success model in the analysis of Moodle's satisfaction and continuity of use. International Journal of Information and Learning Technology, 40(5), 467–484. https://doi.org/10.1108/IJILT-12-2022-0231
Naidoo, D. T. (2023). Integrating TAM and IS success model: Exploring the role of blockchain and AI in predicting learner engagement and
performance in e-learning. Frontiers in Computer Science, 5, 1227749. https://doi.org/10.3389/fcomp.2023.1227749
Ojo, A. I. (2017). Validation of the DeLone and McLean Information Systems Success Model. Healthcare Informatics Research, 23(1), 60–66. https://doi.org/10.4258/hir.2017.23.1.60
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships.
European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15
Rokhman, A., Hadiwidjojo, D., & Noermijati, N. (2022). Information system success model in public sector organizations. International Journal of Public Sector Management, 35(2), 237–252. https://doi.org/10.1108/IJPSM-06-2021-0151
Rokhman, F., Mukhibad, H., Hapsoro, B. B., & Nurkhin, A. (2022). E-learning evaluation during the COVID-19 pandemic era based on the updated DeLone and McLean information systems success model. Cogent Education. https://doi.org/10.1080/2331186X.2022.2093490
Rulinawaty, R., Hidayat, R., & Wibowo, A. (2024). Evaluating information system success in digital public services. Government Information Quarterly, 41(1), 101867. https://doi.org/10.1016/j.giq.2023.101867
Rulinawatya, R., et al. (2024). Investigating the influence of the updated DeLone and McLean information system success model on the effectiveness of learning management system implementation. Cogent Education. https://doi.org/10.1080/2331186X.2024.2365611
Sabeh, H. M., Al-Adwan, A. S., & Al-Adwan, A. (2021). The impact of information systems on organizational performance. International Journal of Data
and Network Science, 5(2), 151–162. https://doi.org/10.5267/j.ijdns.2021.2.002
Sabeh, H. N., Husin, M. H., Kee, D. M. H., Baharudin, A. S., & Abdullah, R. (2021). A systematic review of the DeLone and McLean model of information systems success in an e-learning context (2010–2020). IEEE Access. https://doi.org/10.1109/ACCESS.2021.3084815
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253. https://doi.org/10.1287/isre.8.3.240
Tarhini, A., Hone, K., & Liu, X. (2017). Measuring the moderating effect of gender and age on e-learning acceptance in developing countries.
Computers in Human Behavior, 35, 238–249. https://doi.org/10.1016/j.chb.2014.02.012
Urbach, N., & Müller, B. (2012). The updated DeLone and McLean model of information systems success. In Y. K. Dwivedi et al. (Eds.), Information systems theory (pp. 1–18). Springer. https://doi.org/10.1007/978-1-4419-6108-2_1
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. https://doi.org/10.2307/30036540
Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, & Fred D. Davis(2003).
User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wahyuningsih, S. S., Sumerli, C. H., Rahayu, N., Nuryanto, U. W., & Ramadhani, B. (2024). Application of Technology Acceptance Model and DeLone and McLean IS Success Model to measure information system design for academic activities in higher education institution. Jurnal Informasi dan Teknologi, 6(1), 43–49. https://doi.org/10.60083/jidt.v6i1.470
Weyant, E. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.), by John W. Creswell and J. David Creswell. Journal of Electronic Resources in Medical Libraries, 19(1–2), 54–55. https://doi.org/10.1080/15424065.2022.2046231
William H. DeLone & Ephraim R. McLean (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of
Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/10.1287/isre.1050.0042
