Evaluating User Satisfaction, Perceived Efficiency and Engagement of University Website for Faculty, Staff, and Students of Bangladeshi Universities

Angela Sajjan, Rebaka Khanam, Md Hossain Mahtab, & Nazmus Sakib. (2024). Evaluating User Satisfaction, Perceived Efficiency and Engagement of University Website for Faculty, Staff, and Students of Bangladeshi Universities. Journal Of Creative Writing (ISSN-2410-6259), 8(3), 23–39. https://doi.org/10.70771/jocw.129

Abstract

This study focuses on the relationship between user satisfaction, efficiency, and engagement with university websites, as well as the impact of age differences on these factors. Using a quantitative approach, data were collected from 220 users across three age groups (18–25, 26–30, and 31–60) and analyzed through regression and ANOVA. The findings reveal that user satisfaction and efficiency significantly influence engagement, explaining 67.2% of the variance. ANOVA results show notable differences in satisfaction, efficiency, and engagement across age groups. Older users (31–60) reported higher levels of satisfaction, efficiency, and engagement compared to younger users. These findings highlight the importance of user-centered website design that caters to diverse user needs. Prioritizing efficiency, usability, and satisfaction can enhance user engagement. This study underscores the critical role of satisfaction and efficiency in driving engagement with university websites. Future research should explore factors like cultural differences and technological advancements to further improve website design strategies.

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References

Abbasi, G. A., Sandran, T., Ganesan, Y., & Iranmanesh, M. (2022). Go cashless! Determinants of continuance intention to use E-wallet apps: A hybrid approach using PLS-SEM and fsQCA. Technology in Society, 68, 101937. https://doi.org/https://doi.org/10.1016/j.techsoc.2022.101937

Ali, F., Terrah, A., Wu, C., Ali, L., & Wu, H. (2021). Antecedents and consequences of user engagement in smartphone travel apps. Journal of Hospitality and Tourism Technology, 12(2), 355–371. https://doi.org/10.1108/JHTT-09-2020-0221

Ali, M., Raza, S. A., Qazi, W., & Puah, C. H. (2018). Assessing e-learning system in higher education institutes: Evidence from structural equation modelling. Interactive Technology and Smart Education, 15(1), 59–78. https://doi.org/10.1108/ITSE-02-2017-0012

Bailey, J. E., & Pearson, S. W. (1983). Development of a Tool for Measuring and Analyzing Computer User Satisfaction. Management Science, 29, 530–545. https://api.semanticscholar.org/CorpusID:195703234

Cheung, M. F. Y., & To, W. M. (2021). Effect of customer involvement on co-creation of services: A moderated mediation model. Journal of Retailing and Consumer Services, 63, 102660. https://doi.org/10.1016/j.jretconser.2021.102660

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. 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

Hsu, L. (2023). What makes good LMOOCs for EFL learners? Learners’ personal characteristics and Information System Success Model. Computer Assisted Language Learning, 36(1–2), 1–25. https://doi.org/10.1080/09588221.2021.1899243

Kettinger, W., Park, S.-H., & Smith, J. (2009). Understanding the consequences of information systems service quality on IS service reuse. Information & Management, 46, 335–341. https://doi.org/10.1016/j.im.2009.03.004

Khand, Z. H., & Kalhoro, M. R. (2020). Testing and Validating DeLone and MacLean IS Model: ERP System Success in Higher Education Institutions of Pakistan. Engineering, Technology & Applied Science Research, 10(5), 6242–6248. https://doi.org/10.48084/ETASR.3762

Lee, S., Shin, B., & Lee, H. G. (2009). Understanding Post-adoption Usage of Mobile Data Services: The Role of Supplier-side Variables. Journal of the Association for Information Systems, 10(12), 2. https://doi.org/10.17705/1jais.00217

Liu, Y., Li, Q., Edu, T., & Negricea, I. C. (2020). Exploring the Continuance Usage Intention of Travel Applications in the Case of Chinese Tourists. Journal of Hospitality & Tourism Research, 47(1), 6–32. https://doi.org/10.1177/1096348020962553

Meade, L. M., & Sarkis, J. (1999). Analyzing organizational project alternatives for agile manufacturing processes: An analytical network approach. International Journal of Production Research, 37(2), 241–261. https://doi.org/10.1080/002075499191751

Myers, James H and Shocker, A. D. (1981). The nature of product-related attributes. Research in Marketing, 5(5), 211–236.

Nguyen, T. D., Nguyen, T. M., & Cao, T. H. (2015). Future data and security engineering: Second international conference, FDSE 2015 Ho Chi Minh City, Vietnam, November 23–25, 2015 proceedings. Lecture Notes in Computer Science, 9446, 242–256. https://doi.org/10.1007/978-3-319-26135-5

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

Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173–187. https://doi.org/10.2307/249687

Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47(2), 222–244. https://doi.org/10.1016/j.compedu.2004.10.007

Quinn, A., Lemay, G., Larsen, P., & Johnson, D. (2009). Service quality in higher education. Total Quality Management & Business Excellence, 20, 139–152. https://doi.org/10.1080/14783360802622805

Ramayah, T., & Lee, J. (2012). System characteristics, satisfaction and e-learning usage: A structural equation model (SEM). Turkish Online Journal of Educational Technology, 11, 196–206.

Sagandira, C., & Berg, K. (2020). User Interface design in e-commerce and it impacts on consumer trust. https://doi.org/10.13140/RG.2.2.31943.32164

Seddon, P., & Kiew, M.-Y. (1996). A Partial Test and Development of Delone and Mclean’s Model of IS Success. Australasian Journal of Information Systems, 4(1 SE-Research Articles). https://doi.org/10.3127/ajis.v4i1.379

Trivedi, J. P., & Trivedi, H. (2018). Investigating the Factors That Make a Fashion App Successful: The Moderating Role of Personalization. Journal of Internet Commerce, 17(2), 170–187. https://doi.org/10.1080/15332861.2018.1433908

Turban, E., Aronson, J. E., & Liang, T.-P. (2007). DECISION SUPPORT SYSTEMS AND INTELLIGENT SYSTEMS. In Prentice-Hall Of India Private Ltd. https://doi.org/10.1089/dia.2022.2504

Urbach, N., & Müller, B. (2012). Informations Systems Theory: Vol.2. Springer, 28(May), 461. https://doi.org/10.1007/978-1-4419-6108-2

Wan Roslina, W. M. A., Zainon, M. A., & Nurhasyima, M. A. (2022). Evaluating library information system success: Applying the DeLone and McLean model. International Journal of Integrated Engineering, 14(3), 175-183. https://doi.org/10.30880/ijie.2022.14.03.020

Wang, F., Ding, L., Yu, H., & Zhao, Y. (2020). Big data analytics on enterprise credit risk evaluation of e-Business platform. Information Systems and E-Business Management, 18(3), 311–350. https://doi.org/10.1007/s10257-019-00414-x

Won, D., Chiu, W., & Byun, H. (2023). Factors influencing consumer use of a sport-branded app: the technology acceptance model integrating app quality and perceived enjoyment. Asia Pacific Journal of Marketing and Logistics, 35(5), 1112–1133. https://doi.org/10.1108/APJML-09-2021-0709/full/xml