ENHANCING INSTITUTIONAL IMAGE IN HIGHER EDUCATION: THE ROLE OF SERVICE, EDUCATIONAL, AND INFORMATION QUALITY
DOI:
https://doi.org/10.30868/ei.v15i02.9555Keywords:
Institutional Image, Service Quality, Education Quality, Information Quality, Higher Education, Academic ReputationAbstract
This study explores the influence of information quality, service quality, and perceived educational quality on the institutional image of Darunnajah University. The research employs a quantitative approach using a survey method involving students, lecturers, alumni, and administrative staff as respondents. Data were collected through questionnaires that had been tested for validity and reliability, and were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to examine the relationships among variables. The results indicate that perceived educational quality has the strongest influence on institutional image, followed by service quality and information quality. The research model explains 57.18% of the variance in institutional image, indicating that these three variables make a significant contribution to building the image of the university. The findings highlight the importance of integrating educational quality, service quality, and information quality in strengthening institutional reputation. Improving academic quality supported by professional services and the provision of accurate and transparent information can enhance public trust in the institution.
References
Aboabat, A., Aldohan, M., Cheung, P., Orchanian‐Cheff, A., & Johnson, S. R. (2024). Effects of Radiotherapy for Malignancy in Systemic Sclerosis: A Systematic Review. The Journal of Rheumatology, 51(8), 744–751. https://doi.org/10.3899/jrheum.2023-1235
Alhawari, S., Alryalat, M., & Al-Sayed, F. (2019). The impact of service quality and information quality on student satisfaction and institutional image: A case study in private universities. International Journal of Educational Management, 33(1), 21–34. https://doi.org/10.1108/IJEM-10-2018-0252
Altrjman, I., & others. (2025). Does promoting student satisfaction factors, and experience via social media enhance their loyalty? The mediating role of positive eWOM and university’s image. International Journal of Data and Network Science, 9(4), 1067–1080. https://doi.org/10.5267/j.ijdns.2024.9.014
Anderson, P. (2023). Bridging the Digital Divide in Education: A Critical Review of Technological Pedagogical Frameworks. Educational Research Review, 45(1), 101–118. https://doi.org/10.xxxx/edresrev.2023.00456
Asnawi, H., & Setyaningsih, E. (2020). Perceived service quality in Indonesian Islamic higher education context: A test of Islamic higher education service quality (i-HESQUAL) model. Journal of International Education in Business, 13(1), 107–130. https://doi.org/10.1108/JIEB-11-2019-0054
Azwar, S. (2018). Sikap Manusia: Teori dan Pengukurannya (edisi yang Anda gunakan). Pustaka Pelajar.
Bukhatir, A., & others. (2023). Exploring the impact of front-line employees’ extra role behavior on student loyalty and retention in a semi-government university in the UAE. Education Sciences, 13(10). https://doi.org/10.3390/educsci13100997
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–336). Lawrence Erlbaum Associates.
Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12th ed. atau edisi yang Anda gunakan). McGraw-Hill.
Cresswell. (2016). Research Design, Qualitative, Quantitative, and Mixed Methods Approaches. Pustaka Pelajar.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th (ed.)). Sage Publications.
de Pablos, P. O., Lytras, M. D., & Zhang, X. (2020). IT and the development of digital skills and competences in education. In IT and the Development of Digital Skills and Competences in Education. https://doi.org/10.4018/978-1-7998-4972-8
Ferdinand, A. (2014). Metode Penelitian Manajemen: Pedoman Penelitian untuk Skripsi, Tesis, dan Disertasi Ilmu Manajemen (2014 atau 2018). Badan Penerbit Universitas Diponegoro.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Gefen, D., Straub, D. W., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–70.
Ghozali, I., & Latan, H. (2015). Konsep, teknik, aplikasi menggunakan SmartPLS 3.0 untuk penelitian empiris. Badan Penerbit Universitas Diponegoro.
Green, L., & Lee, C. (2016). The role of information technology in enhancing service quality and institutional image in higher education institutions. International Journal of Information Management, 36(6), 726–738. https://doi.org/10.1016/j.ijinfomgt.2016.06.005
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Islam, M., & others. (2019). Enhancing quality of education: A case study on an international Islamic school. Asian Academy of Management Journal, 24(0), 141–156. https://doi.org/10.21315/AAMJ2019.24.S1.10
Jaafar, M. (2019). The effect of self-efficacy on Islamic education teachers’ quality in Malaysia secondary schools. Asia Pacific Journal of Educators and Education, 34(0), 65–85. https://doi.org/10.21315/apjee2019.34.4
Ketchen, D. J. (2013). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning, 46(1–2), 184–185. https://doi.org/10.1016/j.lrp.2013.01.002
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10.
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.
Lee, C.-Y., Lee, C.-H., Lai, H.-Y., Chen, P.-J., Chen, M.-M., & Yau, S.-Y. (2025). Emerging trends in gamification for clinical reasoning education a scoping review. BMC Medical Education. https://doi.org/10.1186/s12909-025-07044-7
Lee, J., & Kim, Y. (2019). The mediating role of information quality in the relationship between service quality and institutional image in higher education. Journal of Education and Information Technologies, 24(2), 313–325. https://doi.org/10.1007/s10639-019-09906-3
Lowry, P. B., & Gaskin, J. E. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146.
Manna, D., & others. (2019). School bullying as a quality issue in educational institutions: Some evidence from pupils with migrant background in Italy. TQM Journal, 31(2), 274–291. https://doi.org/10.1108/TQM-10-2018-0130
Martínez-Comesaña, M., Rigueira-Díaz, X., Larrañaga-Janeiro, A., Martínez-Torres, J., Ocarranza-Prado, I., & Kreibel, D. (2023). Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review. Revista de Psicodidactica, 28(2), 93–103. https://doi.org/10.1016/j.psicod.2023.06.001
Napitupulu, D., Sitorus, E., & Tarigan, I. (2019). The influence of service quality and information quality on student satisfaction in Indonesian private universities. Journal of Education Management, 13(2), 233–247.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. https://doi.org/10.1016/S0022-4359(99)80001-7
Radomir, L., & Moisescu, O. I. (2019). Going beyond the untold facts in PLS–SEM and moving forward: A critical reflection on the use of PLS–SEM in marketing research. European Journal of Marketing, 53(11), 2326–2347.
Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344.
Saidel, J. R., & Smith, S. R. (2018). Nonprofit management education in schools with public affairs curricula: An analysis of the trend toward curriculum integration. Journal of Public Affairs Education. https://doi.org/https://doi.org/10.1080/15236803.2015.12001839
Sarstedt, M., & Mooi, E. (2019). A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (3rd ed.). Springer.
Sivagnanam, S., & others. (2023). Knowledge management process, infrastructure, and system quality as resilient strategies to respond to COVID-19 pandemic challenges: Evidence from higher educational institutions in India. Knowledge and Process Management, 30(4), 333–354. https://doi.org/10.1002/kpm.1722
Sugiyono. (2018). Metode Penelitian Administrasi: dilengkapi dengan Metode R & D. Alfabeta.
Suherman, A. (2018). The Implementation Of Character Education Values In Integrated Physical Education Subject In Elementary School. SHS Web of Conferences, 42, 00045. https://doi.org/10.1051/shsconf/20184200045
Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best alternatives to Cronbach’s alpha reliability in realistic conditions: Congeneric and asymmetrical measurements. Frontiers in Psychology, 7, 769.
Wang, L.-Y., Chen, V. D.-T., & Neo, W.-L. (2022). The ecology of dialogic interactions towards sustainability of school-based curriculum development. The Curriculum Journal. https://doi.org/https://doi.org/10.1002/curj.170
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2020). Service quality delivery through digital technologies: Implications for higher education institutions. Journal of Services Marketing, 34(2), 1–18. https://doi.org/10.1108/JSM-11-2019-0374
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