Digital service quality and the public value of the digital platform of a public university in Lima, Peru, 2024

Authors

DOI:

https://doi.org/10.56926/unaaaciencia.v4i2.132

Keywords:

Digital service quality, public value, digital platform, university

Abstract

The main objective of this research was to determine how the quality of digital service relates to the public value of the digital platform of a public university in Lima, Peru, 2024. The research methodology was quantitative, applied, correlational, non-experimental, and cross-sectional. The sample consisted of 381 students, the data collection technique was a survey, and the instrument was a Likert-scale questionnaire that was distributed virtually. At a descriptive level, the results indicated that the general perception of the quality of digital service and the Public Value of the platform was mostly at a Moderate level with 59.84% and 52.76% respectively, which suggested that, although the platform functioned adequately, there was significant room for optimization. At an inferential level, a Spearman's Rho correlation coefficient of 0.623 and a p-value of 0.000 were determined. Therefore, it was concluded that online service quality and public value are positively related, with moderate intensity and significance, implying that digitalization is a strategic element in modern public management.

Downloads

Download data is not yet available.

References

Adubaa, D., & Mayowa Adebara, O. (2022). Online Platforms Used for Teaching and Learning during the COVID-19 Era: The Case of LIS Students in Delta State University, Abraka. The International Information & Library Review 54 (1), 17-31. doi:https://doi.org/10.1080/10572317.2020.1869903 DOI: https://doi.org/10.1080/10572317.2020.1869903

Aljukhadar, M., Belisle, J., Dantas, D., Sénécal, S., & Titah, R. (2022). Measuring the service quality of governmental sites: Development and validation of the e-Government service quality (EGSQUAL) scale. Electronic Commerce Research and Applications Vol 55, 101182. doi: https://doi.org/10.1016/j.elerap.2022.101182 DOI: https://doi.org/10.1016/j.elerap.2022.101182

Alruwaie, M., El-Haddadeh, R., & Weerakkody, V. (2020). Citizens' continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction. Government Information Quarterly 37 (3), 101485. doi: https://doi.org/10.1016/j.giq.2020.101485 DOI: https://doi.org/10.1016/j.giq.2020.101485

Alshammary, F., & Alhalafawy, W. (2023). Digital Platforms and the Improvement of Learning Outcomes: Evidence Extracted from Meta-Analysis. Sustainability 15 (2), 1305. doi: https://doi.org/10.3390/su15021305 DOI: https://doi.org/10.3390/su15021305

Benmohamed, N., Shen, J., & Vlahu-Gjorgievska, E. (2024). Public value creation through the use of open government data in Australian public sector: A quantitative study from employees' perspective. Government Information Quarterly 41 (2), 101930. doi: https://doi.org/10.1016/j.giq.2024.101930 DOI: https://doi.org/10.1016/j.giq.2024.101930

Chan, F., Thong, J., Brown, S., & Venkatesh, V. (2025). Design characteristics and service experience with e-government services: A public value perspective. International Journal of Information Management 80, 102834. doi: https://doi.org/10.1016/j.ijinfomgt.2024.102834 DOI: https://doi.org/10.1016/j.ijinfomgt.2024.102834

Claros Vásquez, C. (2024). Calidad de servicio y satisfacción de los estudiantes en la Universidad Nacional de Barranca, 2023 (Tesis de Doctorado). Universidad Nacional José Faustino Sánchez Carrión. http://hdl.handle.net/20.500.14067/9388

Comisión Económica para América Latina y el Caribe. (2021). Enfoque de resultados y valor publico. https://repositorio.cepal.org/bitstream/handle/11362/46795/1/S2100039_es.pdf

Cruz Dallagnol, E., & Portulhak, H. (2025). Public value disclosure by Brazilian federal universities. The British Accounting Review, 101587. doi: https://doi.org/10.1016/j.bar.2025.101587 DOI: https://doi.org/10.1016/j.bar.2025.101587

Galindo Domínguez, H. (2020). Estadistica para no estadisticos. Una guía básica sobre la metodología cuantitativa de trabajos academicos. 3 Ciencias. DOI: https://doi.org/10.17993/EcoOrgyCso.2020.59

Hemesath, S., & Tepe, M. (2024). Public value positions and design preferences toward AI-based chatbots in e-government. Evidence from a conjoint experiment with citizens and municipal front desk officers. Government Information Quarterly 41 (4), 101985. doi: https://doi.org/10.1016/j.giq.2024.101985 DOI: https://doi.org/10.1016/j.giq.2024.101985

Hernández , R., & Mendoza , C. (2018). Metodología de la investigación:Las rutas cuantitativa, cualitativa y mixta. Mexico: Mc Graw Hill. DOI: https://doi.org/10.17993/CcyLl.2018.15

Huapaya, G., Sumire, R., Jarama, R., & Sumire, E. (2023). Calidad de Servicio y Satisfacción de Estudiantes Universitarios con la Educación Virtual en Tiempos de Pandemia. Encuentros: Revista de Ciencias Humanas, Teoría Social y Pensamiento Crítico N° 17, 250-275. doi: http://doi.org/10.5281/zenodo.7527667

Khan, S., Umer, R., Umer, S., & Naqvi, S. (2021). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society Vol 64, 101400. doi: https://doi.org/10.1016/j.techsoc.2020.101400 DOI: https://doi.org/10.1016/j.techsoc.2020.101400

Kim, S. (2023). Quality of smart-work support service, perceived value and intention to continue smart-work: empirical evidence from Korea. Information Technology & People 36 (5), 2137-2160. doi: https://doi.org/10.1108/ITP-08-2020-0544 DOI: https://doi.org/10.1108/ITP-08-2020-0544

Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management 57 (3), 103197. doi: https://doi.org/10.1016/j.im.2019.103197 DOI: https://doi.org/10.1016/j.im.2019.103197

Malacina, I., Karttunen , E., Jääskeläinen, A., Lintukangas, K., Heikkilä, J., & Kähkönen, A. (2022). Capturing the value creation in public procurement: A practice-based view. Journal of Purchasing and Supply Management 28 (2), 100745. doi: https://doi.org/10.1016/j.pursup.2021.100745 DOI: https://doi.org/10.1016/j.pursup.2021.100745

Nookhao, S., & Kiattisin, S. (2023). Achieving a successful e-government: Determinants of behavioral intention from Thai citizens’ perspective. Heliyon 9 (8), e18944. doi: https://doi.org/10.1016/j.heliyon.2023.e18944 DOI: https://doi.org/10.1016/j.heliyon.2023.e18944

Organización de las Naciones Unidas. (2022). E-Government Survey 2022 The Future of Digital Government. https://desapublications.un.org/sites/default/files/publications/2022-09/Web%20version%20E-Government%202022.pdf

Parasuraman, A., Zeithaml, V., & Berry, L. (2019). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Simon and Schuster Publishing.

Paredes Romero, K. (2022). Procesos académicos virtuales en la satisfacción del servicio en estudiantes de la Universidad Nacional Intercultural de la Amazonia, 2022. Ciencia Latina Revista Científica Multidisciplinar 6 (4), 4989-5014. doi: https://doi.org/10.37811/cl_rcm.v6i4.2989 DOI: https://doi.org/10.37811/cl_rcm.v6i4.2989

Sumi, R., & Kabir, G. (2021). Satisfaction of E-Learners with Electronic Learning Service Quality Using the SERVQUAL Model. Journal of Open Innovation: Technology, Market, and Complexity 7 (4), 227. doi: https://doi.org/10.3390/joitmc7040227 DOI: https://doi.org/10.3390/joitmc7040227

Valverde Iparraguirre, J. (2022). Modelo de gobierno digital basado en Cobit 2019 y el valor público en la Universidad Nacional de San Martín (Tesis Doctoral). Universidad Nacional de San Martín. http://hdl.handle.net/11458/4543

Xiong, L., Wang, H., & Wang, C. (2022). Predicting mobile government service continuance: A two-stage structural equation modeling-artificial neural network approach. Government Information Quarterly 39 (1), 101654. doi: https://doi.org/10.1016/j.giq.2021.101654 DOI: https://doi.org/10.1016/j.giq.2021.101654

Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Al Hafizh, M., Zakiyah, M., & Nusi, A. (2024). AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory. Computers and Education: Artificial Intelligence 7, 100335. doi: https://doi.org/10.1016/j.caeai.2024.100335 DOI: https://doi.org/10.1016/j.caeai.2024.100335

Published

2025-10-30

How to Cite

Franco-Ulco, R. A. (2025). Digital service quality and the public value of the digital platform of a public university in Lima, Peru, 2024 . UNAAACIENCIA-PERÚ, 4(2), e132. https://doi.org/10.56926/unaaaciencia.v4i2.132

Issue

Section

Original articles