System Speed Efficiency and Service Delivery Performance in a Digital Permit System

Empirical Evidence from the Ngorongoro Conservation Area Authority, Tanzania

Authors

  • Joseph Daudi Faculty of Informatics

DOI:

https://doi.org/10.59645/tji.v4i1.813

Keywords:

System Speed Efficiency, Service Delivery Performance, Digital Permit Systems, Electronic Government Systems

Abstract

Digital permit management systems are increasingly used in public institutions to improve efficiency, transparency, and responsiveness, yet performance constraints especially system speed inefficiency continue to undermine service delivery in high-demand environments. This study examined the influence of system speed efficiency on customer service delivery within the Ngorongoro Conservation Area Authority Online Permit System at Ngorongoro Conservation Area Authority Arusha, focusing on processing time, system reliability, automated decision channels, timeliness of report generation, and transaction approval efficiency. A quantitative, causal-explanatory design was employed, using structured questionnaires administered to a stratified random sample of 345 respondents. Data were analyzed using descriptive statistics, Pearson correlation, and multiple regression analysis. Results indicated generally favorable perceptions of system speed efficiency, with all speed dimensions showing significant positive inter-correlations, confirming a coherent system quality construct. The regression model demonstrated strong explanatory power, accounting for 69.1% of the variance in customer service delivery, with timeliness of report generation emerging as the most influential predictor. The study contributes by extending information systems success evaluation to conservation-based digital permit platforms in a developing economy and highlighting report-output timeliness as a strategic lever for improving public digital service performance. These findings suggest that performance optimization in public digital systems should prioritize output timeliness rather than front-end automation alone, particularly in high demand regulatory environments.

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References

Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2022). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 7(2), 100–115. https://doi.org/10.1016/j.jik.2022.100203

Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2022). Evaluating e-government systems success: An empirical study. Electronic Government, an International Journal, 18(2), 117–138. https://doi.org/10.1504/EG.2022.121345

Al-Mansoori, M. T., & Hamid, A. A. (2023). System response time and customer satisfaction in digital financial platforms. Journal of Financial Services Marketing, 28(3), 324–339. https://doi.org/10.1057/s41264-022-00178-3

Alotaibi, M. B., & Alshahrani, A. I. (2022). Measuring e-government service quality using the IS success model. Government Information Quarterly, 39(1), 101–120. https://doi.org/10.1016/j.giq.2021.101632

Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2023). Digital transformation and service per-formance in public organizations. Information Systems Frontiers, 25(4), 987–1003. https://doi.org/10.1007/s10796-022-10275-6

Bell, E., Bryman, A., & Harley, B. (2022). Business research methods (6th ed.). Oxford Uni-versity Press.

Bryman, A., & Bell, E. (2019). Business research methods (5th ed.). Oxford University Press.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information sys-tems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Founda-tions and Trends® in Information Systems, 2(1), 1–116. https://doi.org/10.1561/2900000005

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (9th ed.). Cengage Learning.

Hassan Sain, M. A., Rahman, A., & Rahim, N. F. (2025). System automation and service de-livery efficiency in public organizations. International Journal of Information Manage-ment, 73, 102–118. https://doi.org/10.1016/j.ijinfomgt.2024.102754

Kassim, M., & Selemani, A. (2023). ICT infrastructure constraints and e-government service performance in Tanzania. African Journal of Information Systems, 15(2), 45–62.

Lashayo, H. A., & Johar, F. (2018). E-government adoption and service quality in developing countries. International Journal of Public Administration, 41(7), 567–579. https://doi.org/10.1080/01900692.2017.1300912

Lwoga, E. T., & Sife, A. S. (2018). Trust, satisfaction, and continued use of e-government ser-vices. Electronic Journal of Information Systems in Developing Countries, 84(3), e12015. https://doi.org/10.1002/isd2.12015

Mwita, K. M. (2024). Digital public service delivery challenges in Tanzania. Journal of African Public Administration, 6(1), 1–15.

Ng’eno, V., & Juma, D. (2022). Digital licensing systems and service delivery in East Africa. Journal of E-Governance, 45(3), 211–226. https://doi.org/10.3233/GOV-210089

Ngorongoro Conservation Area Authority (NCAA). (2024). Operational report on the NCAA Online Permit System. NCAA.

Ngorongoro Conservation Area Authority. (2025). NCAA online permit system and conserva-tion services. Government of the United Republic of Tanzania. https://www.ncaa.go.tz

Nugraha, F., & Sukmawati, R. (2023). Information quality and service performance in e-government platforms. Journal of Public Administration Research and Theory, 33(4), 612–628. https://doi.org/10.1093/jopart/muad017

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Organisation for Economic Co-operation and Development (OECD). (2022). Digital govern-ment index 2021. OECD Publishing. https://doi.org/10.1787/4de9f5bb-en

Organisation for Economic Co-operation and Development (OECD). (2023). The path to digi-tal government. OECD Publishing.

Patel, N., McCarthy, J., & Woodside, A. (2022). System integration and service efficiency in digital platforms. Information & Management, 59(5), 103–124. https://doi.org/10.1016/j.im.2021.103624

SafariBookings. (2025). Safari tour operators and travel information in Tanzania. https://www.safaribookings.com

Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education.

Tadesse, G., & Gizaw, A. (2022). E-government service efficiency and citizen trust in develop-ing economies. Government Information Quarterly, 39(2), 101–115. https://doi.org/10.1016/j.giq.2021.101668

Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd

United Nations. (2023). E-government survey 2022: The future of digital government. United Nations Department of Economic and Social Affairs.

United Republic of Tanzania (URT). (2022). Public sector reform programme and digital governance strategy. Government Printer.

Widyaningrum, R., Nugroho, Y., & Prasetyo, P. (2024). System quality and public service per-formance in e-government. Electronic Government, an International Journal, 20(1), 1–20. https://doi.org/10.1504/EG.2024.134521

World Bank. (2024). Digital public infrastructure for service delivery in developing economies. World Bank Group.

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Published

2026-06-29

How to Cite

Daudi, J. (2026). System Speed Efficiency and Service Delivery Performance in a Digital Permit System: Empirical Evidence from the Ngorongoro Conservation Area Authority, Tanzania. The Journal of Informatics, 4(1). https://doi.org/10.59645/tji.v4i1.813

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Articles