Assessing E-Government Effectiveness

A Structural Equation Modeling Approach

  • Aso Kh. Ameen (1) Department of Computer Science, College of Science, Cihan University-Erbil, Kurdistan Region - F.R. Iraq; (2) Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq https://orcid.org/0000-0002-7037-7546
  • Dler H. Kadir (1) Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil, Kurdistan Region - F.R. Iraq; (2)Department of Business Administration, Cihan University-Erbil, Kurdistan Region - F.R. Iraq https://orcid.org/0000-0002-1254-721X
  • Dana A. Abdullah Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq https://orcid.org/0009-0009-7610-3157
  • Ismail Y. Maolood Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq https://orcid.org/0000-0003-1683-1493
  • Hewir A. Khidir Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil, Kurdistan Region - F.R. Iraq https://orcid.org/0009-0003-6376-1093
DOI: https://doi.org/10.14500/aro.11601
Keywords: E-Government Services, Kurdistan Region, Regression modeling, Structural equation modeling, User satisfaction

Abstract

In this study, we address the pressing need to improve e-government services by conducting a comprehensive evaluation of document management practices within the Ministry of Higher Education in the Kurdistan Region of Iraq. Employing structural equation modeling and regression modeling techniques, we assess the effectiveness of key variables using the six factors (digitalization, utility, reliability, efficiency, user satisfaction, and accessibility) under the e-government assessment model. Our findings reveal that user satisfaction and ease of access are pivotal for the success of e-government services, with digitization and efficiency significantly impacting operational effectiveness. Furthermore, it also concerns that without improving the overall user satisfaction, the level of acceptance and use of e-government remains low. High user satisfaction can make a lot of difference in overall engagement besides improving service delivery among organizations. Through insights specific to the Kurdistan Region, we underscore the importance of balancing technical infrastructure with user experience. Our proposed six-factor model offers valuable guidance for policymakers and practitioners globally, aiming to enhance e-government services.

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Author Biographies

Aso Kh. Ameen, (1) Department of Computer Science, College of Science, Cihan University-Erbil, Kurdistan Region - F.R. Iraq; (2) Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq

Aso Kh. Ameen is an Assistant Lecturer at the Department of Computer Science, College of Science, Cihan University-Erbil, Iraq,  and the Head of the Information Systems Department, ICTC Directorate, Ministry of Higher Education and Scientific Research, Kurdistan Region, Iraq. He received his B.Sc. degree in Computer Science from Salahaddin University-Erbil, and his M.Sc. degree in Software Engineering from Firat University in Elazig, Turkey. His research interests are in machine learning, data science, social network analysis, and natural language processing. Mr. Ameen is a member of the Iraqi Kurdistan Programmers Syndicate.

Dler H. Kadir, (1) Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil, Kurdistan Region - F.R. Iraq; (2)Department of Business Administration, Cihan University-Erbil, Kurdistan Region - F.R. Iraq

Dler H. Kadir is an Assistant Professor at the Department of Statistics, College of Administration and Economics, Salahaddin University-Erbil, Iraq. He received his B.Sc. degree in Statistics from Salahaddin University-Erbil, his M.Sc. degree in Statistics from the University of Sulaymaniyah, Iraq, and his Ph.D. degree in Probability and Statistics from the University of Sheffield, UK. His research interests include Bayesian inference, MCMC, and statistical modeling. Dr. Kadir is a member of the Kurdistan Economic Syndicate.

Dana A. Abdullah, Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq

Dana A. Abdullah is an Assistant Lecturer at various private universities. Dana is an employee at the Ministry of Higher Education and Scientific Research, working full-time in the Information Systems Department, ICTC Directorate. He earned his B.Sc. degree in Computer Science from Salahaddin University-Erbil, and his M.Sc. degree in Computer Networking from the Department of Engineering at Sheffield Hallam University, UK. His research interests include AI-Based Networking, Computer Vision, AIoT (Artificial Intelligence Integrated Internet of Things), NLP, and Robotic AI. Mr. Abdullah is a member of the Iraqi Kurdistan Programmers Syndicate.

Ismail Y. Maolood, Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research, Erbil, Kurdistan Region - F.R. Iraq

Ismail Y. Maolood is the Director of Statistics and Planning in the Ministry of Higher Education and Scientific Research, Kurdistan Region, Iraq. He received his B.Sc. degree in Computer Science from Salahaddin University-Erbil, his M.Sc. degree in Computer Science from Universiti Teknologi Malaysia, and his Ph.D. degree in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), China. His research interests include IoT, image processing, networking, and cloud computing. Dr. Maolood is a member of the Kurdistan Economic Syndicate.

Hewir A. Khidir, Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil, Kurdistan Region - F.R. Iraq

Hewir A. Khidir is a Lecturer at the Department of Statistics, College of Administration and Economics, Salahaddin University-Erbil, Iraq. He received his B.Sc. degree from Salahaddin University-Erbil, his M.S.c. degree from the University of Nottingham, UK, and his Ph.D. from the University of Near East, Turkey. His research focuses on biostatistics, Bayesian inference, MCMC, and statistical modeling. Dr. Khidir is a member of the Kurdistan Economic Syndicate.

 

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Published
2024-08-06
How to Cite
Ameen, A. K., Kadir, D. H., Abdullah, D. A., Maolood, I. Y. and Khidir, H. A. (2024) “Assessing E-Government Effectiveness: A Structural Equation Modeling Approach”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 12(2), pp. 52-60. doi: 10.14500/aro.11601.
Issue
Vol. 12 No. 2 (2024): Issue Twenty Three
Section
Articles

Copyright (c) 2024 Aso Kh. Ameen, Dler H. Kadir, Dana A. Abdullah, Ismail Y. Maolood, Hewir A. Khidir

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