Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries
The goal of this study was to determine the key elements driving the expansion of e-government in Arab nations. One of the econometric models—the cross-sectional time series model (panel)—was employed to accomplish the intended outcome. The following techniques were used to estimate the models: fixe...
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| Format: | Article |
| Language: | Arabic |
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University of Information Technology and Communications
2025-04-01
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| Series: | Iraqi Journal for Computers and Informatics |
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| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/541 |
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| _version_ | 1850184910597259264 |
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| author | Ban Qasim Al nidawy |
| author_facet | Ban Qasim Al nidawy |
| author_sort | Ban Qasim Al nidawy |
| collection | DOAJ |
| description | The goal of this study was to determine the key elements driving the expansion of e-government in Arab nations. One of the econometric models—the cross-sectional time series model (panel)—was employed to accomplish the intended outcome. The following techniques were used to estimate the models: fixed effects model, random effects model, and linear panel data regression analysis. The results revealed that e-government is negatively affected by political stability and the absence of terrorism and violence (PV), positively affected by government effectiveness (GE), positively affected by regulatory quality (RQ), and positively affected by the rule of law (RL). |
| format | Article |
| id | doaj-art-38d7e9f92b254e5f9d6b0305b52ce3bf |
| institution | OA Journals |
| issn | 2313-190X 2520-4912 |
| language | Arabic |
| publishDate | 2025-04-01 |
| publisher | University of Information Technology and Communications |
| record_format | Article |
| series | Iraqi Journal for Computers and Informatics |
| spelling | doaj-art-38d7e9f92b254e5f9d6b0305b52ce3bf2025-08-20T02:16:55ZaraUniversity of Information Technology and CommunicationsIraqi Journal for Computers and Informatics2313-190X2520-49122025-04-01511192610.25195/ijci.v51i1.541504Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countriesBan Qasim Al nidawy0University of Information Technology and CommunicationsThe goal of this study was to determine the key elements driving the expansion of e-government in Arab nations. One of the econometric models—the cross-sectional time series model (panel)—was employed to accomplish the intended outcome. The following techniques were used to estimate the models: fixed effects model, random effects model, and linear panel data regression analysis. The results revealed that e-government is negatively affected by political stability and the absence of terrorism and violence (PV), positively affected by government effectiveness (GE), positively affected by regulatory quality (RQ), and positively affected by the rule of law (RL).https://ijci.uoitc.edu.iq/index.php/ijci/article/view/541e-governmentgrowth factorarab countriespanel models |
| spellingShingle | Ban Qasim Al nidawy Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries Iraqi Journal for Computers and Informatics e-government growth factor arab countries panel models |
| title | Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries |
| title_full | Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries |
| title_fullStr | Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries |
| title_full_unstemmed | Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries |
| title_short | Cross-sectional time series models for identifying the most important factors of e-government growth in Arab countries |
| title_sort | cross sectional time series models for identifying the most important factors of e government growth in arab countries |
| topic | e-government growth factor arab countries panel models |
| url | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/541 |
| work_keys_str_mv | AT banqasimalnidawy crosssectionaltimeseriesmodelsforidentifyingthemostimportantfactorsofegovernmentgrowthinarabcountries |