Volume 36, Issue 2 (summer 2023)
JMDP 2023, 36(2): 31-60 |
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Mohammadi N, Memarzadeh Tehran G, Tootian Esfehani S. (2023). A Model for Implementing Information Technology Policies in The Sixth Development Plan Based on the Neural Network Approach. JMDP. 36(2), 31-60. doi:10.61186/jmdp.36.2.31
URL: http://jmdp.ir/article-1-4609-en.html
URL: http://jmdp.ir/article-1-4609-en.html
1- Department of Public Administration, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Department of Public Administration, Faculty of Management and Economics, Science and Research Branch of Islamic Azad University, Tehran, Iran. ,memarzadeh@srbiau.ac.ir
3- Department of Public Administration, Faculty of Accounting and Management, West Tehran Branch, Islamic Azad University, Tehran, Iran.
2- Department of Public Administration, Faculty of Management and Economics, Science and Research Branch of Islamic Azad University, Tehran, Iran. ,
3- Department of Public Administration, Faculty of Accounting and Management, West Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract: (2035 Views)
Purpose: This Study was performed to present a model for implementing information technology policies for The Sixth Development Plan based on the neural network approach.
Methodology: Based on purpose, this research was applied and used survey method. Questionnaires were administered to collect data. In the factor identification phase, the statistical population consisted of 15 managers of Communication Company, who made the experts pannel. In the testing phase, 260 IT experts comprised the sample.
Findings: The factors affecting implementation include two main dimensions of structure and function, as well as ten subsequent dimensions (environment, policy, organization size, culture, technology, human resource development, infrastructure development, plans development, private section development, content provision) are worth of consideration. Results show that the neural network of the best structure consists of one entry layer with 5 entry variables, one hidden layer with 10 neurons, and one outgoing layer with one variable.
Originality: Taking conceptology into consideration, and using the mixed approach, we explained the components affecting the implementation of IT consisting of structure and function (both variables). Regarding methodology, modeling through neural networking approach can be considered as another contribution of this research. With regard to application value, this study makes it clear that the best combination for development is realized when all entry variables are considered simultaneously. Besides, the weakest scenario would be when the development of infrastructures is ignored.
Methodology: Based on purpose, this research was applied and used survey method. Questionnaires were administered to collect data. In the factor identification phase, the statistical population consisted of 15 managers of Communication Company, who made the experts pannel. In the testing phase, 260 IT experts comprised the sample.
Findings: The factors affecting implementation include two main dimensions of structure and function, as well as ten subsequent dimensions (environment, policy, organization size, culture, technology, human resource development, infrastructure development, plans development, private section development, content provision) are worth of consideration. Results show that the neural network of the best structure consists of one entry layer with 5 entry variables, one hidden layer with 10 neurons, and one outgoing layer with one variable.
Originality: Taking conceptology into consideration, and using the mixed approach, we explained the components affecting the implementation of IT consisting of structure and function (both variables). Regarding methodology, modeling through neural networking approach can be considered as another contribution of this research. With regard to application value, this study makes it clear that the best combination for development is realized when all entry variables are considered simultaneously. Besides, the weakest scenario would be when the development of infrastructures is ignored.
Type of Study: Research |
Subject:
Public Administration Approches
Received: Apr 05 2023 | Accepted: Sep 11 2023 | ePublished: Nov 11 2023
Received: Apr 05 2023 | Accepted: Sep 11 2023 | ePublished: Nov 11 2023
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