Identifying and Ranking Technology-Telecommunications Context of Information Security anagement System in E-Government Using Fuzzy AHP Approach
محورهای موضوعی : Business Strategy
Sana Javid
1
(Department of Management,
College of Management and accounting, Sistan & Baluchistan University, Sistan & Baluchistan, Iran)
Nour Mohammad Yaghoubi
2
(Department of Management,
College of Management and accounting, Sistan & Baluchistan University, Sistan & Baluchistan, Iran)
کلید واژه: Fuzzy AHP, E-government, Information security management system, technical-telecommunications context,
چکیده مقاله :
In recent years, many security threats have entered into the organizations’ information and changed the organizational performance resulting in their exorbitant costs. This question is of particular importanceabout government agencies that use information and Internet systems. This issue enabled the top managers of organizations to implement a security system and minimize these costs. Using Information Security management system is considered as a tool to promote information security and information systems. According to research conducted, four contexts of legal, technical communication, organizational-managerial, and cultural and social have been detected in the effective establishment of information security management system in electronic government. The aim of the present study is to identify and rank the subcriteria of technical- communications for the effective establishment of information security management system in electronic government. For this purpose, by reviewing the literature, a list of important criteria wasdeveloped and the sub-criteria of technical-communications for the effective establishment of information security management system were identified and classified into six general areas by conducting interviews with experts and completing a questionnaire. Then a census and paired comparison questionnaire of experts were carried out and the criteria were weighted and ranked with the analysis of data through fuzzy AHP approach.
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