Presentation of Fuzzy Model to Evaluate Amount of Preparedness to Adopt Information Management System in Organization (case study: Zahedan Municipality)
The main goal of this study is to present fuzzy logic-based method in order to evaluate preparedness of organizations in adopting information management system. As a case study, this model was implemented in Zahedan Municipality. In addition to above mentioned goal, the process of the study specify...
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| Format: | Article |
| Language: | fas |
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Iranian Research Institute for Information and Technology
2019-09-01
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| Series: | Iranian Journal of Information Processing & Management |
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| Online Access: | http://jipm.irandoc.ac.ir/article-1-3551-en.html |
| Summary: | The main goal of this study is to present fuzzy logic-based method in order to evaluate preparedness of organizations in adopting information management system. As a case study, this model was implemented in Zahedan Municipality. In addition to above mentioned goal, the process of the study specify the weakness and strength of organization under consideration in adaptation and implementation of these systems. In this study, using the factors extracted from previous studies and receiving views of 20 IT experts, 19 indexes are selected for task process, and preparedness of Zahedan Municipality [equal to 0.467] to accept information management system (based on the numbers between 0 and 1) is calculated, while using verbal expressions of experts and specialists associated with organization. The weakness and strength of Zahedan Municipality in this path are specified as side effect of research. Development and expansion of network in the organization and knowledge of personnel coming from positive effects of IT applications in increasing productivity and performance efficiency are determined as reliable and strong. Furthermore, organization has weakness in electronic communication with citizen and other (upstream and counterpart) organization in city, province, and country and up-to-date information banks and clarity of available data in them. |
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| ISSN: | 2251-8223 2251-8231 |