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Human Information Interaction 2022, 9(1): 1-18 |
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Mirzamani S M, abazari Z, RiahiNia N, Hariri N, daniali S. Identifying Effective Knowledge Management Components and Indica-tors in Iranian Metropolitan Municipalities Using Fuzzy Delphi Tech-nique. Human Information Interaction 2022; 9 (1)
URL: http://hii.khu.ac.ir/article-1-3053-en.html
URL: http://hii.khu.ac.ir/article-1-3053-en.html
Abstract: (1402 Views)
Objective: The purpose was to identify components and effective characteristics of knowledge management of metropolitan municipalities in Iran.
Methods: Applied qualitative fuzzy Delphi analysis method was incorporated. The qualitative experts in the community in the field: Urban management, and executives in the municipalities. Twenty experts surveyed purposefully to generate a semi-structured questionnaire.
Results: Based on Delphi analysis, 7 components and 59 indices were identified, based on the codes collected from the research literature, and based on a questionnaire form performed by experts using fuzzy Delphi method, 7 components were included. Knowledge among employees with average of 0.846, Competitive advantage for organization with average of 0.822, Knowledge sharing among employees with average of 0.840, Knowledge in organization with average of 0.831, Knowledge distribution among employees with average 0.839, knowledge creation for workers with a mean of 0.840, knowledge transfer among workers with a mean of 0.788.
Conclusion: Knowledge management as a scientific discipline is still in its infancy with so many unidentified topics in Iran. Although organizations, especially the case study of metropolitan municipalities, are gradually recognizing the importance of knowledge management in their various units, there is still a long way to operate adequately.
Methods: Applied qualitative fuzzy Delphi analysis method was incorporated. The qualitative experts in the community in the field: Urban management, and executives in the municipalities. Twenty experts surveyed purposefully to generate a semi-structured questionnaire.
Results: Based on Delphi analysis, 7 components and 59 indices were identified, based on the codes collected from the research literature, and based on a questionnaire form performed by experts using fuzzy Delphi method, 7 components were included. Knowledge among employees with average of 0.846, Competitive advantage for organization with average of 0.822, Knowledge sharing among employees with average of 0.840, Knowledge in organization with average of 0.831, Knowledge distribution among employees with average 0.839, knowledge creation for workers with a mean of 0.840, knowledge transfer among workers with a mean of 0.788.
Conclusion: Knowledge management as a scientific discipline is still in its infancy with so many unidentified topics in Iran. Although organizations, especially the case study of metropolitan municipalities, are gradually recognizing the importance of knowledge management in their various units, there is still a long way to operate adequately.
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