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  • 标题:Designing a Competency Model for Creative Industry Leaders using Discrete Consensus Support Methods and Interpretive Structural Modeling
  • 本地全文:下载
  • 作者:Sharifi, Seyed Mahdi ; Farhangi, Ali Akbar ; Heidari, Ali
  • 期刊名称:Industrial Management
  • 印刷版ISSN:2008-5885
  • 电子版ISSN:2423-5369
  • 出版年度:2020
  • 卷号:12
  • 期号:2
  • 页码:299-318
  • DOI:10.22059/imj.2020.307585.1007763
  • 出版社:University of Tehran Electronic Journals Database
  • 摘要:Objective: With changes in audience behavior, the growth of information and communication technologies, globalization as well as the removal of business market constraints, creative industries and media organizations need to adapt more quickly to these changes, and effort to compatibility leads to more business dynamics. In this regard, relying on organizational assets and capitals ensures success. One of the key assets of the creative industry is the competencies of leaders. The purpose of this study is to design a competency model for creative industry leaders. This model is used to select and hire leaders, develop and train them, identify the talents of creative industries, promote and appoint them. Methods: In this paper, both qualitative and quantitative approaches in two main steps were used. In the first step, the main competencies of creative industries leaders identified and in the second step, the conceptual model od competencies developed. Results: To identify competencies, Systematic Literature Review (SLR) has been used and 50 competencies have been identified. Then, through Discrete Consensus Support Method (DCSM), these competencies are filtered, reduced and reached to 40 cases. Finally, through the Structural Interpretive Modeling (ISM), the conceptual model of 16 competencies has been developed. In four levels: basic, behavioral, technical and excellence. Conclusion: According to the final model of competency, creative industry leaders should have four clusters of competencies: basic, behavioral, technical and excellence.
  • 关键词:Competency;creative industries;Systematic literature review;Discrete consensus support method;Structural interpretive modeling
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