Providing a Model for Predicting the Successful Implementing of Talent Management in Knowledge-based Companies Using Fuzzy Inference System
| Autor: | Saied Sehhat, Mohammad Taghi TaghaviFard, Reza salami, Mojtaba Afsharian |
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| Jazyk: | perština |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | مطالعات مدیریت راهبردی, Vol 10, Iss 37, Pp 41-60 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2228-6853 2676-6744 |
| Popis: | The main purpose of this research is to identify the factors affecting the successful of implementing talent management in Knowledge-based Companies. The present research is an applied research in terms of purpose, and in terms of the research design, it is a descriptive-survey research. Also, it is a cross-sectional, in term of time and in term of the nature of data is quantitative. In order to analyze the data and modeling, the fuzzy inference system was used and the fuzzy inference model was designed in MATLAB software.Statistical population of the study include experts that consisting of managers, senior executives and HR managers knowledge-based companies in Rasht Which their opinions were used to formulate fuzzy inference rules and the construction of these rules was based on the opinions of 25 experts. The findings of this research indicate that three factors, such as employer brand, organizational culture and transformational leadership style, have been identified as the underlying and effective factors on the successful implementation of talent management in knowledge-based companies. Based on the results of this study, among these factors, the transformational leadership style has the greatest impact on the successful implementation of talent management in knowledge based companies. Similarly, the employer brand and organizational culture were ranked accordingly. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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