Providing a Fuzzy Expert System for Human Resources Strategy Formulation

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AFKHAMI ARDAKANI MEHDI; Alimohammadi Ardakani Majid

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Journal: PUBLIC MANAGEMENT RESEARCHES Year:2018 | Volume:11 | Issue:39 Page(s): 93-112

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Information Journal Paper

Title

Providing a Fuzzy Expert System for Human Resources Strategy Formulation

Author(s)

AFKHAMI ARDAKANI MEHDI | Alimohammadi Ardakani Majid | Issue Writer Certificate

Keywords

Human Resource StrategyQ2

the strategic reference pointsQ1

Fuzzy Inference SystemQ1

Abstract

Human resources are a key source of sustainable competitive advantage and are considered as one of the main factors for the success of organizations. Therefore, effective management of human resources has become one of the most important issues facing organizations to achieve organizational goals. Given the strategic importance of human resources, adopt appropriate strategies to manage these resources, is the main concern of senior managers. In this study with the configurational approach, a model based on Fuzzy Inference Systems (FIS) is provided for formulation of human resources strategy. Based on Dyer and Holder model inputs include contribution, composition, competence and commitment. Based on Bamberger and Meshoulam model outputs includes paternalistic, secondary, free-agent and commitment strategies. The system was designed, in RIPI was used and the results indicate that the system is valid.

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APA: Copy

AFKHAMI ARDAKANI, MEHDI, & Alimohammadi Ardakani, Majid. (2018). Providing a Fuzzy Expert System for Human Resources Strategy Formulation. PUBLIC MANAGEMENT RESEARCHES, 11(39 ), 93-112. SID. https://sid.ir/paper/222166/en

Vancouver: Copy

AFKHAMI ARDAKANI MEHDI, Alimohammadi Ardakani Majid. Providing a Fuzzy Expert System for Human Resources Strategy Formulation. PUBLIC MANAGEMENT RESEARCHES[Internet]. 2018;11(39 ):93-112. Available from: https://sid.ir/paper/222166/en

IEEE: Copy

MEHDI AFKHAMI ARDAKANI, and Majid Alimohammadi Ardakani, “Providing a Fuzzy Expert System for Human Resources Strategy Formulation,” PUBLIC MANAGEMENT RESEARCHES, vol. 11, no. 39 , pp. 93–112, 2018, [Online]. Available: https://sid.ir/paper/222166/en

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