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Including Client Opinion and Employee Engagement in the Strategic Human Resource Management: An Advanced SWOT- FUZZY Decision Making Tool

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  • Rachid Belhaj

    (Mohammadia School of Engineering Rabat, Mohammed V University, Agdal, Morocco)

  • Mohamed Tkiouat

    (Mohammadia School of Engineering Rabat, Mohammed V University, Agdal, Morocco)

Abstract

The trend in the Human Resources Management is to enhance it to the strategic level, this paper intends to provide an advanced decision making tool in the field of the Strategic Human Resources Management applying a combination of an augmented SWOT analysis approach to evaluate and to rank strategies and a Fuzzy Inference System (FIS) to eliminate the vagueness in the expressed opinions. The version of SWOT utilized here includes the client opinion and employee engagement besides to the traditional experts' assessment, while the FIS is an instrument that treats the data coming from SWOT analysis with the goal of avoiding the uncertainty that may come from the opinions expressed in the SWOT analysis and so to improve the ranking of the strategies. The results show improvements in prioritization of strategies in the way that besides knowing the decision to make for each, the model shows us also what to do regarding every strategy (what to maximize and what to minimize while talking about strengths, weaknesses, opportunities and threat).The proposed model can be applied for strategies prioritization and decision making problems in all fields.

Suggested Citation

  • Rachid Belhaj & Mohamed Tkiouat, 2015. "Including Client Opinion and Employee Engagement in the Strategic Human Resource Management: An Advanced SWOT- FUZZY Decision Making Tool," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 6(3), pages 20-33, July.
    • Handle: RePEc:igg:jhcitp:v:6:y:2015:i:3:p:20-33
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    Cited by:

    1. Youssef Lamrani Alaoui & Mohamed Tkiouat, 2017. "Managing Operational Risk Related to Microfinance Lending Process using Fuzzy Inference System based on the FMEA Method: Moroccan Case Study," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(4), pages 459-471, December.

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