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Job Choice with Multi-Criteria Decision Making Approach in a Fuzzy Environment

Author

Listed:
  • Selçuk Alp

    (Department of Industrial Engineering, Yildiz Teknik University, Ýstanbul, Turkey)

  • Tuðba Kiral Özkan

    (Department of Finance, Banking and Insurance, Bahcesehir University, Ýstanbul, Turkey.)

Abstract

One of the most important decisions that a fact in individual’s life is job choice. Job choice can be defined as opting for the optimum type of entity one can practise his profession among the businesses that exist in a society. In this study, job choice problem is considered as a multi-criteria decision making (MCDM) problem and it has been analyzed by using fuzzy technique for order preference by similarity to ideal solutions method; one of the MCDM methods. 275 surveys have been carried out in total for seven different job choice criteria determined (wage level, job security, location of the business, vested benefits, respectability in the society, the difficulty level of the business, flexible working time opportunity) and four different types of entity choice alternative (public corporation, special purpose entity, foreign capital enterprises, one’s own business). As a result of the analysis, it has been found that in general, the preferred job choice criteria of the decision makers (the individuals who participated in the survey) is respectively as follows; the respectability level of the business in the society, wage level, and flexible working time opportunity. Thus, these criteria have been considered more important when compared with other criteria. It has also been determined that the type of entity choices in which the decision makers wish to work are listed respectively as foreign capital enterprises, in one’s own business as an enterpreneur, public corporation and lastly special purpose entity. Moreover, the decision makers have been grouped as regards to the types of each entity and the fields they have worked in and similar analysis have been carried out and the results obtained have been evaluated.

Suggested Citation

  • Selçuk Alp & Tuðba Kiral Özkan, 2015. "Job Choice with Multi-Criteria Decision Making Approach in a Fuzzy Environment," International Review of Management and Marketing, Econjournals, vol. 5(3), pages 165-172.
  • Handle: RePEc:eco:journ3:2015-03-08
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    References listed on IDEAS

    as
    1. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    2. McGraw, Katherine & Popp, Jennie S. & Dixon, Bruce L. & Newton, Doris J., 2012. "Factors Influencing Job Choice among Agricultural Economics Professionals," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(2), pages 251-265, May.
    3. McGraw, Katherine & Popp, Jennie S. Hughes & Dixon, Bruce L. & Newton, Doris J., 2012. "Factors Influencing Job Choice among Agricultural Economics Professionals," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(2), pages 1-15, May.
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    More about this item

    Keywords

    Fuzzy Technique for Order Preference by Similarity to Ideal Solutions; Job Choice; Multi-Criteria Decision Making;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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