A hybrid decision-support model for self-managed career

Abstract

Purpose

The purpose of this paper is to develop a self-managed career model, in which protean and boundaryless careers were used.

Design/methodology/approach

A hybrid methodology is proposed where Buckley’s fuzzy analytic hierarchy process (FAHP) method was used for prioritization of these criteria, sub-criteria, and indicators, and fuzzy TOPSIS method was used to select the most appropriate career path for a given individual.

Findings

The hybrid model for self-managed career was tested with a real numerical example. Findings were congruent with the example’s current career and future career aspirations.

Research limitations/implications

The model was tested with one numerical example. The model could be applied to individuals from various cultures, age groups and backgrounds to further discuss its validity.

Originality/value

Career decisions are affected from individuals’ values and perceptions. New career orientations like Protean and Boundaryless Career are built upon this fact to include subjectivity. Because of the shortcomings of traditional methods to deal with uncertainty related to subjective evaluations, a FAHP and fuzzy TOPSIS based hybrid multi-attribute decision-support model was utilized to help individuals with their career decisions.

Citation

Yildiz, D., Beskese, A. and Bozbura, F.T. (2015), "A hybrid decision-support model for self-managed career", Kybernetes, Vol. 44 No. 4, pp. 555-575. https://doi.org/10.1108/K-12-2014-0289