ASSESSMENT OF CAREER SELECTION PROBLEMS IN DEVELOPING COUNTRIES: A MCDM APPROACH

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Sep 13, 2017
Yousaf Ali
Naveed Iftikhar Cedric Aimal Edwin

Abstract

Career selection is one of the most vital and challenging decisions in the life of 

Career selection is one of the most vital and challenging decisions in the life of an individual. In many cases, the individual is not solely responsible for their career choice. In order to address this problem and provide remedial measures, a sample of engineering students was taken from different institutions in Pakistan. Based on the student’s current and previous academic performance and interest in their projects, a weighted index was constructed with empirical evidence. This index reflects the overall comprehensiveness of the career decision. The study revealed that 57.4% of the students are enrolled because of self-interest, while the remaining have other reasons. Furthermore, it was found that a significant number of students experience poor outcomes because of bad decisions in relation to how they choose their career. Data analysis suggests that the majority of the students who choose their career due to the influence of others show poor performance on the index rating. The reason for the career choice of the students indicates a highly significant ((p-value = 0.003) association. A gamma test is used to determine the direction of the association. The results also indicate a negative trend when there is a shift of career choice from one due to self-interest to one based on the outlook of the career. This research takes into account all of the important factors in career choice, and is particularly useful for guidance counselors of high schools and colleges as it provides a framework for career choice decisions for students. Finally, the researchers propose a decision making criteria and a numerical model for guiding counselors and students. 

https://doi.org/10.13033/ijahp.v9i2.488

How to Cite

Ali, Y., Iftikhar, N., & Edwin, C. A. (2017). ASSESSMENT OF CAREER SELECTION PROBLEMS IN DEVELOPING COUNTRIES: A MCDM APPROACH. International Journal of the Analytic Hierarchy Process, 9(2). https://doi.org/10.13033/ijahp.v9i2.488

Downloads

Download data is not yet available.
Abstract 1694 | PDF Downloads 347

##plugins.themes.bootstrap3.article.details##

Keywords

p-value, AHP, Goodness of the career decision, Guidance counselor, Gamma test

References
Fizer, D. (2013). Factors affecting career choices of college students enrolled in agriculture. A research paper presented for the Master of Science in Agriculture and Natural Science degree at The University of Tennessee, Martin.

Hensen, Jo Alda & Neuman. (1999). Evidence of concurrent predication interest and skill survey CISS. Journal of Career Assesment, 7(3), 239-247. Doi: https://doi.org/10.1177/106907279900700304

Jones, D. P., & Ewell, P. T. (1987). Accountability in higher education: Meaning and methods. Boulder, CO: National Center for Higher Education Management Systems.

Kark, & James, J. (1990). Selection of graduate major: Implications for student recruitment. College and University, 66(1), 35-40.

Kaynama, Shohreh, & Louis, S. (1996). Using consumer behavior and decision model to aid a student in college major. Journal of Marketing of Higher Education, 7(2), 57-73. Doi: http://dx.doi.org/10.1300/J050v07n02_05

Liberatore, & Miller, M. J. (1995). A decision support approach for transport carrier and mode selection. Journal of Business Logistics, 16(2), 85-99.

Oh, H. (2007). Business school students career perceptions and choice decisions. University of Florida: David F. Miller Center for Retailing Education and Research.

Ozgar, C., Strasser, S., Schroeder, D. (1999). Using the Analytical Hierarchy Process to select a college major. Indiana: Valparasio University.

Swann, C, and Henderson, S. (1998). Handbook for the college admissions profession. Westport, CT: Greenwood Publishing Group.

Saaty, T.L. (1994). How to make a decision: the Analytic Hierarchy Process, Interfaces, 24(6), 19–43. Doi: https://doi.org/10.1287/inte.24.6.19

Saaty, T.L., 2008. Decision making with the Analytic Hierarchy Process. International Journal of Services Sciences, 1(1), 83-98.
Doi: http://dx.doi.org/10.1504/IJSSCI.2008.017590

Tame, L. R. (1996). Efficacy expectations and vocational interests as mediators between sex and choice of math/science college majors: A longitudinal study. Journal of Vacational Behavior, 49(3) 77-91. Doi: https://doi.org/10.1006/jvbe.1996.0044
 
Section
Articles