Ranking Employees based on their Career Orientation: Considering Protean and Boundaryless Career Attitudes
The decline of the traditional organizational career requires new ways of viewing career orientation. The constructs of protean and boundaryless are argued within the careers literature as the modern attitudes toward career orientation. The main purpose of this paper is to present an algorithm to identify and select employees based on their career orientation. In this regard first a common measure for assessing employees' protean and boundaryless career orientation is presented. Then, a multiple criteria decision making method is used in order to rank employees based on the implied criteria. Subjectivity and uncertainty of employee perceptions are considered through fuzzy concept. Implementing this algorithm in a real case (an Iranian company in the field of electric power and energy industry) verifies the applicability of the proposed framework.
Abraham, S., Karns, L., Shaw, K., & Mena, M. (2001). Managerial competencies and the managerial performance appraisal process. Journal of Management Development, 20(10), 842 - 852.
Andrés, R., García-Lapresta, J., & González-Pachón, J. (2010). Performance appraisal based on distance function methods. European Journal of Operational Research, 207, 1599–1607.
Arthur, M., & Lawrence, B. (1984). Perspectives on environment and career: An introduction. Journal of Occupational Behavior, 5, 1–8.
Ashtiani, B., Haghighirad, F., Makui, A., & Montazer, G. A. (2008). Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing doi:10.1016/j.asoc.2008.05.005.
Barouch, Y. (2006). Career development in organizations and beyond: balancing traditional and contemporary viewpoints. Human Resource Management Riview, 16, 125-138.
Bozionelos, N. (2001). Organizational downsizing and career development. Career Development International, 6(2), 87-92.
Briscoe, J., & Hall, D. (2006). protean careers: Combinations and implications. Journal of Vocational Behavior, 69, 4-18.
Briscoe, J., Hall, D., & DeMuth, R. (2006). Protean and boundaryless careers: An empirical exploration. Journal of Vocational Behavior, 69, 30–47.
Buyukozkan, G., Feyziog˘lu, O., & Nebol, E. (2007). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics 113(1), 148–158.
Chen, C.-T., Lin, C.-T., & Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301.
Chilton, M., & Hardgrave, B. (2004). Assessing Information Technology Personnel: Toward A Behavioral Rating Scale. The DATA BASE for Advances in Information Systems, 35(3), 88-104.
Chompookum, D., & Brooklyn Derr, C. (2004). The effects of internal career orientations on organizational citizenship behavior in Thailand. Career Development International, 9(4), 406-423.
De Filippi, R., & Arthur, M. (1994). The boundaryless career: A competency-based perspective. Journal of Organizational Behavior, 15, 307–324.
Dursun, M., & Karsak, E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37, 4324–4330.
Hsieh, T.-Y., Lu, S.-T., & Tzeng, G.-H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22(7), 573–584.
Gerber, M., Wittekind, A., Grote, G., & Staffelbach, B. (2009). Exploring types of career orientation: A latent class analysis approach. Journal of Vocational Behavior, 75, 303–318.
Giangreco, A., Carugati, A., Sebastiano, A., & Al Tamimi, H. (2012). War outside, ceasefire inside: An analysis of the performance appraisal system of a public hospital in a zone of conflict. Evaluation and Program Planning, 35, 161–170.
Hall, D. (2002). Careers In and Out Of Organizations. CA: Sage, Thousand Oaks.
Igbaria, M., Greenhaus, J., & Parasuramn, S. (1991). Career orientations of MIS employees: an empirical analysis. MIS Quarterly, 15, 151-169.
Kabak, M., Burmaog˘lu, S., & Kazançog˘lu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39, 3516–3525.
Karsak, E. E. (2002). Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. International Journal of Production Research 40(13), 3167–3181.
Kaufmann, A., & Gupta, M. M. (1988). Fuzzy mathematical models in engineering and management science. Amsterdam: North-Holland.
Kuo, M., & Liang, G. (2012). A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers. Applied Soft Computing, 12, 476–485.
Lazarove, M., & Taylor, S. (2009). Boundaryless careers, social capital, and knowledge management: Implications for organizational performance. Journal of Organizational Behavior, 30, 119–139.
Lee, T., & Maurer, S. (1997). The retention of knowledge workers with the unfolding model of voluntary turnover. Human Resource Management Rivew, 7, 247-275.
Maier, G., Rappensperger, G., Rosenstiel, L., & Zwarg, I. (1994). Professional aims and values of future leaders in the old and new federal states. Journal of Occupational and Organizational Psychology, 38, 4–12.
Manoharan, T., Muralidharan, C., & Deshmukh, S. (2012). A composite model for employees’ performance appraisal and improvement. European Journal of Training and Development, 36(4), 448-480.
Meenakshi, G. (2012). Multi source feedback based performance appraisal system using Fuzzy logic decision support system. International Journal on Soft Computing, 3(1), 91-106.
Min-peng, X., Xiao-hu, Z., & Xin a, D. (2012). Modeling of Engineering R&D Staff Performance Appraisal Model Based on Fuzzy Comprehensive Evaluation. Systems Engineering Procedia, 4, 236 – 242.
Moon, C., Lee, J., & Lim, S. (2010). A performance appraisal and promotion ranking system based on fuzzy logic: An implementation case in military organizations. Applied Soft Computing, 10, 512–519.
Scheneier, C., Beatty, R., & Baird, L. (1986). Creating a performance management system. Training and Development Journal, 40(5), 74-79.
Spence, J., & Keeping, L. (2011). Conscious rating distortion in performance appraisal: A review, commentary, and proposed framework for research. Human Resource Management Review, 21, 85–95.
Sullivan, S., & Arthur, M. (2006). The evolution of the boundaryless career concept: Examining physical and psychological mobility. Journal of Vocational Behavior, 69, 19–29.
Taormina, R., & Gao, J. (2009). Identifying acceptable performance appraisal criteria: An international perspective. Asia Pacific Journal of Human Resources, 47(1), 102-125.
Wang, Y.-J., & Lee, H.-S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers & Mathematics with Applications, 53(11), 1762–1772.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Van Maanen, J., & Schein, E. (1997). Improving the quality of work life: career development. NY: McGraw-Hill.
Vos, A., & Soens, N. (2008). Protean attitude and career success: The mediating role of self-management. Journal of Vocational Behavior, 73, 449–456.
Zadeh, L. A. (1965). Fuzzy sets. Information Control, 8, 338–353.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning.part 1 and 2. Information Sciences, 8, 199–249.301-357.
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