Rachana Chattopadhayay
International Management Institute, Kolkata, India, and
Anil Kumar Ghosh
Theoretical Statistics and Mathematics Unit,
Indian Statistical Institute, Kolkata, India
Performance appraisal based on a FDS
881
Received 8 August 2011
Revised 29 January 2012
1 May 2012
Accepted 24 June 2012
Abstract
Purpose – Performance appraisal based on a forced distribution system (FDS) is widely used in large corporate sectors around the globe. Though many researchers have pointed out several drawbacks in
FDS, due to the absence of any suitable alternative, it has been (and continues to be) adopted by many industries over a long period of time. The purpose of this paper is to point out some serious limitations of this system and propose a simple modification to overcome these limitations.
Design/methodology/approach – FDS determines the relative positions of the employees involved in similar work by comparing them against one another, and based on their performance, the employees receive different grades. Here the authors use the Likert’s scaling method to convert these grades into numerical scores, then these scores are used to estimate the average performance of each group of employees, which is referred to as the group index. Taking these group indices into consideration, the authors propose a modified performance score of each employee for their final evaluation. Efficiencies of the existing FDS and the proposed modified version are compared using a simple measure of rank correlation known as the Kendall’s tau-statistic.
Findings – Extensive simulation studies show that the modified algorithm is uniformly better than the existing one over different schemes for allocations of employees to different projects, and depending on
References: Arvey, R.D. and Murphy, K.R. (1998), “Performance evaluation in work settings”, Annual Review of Psychology, Vol Bertz, R.D. Jr, Milkovich, G.T. and Read, W. (1992), “The current state of performance appraisal research and practice: concerns, directions, and implications”, Journal of Management, Blume, B.D., Baldwin, T.T. and Rubin, R.S. (2009), “Reactions to different types of forced distribution performance evaluation systems”, Journal of Business Psychology, Vol Bossidy, L. and Charan, R. (2002), Execution: The Discipline of Getting Things Done, Crown Business, New York, NY. Colvin, G. (2001), “We can’t all be above average”, Fortune, Vol. 144, August, p. 3. Duffy, K.E. and Webber, R.E. (1974), “On relative rating systems”, Personnel Psychology, Vol. 27 No Goffin, R.D., Gellatly, I.R., Paunonen, S.V., Jackson, D.N. and Meyer, J.P. (1996), “Criterion validation of two approaches to performance appraisal: the behavioral observation Gray, G. (2002), “Performance appraisal don’t work”, Industrial Management, Vol. 44 No. 2, pp Grote, D. (2005), Forced Ranking: Making Performance Management Work, Havard Business Press, Boston, MA. Guralnik, O., Rozmarin, E. and So, A. (2004), “Forced distribution: is it right for you?”, Human Resource Development Quarterly, Vol Heneman, R.L. (1986), “The relationship between supervisory rating and result-oriented measures of performance: a meta analysis”, Personnel Psychology, Vol Jawahar, I.M. and Williams, C.R. (1997), “Where all children are above average: the performance appraisal purpose effect”, Personnel Psychology, Vol Johnson, N.L., Kotz, S. and Balakrishnan, N. (1995), Continuous Univariate Distributions, Wiley, New York, NY. Judges, T.A. and Ferris, G.R. (1993), “Social context of performance evaluation decisions”, Academy of Management Journal, Vol Kanfer, R. (1990), “Motivational theory and industrial and organizational psychology”, in Dunnette, M.D Kendall, M. (1938), “A new measure of rank correlation”, Biometrika, Vol. 30 Nos 1-2, pp. 81-9. Landy, F.J., Barnes, J.L. and Murphy, K.R. (1978), “Correlates of perceived performance and accuracy of performance evaluation”, The Journal of Applied Psychology, Vol Likert, R. (1932), “A technique for measurement of attitudes”, Archives of Psychology, Vol. 22 No McBriarty, M. (1988), “Performance appraisal: some unintended consequences”, Public Personnel Management, Vol Madan, A. (2006), “Appraising the performance appraisal – the Indian scenario”, Indian Journal of Training and Development, Vol Murphy, K.R. and Cleveland, J. (1995), Understanding Performance Appraisal: Social, Organizational and Goal-Based Perspective, Sage, Thousand Oaks, CA. Nathan, B.R. and Alexander, R.A. (1988), “A comparison of criteria for test validation: a metaanalytic investigation”, Personnel Psychology, Vol. 41 No. 3, pp. 517-35. Pfeffer, J. and Sutton, R.I. (2006), “Evidence-based management”, Harvard Business Review, Vol Roch, S.G., Sternburgh, A.M. and Caputo, P.M. (2007), “Absolute vs. relative performance rating formats: implication for fairness and organizational justice”, International Journal Rynes, S.L., Brown, K.G. and Colbert, A.E. (2002), “Seven common misconception about human resource practices: research findings versus practitioners beliefs”, Academy of Saiyadain, M.S. (1998), Human Resource Management, Tata McGraw Hill, New Delhi. Shirouzu, N. (2001), “Ford stops using letter rankings to rate workers”, Wall Street Journal, 11 July, p Tichy, N. and Sherman, S. (2001), Control Your Destiny or Someone Else Will, Harper Business Essentials, New York, NY. Vaishnav, C., Khakifirooz, A. and Devos, M. (2006), “Punishing by reward: when your performance bell-curve stop working for you”, International Conference of System Viswesvaran, C. (2001), “Assessment of individual job performance: a review of the past century and a look ahead”, in Anderson, N., Ones, D.S., Sinangil, H.K Viswesvaran, C. and Ones, D.S. (2000), “Perspectives on models of job performance”, International Journal of Selection and Assessment, Vol Wanger, S.H. and Goffin, R.D. (1997), “Differences in accuracy of absolute and comparative appraisal methods”, Organizational Behavior and Human Decision Processes, Vol