Which is the Best Way to Measure Job Performance: Self-Perceptions or Official Supervisor Evaluations?

Which is the Best Way to Measure Job Performance: Self-Perceptions or Official Supervisor Evaluations?

Ned Kock (Department of International Business and Technology Studies, Texas A&M International University, Laredo, TX, USA)
Copyright: © 2017 |Pages: 9
DOI: 10.4018/IJeC.2017040101


Among latent variables that can be used in e-collaboration research, job performance is a particularly important one. It measures what most e-collaboration tools in organizations aim to improve, namely the performance at work of individuals executing tasks collaboratively with others. The authors report on a comparative assessment of scores generated based on a self-reported job performance measurement instrument vis-à-vis official annual performance evaluation scores produced by supervisors. The results suggest that the self-reported measurement instrument not only presents good validity, good reliability and low collinearity; but that it may well be a better way of measuring job performance than supervisor scores.
Article Preview

Illustrative Model And Data

Our discussion is based on the illustrative model depicted in Figure 1. This illustrative model addresses the organizational effect of the use of social networking sites (SN), such as Facebook and LinkedIn, on job performance (JP). In the model, this effect (i.e., of SN on JP) is hypothesized to be indirect and mediated by intermediate effects on job satisfaction (JS) and organizational commitment (OC). These hypotheses are generally supported by the structural model coefficients; notable among these are the path coefficients and P values indicated next to each arrow in the model. This illustrative model is based on an actual study.

Figure 1.

Illustrative model used. Notes: SN = social networking site use; JS = job satisfaction; OC = organizational commitment; JP = job performance; notation under latent variable acronym describes measurement approach and number of indicators, e.g., (R)5i = reflective measurement with 5 indicators


Complete Article List

Search this Journal:
Open Access Articles
Volume 17: 4 Issues (2021): 1 Released, 3 Forthcoming
Volume 16: 4 Issues (2020): 3 Released, 1 Forthcoming
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing