A comparison of online and traditional performance evaluation systems

Author(s):  
Stephanie Payne ◽  
Margaret Horner ◽  
Wendy Boswell ◽  
Amber Wolf ◽  
Stine-Cheyne Kelleen
2013 ◽  
Vol 33 (5) ◽  
pp. 369-376 ◽  
Author(s):  
Adele Caldarelli ◽  
Clelia Fiondella ◽  
Marco Maffei ◽  
Rosanna Spanò ◽  
Massimo Aria

2015 ◽  
Vol 23 (1) ◽  
pp. 32-34 ◽  
Author(s):  
S.S. Sreejith

Purpose – Explains why performance evaluation designed for manufacturers is inappropriate for information technology organizations. Design/methodology/approach – Underlines the distinctiveness of the information technology workforce and provides the basis for an effective performance- evaluation system designed for these workers. Findings – Highlights the roles of consensus and transparency in setting and modifying evaluation criteria. Practical implications – Urges the need for a fair and open rewards and recognition system to run in parallel with reformed performance evaluation. Social implications – Provides a way of updating performance evaluation systems to take account of the move from manufacturing to information technology-based jobs in many developed and developing societies. Originality/value – Reveals how best to recognize, reward and assess the performance of information technology workers.


2013 ◽  
Vol 8 (3) ◽  
pp. 418-434 ◽  
Author(s):  
Sean Corcoran ◽  
Dan Goldhaber

In this policy brief we argue that there is little debate about the statistical properties of value-added model (VAM) estimates of teacher performance, yet, despite this, there is little consensus about what the evidence about VAMs implies for their practical utility as part of high-stakes performance evaluation systems. A review of the evidence base that underlies the debate over VAM measures, followed by our subjective opinions about the value of using VAMs, illustrates how different policy conclusions can easily arise even given a high-level general agreement about an existing body of evidence. We conclude the brief by offering a few thoughts about the limits of our knowledge and what that means for those who do wish to integrate VAMs into their own teacher-evaluation strategy.


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