DocumentCode :
2993706
Title :
Which kinds of compensation system are more effective on the R&D staffs´ individual performance?—An empirical study
Author :
Zhu Fei
Author_Institution :
Central Univ. of Finance & Econ., Beijing, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
1161
Lastpage :
1166
Abstract :
High-tech industry is the driver of Chinese economy. How to motivate the R&D staffs´ performance is the core issue for High-tech enterprise. The study explored the relations among compensation system,equity cognition and R&D staffs´ Individual performance. The main findings are as follows: 1) skill-based compensation are positively correlated to external equity significantly, but not significant to personal equity, but the relations between job-based compensation and equity cognition are reverse.2) performance-based compensation are barely correlated to distributive equity and procedural equity, and are negatively correlated to one item (individual equity)of distributive equity and some terms(openness, appeals) of procedural equity. 3) The Mediating Role of equity cognition between the compensation system and task performance is not significant, but it is significant between compensation system and contextual performance, and the explanation power of cognition of procedural equity to contextual performance is higher than that of distributive equity.
Keywords :
personnel; salaries; Chinese economy; distributive equity; equity cognition; high tech enterprise; high tech industry; job based compensation; performance based compensation system; personal equity; procedural equity; skill based compensation; staffs individual performance; Cognition; Companies; Context modeling; Correlation; Industries; Predictive models; compensation system; contextual performance; distributive equity; procedural equity; task performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414322
Filename :
6414322
Link To Document :
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