Title :
Notice of Retraction
P-O Fit as an Alternative Predictor of Employee Service Performance: Do Shared Cognitions Matter?
Author :
Xiaoyun Xie ; Jin Yan
Author_Institution :
Sch. of Manage., Zhejiang Univ., Hangzhou
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The present study argued that traditional customer behavior studies that focused on either organizational level (e.g. HRM policy, service climate) or individual level construct (e.g. customer orientation) cannot account for the variation of service performance adequately. Aiming to increase our theoretical understanding on prediction of service outcomes, we adopted a new research construct from organizational behavior field which combined the individual characteristics of service provider and organizational characteristics of the employee located; in the other word, person-organization fit was administrated to predict front-line employee´s job performance in several service industries. The new predictor showed a promising effect on predicting service provider´s performance; further, based on multiple regression analysis, person-organization fit showed that it account for significant incremental variance over the traditional predictor-customer orientation on prediction of service provider´ performance. We argued that promoting and cultivating P-O fit in the organizational setting would be beneficial for service industry. Finally, theoretical prospect and practical implications were discussed.
Keywords :
customer services; human resource management; organisational aspects; personnel; prediction theory; regression analysis; service industries; customer behavior; employee service performance prediction; individual level construct; multiple regression analysis; person-organization fit; service industries; shared cognitions; Bridges; Cognition; Customer satisfaction; Gallium nitride; Human resource management; Knowledge management; Profitability; Quality management; Regression analysis; Standards organizations;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1611