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dc.contributor.authorCheng, Jen-Weien_US
dc.contributor.authorChiu, Wei-Laen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:29:24Z-
dc.date.available2014-12-08T15:29:24Z-
dc.date.issued2013-03-01en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.knosys.2012.12.002en_US
dc.identifier.urihttp://hdl.handle.net/11536/21186-
dc.description.abstractThis study compares the relative role of impression management tactics and the other form of supervisor-subordinate guanxi (s-s g) in predicting supervisor-rated employee performance. Empirical data were collected from 175 supervisor-subordinate dyads working full-time in Taiwanese organisations. Specifically, this study uses the Dominance-based Rough Set Approach (DRSA) to formulate employee social skills by generating "if-then" decision rules. Then, flow network graphs are applied to represent employee decision rules. The results indicate that the personal-life inclusion of supervisor-subordinate guanxi matters more than various impression management tactics in achieving high performance ratings. Additionally, employees avoiding engaging in the supplication tactic may face in low performance ratings. The findings have implications for many of the decision rules that influence performance ratings from supervisors. (C) 2012 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectImpression management tacticsen_US
dc.subjectSupervisor-subordinate guanxi (s-s g)en_US
dc.subjectSupervisor-rated employee performanceen_US
dc.subjectDominance-based Rough Set Approach (DRSA)en_US
dc.subject"If-then" decision rulesen_US
dc.subjectFlow network graphsen_US
dc.titleDo impression management tactics and/or supervisor-subordinate guanxi matter?en_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.knosys.2012.12.002en_US
dc.identifier.journalKNOWLEDGE-BASED SYSTEMSen_US
dc.citation.volume40en_US
dc.citation.issueen_US
dc.citation.spage123en_US
dc.citation.epage133en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000315325800013-
dc.citation.woscount1-
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