心理学
心理信息
情感(语言学)
组织公民行为
多级模型
社会心理学
人格
任务(项目管理)
工作表现
关系绩效
组织行为学
发展心理学
组织承诺
工作设计
管理
工作满意度
沟通
机器学习
计算机科学
经济
法学
政治学
梅德林
作者
Liu‐Qin Yang,Lauren Simon,Lei Wang,Xiaoming Zheng
摘要
We draw from personality systems interaction (PSI) theory (Kuhl, 2000) and regulatory focus theory (Higgins, 1997) to examine how dynamic positive and negative affective processes interact to predict both task and contextual performance. Using a twice-daily diary design over the course of a 3-week period, results from multilevel regression analysis revealed that distinct patterns of change in positive and negative affect optimally predicted contextual and task performance among a sample of 71 employees at a medium-sized technology company. Specifically, within persons, increases (upshifts) in positive affect over the course of a workday better predicted the subsequent day's organizational citizenship behavior (OCB) when such increases were coupled with decreases (downshifts) in negative affect. The optimal pattern of change in positive and negative affect differed, however, in predicting task performance. That is, upshifts in positive affect over the course of the workday better predicted the subsequent day's task performance when such upshifts were accompanied by upshifts in negative affect. The contribution of our findings to PSI theory and the broader affective and motivation regulation literatures, along with practical implications, are discussed. (PsycINFO Database Record
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