The Journal of applied psychology
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The leader-member exchange (LMX) literature has established that leaders differentiate among their followers. Yet little is known about the effects of LMX differentiation (within-group variation in LMX quality). In this study, we contend that the effects of LMX differentiation on the employee outcomes of work attitudes, coworker relations, and employee withdrawal behaviors will be contingent upon the level of procedural and distributive justice climate. Data from 276 employees working in 25 stores of a retail chain in Turkey supported our hypotheses such that LMX differentiation was related to more negative work attitudes and coworker relations, and higher levels of withdrawal behaviors only when justice climate was low.
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Despite much research into cognitive ability as a selection tool and a separate large literature on the causes of voluntary turnover, little theoretical or empirical work connects the two. We propose that voluntary turnover is also a potentially key outcome of cognitive ability. Incorporating ideas from the person-environment fit literature and those regarding push and pull influences on turnover, we posit a theoretical connection between cognitive ability and voluntary turnover that addresses both why and how voluntary turnover is related to cognitive ability. ⋯ When the cognitive demands of a job are high, our findings support the hypothesized curvilinear relationship between cognitive ability and voluntary turnover, such that employees of higher and lower cognitive ability are more likely than medium cognitive ability employees to leave voluntarily. With regard to jobs with low cognitive demands, our data are more consistent with a negative linear relationship between cognitive ability and voluntary turnover, such that higher cognitive ability employees are less likely to leave voluntarily. We also examine the role of job satisfaction, finding that job satisfaction is more strongly linked to voluntary turnover in jobs with high cognitive demands.
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Understanding the processes involved when pursuing multiple goals over time is a central question for motivational theorists. A dynamic, computational model integrating theories of goal striving and goal choice is presented to account for data emerging from Schmidt and DeShon's (2007) multiple-goal-pursuit protocol. ⋯ Variance in parameters in the model also accounted for individual differences found in the data. Discussion focuses on the theoretical contribution of formally integrating elements of self-regulation theories, further empirical work needed to test the model, and further theoretical work needed to continue the integration process exemplified here.