Weexamine howtask features interactwith individuals' regulatorymodes in determining performance. Effective
goal pursuit normally occurs when high locomotion (the regulatory mode concerned with motion from state to
state) and high assessment (the regulatorymode concerned with critical evaluation) work together (Kruglanski
et al., 2000). However, there may be situations inwhich this high–high combination is unnecessary or even detrimental
to good performance. We hypothesized that on simple tasks, high locomotion and low assessment
should lead to the best performance; on complex tasks, however, high locomotion and high assessment should
lead to the best performance.We tested these hypotheses in two empirical studies, one carried out in an organizational
setting, the other in the lab. In the first study,wemeasured individuals' locomotion and assessment tendencies,
asked them to rate the complexity of their daily work tasks, and obtained measures of their job
performance from their supervisors. In the second study, we measured individuals' locomotion and assessment
tendencies, manipulated the task complexity of an inbox task they had to complete, and measured their performance
on that task. Both studies provided support for our hypotheses. These results offer important insights regarding
the effects of regulatory mode on performance
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.