In two experiments, we examined the function of procedural justice in signaling individuals’ value to the group by arguing that individuals treated fairly are more likely to engage in proactive preventive behavior, a behavior that involves proactively revising or correcting the mistakes and intentional deceptions of coworkers. In addition, we extend Staw and Boettger’s (1990) work on task revision and demonstrate that procedural justice and goal setting have compensatory effects, such that procedural justice can be combined with performance goals to reap the valuable aspects of goal setting while minimizing some of the unintended side-effects. Our findings also contribute to the ongoing discussion of the mixed effects of goal setting, as well as the effects of multiple goal assignment.

In a historical revision of the achievement goal construct, Elliot (2005) recognized that there is little consensus on whether the term “goal” in “achievement goal orientations” (GO) is best represented as an “aim”, as an overarching orientation encompassing several “aims”, or as a combination of aims and other processes -self-regulation, etc.-. Elliot pointed also that goal theory research provides evidence for different models of GO. As there were no consensus on these issues, we decided to get evidence about the nature and structure of GO, about the role of gender differences in the configuration of such structure, and about relations between GO, expectancies, volitional processes and achievement. A total of 382 university students from different faculties of two public universities of Madrid (Spain) that voluntarily accepted to fill in a questionnaire that assessed different goals, expectancies and self-regulatory processes participated in the study. Scales reliability, confirmatory factor analyses, multiple-group analyses, and correlation and regression analyses were carried out. Results support the trichotomous model of GO, the consideration of GO as a combination of aims and other psychological processes, showed some gender differences and favour the adoption of a multiple goal perspective for explaining students' motivation.

In this paper, a systematic algorithm, the Parallel Scheme, is proposed to solve the multiple-goal problem of redundant manipulators. It can adaptively adjust all the weighting factors of the corresponding goals according to their individual needs. Therefore, conflicts due to redundancy competition are resolved. To upgrade the redundancy-release capability of the original Parallel Scheme, the Improved Parallel Scheme is also developed by using the exponential function to adjust the weightings. The Improved Parallel Scheme is shown to improve both the redundancy-release capability and the weighting-adjustment capability while retaining all the merits of the original Parallel Scheme.