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Social value orientation and work group outcomes: An assessment and revision of the Campion work group effectiveness model

机译:社会价值取向和工作组成果:对Campion工作组有效性模型的评估和修订

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Purpose - The purpose of this paper is to propose and predict an improved model for antecedents to work group productivity Design/methodology/approach - The Campion work group effectiveness model (CWGEM) provides a wide variety of variables or constructs to predict and measure the effectiveness of a team, but suffers from limitations. This paper introduces social value orientation (SVO) and suggests its potential utility as an alternative conceptualization of certain portions of CWGEM, which, based on the literature reviewed, has the potential to explain differences in social support, workload sharing and communication and cooperation within groups, resulting in one measure more efficiently replacing three. Findings - A series of testable propositions offering revisions to CWGEM is presented, along with special consideration for the inclusion of SVO as a predictor of work group outcomes. This paper expands on a theoretically developed empirical model that can predict differences in work group production Research limitations/implications - The revision to CWGEM presented here requires empirical validation, but work group conflict could benefit from an additional factor that explains interpersonal conflict, as SVO does. Originality/value - The authors' primary contribution is offering a revision to CWGEM that could provide an improved explanation for differences in work group productivity using SVO and a model that could result in a more efficient and better measure.
机译:目的-本文的目的是为工作组生产力的先例提出和预测一个改进的模型设计/方法/方法-坎皮恩工作组有效性模型(CWGEM)提供了各种各样的变量或结构来预测和衡量有效性团队,但受到限制。本文介绍了社会价值取向(SVO),并提出了其潜在用途,可以作为CWGEM某些部分的替代概念,根据回顾的文献,它有可能解释社会支持,工作分担以及群体内部沟通与合作方面的差异,从而可以更有效地替代一项措施。结果-提出了一系列对CWGEM进行修订的可测试命题,并特别考虑了将SVO作为工作组成果的预测指标。本文扩展了可以在工作组生产中预测差异的理论开发的经验模型。研究局限性/含义-此处提出的CWGEM修订版需要进行经验验证,但是工作组冲突可能得益于解释人际冲突的其他因素,如SVO所做的那样。 。原创性/价值-作者的主要贡献是对CWGEM进行了修订,可以使用SVO和模型提供更好的解释,以解释工作组的生产率差异,该模型可以得出更有效和更好的衡量标准。

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