We predict multistakeholder benefits as a measure of organizational performance from the perspective of important organizational stakeholders. Specifically, we identify the relative importance of theoretical antecedents that affect the different dimensions of stakeholder benefits. Offering the first empirical synthesis of multistakeholder benefits to date, we assess the statistical explanatory power of different theories in the literature, focusing on the extent to which their suggested antecedents of organizational performance may lead to improvements in multiple dimensions of stakeholder benefits. Based on 110 empirical studies since 1990 to date concerning any two of four stakeholder groups (investors, customers, employees, and community /environment), we find no evidence for any single theory to have sufficient explanatory power in predicting benefits concerning all four stakeholder groups. Thus, we cannot reduce different mechanisms leading to multistakeholder benefits to a grand model or theory but need to resort to a multi-theoretical synthesis. Taking stock of the meta-analysis, we suggest future studies should fill three gaps: multiple dimensions within a stakeholder benefit, causal complexity, and inequality of stakeholder benefit creation.

我们从重要的组织利益相关者的角度预测多利益相关者的利益作为组织绩效的衡量标准。具体来说，我们确定了影响利益相关者利益不同维度的理论前因的相对重要性。迄今为止，我们首次提供了多利益相关者利益的实证综合，评估了文献中不同理论的统计解释能力，重点关注他们建议的组织绩效前因可能在多大程度上导致利益相关者利益的多个维度的改善。基于自 1990 年至今关于四个利益相关者群体（投资者、客户、员工和社区/环境）中任意两个群体的 110 项实证研究，我们没有发现任何单一理论在预测所有四个利益相关者群体的利益方面具有足够解释力的证据。因此，我们不能将导致多利益相关者利益的不同机制简化为一个宏大的模型或理论，而是需要诉诸多理论综合。回顾荟萃分析，我们建议未来的研究应填补三个空白：利益相关者利益的多个维度、因果复杂性和利益相关者利益创造的不平等。