Results of confidence interval in three models.

BackgroundInformation sharing plays a key role in supply chain performance. According to previous individual studies, technology, trust, commitment, and uncertainty are four potential factors affecting information sharing. However, most studies focus on testing a positive relationship between each factor and information sharing. Therefore, it is necessary to evaluate the effect of each factor on information sharing.ObjectiveTo determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing.DataCorrelation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google ScholarMethodsUsing the rank correlation test and Egger’s regression test to test publication bias. The meta-analysis method is used to perform analysis models, including fixed-effect, random-effect, and Hunter and Schmidt methodsResultsCommitment plays the most important role in information sharing when compared to technology, trust, and uncertainty. Commitment accounts for 19% in the Hunter and Schmidt method and 22% in both fixed-effect and random-effect models. In addition, the result indicates that there are around 50% of other factors that affect the efficiency of sharing information besides four factors in our studies.ConclusionTechnology, trust, and commitment significantly affect information sharing, of which the impact of commitment on information sharing is strongest and should be a priority in improving the effectiveness of information sharing. Our study contributes two findings to literature in the field of supply chain information sharing: 1) certain confirming the important role of commitment on sharing information, and 2) the necessity of considering other factors besides these four elements.研究背景：信息共享对供应链绩效起着至关重要的作用。既往单项研究表明，技术、信任、承诺与不确定性是影响信息共享的四类潜在因素。但现有多数研究仅聚焦于验证各因素与信息共享间的正向关联，因此有必要系统评估各因素对信息共享的实际影响。 研究目标：明确各因素对信息共享的精准影响效应，并筛选核心影响因素，为决策者优化信息共享实践提供决策支撑。 研究数据：从Google Scholar收录的41项单项研究中提取各因素间的相关系数，纳入总样本量共计8983例。 研究方法：采用秩相关检验（rank correlation test）与埃格回归检验（Egger’s regression test）识别发表偏倚；运用元分析（meta-analysis）方法构建分析模型，涵盖固定效应模型、随机效应模型以及亨特-施密特方法（Hunter and Schmidt）。 研究结果：相较于技术、信任与不确定性，承诺对信息共享的影响最为显著。在亨特-施密特方法下，承诺的解释占比为19%；在固定效应与随机效应模型中，该占比均为22%。此外，本研究结果显示，除上述四类因素外，尚有近50%的其他因素会影响信息共享的实施效率。 研究结论：技术、信任与承诺均会对信息共享产生显著影响，其中承诺的影响强度最高，应作为提升信息共享效能的优先优化方向。本研究为供应链信息共享领域的学术文献贡献了两项核心发现：其一，明确了承诺对信息共享的关键作用；其二，凸显了在研究中纳入上述四类因素之外的其他影响因素的必要性。