The impact of factors on information sharing: An application of meta-analysis

• Published in: PloS one Vol. 16; no. 12; p. e0260653
• Main Authors: Diem Le, Chau Thi, Pakurár, Miklós, Kun, István András, Oláh, Judit
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 22-12-2021; Public Library of Science (PLoS)
• Subjects: Computer and Information Sciences; Correlation; Correlation coefficient; Correlation coefficients; Customers; Data correlation; Data entry; Decision Making; Engineering and Technology; Evaluation; Humans; Hypotheses; Informatics; Information Dissemination - methods; Information management; Information sharing; Information technology; Medical ethics; Meta-analysis; Methods; Physical Sciences; Publication Bias; Regression Analysis; Research and Analysis Methods; Schmidt method; Science Policy; Social Sciences; Suppliers; Supply chains; Technology; Trust; Uncertainty; United States; Hungary; Vietnam
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0260653

Information 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.
To determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing.
Correlation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google Scholar.
Using 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 methods.
Commitment 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.
Technology, 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.