Abstract
This study aims to explore the significant variables affecting online knowledge-sharing and the hierarchical structure, from the perspective of online learners. To comprehensively discuss the relationship between these variables, binary logit regression and interpretative structural model (ISM) was used. Based on literature analysis, the data of 29 candidates were obtained, and 670 valid data was acquired through an electronic questionnaire. A total of 13 significant variables were also obtained using the Logit model of SPSS 22, with an 8-layer ISM program established by MATLAB 2017A software. The results showed that six of the 13 variables had positive effects on online knowledge-sharing behavior, with the remaining seven having a negative impact. The ISM model also proved that trust and delete/block, reward, and the remaining elements were shallow, deep, and intermediate variables, respectively. Combining the Logit and ISM advantages, these results strengthened the reports on online knowledge-sharing behavior, subsequently obtaining five suggestions for its development. This study is expected to help teachers and online course developers design better digital programs, as well as ensure the accurate decision-making of students in knowledge sharing activities.
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The datasets used and/or analysis during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
We sincerely thank Professor Ying Zhou for inviting us to contribute to this study, and we appreciate the advice she gave when we conceived the study.
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This work is supported by No. YJSCXP202103 from the Innovation Project of Guangxi Graduate Education, China.
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JC conceived and designed the study. JC, YZ and LTL have drafted the work, substantively revised the draft. All authors read and approved the final manuscript.
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Chen, J., Zhou, Y. & Lv, L. Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysis. Educ Inf Technol 28, 741–769 (2023). https://doi.org/10.1007/s10639-022-11173-7
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DOI: https://doi.org/10.1007/s10639-022-11173-7