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| An Evaluation of the Knowledge Exchange Efficiency of an Academic Virtual Community Based on a Three-Stage DEA Model |
| Yang Ruixian1,2, Huang Shurui1, Yu Zhengjie1 |
1.School of Information Management, Zhengzhou University, Zhengzhou 450001
2.Zhengzhou Data Science Research Center, Zhengzhou 450001 |
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Abstract The purpose of this paper is to analyze the influence of environmental factors on the efficiency of knowledge exchange in academic virtual communities based on an analysis of the impact of exogenous factors. It also provides a reference for further objective evaluation of the knowledge exchange efficiency of academic virtual communities. The method is based on a three-stage Data Envelopment Analysis (DEA) model and uses the organic communication, first principles, micron and nano, and financial investment sections of the Little Woodworm Forum as examples and reports the changes in the efficiency of community knowledge exchange. The study shows that after excluding the influence of exogenous factors, the knowledge exchange efficiency of the academic virtual community improved; however, the decision making unit (DMU) was still not effective. The results for the first and third stage show that the knowledge exchange efficiency of the first-principles section was the highest. The influence of environmental variables on the knowledge exchange efficiency of academic virtual communities such as the number of loose funds, the total number of users’ posts, the participation of community managers, and the quality of community members had a positive effect on the knowledge exchange efficiency of such communities. Factors such as the number of online users had a negative impact on the efficiency of community knowledge exchange.
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Received: 04 February 2020
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