Chen Huaruo, Liu Fei, Wen Ya, Ling Ling, Gu Xueying
School of Education Science, Nanjing Normal University, Nanjing, China.
Center for Research and Reform in Education, Johns Hopkins University, Baltimore, MA, United States.
Front Psychol. 2021 Jul 15;12:627833. doi: 10.3389/fpsyg.2021.627833. eCollection 2021.
With the outbreak of COVID-19, many offline academic activities have been turned online, and virtual academic communities have been further emphasized. Based on this situation, this study took the Eagly and Chaiken's Heuristic-System Model of Persuasion and the general rules of behavioral decision as a theoretical basis, established a theoretical model of sustainable knowledge sharing willingness in virtual academic communities. Firstly, this study developed the scale of willingness to share sustainable knowledge based on the heuristic system model of persuasion. After analyzing the data of 62 participants, the scale was revised. Secondly, 256 valid data were collected from China, the United States, Singapore, and Indonesia. Finally, the conceptual model and theoretical hypothesis were tested based on the data. The results show that knowledge sharing satisfaction is affected by heuristic factors (knowledge sharing quantity, knowledge source credibility) and system factors (knowledge sharing quality, knowledge sharing usefulness), and has a significant positive correlation with sustainable knowledge sharing willingness.
随着新冠疫情的爆发，许多线下学术活动已转为线上，虚拟学术社区也得到了进一步重视。基于这种情况，本研究以伊格利和柴肯的说服启发式系统模型以及行为决策的一般规则为理论基础，建立了虚拟学术社区中可持续知识共享意愿的理论模型。首先，本研究基于说服启发式系统模型开发了可持续知识共享意愿量表。在分析了62名参与者的数据后，对该量表进行了修订。其次，从中国、美国、新加坡和印度尼西亚收集了256份有效数据。最后，基于这些数据对概念模型和理论假设进行了检验。结果表明，知识共享满意度受启发式因素（知识共享量、知识来源可信度）和系统因素（知识共享质量、知识共享有用性）的影响，且与可持续知识共享意愿呈显著正相关。
