Continuous knowledge sharing by active users, who are highly active in answering questions, is crucial to the sustenance of social question-and-answer (Q&A) sites. The purpose of this paper is to examine such knowledge sharing considering reason-based elaborate decision and habit-based automated cognitive processes.,To verify the research hypotheses, survey data on subjective intentions and web-crawled data on objective behavior are utilized. The sample size is 337 with the response rate of 27.2 percent. Negative binomial and hierarchical linear regressions are used given the skewed distribution of the dependent variable (i.e. the number of answers).,Both elaborate decision (linking satisfaction, intentions and continuance behavior) and automated cognitive processes (linking past and continuance behavior) are significant and substitutable.,By measuring both subjective intentions and objective behavior, it verifies a detailed mechanism linking continuance intentions, past behavior and continuous knowledge sharing. The significant influence of automated cognitive processes implies that online knowledge sharing is habitual for active users.,Understanding that online knowledge sharing is habitual is imperative to maintaining continuous knowledge sharing by active users. Knowledge sharing trends should be monitored to check if the frequency of sharing decreases. Social Q&A sites should intervene to restore knowledge sharing behavior through personalized incentives.,This is the first study utilizing both subjective intentions and objective behavior data in the context of online knowledge sharing. It also introduces habit-based automated cognitive processes to this context. This approach extends the current understanding of continuous online knowledge sharing behavior.

中文翻译：

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持续在线知识共享的双重途径：重复行为视角

积极回答问题的活跃用户的持续知识共享对于维持社交问答网站（Q＆A）至关重要。本文的目的是考虑基于理性的精细决策和基于习惯的自动认知过程来检查这种知识共享。为了验证研究假设，利用了关于主观意图的调查数据和关于客观行为的网络爬行数据。样本数量为337，回复率为27.2％。考虑到因变量的偏态分布（即答案的数量），使用了负二项式和层次线性回归。精心设计的决策（将满意度，意图和持续行为联系在一起）和自动认知过程（过去和持续行为之间的联系）都非常重要并且可以替代。，通过测量主观意图和客观行为，它验证了连接持续意图，过去行为和持续知识共享的详细机制。自动化认知过程的重大影响意味着，在线知识共享是活跃用户的习惯。了解在线知识共享是习惯的，对于保持活跃用户的连续知识共享至关重要。应该监测知识共享的趋势，以检查共享的频率是否减少。社交问答站点应通过个性化的激励措施进行干预，以恢复知识共享行为。这是首次在在线知识共享的背景下利用主观意图和客观行为数据进行的研究。它还在这种情况下引入了基于习惯的自动认知过程。