情报科学 ›› 2021, Vol. 39 ›› Issue (7): 108-115.

• 业务研究 • 上一篇    下一篇

虚拟品牌社区中信息交互对用户参与行为的影响研究

  

  • 出版日期:2021-07-16 发布日期:2021-07-20

  • Online:2021-07-16 Published:2021-07-20

摘要: 【目的/意义】虚拟品牌社区日渐成为企业和用户之间的重要沟通渠道,对于企业而言,如何引导用户助力
社区发展至关重要。基于自我决定理论探寻用户参与行为的影响因素及形成机制。【方法/过程】运用自我决定理
论,构建信息交互对用户参与行为(奉献行为、浏览行为)的影响机制模型,并探寻用户承诺(情感承诺、算计承诺)
在其中的中介作用。利用结构方程模型对收集的386份有效问卷进行分析。【结果/结论】研究结果表明,信息交互
能够有效促进用户参与行为,如奉献行为及浏览行为;情感承诺在信息交互与用户奉献行为间具有中介效应,算计
承诺在信息交互与用户浏览行为间具有中介效应;与算计承诺相比,情感承诺对奉献行为具有较强影响;与情感承
诺相比,算计承诺对浏览行为具有较强影响。【创新/局限】本文基于动机视角探寻信息交互对用户不同参与行为的
影响及作用机制,但尚未对其它影响因素如社会影响及社区类型等开展研究。

Abstract: 【Purpose/significance】The virtual brand community has become an important communication channel between enterprises
and users. How to guide users to help with community development is critical to enterprises. To explore the influence factors and for?
mation mechanisms of user engagement behavior based on self-determination theory.【Method/process】Use the theory of self-deter?
mination, construct a model of influence mechanism of information interaction on user engagement behavior (dedication behavior,
browsing behavior), and explore the mediating role of user commitments (emotional commitments, calculative commitment). Analyze
the 386 valid questionnaires with structure equation model.【Result/conclusion】The results illustrate that information interaction can
effectively promote user engagement behavior, such as contribution behavior and browsing behavior. In addition, our research find that
information interaction will influence contribution behavior through emotional commitment and browsing behavior will be affected by
calculative commitment from information interaction. Overall, compared with the calculative commitment, emotional commitment has
strong impact on contribution behavior. Nonetheless, in contrast to emotional commitment, calculative commitment will produce strong
impact on browsing behavior.【Innovation/limitation】From the motivation perspective, this article explores the differentiation impact
and mechanism of information interaction on different users engagement behaviors, but there is no research on other influencing fac?
tors, such as social influence and community types.