选择的力量:研究选择机制如何影响在线社区参与决策

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jung-Kuei Hsieh , Yu-Hui Fang , Chien Hsiang Liao
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引用次数: 0

摘要

网络社区在我们生活中的重要性毋庸置疑。这些社区的形式多种多样,包括社交网站、品牌社区和虚拟平台,在这些平台上,个人通过数字方式进行联系和互动。本文认为,用户对网络社区的看法和信念是由多种选择机制形成的,这些机制对与社区参与相关的决策过程产生了重大影响。本文由两项研究支持,其中第二项研究建立在第一项研究的基础上。研究 1 通过借鉴网络理论、社会资本理论和动机理论,回顾性地探讨了选择机制。通过主成分分析,这些机制被识别并归类为社区选择机制。在研究 2 中,重点转向研究这些机制是否会导致社区参与行为的差异。这些行为包括继续参与的意愿、知识共享和电子口碑(e-WOM)。通过比较不同社区的特点,结果发现每种选择机制在影响社区参与度方面都具有不同程度的重要性。例如,内容满足是选择专业社区和旅游社区的关键机制,但对于游戏社区而言,内容满足则缺乏重要的预测作用。这些发现不仅加深了我们对社区选择机制的理解,还为企业优化决策过程提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The power of choice: Examining how selection mechanisms shape decision-making in online community engagement

The significance of online communities in our lives is indisputable. These communities take various forms, including social networking sites, brand communities, and virtual platforms, where individuals digitally connect and interact. This article suggests that users' perceptions and beliefs about online communities are shaped by multiple selection mechanisms, which significantly influence decision-making processes related to community participation. This article is supported by two studies, with the second study building upon the first. Study 1 retrospectively explores selection mechanisms by drawing from network theory, social capital theory, and motivation theory. Through principal component analysis, these mechanisms are identified and categorized as community selection mechanisms. In Study 2, the focus shifts to examining whether these mechanisms lead to differences in community engagement behaviors. These behaviors encompass intentions to continue participating, knowledge sharing, and electronic word-of-mouth (e-WOM). By comparing various communities based on their characteristics, the results reveal that each selection mechanism holds varying degrees of importance in influencing community engagement. For instance, content gratification is a key mechanism for the selection of professional and travel communities, but it lacks significance as a predictor for the game community. These findings not only advance our understanding of community selection mechanisms but also provides valuable insights for businesses looking to optimize their decision-making processes.

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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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