共查询到20条相似文献，搜索用时 15 毫秒
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【 目的/意义】研究从用户群体的角度出发,依据用户特征对社区用户进行群体划分,以了解不同用户群体的
主题差异,从而更加全面清晰的了解社区主题,更好的为社区用户推荐资源。【方法/过程】研究利用社会网络分析
和Topsis算法对用户群体进行划分,再利用LDA模型分别对不同用户进行主题挖掘,最后采用谱聚类实现主题优
化。【结果/结论】科学网情报学社区的核心用户与一般用户群体主题有相同的部分,也存在差异,核心用户群体的
主题专指性较强,一般用户群体的主题较为广泛。基于虚拟学术社区用户群体主题挖掘模型,可以更加全面展示
社区用户关注的主题,更好地为社区用户推荐资源。【创新/局限】研究从用户群体的视角出发,提出了虚拟学术社
区用户群体主题挖掘模型,更好的为社区用户推荐资源,但本研究在数据量、主题模型以及社会网络分析指标的选
取等方面还需要拓展与延伸。 相似文献
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【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。 相似文献
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For over a decade, researchers have devoted much effort to construct theoretical models, such as the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) for explaining and predicting user behavior in IS acceptance and continuance. Another model, the Cognitive Model (COG), was proposed for continuance behavior; it combines some of the variables used in both TAM and ECM. This study applied the technique of structured equation modeling with multiple group analysis to compare the TAM, ECM, and COG models. Results indicate that TAM, ECM, and COG have quite different assumptions about the underlying constructs that dictate user behavior and thus have different explanatory powers. The six constructs in the three models were synthesized to propose a new Technology Continuance Theory (TCT). A major contribution of TCT is that it combines two central constructs: attitude and satisfaction into one continuance model, and has applicability for users at different stages of the adoption life cycle, i.e., initial, short-term and long-term users. The TCT represents a substantial improvement over the TAM, ECM and COG models in terms of both breadth of applicability and explanatory power. 相似文献
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同侪影响对用户贡献行为的作用研究———基于网络客观大数据的分析 《科学学研究》2021,39(12):2294-2304
本文将同侪影响引入在线创新社区的用户行为研究中,从广度和深度两方面考察同侪影响对用户贡献行为的影响,并分析感知收益的中介作用。研究以小米社区MIUI功能与讨论区的创意集市板块为对象构建S-O-R模型,采用6567名用户发布的8830条创意、5.26万条评论和收到的103.36万条评论数据,利用Mplus8.1分析检验,结果发现：同侪影响广度与深度均有利于促进用户贡献行为,综合收益在同侪影响广度、深度与用户贡献行为间起正向中介效应,情感收益仅在同侪影响广度、深度与主动贡献行为间起正向中介效应,而认知收益则在同侪影响深度与反应贡献行为间起负向中介效应。研究拓展了在线网络情境下知识管理与社会学领域的交叉研究,并为在线创新社区社交网络和知识管理提供重要启示。 相似文献
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Since Davis et al. originally formulated the Technology Acceptance Model (TAM), research on information technology (IT) acceptance has yielded many extended and competing models. Empirical investigation of these models, however, has not consistently supported the mediating role of attitude in predicting user IT adoption, leading some researchers to claim a minimal role of attitude. In this study, we call for attention to the role of attitude in explaining technology acceptance behavior. In developing the research model, we draw on both the concept of attitude strength and previous technology acceptance studies. Empirical examination of our research hypotheses indicates that attitude toward system use fully mediates the effects of salient beliefs on behavioral intention when the attitude is strong, whereas it partially mediates the effects when the attitude is weak. Our findings provide additional insights in predicting technology acceptance behavior. 相似文献
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This study examined the development of individual social capital in a distributed learning community. Feld's theory of focused choice predicts that the formation of network ties is constrained by contextual factors that function as foci of activities. In our research, we examined how group assignment and location could function as such foci to influence the development of individual social capital in a distributed learning community. Given that networks with different content flows may possess different properties, we examined two different types of networks—task-related instrumental networks and non-task-related expressive networks. A longitudinal research design was used to evaluate the evolution of networks over time. Hypotheses were tested using a sample of 32 students enrolled in a distributed learning class. The results show strong support for Feld's theory. While serving as foci of activities to organize social interactions, both group assignment and geographic separation can also function to fragment a learning community. 相似文献
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【目的/意义】随着互联网与智能手机的普及,移动图书馆逐渐成为信息获取的重要来源之一。本研究旨在
探讨影响移动图书馆用户社区服务中用户参与的因素问题。【方法/过程】本研究构建了基于使用和满足理论
（U&G）的模型来解释用户满足和用户参与之间的因果关系。通过在线调查和验证性分析对理论模型进行了检验。
结合调查和数据分析,本文验证了相关的研究假设。【结果/结论】结果表明,享乐满足、技术满足、实用满足和社会
满足对用户参与均有显著影响。【创新/局限】研究发现用户参与已经成为移动图书馆用户社区发展中的关键问题,
用户通过移动图书馆构建虚拟用户社区融入该群体的社会服务。研究通过影响移动图书馆用户因素的分析为移
动图书馆用户社区建设提供了政策启示及理论支撑。 相似文献
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虚拟社区用户忠诚对于虚拟社区的长期可持续性发展尤为重要。本研究以知识分享行为（知识共享数量和质量）为中介变量,探讨社会资本（信任、社会联结性、共同愿景）和外部动机（互惠动机、声誉动机）对社区忠诚的作用机理,并通过结构方程模型进行验证。研究结果表明,信任和外部动机通过知识共享数量和质量对社区忠诚有显著正向影响,社会联结性仅通过知识共享数量对社区忠诚有显著影响;信任和外部动机对知识共享数量和质量有显著正向影响,社会联结性仅显著影响知识共享数量,而共同愿景对知识共享数量和质量均无显著影响;知识共享行为对社区忠诚有显著正向影响,并且知识共享质量对社区忠诚的影响更显著。该结论为企业重视虚拟社区用户知识分享行为从而吸引和留住虚拟社区用户提供了决策支持,为企业更好的运营虚拟社区并利用虚拟社区获得可持续发展提供了重要启示。 相似文献
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近年来国外技术接受模型研究综述 总被引：4，自引：0，他引：4
技术接受模型是解释和预测人们对信息技术接受程度的基础理论。本文主要对近年来国外技术接受的研究进行系统性总结分析。首先总结了技术接受模型的不同应用领域和不同用户群体对技术接受的影响;接着综述了技术接受模型中关键变量之间的关系,对感知有用性和感知易用性的测量,以及影响感知有用性和感知易用性的外部因素。最后指出了现有研究的不足以及今后研究的方向。 相似文献
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《Information processing & management》2020,57(6):102353
In this paper, we focus on the problem of discovering internally connected communities in event-based social networks (EBSNs) and propose a community detection method by utilizing social influences between users. Different from traditional social network, EBSNs contain different types of entities and links, and users in EBSNs have more complex behaviours. This leads to poor performance of the traditional social influence computation method in EBSNs. Therefore, to quantify the pairwise social influence accurately in EBSNs, we first propose to compute two types of social influences, i.e., structure-based social influence and behaviour-based social influence, by utilizing the online social network structure and offline social behaviours of users. In particular, based on the specific features of EBSNs, the similarities of user preference on three aspects (i.e., topics, regions and organizers) are utilized to measure the behaviour-based social influence. Then, we obtain the unified pairwise social influence by combining these two types of social influences through a weight function. Next, we present a social influence based community detection algorithm which is referred to as SICD. In SICD, inspired by the nonlinear feature learning ability of the autoencoder, we first devise a neighborhood based deep autoencoder algorithm to obtain nonlinear community-oriented latent representations of users, and then utilize the k-means algorithm for community detection. Experimental results conducted on real-world dataset show the effectiveness of our proposed algorithm. 相似文献
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Kewen Wu Yuxiang Zhao Qinghua Zhu Xiaojie Tan Hua ZhengAuthor vitae 《International Journal of Information Management》2011,31(6):572-581
The technology acceptance model (TAM) has proven to be one of the most powerful theories to explain user's technology adoption. Among many external variables incorporated into TAM, trust is considered to be an important factor that influences the user's online behavior, especially in the e-commerce context. This study conducts a meta-analysis based on the previous TAM studies in an attempt to make well-grounded statements on the role of trust. Furthermore, the paper examines those TAM studies by considering moderating effects of subject type (students or non-students) and context type (commercial or non-commercial). Results indicate a significant influence of trust on TAM constructs. Moderating effects are found for most pair-wise relationships. The findings yield implications for both researchers and service providers. 相似文献
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This research analyzes network effects in technology acceptance. The hypothesis is that the size of the user network affects technology acceptance. Even today, empirical measurement of network effects is challenging and there is a lack of experimental evidence. In order to investigate and measure the relationship between network size (number of adopters) and user acceptance, technology acceptance research needs to broaden its scope and approaches. To overcome this limitation we reproduce a particular type of technology acceptance process in a laboratory experiment, controlling for user network size and testing its influence on user perceptions and, ultimately, on acceptance decisions. We measured user perceptions and analyzed the data using consolidated and tested technology acceptance models. The results confirm our hypothesis, showing a significant effect of user network size on user perceptions. Finally, we discuss the theoretical and managerial implications of our approach and findings. 相似文献
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《Research Policy》2022,51(2):104416
Do informal social ties connecting inventors across distant places promote knowledge flows between them? To measure informal ties, we use a new and direct index of social connectedness of regions based on aggregate Facebook friendships. We use a well-established identification strategy that relies on matching inventor citations with citations from examiners. Moreover, we isolate the specific effect of informal connections, above and beyond formal professional ties (co-inventor networks) and geographic proximity. We identify a significant and robust effect of informal ties on patent citations. Further, we find that the effect of geographic proximity on knowledge flows is entirely explained by informal social ties and professional networks. We also show that the effect of informal social ties on knowledge flows is greater for new entrepreneurs or ‘garage inventors’, for older or ‘forgotten’ patents, and for flows across distant technology fields. It has also become increasingly important over the last two decades. 相似文献