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1.
The purpose of the current study is to identify the user criteria and data-driven features, both textual and non-textual, for assessing the quality of answers posted on social questioning and answering sites (social Q&A) across four different knowledge domains—Science, Technology, Art and Recreation. A comprehensive review of literature on quality assessment of information produced in social contexts was carried out to develop the theoretical framework for the current study. A total of 23 user criteria and 24 data features were proposed and tested with high-quality answers obtained from four social Q&A sites in Stack Exchange. Findings indicate that content-related criteria and user and review features were the most frequently used in quality assessments, while the importance of user criteria and data features was variable across the knowledge domains. In the Technology Q&A site containing mostly self-help questions, the utility class was the most frequently used group of criteria. The popularity of the socio-emotional class was more apparent in discussion-oriented topic categories such as Art and Recreation, where people seek others’ opinions or advice. Users of Art and Recreation Q&A sites in Stack Exchange appear to place more value on answerers’ efforts and time, good attitudes or manners, personal experience, and the same taste. The importance of user features and the emphasis on answerer's expertise on the Science Q&A site was observed. Examining the connection or gap between user quality criteria and data features across the knowledge domains could help to better understand users’ evaluation behaviors for their preferred answers, and identify the potential of social Q&A for user education/intervention in answer quality evaluation. This examination also offers practical guidance for designing more effective social Q&A platforms, considering how to customize community support systems, motivate contributions, and control content quality. 相似文献
2.
《Information processing & management》2020,57(4):102241
People are increasingly searching for information in social Q&A communities, especially through a new form of paid knowledge product, namely, live course. Such course provides a way for users to interact synchronously with content creators online. However, how this knowledge product is accepted and why users pay for it deserve attention from researchers. In this study, a research model was developed based on information foraging theory (IFT) and social information foraging (SIF) theory to analyze users’ information processing and evaluation when making payment decisions. Our research model was validated by collecting subjective and objective data from a Chinese social Q&A community that has been successful in offering live course services. We found that perceived quality of free content, perceived credibility of content creators, and perceived quantity of participants positively influence users’ willingness to pay, and thus, positively affects users’ payment behavior. Unexpectedly, social endorsement negatively moderates the relationship between willingness to pay and payment behavior. This study enhances the theoretical understanding of the drivers of users’ payment for live courses in social Q&A communities. For IS practice, our findings provide unique insights for community managers and content creators on how to operate paid knowledge products appropriately and effectively. 相似文献
3.
【目的/意义】探讨网络问答社区中意见领袖的社会与知识分享行为特征,为问答社区的发展提供改进建
议。【方法/过程】以知乎“旅行”问答话题下活跃用户为研究对象,通过python爬取用户的个人信息,利用数理统计
和社会网络分析对意见领袖的社会及知识分享行为特征展开研究。【结果/结论】研究发现,社会特征是意见领袖开
展知识共享活动的先决条件,网络问答社区的发展离不开社区用户的多元化;意见领袖为问答社区内容生成主力,
知识分享行为广泛分布于意见领袖的信息活动中且其行为影响力突出;中心团体联合促进意见领袖间的知识分
享,领袖群体间知识分享互动频繁。【创新/局限】对于意见领袖的特征分析只建立在“旅行”这一问答话题,样本数
量偏低,后期将会对更多的问答话题进行研究,以期得出更精准的、普适性更强的结论。 相似文献
4.
《Information processing & management》2023,60(3):103321
Social question-and-answer (Q&A) sites have the potential to serve as a useful source of online information based on their content-focused and collaborative nature. Although previous research has examined various attributes of high-quality information on social Q&A sites (e.g., best answers), relatively less attention has been paid to what affects users’ credibility assessments of information in the social Q&A context. The present study developed a social Q&A platform-specific framework for web credibility assessment, including 21 criteria under six types of web credibility, based on a literature analysis and case study of two online Q&A communities, Stack Exchange and Wikipedia Reference Desk. Using the selected sites’ policies and guidelines (n = 46) as the source of evidence, the case study revealed that content-related attributes (e.g., evidence-based, pertinence) were most frequently identified (12 of 21 criteria) as potential cues and heuristics for web credibility assessments of social Q&A sites, followed by author-related (five of 21; e.g., reputation) and design-related (four of 21; e.g., engaging design) factors. Design-related criteria were rarely included in previous models of web credibility on social Q&A or similar peer-knowledge production platforms. However, our findings showing that both Stack Exchange and Wikipedia Reference Desk have policies regarding all four design-related criteria in our framework—engaging design, moderation, design appropriateness, and ease of use—indicate the potential influences of design features on users’ web credibility assessment on social Q&A sites. Some differences emerged between the two cases, such as policies regarding the answerer's credentials or semantic accuracy that are present on Wikipedia Reference Desk but absent on Stack Exchange. Such differences in the sites’ policies reflect how they position themselves as social Q&A communities—Wikipedia, of which Wikipedia Reference Desk is a part, as an encyclopedia, and Stack Exchange as a community-based platform for learning, sharing knowledge, and building careers of users. 相似文献
5.
Yan Yu Jin-Xing Hao Xiao-Ying Dong Mohamed Khalifa 《International Journal of Information Management》2013
Although it is a widely held belief that social capital facilitates knowledge sharing among individuals, there is little research that has deeply investigated the impacts of social capital at different levels on an individual's knowledge sharing behavior. To address this research gap, this study combines a multilevel approach and an optimal network configuration view to investigate the multilevel effects of social capital on individuals’ knowledge sharing in knowledge intensive work teams. This study makes a distinction between the social capital at the team-level and that of social capital at the individual level to examine their cross-level and direct effects on an individual's sharing of explicit and tacit knowledge. A survey involving 343 participants in 47 knowledge-intensive teams was conducted for testing the multilevel model. The results reveal that social capital at both levels jointly influences an individual's explicit and tacit knowledge sharing. Further, when individuals possess a moderate betweenness centrality and the whole team holds a moderate network density, team members’ knowledge sharing can be maximized. These findings offer a more comprehensive and precise understanding of the multilevel impacts of social capital on team members’ knowledge sharing behavior, thus contributing to the social capital theory, as well as knowledge management research and practices. 相似文献
6.
Xiao-Ling Jin Zhongyun Zhou Matthew K.O. Lee Christy M.K. Cheung 《International Journal of Information Management》2013
This study theorized and validated a model of knowledge sharing continuance in a special type of online community, the online question answering (Q&A) community, in which knowledge exchange is reflected mainly by asking and answering specific questions. We created a model that integrated knowledge sharing factors and knowledge self-efficacy into the expectation confirmation theory. The hypotheses derived from this model were empirically validated using an online survey conducted among users of a famous online Q&A community in China, “Yahoo! Answers China”. The results suggested that users’ intention to continue sharing knowledge (i.e., answering questions) was directly influenced by users’ ex-post feelings as consisting of two dimensions: satisfaction, and knowledge self-efficacy. Based on the obtained results, we also found that knowledge self-efficacy and confirmation mediated the relationship between benefits and satisfaction. 相似文献
7.
为探究虚拟品牌社区中用户共创绩效的影响因素,从内外生双视角建立假设模型,同时考虑个体开放度在其中的调节作用;以Threadless虚拟社区作为研究对象,爬取网页数据共计2 130条开展多元回归分析。研究发现,自我学习反向影响共创绩效,社会学习、身份认同和主动施惠正向影响共创绩效;另外,高开放性个体特质在自我学习和社会学习对共创绩效的影响过程中起到强化调节作用。最后基于研究结论,在用户发布创意的有效性、用户之间的创意交互和关系联结、用户个体差异性等方面提出相应的管理启示。 相似文献
8.
【目的/意义】社会化问答社区目前已成为网络环境下用户搜寻和获取知识的重要途径。探析用户知识采
纳行为有助于提升社会化问答社区知识组织与服务能力,对社区的运营管理方面也具有重要的实践意义。【方法/
过程】本文选取知乎作为研究对象,应用扎根理论方法,通过数据资料收集、三级编码等过程,结合认知心理学的相
关理论,构建了社会化问答社区用户知识采纳行为模型。【结果/结论】研究发现：自我认知、平台认知、社会认知三
个维度对用户知识采纳行为具有显著影响,并通过认知有用性、认知易用性两个中介变量和技术、情感因素两个调
节变量分别刺激用户知识采纳的意愿,从而影响知识采纳行为。【创新/局限】从认知视域基于扎根理论的方法探索
社会化问答社区知识采纳行为的影响因素模型,但采集的知乎的样本容量较小,概念模型的信度和效度并未经过
大样本检验。 相似文献
9.
【目的/意义】解析社会化问答社区用户知识交互过程,识别用户交互过程中的关键影响因素,为管理者优
化用户体验,提高社区知识服务水平提供参考。【方法/过程】本文基于社会化问答社区信息生态链模型,利用问卷
调查法和访谈法,从交互主体、交互内容、交互平台以及交互环境四个维度构建了用户知识交互行为影响因素体
系,并运用DEMATEL方法对关键影响因素进行识别。【结果/结论】根据各因素的关联作用分析,表明了体验感知、
社区氛围、自我效能、价值认知、知识质量是社会化问答社区用户知识交互行为的关键影响因素,并据此为社区发
展提出了相关建议。【创新/局限】本文利用 DEMATEL 方法系统全面地分析了社会化问答社区知识交互行为影响
因素间的相互作用,揭示了影响用户知识交互行为的关键影响因素,为社区发展提出了相关建议。但研究数据存
在主观性,且缺乏实例验证。 相似文献
10.
《International Journal of Information Management》2016,36(1):60-72
Although building long-term, successful virtual communities is important, rare studies have examined both in- and extra-role value co-creation behaviors from the perspective of social exchange theory and equity theory. Specially, we incorporate five different online justice perceptions into our model and examine the mediating role of “sense of virtual community” between these perceived online justice antecedents and both in- and extra-role online value co-creation behavior (reflected by knowledge contribution and online community citizenship behaviors, respectively). We empirically examine the model using data from 278 members of virtual communities. The results reveal that perceived online justice leads to value co-creation behavior through sense of virtual community. The findings elicit several implications for theory and practice. 相似文献
11.
平台型企业作为互联网经济时代典型的新组织形态,在促进组织间基于平台的知识活动和价值创造方面优势明显,但从知识治理视角探究平台型企业促进知识共享和价值共创的机制的研究较少。本文在平台情境下分析知识治理对价值共创的影响机制,并探究知识共享在知识治理和价值共创间的中介作用。通过对中国部分平台型企业及其用户的220份问卷数据进行实证检验现,市场型和层级型知识治理对价值共创和知识共享具有积极的影响,社会型知识治理对价值共创和知识发共享的影响不显著;知识共享分别在市场型和层级型知识治理和价值共创的关系中发挥中介作用,在社会型知识治理和价值共创关系中不发挥中介作用。 相似文献
12.
数字共享经济平台价值共创的伦理探析 《科学学研究》2022,40(8):1353-1360
数字共享经济平台作为共享经济的数字载体,随着网络信息与大数据技术的发展已迅速成为多用户价值共创的平台,改变着人们建立经济、道德等价值关系的方式。与此同时平台所涉及隐私安全、大数据杀熟、虚假销售等伦理问题亦成为当下社会的焦点。对数字共享经济平台价值共创进行价值哲学分析,厘清价值共创类型的伦理内涵,确立平台共同体的道德自由空间并建构平台的超规范伦理体系以此促进其利益相关者信任关系的稳定,旨在维护数字共享经济平台价值共创的互信、公正与可持续。 相似文献
13.
This paper investigates whether gamified experiences in a multi-actor service ecosystem can be used to encourage customers’ information exchange behavior. Furthermore, it examines the impact of customers’ knowledge sharing attitude on the relationship between experiential value and customers’ information exchange behavior. Structural equation modeling was used to assess these dynamic relationships and provide a scalable measurement instrument that can be applied to gamified experiences ranging from simple customer-interface interactions, all the way up to multi-actor service ecosystems. Our findings support the notion that managers can use gamification to foster information exchange and thereby value co-creation between customers and employees directly, without necessarily having to change customers attitudes first. The findings also suggest that gamification can be applied successfully in cases of large groups of people with widely varying characteristics, backgrounds, and motivations. Additionally, our research indicates that experiential value is a suitable candidate for a consistent measurement instrument for gamification. This study is the first to apply a holistic experiential value approach to a gamified experience that simultaneously accounts for customers’ interactions with a multisensory physical environment, their personal interactions with employees, and their interactions with other customers. 相似文献
14.
基于开源软件项目发起人个体行为视角,以全球最大的开源软件代码托管平台GitHub上的8053组开源软件项目为研究对象,并随机收集了333位项目发起人问卷数据,探索项目发起人对项目绩效的影响及其作用机理,以及知识共享在二者之间的中介作用.研究发现:(1)开源软件项目发起人作为特殊开发者,其参与动机、个人价值观、个人影响力和创新意识对项目绩效具有显著正向影响,其中前两者比后两者的重要性更大;(2)开源社区内的知识共享对项目绩效起到了部分中介作用,高效的知识共享与清晰的知识流转过程对于项目最终质量起着至关重要的作用.研究表明,开源软件项目发起人对于促进开源社区的知识共享与提高项目绩效起到重要的影响作用,而知识共享在项目发起人与项目绩效之间具有中介效应. 相似文献
15.
【目的/意义】从同侪影响这一视角出发,区分同侪在自然属性和社会属性层面的相似性,进而探究知识共创的发生过程和行为机理,为知识共创理论研究的深化和应用实践的拓展提供了参考价值。【方法/过程】以同侪影响的作用过程为基础,构建知识共创行为模型;将“与癌共舞”平台中的280条肺癌热门讨论帖作为研究对象,获取到7796名用户的19835条评论数据;通过人工编码及标准化处理后,实现数据的相关分析和回归分析。【结果/结论】本研究将同侪互动划分为直线型互动和螺旋型互动两种类型,验证了感知相似性与同侪互动之间所存在的显著正相关关系,这两个变量都能够显著影响知识共创绩效,且受到知识距离的调节作用,在直线型互动中呈现正向调节,螺旋型互动中呈现负向调节。【创新/局限】将患者个人属性从自然和社会两个层面进行区分,依托同侪影响的产生过程,为在线健康社区中用户知识共创行为的研究提供新的视角。然而本研究在形成知识共创的行为机理时,只考虑了用户维度,后续研究可从社区平台、社区环境等更多层面来进行补充。 相似文献
16.
知识共享行为是一种高度情景嵌入性行为，但以往研究鲜有同时关注文化情景与知识情景对知识共享行为的影响机理。本文选取集体主义导向作为文化情境的代表构念，选取知识的隐性程度、感知的知识个体所有权、感知的知识价值作为知识情景的代表构念，探究了集体主义导向(文化情景)、三类知识属性(知识情景)与知识共享行为之间的关系。通过多源信息(自我+他人汇报)问卷调查，采集了1182份有效数据。研究结果表明：集体主义导向促进知识共享行为；知识的隐性程度和感知的知识个体所有权抑制知识共享行为；感知的知识价值与知识共享行为存在“倒U型”关系；感知的知识个体所有权和感知的知识价值正向调节集体主义导向与知识共享行为间关系。 相似文献
17.
知识共享行为是一种高度情景嵌入性行为,但以往研究鲜有同时关注文化情景与知识情景对知识共享行为的影响机理。本文选取集体主义导向作为文化情境的代表构念,选取知识的隐性程度、感知的知识个体所有权、感知的知识价值作为知识情景的代表构念,探究了集体主义导向(文化情景)、三类知识属性(知识情景)与知识共享行为之间的关系。通过多源信息(自我+他人汇报)问卷调查,采集了1182份有效数据。研究结果表明：集体主义导向促进知识共享行为;知识的隐性程度和感知的知识个体所有权抑制知识共享行为;感知的知识价值与知识共享行为存在“倒U型”关系;感知的知识个体所有权和感知的知识价值正向调节集体主义导向与知识共享行为间关系。 相似文献
18.
在价值共创时代,如何实现数字化转型和创新发展成了企业面临的现实问题和发展的必然趋势,与此同时,知识管理水平和知识创新能力进而成了制约企业创新发展的关键因素,顾客已经成为企业在激烈的市场竞争环境下获取优势的重要资源,基于顾企互动和知识共享的价值创造模式将成为企业商业模式创新的重要趋势,顾客知识的共享对加速企业知识创新进程起着重要的推动作用。基于此,文章从顾企互动的视角对顾客知识共享的决策行为进行了分析,并通过演化博弈模型的构建和仿真分析探究了知识共享成本、知识共享收益、知识储备量和收益分配系数等因素对顾客知识共享决策行为的内部影响机制,通过仿真分析得出结论：（1）当知识共享成本提升时,只有当顾客和企业的参与意愿较高时才会促使知识共享行为的发生,且延缓了知识共享产生的进程;（2）当知识共享收益增加时,能够增强顾客参与知识共享的意愿并且能够加速知识共享进程;（3）当顾客和企业的知识储备量存在差异时,这种差异会一定程度上延缓和抑制知识共享进程,相比之下,当顾客所掌握的知识的储备量大于企业的知识储备量时将更不利于知识共享行为的发生;（4）当企业参与知识共享的初始概率较低时,可以采用为企业制定较高的收益分配系数的方式来促进知识共享行为的产生,但是在确保知识共享行为发生的前提下,为企业分配较多的知识共享收益会延缓知识共享行为产生的速度,此时,加速知识共享行为产生的有效策略是为顾客分配较多的共享收益。 相似文献
19.
开放式创新社区充分发挥互联网的平台价值,将时空分散、资源互补、相对独立的知识主体组织起来,通过自发、动态的互动与协作实现多方需求的“一站式”解决。以开放式创新理论为基础、遵循服务主导逻辑,分析开放式创新社区价值共创的主体、资源、情境和过程,构建开放式创新社区价值共创模式的概念框架,包括价值主张、价值创造、价值传递和价值获取等4个核心要素。在此基础上,从构建有效的知识获取机制、知识融合机制、知识共享机制和知识占有机制4个方面,提出保障开放式创新社区价值共创模式的知识治理机制。以期为企业更好地利用群体智慧创造顾客价值提供参考借鉴。 相似文献
20.
从虚拟社区知识共享行为的动因出发,来探索虚拟社区社会资本和个人动机的影响,构建虚拟社区社会资本和个人动机对知识共享影响的理论模型,提出相关假设。对虚拟社区成员进行问卷调查,对得到的293份有效问卷的样本数据,运用LISREL 8.8和SPSS 17.0进行验证性分析,检验了研究假设。实证研究表明,社会资本和个人动机对虚拟社区成员的知识共享行为有显著的正向影响。研究结果对了解虚拟社区知识共享行为,实现基于网络平台的个性化知识管理与服务策略有重要参考意义。 相似文献