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社会资本对科学家科研绩效的影响研究 《科学学研究》2022,40(2):288-296
本文从结构维、认知维和关系维出发,研究科研合作网络中的社会资本对科学家科研绩效的影响。我们从web of science上收集了化学领域26.74万篇论文,基于这些论文作者合作数据构建了科学家合作网络,并从上述三个方面对其中的社会资本进行了测度。研究结果显示,认知维社会资本和关系维社会资本在一定程度上对科研绩效具有显著的促进作用,而结构维社会资本对科研人员的科研绩效具有显著的非线性关系。本文为建立积极有效的科研合作网络,高效利用合作网络中的社会资本为科学家更好地开展科研活动提供了一定借鉴。 相似文献
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企业社会资本的测量研究 总被引：11，自引：2，他引：11
社会资本的测量一直是其理论研究的薄弱环节,随着该概念拓展至管理学研究领域,企业社会资本的测量亦成为深化相关研究的关键。在现有研究基础上,对于企业内外部六类联系,以结构维、关系维和认知维等3个维度构建企业社会资本测量模型。验证性因子分析结果表明,该测量模型具有较好的构建效度。 相似文献
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社会资本为研究异质知识流动提供新的思路,但目前缺乏社会资本对跨学科合作知识整合作用机制的研究。借鉴团队认同理论,分析跨学科研究团队社会资本的三个维度---结构资本、关系资本和认知资本对知识整合的作用机制。以团队认同为中介变量,任务互依为调节变量,构建有调节的中介模型。基于C9某研究型高校46个跨学科研究团队的346名成员的问卷调查的结构方程模型分析发现：社会资本的三个维度均显著正向影响团队认同,团队认同显著正向影响知识整合;团队认同完全中介结构资本和关系资本与知识整合的关系,部分中介认知资本与知识整合的关系;任务互依正向调节团队认同的中介作用。本研究为社会资本和知识整合研究做出了贡献并指导跨学科合作实践。 相似文献
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社会资本由于能够反映团队内部成员之间的互动关系和资源的流动方向为研究团队创造力提供了新的思路和方法,但现有文献缺乏社会资本对跨学科研究团队创造力作用机制的研究.借鉴知识管理理论和组织支持理论,将知识整合和领导支持引入跨学科研究团队创造力的研究中,分析社会资本的三个维度—结构社会资本、关系社会资本和认知社会资本对跨学科研... 相似文献
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以社会资本理论为基础,探究认知、结构和关系社会资本的相互关系,以及这三个维度的社会资本对渠道关系绩效的影响作用机理,并通过对195家制造商的问卷调查获取数据进行实证研究.结果表明:社会资本对企业渠道合作中获得的关系绩效存在倒U型影响,过低或过高的社会资本都不利于关系绩效的提高.同时,关系社会资本在认知社会资本和关系绩效的倒U型关系中存在完全中介作用,而在结构社会资本和关系绩效的倒U型关系中存在部分中介作用. 相似文献
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在界定企业社会资本内涵的基础上,对企业结构维社会资本、关系维社会资本及认知维社会资本间的互动关系进行剖析,从创新观念、创新资源及整合能力3个方面探究企业3个维度社会资本对企业技术创新的影响机理,并提出社会资本视角下企业技术创新能力提升的路径,为企业利用社会资本增强自身创新能力提供参考和建议。 相似文献
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[目的/意义]为了探索突发事件中网络社会资本对受众认知偏差的影响机制,以便有效实现对突发事件舆论偏差进行监控与治理。[方法/过程]以桥接型资本与黏合型资本为自变量,认知偏差为因变量,结构性级联与关系性级联为中介变量构建研究理论模型,通过问卷调查法对相关数据进行采集,采用结构方程模型方法,并借助AMOS22.0及STATA统计软件对数据进行处理和分析。[结果/结论]研究发现:a.桥接型社会资本及黏合型资本通过关系性级联和结构性级联中介作用对受众认知偏差产生显著正向影响,且桥接型资本通过两中介变量对受众认知偏差的影响,大于黏合型资本通过两中介变量对受众认知偏差的影响。b.在个体层面,用户投射性认同在关系性级联对受众认知偏差影响路径中存在显著正向调节效应;在群体层面,群体协同性在结构性级联对受众认知偏差影响路径中存在显著正向调节效应。c.网络社会资本对受众认知偏差的影响效应,在性别、年龄及学历人口统计学上存在显著性差异。最后,对研究结果进行分析和讨论,并指出了研究价值及未来展望。 相似文献
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[目的/意义]深入理解社会资本对知识社会认可的影响，拓展知识问答社区用户关系与知识社会认可的相关研究。[方法/过程]构建知识问答社区的知识采纳者合作关系网络，结合实证分析发掘知识采纳者的社会资本、社交关系网络与知识社会认可三者之间的内在联系。[结果/结论]知识采纳者的信任关系资本会负向影响知识社会认可，互惠和认同关系资本，以及认知资本会正向影响知识社会认可。聚类系数和结构洞约束系数等网络位置指标对知识社会认可具有消极影响。同时，问题热度和知识流行度影响对知识社会认可会产生积极作用。 相似文献
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The advent of social commerce has resulted in a new business model for e-commerce. Although studies on this business model have increased over time, they have paid less attention to its core business model: consumer-generated social influence on sales on a social commerce site. Therefore, in this paper, we examine the effect on sales of social sharing, such as Facebook “likes” and Twitter tweets, which generate social influence, using data from major social commerce companies. We find that consumer-generated social referrals regarding deals significantly boost sales in social commerce. When we examine deals involved in national sales, this finding holds only for Facebook but not for tweets. These findings have the implication for managers that not all social referrals are meaningful in increasing sales for their business. 相似文献
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《Information processing & management》2020,57(3):102213
The ability of detecting infections at an early stage in clinical environments is an important clinical problem. When an infection is not diagnosed on time, it may not only affect the health of the infected patient, but also spread and infect other people.In this paper, we propose the development of a clinical decision support system (CDSS) for diagnosing infections using clinical signals from patients. This system is designed to be able to cope with small amounts of data (a single record per day and patient), making it convenient for environments under strict constraints (such as low resources or bad connectivity). Additionally, we have incorporated data from external sources, in order to enrich the quality of the models. In particular, we have considered social data arising from web searches, retrieved from Google Trends, as well as weather data.Clinical data was recorded between April 2018 and July 2019 in two nursing homes in Spain and one in Dominican Republic, where nurses had also tested patients for infections. Feature extraction was carried out by aggregating measurements from days before to the infection (lead) and after the infection was detected (lag), and these features were used to train supervised learning models. The best model attained using only clinical data attains an AUROC of 0.734. When data is enriched with external sources, this performance increases up to an AUROC of 0.798. In the case of prognosis (i.e., only measurements before the manual annotation of the infection are used) an AUROC of 0.719 is obtained using only clinical data, and up to 0.757 when combining additional sources of data.In conclusion, the CDSS provides a good recognition performance given the small amounts of data available. This performance can be increased by including social data, which are readily available, and can therefore be useful in scenarios where clinical data acquisition is expensive or unfeasible. 相似文献
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Mackenzie S 《Public understanding of science (Bristol, England)》2011,20(4):491-505
HIV/AIDS conspiracy theories constitute a loosely grouped set of meanings that share the notion of secret collusion among allied parties. This paper traces one woman's etiological narrative of HIV/AIDS. Such embodied experience and cultural understanding when placed against the backdrop of current thinking on the topic in the United States builds a new framework for understanding the emergence and circulation of HIV/AIDS conspiracy theories as "counter-narratives" employed by individuals and publics in the face of the AIDS pandemic. Such counter-narrative creates a rhetorical space for challenges to power through the articulation of oppositional ideas about dominant scientific knowledge. Without a critical exploration of HIV/AIDS conspiracy theories that examines their emergence and effects as a form of discourse circulating in the public domain, public health advocates will not be able to trace and respond to these narratives' impact on HIV prevention efforts or consider their relevance for other emerging infectious diseases. 相似文献
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Rana Duncan-Daston Maude Hunter-Sloan Elise Fullmer 《Ethics and Information Technology》2013,15(1):35-43
The ethical implications of the explosion of social media outlets for social work education are explored in this paper. Given that social work education has a dual focus, both of educating students and of socializing practitioners into the profession, the issue of the blurring between what is social and what is professional gains particular salience for both educators and students. Recommendations for educators to ethically address the need to maintain a consistent professional presence online and to avoid potentially harmful dual relationships with students are presented. These recommendations include: abstain from using social media or use only a static professional profile; use only university protected sites to promote collaboration with students in the classroom including all students to avoid any appearance of impropriety; use social media with the utmost discretion mindful of all the risks by creating a very select circle of friends, separating one’s personal site from one’s professional site; develop policies which include not friending any individual student or any current student and inform students about the policies. 相似文献
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Raffaele Rodogno 《Ethics and Information Technology》2016,18(4):241-242