基于典型微信公众号的科普计量研究

在科普信息化不断推进的当下,为探究我国微信科普的发展现状,从科学计量的视角对我国典型科普微信公众号进行量化研究,通过对其科普信息在推送频次、传播内容和传播效果等方面的特点分析,探究社交媒体时代科普信息在微信平台的传播路径。研究表明,微信公众号在科普信息推送方面有较高的活跃度,且不同公众号有各自的运营模式;在科普内容方面信息更加多元化,除注重知识的科普外,还传播文化、新闻等类型的相关科普信息;在科普效果方面,受众关注度与参与性逐步提高,整体积极向好,但还有待提高。     

美国自然语言处理技术专利情报分析及启示——基于1999-2018年专利数据

自然语言处理技术广泛应用于人工智能的各个领域,具有重要的产业价值。以1999—2018年该领域的美国专利数据为分析对象,从专利申请和授权趋势、专利技术、专利相关主体、诉讼及运营等四个方面进行专利情报剖析,美国自然语言处理产业的研发态势、热点技术分布、主要创新者、竞争环境等情况得以展现。总结美国的经验,我国应培育以企业为主导的创新格局、加快科研成果转化、加强在美国的专利布局以及注重专业人才培养。     

基于信息贡献率的评价指标筛选与赋权方法

针对现有因子分析及相关分析两种方法在指标筛选与赋权方面有待完善之处,提出一种基于信息贡献率的评价指标筛选与赋权方法。该方法首先利用因子方差贡献率和因子载荷构建评价指标的信息贡献率,以此反映该指标解释原始指标集全部信息的比例,然后在现有相关分析法中引入病态指数测度指标集的信息重叠水平,进而实现评价指标的系统筛选与赋权。本研究认为评价指标的信息贡献率越大,其解释原始指标集信息的比例越大,因此该指标越应予以保留,其权重亦应越大。此外,研究亦发现因子分析法易误删信息解释能力强的指标,相关分析法筛选指标易不充分,而本文方法解决了这些问题。     

基于客体特质模式识别的R&D人员绩效竞优评价研究

为适应经济社会和技术环境的快速变化,依据竞优理论,从客体特质模式识别的角度对RD人员的绩效进行分析和评价。首先,基于对RD人员不同绩效价值的认同,从体现RD人员个体优势的角度对其特质进行识别;其次,通过聚类分析的方法对RD人员的个性特质进行共性提炼,得到RD人员特质的不同模式;然后,从兼顾RD人员数量和信息一致性的角度,计算各模式的权重值,从而获得各RD人员的绩效评价值;最后以15名RD人员为例,对所提方法的可行性和有效性进行验证。     

Antecedents predicting health information seeking: A systematic review and meta-analysis

Numerous reasons regarding why people should seek health information exist, but empirical evidence has indicated that factors that influence health information seeking (HIS) differ according to the context. To make suggestions based on explicit and judicious use of the best available evidence, a meta-analytic review was undertaken. In the present review, 16 electronic databases were searched up to July 2019, empirical results of 71 primary studies that met inclusion criteria were coded, and seven antecedents that commonly affect HIS behavior were examined. We obtained 204 correlation coefficients from 90 independent subsets with a total of 74,171 respondents. The results indicated that self-efficacy (ES_r = 0.254), health literacy (ES_r = 0.222), availability (ES_r = 0.412), credibility (ES_r = 0.308), emotional response (ES_r = 0.090), and subjective norms (ES_r = 0.443) substantially influenced individuals’ HIS, and subjective norms was the most influential factor. Individuals’ behavior usually aligns with the opinions of other critical individuals in their lives, and this phenomenon was observed in the present study of the HIS context. In addition, eight variables were examined as potential moderators (i.e., roles of samples, gender, average age, topic, information channel, type of publication, data collecting method, and sampling method); statistically significant effects on some of the aggregated correlations were noted for all of these variables.     

If you Build it,They Won’t Come: What Motivates Employees to Create and Share Tagged Content: A Theoretical Model and Empirical Validation

The purpose of this paper is to investigate factors influencing employees’ knowledge-sharing behavior on social tagging supported systems. Using the strong theoretical background of the well-known technology acceptance model (TAM), this paper proposes and empirically validates a model that fits the social and technical nature of social tagging tools within the public sector. The analyses in this paper were based on data collected from a large survey of more than 480 respondents working for two public organizations in the United States. The findings demonstrate a significant impact of the role of social presence in encouraging employees to create and share content. Further, there is a strong relationship between the benefits employees receive from using tagging tools and their creation and sharing of tagged content. Specifically, the following factors showed a significant impact on employees’ creation and sharing behavior, specifically their attitudes towards and intentions to create and share tags: perceived ease of use, perceived usefulness, social presence, and pro-sharing norms. For researchers, the paper offers an opportunity to further study knowledge-sharing behavior regarding social media technologies. The findings should motivate practitioners to inject these tools with a social aspect so that employees are encouraged to share content.     

The role of social media in the engagement and information processes of social CRM

This study furthers investigation into exactly how Social CRM (S-CRM) is different from traditional CRM, and models the interrelationships between its capabilities. It is underpinned in dynamic capabilities theory, to explain how social media, as a resource all organizations use, can lead to differing performance outcomes. It is underpinned in seminal research into traditional CRM, but which does not cater for the disruptive nature of social media. We outline how S-CRM is a second-order dynamic capability consistng of a set of first-order integrative dynamic capabiliies that, when properly interrelated, lead to performance outcomes. We particularly model the role of S-CRM front- and back-office technology capabilities, customer engagement initiatives, and social information processes in driving customer relationship performance. Findings show that S-CRM is different from traditional CRM in a range of ways in the front- and back-offices, and provide a framework for researcher and managers in information systems and marketing to operate at strategic and tactical levels within S-CRM, while being congisant of both.     

"双一流"背景下基于学科评价的图书馆信息资源优化配置探讨

[目的/意义]旨在为高校图书馆优化配置信息资源采购资金提供参考。[方法/过程]依据一流学科评估要求建立学科的评估指标体系,应用熵权法并结合TOPSIS模型得到各学科资金配置权重,根据资金的预算约束条件构建线性规划优化模型,借助MATLAB方法建立资金预算约束条件下信息资源采购资金最优配置方案,并通过仿真算例验证该方案的有效性。[结果/结论]该方案能有效提高信息资源建设资金的投入效益。     

高校图书馆微信公众号用户消极使用行为影响因素研究

[目的/意义]探究高校图书馆微信公众号用户消极使用行为的影响因素,为改进服务质量、优化使用体验和提升用户活跃度等提供有价值的意见和建议。[方法/过程]借鉴信息过载、信息系统成功模型及媒介系统依赖理论的相关研究成果,构建图书馆微信公众平台用户消极使用行为模型,并通过问卷调查和结构方程模型进行验证。[结果/结论]信息过载正向影响用户不满意度,信息质量、服务质量及依赖均负向影响用户不满意度,不满意度正向影响用户的忽略和取关行为,依赖负向影响用户的忽略行为和取关行为;不满意度对忽略行为影响程度大于取关行为,而依赖对取关行为的影响程度大于忽略行为。     

高校教学档案信息安全管理策略

为适应当前社会的飞速发展,全国高校都开始了扩招政策,但是高校在扩大自身规模的同时,却忽略了教学档案信息安全管理的重要性。教学档案信息记录着全校师生的教学实践和生活轨迹,因而加强其信息安全管理、提出行之有效的管理策略是十分必要的。