面向个性化信息服务的图书馆移动用户行为分析模型设计

总结国内外图书馆移动用户行为的研究现状,为面向个性化信息服务的图书馆移动用户行为分析模型设计提供参考。采用理论研究与模型分析相结合的方法,从数据采集、数据处理与数据应用三方面研究用户行为动作序列和用户行为特征之间的关系。以前端操作行为与后端业务数据库相结合的方式定义和表示图书馆移动用户在iOS App、Android App与Web页面上与产品UI的隐形反馈行为,采集移动用户客户端基础信息字段、用户行为相关字段、配置Flume 3个方面数据,引入时间维度、用户维度、部门维度、资源维度、行为维度、入口渠道6个维度进行数据仓库层面的建模,从用户行为序列预测与用户兴趣引导两步实现数据应用。     

国外反生产行为研究热点与前沿可视化分析

本文以Web of Science数据库中收录的国外反生产行为研究文献作为研究对象,借助可视化分析软件CiteSpace5.0,分别从研究作者及机构、研究热点和研究演进发展3个方面进行分析,以此揭示出该领域的研究现状、特点及发展趋势。研究表明,反生产行为研究正处于发展阶段,近十年反生产行为研究主要可以分四大研究部分：工作绩效、元分析、人格倾向和组织公民行为。     

移动学习用户隐私信息披露行为实证研究

[目的/意义]通过构建移动学习用户隐私信息披露行为影响因素的理论模型,探究移动学习用户隐私行为的影响关系,以提高用户隐私信息披露意愿和对隐私信息的控制能力。[方法/过程]本文通过对隐私信息披露文献的查阅,运用问卷调查和实证研究相结合的方法,从行为态度、主观规范和行为控制3个方面分析了移动学习用户隐私信息披露行为,利用结构方程对提出的假设进行分析验证。[结果/结论]数据研究结果表明,隐私信息披露意愿对隐私信息披露行为有正向影响,感知移动学习收益性、移动学习用户社会影响、隐私控制自我效能和感知移动学习便利性对隐私信息披露意愿呈正向影响,而感知移动学习风险性则对隐私信息披露意愿呈负向影响。本研究能够帮助移动学习平台开发商更好地收集信息,为用户定制个性化的服务。[局限]研究的调查对象覆盖面较窄,对年龄、性别等因素之间的关系缺乏深入地分析。     

信息隐私关注、信任与智能手机用户的个人信息安全行为意向

[目的/意义]信息隐私关注和信任是影响智能手机用户的个人信息安全行为的重要因素,对智能手机用户的信息隐私关注和信任与其个人信息安全行为意向关系的探讨有助于更好地理解智能手机用户的信息安全行为。[方法/过程]本文引入以往经验变量,构建了智能手机用户信息隐私关注、信任与其信息安全行为意向之间的作用模型,通过调查问卷收集数据,并利用SmartPLS2.0进行验证。[结果/结论]研究发现：智能手机用户的信息隐私关注对其信息安全行为意向具有正向作用;用户对智能手机生产商和服务商的信任在信息隐私关注和信息安全行为意向之间起到中介作用;智能手机用户信息安全方面的以往经验对其信息隐私关注、信任和信息安全行为意向起正向作用。     

UTAUT模型在国内IT/IS采纳实证研究中的应用现状分析

[目的/意义]对UTAUT模型在国内IT/IS采纳中的应用现状进行归纳总结,指出UTAUT模型应用中存在的不足、发现可能的发展趋势,以期启发国内应用UTAUT模型进行IT/IS采纳的未来研究。[方法/过程]选用中国知网学术期刊数据库,以UTAUT为检索词进行全文检索,采用文献计量法和内容分析法从研究主题、理论或模型应用方式、调查对象、采纳行为影响因素4个方面对筛选出的实证研究文献进行归纳整理总结。[结果/结论]国内应用UTAUT模型进行IT/IS采纳研究主要围绕互联网+"X"、移动服务领域展开,大部分文献通过扩展UTAUT模型方式,以学生为调查对象借助结构方程模型进行分析,实证研究中萃取的影响因素除UTAUT模型常规变量外,更多关注的是风险、成本、信任。UTAUT模型应用方式主要分为：单一模型、模型扩展、模型组合、模型整合4种方式;按影响因素属性不同可以分为：技术因素、经济因素、个人因素、环境因素和质量因素;按影响因素的作用原理分为：直接因素、间接因素、两栖性因素、调节变量。最后,对未来研究提出一些建议。     

体育公众人物隐私权保护制度重构之路径——从权力冲突视角出发

体育公众人物的个人隐私具有公众的合理兴趣及与公共利益相关的特征,在实践中通常与新闻自由权和公众知情权发生冲突,域外法律规定进行一定程度的限制,来满足公众知情权和新闻自由需要,而我国法律缺乏对体育公众人物的隐私权进行限制的原则、范围等常态化规定,以致经常出现以满足公众的合理兴趣或社会公共利益之名,而行使侵犯隐私权的现象,这对体育公众人物的隐私权保护极为不利。在对相关概念进行法理考量的基础上,分析了我国体育公众人物隐私权的特征、受侵犯的原因和途径,并提出我国体育公众人物隐私权保护的法律规范构建路径。     

Teaching empathic concern and altruism in the smartphone age

Numerous studies show empathic concern promotes altruistic motivation and prosocial behavior. Here, we discuss empathic concern, its relation to altruistic motivation, and how empathic concern is invoked in experimental studies. We do this with an eye toward applying laboratory techniques in the classroom, and everyday life, to foster empathic concern and altruistic responding. This goes beyond teaching about empathic concern to setting up conditions that help people experience this psychological state, and its benefits, firsthand. Smartphone-based ecological momentary interventions (EMIs) can help us do this by raising self- and other-awareness, and by promoting empathic states and practices in daily life. While smartphones often pull us away from direct personal interaction, we explore ways of using these devices to redirect our attention to those around us. We end by suggesting that these ways of helping people regularly experience and act upon empathic concern in daily life might help nurture a compassionate disposition.     

The role of consequences of moral action in maximizing moral elevation

Moral elevation is described as a state of positive emotion that includes uplifting feelings, positive views of humanity and a desire to be a better person. Numerous empirical studies have demonstrated that elevation has powerful effects on people’s moral intention and behavior. The next step is to investigate how to maximize the emotion of elevation. According to the evolution of moral elevation research and the theory of moral disgust, we hypothesized that the consequences of moral action would influence moral elevation. The results of two studies in the present research (Study 1: N = 122, average age = 36.96 years; Study 2: N = 232, average age = 23.93 years) demonstrated that moral acts with good consequences were more effective in inducing moral elevation than moral acts with bad consequences. The implications for research and practice are discussed.     

Differences in mobile health app use: A source of new digital inequalities?

This article provides a more differentiated understanding of mobile health consumers, and considers whether health app use may contribute to new digital inequalities. It focuses on factors associated with mobile health app use, and identifies which factors explain the use of different types of health apps. Data from a large representative sample of the Dutch population (N = 1,079) show that mobile health app users were generally younger, higher educated, and had higher levels of e-health literacy skills than non-users. Interestingly, different usage patterns were found for specific types of health apps. Theory and policy implications are discussed.     

Trolling in online communities: A practice-based theoretical perspective

The literature on trolling has viewed trolling as discrete instances of transgression undertaken by antagonistic individuals. We identify three main issues with current theorizations: diffuse definitions of “trolling,” blurred boundaries between trolling and other online anti-social behaviors, and the context dependency of trolling. To address these unresolved issues, we adopt a practice-based theoretical approach. Informed by this approach, we analyze trolling behaviors not as products of individuals' attitudes, values, and decisions, but rather as behaviors embedded within and occurring as part of social practices. Specifically, we conduct a practice-based theoretical analysis in a multi-site exploratory study involving online archival research and in-depth interviews with online community members. Based on this analysis, we propose that trolling be conceived as a constellation of three social practices: learning, assimilating, and transgressing. Also, we find that practices of trolling transgression can have a dual pro-social and anti-social impact in online communities.