PurposeThis study aims to investigate the influencing factors underlying academic digital hoarding behavior (ADHB) among undergraduate students, which provides theoretical guidance for optimizing undergraduate students' personal academic information management practices.Design/methodology/approachBased on the grounded theory, this study employed a qualitative exploratory approach and collected data through semi-structured interviews. The data were analyzed by open coding, axial coding and selective coding to identify the main influencing factors of undergraduate students' ADHB.FindingsThis study identifies the internal and external influencing factors of undergraduate students' ADHB. Specifically, internal factors include personal characteristic factors (personality, values, digital literacy and lifestyle) and personal psychological factors (perception, emotion and motivation), whereas external factors include digital academic information factors (quality characteristic and quantity characteristic) and environmental factors (task situation, technological condition and social influence).Originality/valueThis study advances scholarly understanding of individuals' hoarding behavior by investigating the drivers of undergraduate students' ADHB. It enriches research on digital hoarding behavior and personal information management.

Social comparison on social media has become a pervasive phenomenon. Prior studies mainly examined the effects of social comparison on users' cognitive and affective responses. The present study aims to uncover the influencing mechanism of social comparison on social media on users' behavioural responses. Based on the stressor-strain-outcome (S-S-O) model, this study proposes a research model to investigate the effects of social media users' social comparison on their behavioural responses (i.e., discontinuance and information avoidance) through the mediating roles of negative emotions (i.e., envy and fatigue). The model is tested using 353 valid data from WeChat users in China. Results show that social comparison on social media is a significant driver of envy and fatigue, and the impact of social comparison on envy is greater than that on fatigue. In addition, envy and fatigue have strong effects on social media users' discontinuance and information avoidance. This study theoretically and empirically explains the negative consequences of social comparison, advancing our understanding of the dark side of social media use and expanding the relevant research.

Purpose This study aims to investigate the antecedents and outcomes of excessive use of personal social media at work. The prevalence of personal social media in the work environment can easily lead to excessive use and negative consequences. Understanding the predictive factors and negative consequences of employees' excessive use of personal social media at work is important to develop their appropriate use of social media and improve their job performance. Design/methodology/approach Based on dual-system theory and the person-environment fit model, this study develops a research model to examine the effect of habit and self-regulation on excessive use of personal social media at work and that of the outcomes of excessive use on employee job performance through strain. This study conducts a questionnaire survey on 408 employees to test the research model and hypotheses empirically. Findings Results suggest that the imbalance between habit and self-regulation drives excessive personal social media use of employees at work. Furthermore, excessive use of personal social media has a strong impact on employee strain, which can significantly decrease job performance. Originality/value First, this study considers excessive use of personal social media at work as a result of two different cognitive systems, that is, an automatic system and a controlled system, thereby extending the dual-system theory to explain excessive use of personal social media in the work context. Second, unlike previous studies that focused on the outcomes or explored the antecedents of excessive social media use at work respectively, the study employs the person-environment fit model and examines the systematic influence of excessive social media use at work from a broad perspective by linking its antecedents and outcomes.

[目的/意义]探索社交媒体用户信息规避行为的动机.[方法/过程]对23位微信用户进行半结构化访谈,运用扎根理论方法对访谈数据先后进行开放式编码、主轴编码和选择性编码,从中提炼出31个初始概念、13个范畴和4个主范畴,揭示出社交媒体用户的信息规避动机及其与信息规避策略间的关系.[结果/结论]社交媒体用户的信息规避动机包括认知性动机(减轻认知负荷、保持认知聚焦、避免认知失调、避免额外支出)、情绪性动机(避免消极情绪、保持积极心境、避免情绪恶化)和社会性动机(逃避社会支持、回避社会交互、避免社会比较、遵守社会规范).上述动机既能各自独立驱动社交媒体用户采取忽略信息策略或屏蔽信源策略来规避某些信息,也能彼此联合起来共同驱动社交媒体用户的信息规避行为.[创新/局限]文章的创新点在于利用扎根理论方法系统揭示微信用户的信息规避动机,深化对社交媒体用户信息规避行为的认识;不足在于样本局限于微信青年用户群体,方法上属于探索性研究.

This paper uncovered the psychological impacts of fear of missing out（FOMO）on social media users by reviewing the existing literature about FOMO systematically.Results showed that FOMO has negative effects on social media users’ life satisfaction, self-esteem, and mindful attention, and has positive impact on rumination.Moreove, FOMO can exert positive effects on social media users’ anxiety, depression, stress, boredom, loneliness, and social media fatigue.

通过系统分析国内外有关被动性社交媒体使用的研究成果,揭示被动性社交媒体使用对青少年用户的心理影响.结果显示,被动性社交媒体使用对青少年和大学生用户的心理影响主要有认知性影响(如自我概念清晰性、自尊)、情绪性影响(如抑郁、焦虑、妒忌、孤独)和主观幸福感(如生活满意度)等.建议未来的研究者采用更多样的研究方法(如纵向研究法、扎根理论方法等),针对更多种类的社交媒体(如新兴的社交短视频)以及进一步细分的被动性使用形式展开研究,更加深入地探讨被动性社交媒体使用对青少年和大学生用户的心理性、行为性和社会性影响后果.

本研究旨在系统揭示社交媒体用户信息回避行为的影响因素,从而为研究该主题的学者的未来研究工作提供便利,同时也为相关组织的实践活动提供理论指导以减少个体用户的信息回避从而提高信息传播效果.利用系统综述方法对国内外有关社交媒体用户的广告回避、新闻回避和其他类型信息的回避行为研究成果的系统梳理,归纳总结出社交媒体用户信息回避行为的主要影响因素.社交媒体用户的信息回避行为主要受信息因素(信息质量、信息数量、信息表现形式等)、用户因素(认知、情感、兴趣、态度、行为等)和环境因素(社交媒体的特征、社会影响等)的影响.

本文通过对国内外有关社交媒体过度使用的研究成果进行系统分析,总结了社交媒体过度使用的含义、影响因素及其对用户产生的影响后果.已有研究显示,社交媒体过度使用的影响因素主要包括用户的人格、情绪和动机等内在心理因素,以及社交媒体的技术特征和社会规范等外在环境因素;社交媒体过度使用的影响后果主要包括生理性影响、心理性影响和行为性影响.

PurposeGrounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.Design/methodology/approach/methodology/approachA quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).FindingsPerceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.Originality/valueThe literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

According to the stimulus–organism–response (S–O–R) paradigm, this study aims to understand how interactivity affects SNS users’ loyalty through user experience of presence and flow. Data collected from 242 respondents was analyzed with structural equation modeling (SEM). The results show that machine interactivity affects telepresence and flow, person interactivity affects social presence and flow, social presence affects flow and flow further affects SNS users’ loyalty. In addition, telepresence has a significant effect on social presence.

Purpose The problematic use of social media progressively worsens among a large proportion of users. However, the theory-driven investigation into social media addiction behavior remains far from adequate. Among the countable information system studies on the dark side of social media, the focus lies on users' subjective feelings and perceived value. The technical features of the social media platform have been ignored. Accordingly, this study explores the formation of social media addiction considering the perspectives of users and social media per se on the basis of extended motivational framework and attachment theory. Design/methodology/approach This study investigates the formation of social media addiction with particular focus on WeChat. A field survey with 505 subjects of WeChat users was conducted to investigate the research model. Findings Results demonstrate that social media addiction is determined by individuals' emotional and functional attachment to the platform. These attachments are in turn influenced by motivational (perceived enjoyment and social interaction) and technical (informational support, system quality and personalization) factors. Originality/value First, this study explains the underlying mechanism of how users develop social media addiction. Second, it highlights the importance of users' motivations and emotional dependence at this point. It also focuses on the technical system of the platform that plays a key role in the formation of addictive usage behavior. Third, it extends attachment theory to the context of social media addictive behavior.

[目的/意义]为了在系统了解国内外关于社交媒体用户信息过载研究现状的基础上,为未来的研究指明方向并为企业基于社交媒体的营销实践提供指导.[方法/过程]本文从社交媒体用户信息过载的影响因素及其影响后果两方面对相关文献予以系统分析.[结果/结论]研究发现,社交媒体的系统特征因素、 信息特征因素和用户的心理性因素、 行为性因素和社会性因素是导致社交媒体用户感知信息过载的主要因素;信息过载会导致用户出现倦怠、 情绪枯竭、 不满意等消极情绪,并引起他们的不持续使用或转移行为、 信息回避行为等.

目的 探讨护士的错失焦虑、智能手机依赖与工作沉浸现状及其相互关系,为针对性干预提供参考.方法 采用错失焦虑量表、智能手机依赖量表简版和工作沉浸量表对231名内科护士进行调查.结果 护士的错失焦虑评分(2.86±0.71)分,智能手机依赖(2.96±0.66)分,工作沉浸评分(2.81±0.67)分;护士错失焦虑与智能手机依赖呈正相关、与工作沉浸呈负相关(均P＜0.01);智能手机依赖与工作沉浸呈负相关(P＜0.01);回归分析结果表明,护士的错失焦虑是智能手机依赖的预测因素(P＜0.01),而智能手机依赖是工作沉浸的预测因素(P＜0.01).结论 护士的错失焦虑水平正向影响智能手机依赖程度,智能手机依赖继而负向影响工作沉浸.减轻错失焦虑是减少内科护士的智能手机依赖和提高其工作沉浸体验的重要途径.

工作沉浸是一种以专注投入、工作享受感和内在工作动机为特征的工作中的短时间的高峰体验。目前,国内关于工作沉浸的研究主要围绕概念的含义、前因及后果三方面展开。工作沉浸的前因包括个体因素（人格与价值观、动机与态度、认知与情感）、工作因素（工作要求与工作资源）以及环境因素（领导行为与方式、群体环境与人际关系、组织氛围与组织变革）;工作沉浸的后果主要有心理性影响后果（认知性影响、情绪性影响、态度性影响）和行为性影响后果（工作绩效、创新行为）。未来国内学者还可以从研究对象和研究方法的多元化、概念内涵的明晰化以及更多前因及后果变量的验证等方面推进工作沉浸的研究。

[目的/意义]把握国内外关于社交媒体倦怠的研究现状和发现可能的研究机会.[方法/过程]从社交媒体倦怠的含义、 前因和后果三方面对相关文献予以系统分析.[结果/结论]社交媒体倦怠主要从情感体验、 行为表现和两者的综合3个视角来定义;社交媒体倦怠的前因主要包括社交媒体相关因素(系统特征因素、信息特征因素)和用户相关因素(心理性因素、 行为性因素和社会性因素);社交媒体倦怠的后果主要表现为影响用户的心理(不满意等)和行为(社交媒体不持续使用/转移行为、 消极使用行为等).

社交网站中的品牌(粉丝)主页已成为众多企业开展品牌建设的重要舞台.研究影响用户参与品牌(粉丝)主页的主要因素,对于把握社交网站用户的使用行为规律和指导企业吸引和激励用户参与品牌建设具有重要意义.本文运用文献研究法对国外有关社交网站品牌(粉丝)主页用户参与行为的46篇实证研究文献予以分析,系统地揭示了影响品牌(粉丝)主页用户初始参与意愿、实际参与强度和持续参与意愿的主要因素.总体而言,影响因素可分为内在因素和外在因素两大类,前者主要包括用户的动机因素、认知因素和态度因素;后者则主要包括社会因素和技术因素.

[Purpose/significance]This paper aims at finding the influencing factors of social media users' discontinuance and switching behavior. [Method/process]The existing 35 empirical literatures about social media discontinuance and switching behavior were analyzed systematically from two perspectives of theoretical basis and variables in research models. [Result/conclusion]The study found that the influencing factors of social media discontinuance intention included users' cognitive, affective and attitudinal factors, and technological factors of social media and social factors. In addition, the influencing factors of social media switching intention were classified into push factors, pull factors and mooring factors.

[目的/意义]本研究旨在发现用户采纳和持续使用微信意愿的影响因素.[方法/过程]利用Webster&Watson提出的IS用户行为研究文献综述方法,对CNKI中关于微信用户采纳和持续使用行为的实证研究文献进行系统分析.[结果/结论]影响微信用户采纳意愿的因素主要包括用户的人格特质、需要和动机、认知因素、态度和体验因素、社会因素和技术因素;影响微信用户持续使用意愿的因素主要包括用户的认知因素、态度和体验因素、社会因素和技术因素.

本文从信息贡献和信息获取两方面对当前有关SNS用户信息行为的研究成果予以了系统分析,查找SNS用户信息行为的影响因素.结果发现:①SNS用户的信息行为存在显著的性别差异;②SNS用户的人格特质对其多种信息行为均有显著影响;③SNS用户的动机、认知、态度等内在因素和信任、文化等外在社会性因素对信息行为也有不同的影响;④SNS用户的评论、转贴、浏览和问答行为以及技术因素和信息因素的影响作用等方面还有待进一步研究.

论文基于社会认知理论和大五人格模型,探讨了社交网站(SNS)用户的人格特质和认知因素以及SNS的信任氖围对用户在网站中的内容生成行为的影响作用.研究表明,大五人格中只有外向性和尽责性显著影响SNS用户的内容生成行为;此外,结果期望和信任氛围对SNS用户的内容生成行为也有显著影响.