图书情报工作

图书情报工作 >

2020 , Vol. 64 >Issue 13: 111 - 119

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.13.015

情报研究

移动社交媒体倦怠行为的影响因素与作用路径研究

  • 张艳丰 ,
  • 刘亚丽 ,
  • 彭丽徽 ,
  • 毛太田 ,
  • 王羽西
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  • 湘潭大学公共管理学院 湘潭 411105
张艳丰(ORCDI:0000-0001-9374-2449),讲师,博士,硕士生导师,E-mail:zyfzzia@163.com;刘亚丽(ORCID:0000-0002-2405-4084),硕士研究生;彭丽徽(ORCID:0000-0003-3245-3904),讲师,博士,硕士生导师;毛太田(ORCID:0000-0001-6514-680X),教授,博士,博士生导师;王羽西(ORCID:0000-0003-0919-9266),硕士研究生。

收稿日期: 2019-12-04

  修回日期: 2020-02-15

  网络出版日期: 2020-07-05

基金资助

本文系国家社会科学基金一般项目"大数据环境下政务信息资源优化配置与服务模式创新研究"（项目编号：15BTQ051）研究成果之一。

收起

Research on Influencing Factors and Action Path of Mobile Social Media Fatigue Behavior

  • Zhang Yanfeng ,
  • Liu Yali ,
  • Peng Lihui ,
  • Mao Taitian ,
  • Wang Yuxi
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  • School of Public Managemeng, Xiangtan University, Xiangtan 411105

Received date: 2019-12-04

  Revised date: 2020-02-15

  Online published: 2020-07-05

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摘要

[目的/意义] 探究引起用户移动社交媒体倦怠行为的影响因素，主要分析原因要素和结果要素，厘清各级要素间的关联关系，为学术研究者和社交媒体运营商提供理论与实践指导。[方法/过程] 基于扎根理论，结合线上问卷记录、一对一访谈、小组座谈以及线上社区问答4种方式收集资料，使用开放式编码、主轴式编码和选择性编码对移动社交媒体倦怠行为的影响因素进行整合分析与关系梳理，对引起社交媒体倦怠行为的压力要素、状态要素和结果要素进行因子整合与关系凝练。[结果/结论] 阐明移动社交媒体倦怠行为的影响因素与作用路径，发现本研究构建的社交媒体倦怠行为影响因素关联路径符合S-S-O理论范式，并能够通过S-S-O理论进行完美解释。

关键词： 移动社交媒体倦怠; 用户行为; 扎根理论; 影响因素

本文引用格式

张艳丰 , 刘亚丽 , 彭丽徽 , 毛太田 , 王羽西 . 移动社交媒体倦怠行为的影响因素与作用路径研究[J]. 图书情报工作, 2020 , 64(13) : 111 -119 . DOI: 10.13266/j.issn.0252-3116.2020.13.015

Abstract

[Purpose/significance] To explore the influencing factors that cause users' mobile social media fatigue behavior, analyze the cause factors and result factors, clarify the relationship between the elements at all levels, and provide theoretical and practical guidance for academic researchers and social media operators.[Method/process] Based on the grounded theory, combining the four methods of online questionnaire recording, one-to-one interviews, group discussions and online community questions and answers, open coding, spindle coding and selective coding were used to influence the factors affecting burnout on mobile social media. Factor integration and relationship condensation were carried out on the state and outcome factors of the stress factors that cause social media burnout.[Result/conclusion] The influencing factors and action paths of mobile social media fatigue behavior were clarified, and it was found that the related path of social media fatigue behavior influencing factors constructed in this study conforms to the S-S-O theoretical paradigm and can be perfectly explained by S-S-O theory.

Key words： Mobile social media fatigue; User behavior; grounded theory; Influencing factors

参考文献

[1] 张艳丰.信息行为嬗变视阈下移动用户社交媒体倦怠行为机理研究[J].情报资料工作,2020,41(1):87-93.
[2] BRGHT L F, KLEISER S B, GRAU S L. Too much Facebook? an exploratory examination of social media fatigue[J]. Computers in human behavior,2015,44(3):148-155.
[3] OGHUMA A P, LIBAQUE-SAENZ C F, WONG S F, et al. An expectation confirmation model of continuance intention to use mobile instant messaging[J]. Telematics information, 2016, 33(1):34-47.
[4] CHOI S B, LIM M S. Effects of social and technology overload on psychological well-being in young South Korean adults:the mediatory role of social network service addiction[J]. Computers in human behavior,2016,61(8):245-254.
[5] 张艳丰,彭丽徽,刘金承,等.新媒体环境下移动社交媒体倦怠用户画像实证研究——基于SSO理论的因果关系视角[J].情报学报,2019,38(10):1092-1101.
[6] DHIR A, YOSSATORN Y, KAUR P, et al. Online social media fatigue and psychological wellbeing-a study of compulsive use, fear of missing out, fatigue, anxiety and depression[J]. International journal of information management,2018,40(6):141-152.
[7] SWAR B, HAMEED T, REYCHAV I. Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search[J]. Computers in human behavior,2017,70(5):416-425.
[8] HILL R, MORAN N. Social marketing meets interactive media:Lessons for the advertising community[J]. International journal of advertising,2011,30(5):815-838.
[9] YOA J, CAO X. The balancing mechanism of social networking overuse and rational usage[J]. Computers in human behavior,2017,75(10):415-422.
[10] CHEN W, LEE K H. Sharing, liking, commenting, and distressed? The pathway between Facebook interaction and psychological distress[J]. Cyberpsychology, behavior, and social networking,2013,16(10):728-734.
[11] BUCHER E, FIESELER C, SUPHAN A. The stress potential of social media in the workplace[J]. Information, communication & society,2013,31(10):1639-1667.
[12] MAIER C, LAUMER S, ECKHARDT A, et al. Giving too much social support:social overload on social networking sites[J]. European journal of information systems,2015,24(5):447-464.
[13] ZHOU T, LI H. Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern[J]. Computers in human behavior,2014,37(8):283-289.
[14] IFINEDO P. Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites:perspectives from the Americas[J]. International journal of information management,2016,36(6):192-206.
[15] LEE C C, CHOU S T, HUANG Y R. A Study on personality traits and social media fatigue-example of Facebook users[J]. Lectures notes on information theory,2014,2(3):249-253.
[16] LIN K M. Predicting asian undergraduates' intention to continue using social network services from negative perspectives[J]. Behaviour & information technology,2015,34(9):882-892.
[17] SHIN J, SHIN M. To be connected or not to be connected? mobile messenger overload, fatigue, and mobile shunning[J]. Cyberpsychology, behavior, and social networking,2016,19(10):579-586.
[18] TROMHOLT M. The Facebook experiment:quitting facebook leads to higher levels of well-being[J]. Cyberpsychology, behavior, and social networking,2016,19(11):661-666.
[19] LUQMAN A, CAO X, ALI A. et al. Do you get exhausted from too much socializing?:empirical investigation of Facebook discontinues usage intentions based on SOR paradigm[J]. Computers in human behavior,2017,70(5):544-555.
[20] YOUNGJI S, MARILYN J P, JIN Y. Overcoming stakeholder social media fatigue:a trialogue approach[J]. Journal of business strategy, 2019,40(6):40-48.
[21] 刘鲁川,李旭,张冰倩.基于扎根理论的社交媒体用户倦怠与消极使用研究[J].情报理论与实践,2017,40(12):100-106,51.
[22] 彭丽徽,李贺,张艳丰,等.用户隐私安全对移动社交媒体倦怠行为的影响因素研究——基于隐私计算理论的CAC研究范式[J].情报科学,2018,36(9):96-102.
[23] 李旭,刘鲁川,张冰倩.认知负荷视角下社交媒体用户倦怠及消极使用行为研究——以微信为例[J].图书馆论坛,2018,38(11):94-106.
[24] 张艳丰,彭丽徽,洪闯,等.因果要素关联视域下社交媒体倦怠用户画像模型构建[J].图书情报工作,2019,63(14):94-100.
[25] 代宝,罗蕊,续杨晓雪.社交媒体倦怠:含义、前因及后果[J].现代情报,2019,39(9):142-150.
[26] 季忠洋,李北伟,朱婧祎,等.情感体验和感知控制双重视角下社交媒体用户倦怠行为机理研究[J].情报理论与实践,2019,42(4):129-135.
[27] 李宏,李微.社交媒体倦怠研究述评与展望[J].情报科学,2017,35(9):172-176.
[28] 牛静,常明芝.社交媒体使用中的社会交往压力源与不持续使用意向研究[J].新闻与传播评论,2018,71(6):5-19.
[29] 郭佳,曹芬芳.倦怠视角下社交媒体用户不持续使用意愿研究[J].情报科学,2018,36(9):77-81.
[30] 熊慧,郭倩.朋友圈中辍行为的影响因素研究[J].新闻界,2019(10):36-45.
[31] 张瑞,赵栋祥,唐旭丽,等.社交媒体用户倦怠行为演化博弈及仿真分析[J].现代情报,2019,39(11):46-54,68.
[32] GLASER B G, STRAUSS A L. The discovery of grounded theory:strategy of qualitative research[J]. Nursing research,1967,3(4):377-380.
[33] ELLIS D. Modelling the information-seeking patterns of academic researchers:a grounded theory approach[J]. Library quarterly,1993,63(4):469-486.
[34] SOTO S. Using grounded theory analysis to study the information-seeking behaviour of dental professionals[J]. Information research news,1992,3(1):2-12.
[35] PACE S. A grounded theory of the flow experiences of Web users[J]. International journal of human-computer studies,2000,60(3):327-363.
[36] MANSOURIANY F N. The invisible Web:an empirical study of cognitive invisibility[J]. Journal of documentation,2006,62(5):584-596.
[37] BOTSCHEN G, THELEN E M, PIETERS R. Using means-end structures for benefit segmentation:an application to services[J]. European journal of marketing,1999,33(2):38-58.
[38] HSIAO K L. Compulsive mobile application usage and technostress:the role of personality traits[J]. Online information review,2017,41(2):272-295.
[39] AYYAGARI R, GROVER V, PURVIS R. Technostress:technological antecedents and implications[J]. MIS quarterly,2011,35(4):831-858.
[40] 张敏,孟蝶,张艳.S-O-R分析框架下的强关系社交媒体用户中辍行为的形成机理——一项基于扎根理论的探索性研究[J].情报理论与实践,2019,42(7):80-85,112.
[41] OBERST U, WEGMANN E, STODT B, et al. Negative consequences from heavy social networking in adolescents:the mediating role of fear of missing out[J]. Journal of adolescence,2017,55(2):51-60.
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