专题:新媒体环境下信息消费行为机理和服务创新研究

信息生态视角下老年用户群体微信使用行为影响因素研究

  • 李嘉兴 ,
  • 王晰巍 ,
  • 李师萌 ,
  • 张柳
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  • 1. 吉林大学管理学院 长春 130022;
    2. 吉林大学大数据管理研究中心 长春 130022
李嘉兴(ORCID:0000-0001-6830-8413),博士研究生;王晰巍(ORCID:0000-0002-5850-0126),大数据管理研究中心主任,教授,博士生导师,通讯作者,E-mail:wxw_mail@163.com;李师萌(ORCID:0000-0001-8317-1099),硕士研究生;张柳(ORCID:0000-0001-8688-4959),硕士研究生。

收稿日期: 2017-05-08

  修回日期: 2017-07-04

  网络出版日期: 2017-08-05

基金资助

本文系国家自然科学基金面上项目"信息生态视角下新媒体信息消费行为机理及服务模式创新研究"(项目编号:71673108)和"吉林大学高峰学科(群)建设项目"研究成果之一。

Research on Influencing Factors of the Elderly WeChat Users' Willingness

  • Li Jiaxing ,
  • Wang Xiwei ,
  • Li Shimeng ,
  • Zhang Liu
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  • 1. School of Management, Jilin University, Changchun 130022;
    2. Big Data Management Research Center, Jilin University, Changchun 130022

Received date: 2017-05-08

  Revised date: 2017-07-04

  Online published: 2017-08-05

摘要

[目的/意义]随着中国逐步进入老龄化社会,越来越多的老年人使用移动社交软件来丰富自己的生活,微信成为我国老年用户群体使用最多的社交软件,研究和分析老年用户群体的微信使用行为成为信息行为分析的新问题。[方法/过程]以信息、信息人、信息环境和信息技术四者和谐的信息生态视角,在UTAUT模型的基础上建立老年用户群体的微信使用意愿影响因素研究模型,以结构方程作为研究方法对数据结果展开实证分析。[结果/结论]数据结果显示信息、信息人、信息环境、信息技术对老年微信用户使用意愿产生正向影响;信息人因素对老年微信用户使用意愿影响最大,其次是信息环境和信息技术,影响最小的是信息因素。本研究对了解老年人信息行为特征,制定中国老龄化社会发展中针对老年人的相关社会引导政策具有一定的理论和实践意义。

本文引用格式

李嘉兴 , 王晰巍 , 李师萌 , 张柳 . 信息生态视角下老年用户群体微信使用行为影响因素研究[J]. 图书情报工作, 2017 , 61(15) : 25 -33 . DOI: 10.13266/j.issn.0252-3116.2017.15.003

Abstract

[Purpose/significance] As China has been entering the aging society, the elderly began to use mobile social software to enrich their lives. WeChat has become the most popular social software for them, and it is a new issue to analyze their using behaviors. [Method/process] From the perspective of harmonious information ecology with four elements of information, information man, information environment and information technology, and based on the UTAUT model, this paper establishes the research model of the influencing factors of elderly WeChat users' willingness, and uses the structural equation to make a practical analysis on the data. [Result/conclusion] The results show that:the four elements all have the positive impact on the elderly WeChat users' willingness; information man has the greatest impact, followed by the information environment and information technology, then the information. The study is of practical significance to understand the characteristics of the information behaviors of the elderly and to formulate the relevant social guidance policies for the elderly in the development of China's aging society.

参考文献

[1] 2016年最新《微信影响力报告》[EB/OL].[2016-11-01].https://sanwen8.cn/p/154WHco.html.
[2] 2016年中国人口老龄化现状分析及发展趋势预测[EB/OL].[2016-10-13]. http://mt.sohu.com/20161013/n470181664.shtml.
[3] 互联网与社交网络赋能报告[EB/OL].[2017-03-27].http://js.ifeng.com/a/20161227/5271435_0.shtml.
[4] BILGIHAN A,BARREDA A,OKUMUS F, et al.Consumer perception of knowledge-sharing in travel-related online social networks[J]. Tourism management,2015,52(2):287-296.
[5] KUJUR F, SINGH S. Engaging customers through online participation in social networking sites[J]. Asia Pacific management review,2017,22(1):16-24.
[6] BENSON V, SARIDAKIS G, TENNAKOON H.Purpose of social networking use and victimisation:are there any differences between university students and those not in HE?[J].Computers in human behavior,2015,51(10):867-872.
[7] 陈娟,钟雨露,邓胜利.移动社交平台用户体验的影响因素分析与实证——以微信为例[J].情报理论与实践,2016(1):95-99.
[8] 许翠萍.移动SNS:寒冬里的春天[J].通讯世界,2009(1):66-73.
[9] CHAKRABORTY R, VISHIK C, RAO R.Privacy preserving actions of older adults on social media:exploring the behavior of opting out of information sharing[J]. Decision support systems,2013,55(4):948-956.
[10] SITTI S, NUNTACHOMPOO S. Attitudes towards the use of ICT training curriculum for Thai elderly people[J]. Procedia-social and behavioral sciences,2013,103(11):161-164.
[11] HORTON F W. Information ecology[J].Journal of systems management,1978(9):32-36.
[12] 陈曙.信息生态的失调与平衡[J].情报资料工作,1995(4):11-14.
[13] 陈曙.信息生态研究[J].图书与情报,1996(2):12-19.
[14] 王晰巍,靖继鹏,刘明彦.电子商务中的信息生态模型构建实证研究[J].图书情报工作, 2009, 53(22):128-132.
[15] VENKATES V,DAVIS F D.A theoretical extension of the technology acceptance model:for longitudinal field studies[J].Management science,2003,46(2):186-201.
[16] FELISCUZO L T S, HIMANG C M. Library periodical indexing software evaluation using unified theory of acceptance and use of technology[J]. Procedia-socialand behavioral sciences,2011,25(11):104-114.
[17] DWIVEDI Y K, SHAREEF M A, SIMINTIRAS A C, et al.A generalised adoption model for services:across-country comparison of mobile health (m-health)[J].Government information quarterly,2016,33(1):174-187.
[18] HOWARD R, RESTREPO L, CHANG C Y. Addressing individual perceptions:an application of the unified theory of acceptance and use of technology to building information modeling[J]. International journal of project management,2017,35(2):107-120.
[19] SHIN S I, LEE K Y, YANG S B.How do uncertainty reduction strategies influence social networking site fan page visiting? Examining the role of uncertainty reduction strategies, loyalty and satisfaction in continuous visiting behavior[J].Telematics and informatics,2016,34(5):449-462.
[20] HE J M, HU M N, SHI M G, et al. Research on the measure method of complaint theme influence on online social network[J]. Expert systems with applications,2014,41(13):6039-6046.
[21] CHUNG N, NAMB K, KOO C. Examining information sharing in social networking communities:applying theories of social capital and attachment[J].Telematics and informatics,2015,33(1):77-91.
[22] SHANG S C, WU Y L, SIE Y J. Generating consumer resonance for purchase intention on social network sites[J]. Computers in human behavior,2017,69(4):18-28.
[23] VOŠNER H B, BOBEK S, KOKOL P, et al. Attitudes of active older Internet users towards online social networking[J]. Computers in human behavior,2016,55(2):230-241.
[24] MOUAKKET S. Factors influencing continuance intention to use social network sites:the Facebook case[J]. Computers in human behavior,2015,53(12):102-110.
[25] ROCK A, BARRINGTON C, ABDOULAYI S, et al.Social networks, social participation, and health among youth living in extreme poverty in rural Malawi[J]. Socialscience & medicine,2016,170(12):55-62.
[26] SHMARGAD Y, WATTS J K M. When online visibility deters social interaction:the case of digital gifts[J]. Journal of interactive marketing,2016,36(11):1-14.
[27] HAYNES D, BAWDEN D, ROBINSON L.A regulatory model for personal data on social networking services in the UK[J].International journal of information management,2016,36(6):872-882.
[28] YIN F S, LIU M L, LIN C P. Forecasting the continuance intention of socialnetworking sites:assessing privacy risk and usefulness of technology[J]. Technological forecasting &social change,2015,99(10):265-272.
[29] SEOL S, LEE H, YU J, et al. Continuance usage of corporate SNS pages:a communicative ecology perspective[J]. Information & management,2016,53(6):740-751.
[30] HSU C H, CHEN M C, KIKUCHI K, et al. Elucidating the determinants of purchase intention toward social shopping sites:a comparative study of Taiwan and Japan[J]. Telematics and informatics,2016,34(4):1-12.
[31] GOOL E V, OUYTSEL J V, PONNET K, et al. To share or not to share? Adolescents' self-disclosure about peer relationships on Facebook:an application of the prototype willingness model[J]. Computers in human behavior,2015,44(3):230-239.
[32] JAFARKARIMI H, SAADATDOOST R, SIM A T H, et al. Behavioral intention in social networking sites ethical dilemmas:an extended model based on theory of planned behavior[J]. Computers in human behavior,2016,62(9):545-561.
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