情报研究

社会化问答社区用户声誉赋予行为动机研究

  • 许一明 ,
  • 李贺 ,
  • 解梦凡
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  • 吉林大学管理学院 长春 130022
许一明(ORCID:0000-0002-0481-5421),博士研究生,E-mail:xuym16@mails.jlu.edu.cn;李贺(ORCID:0000-0001-8847-3619),教授,博士生导师;解梦凡(ORCID:0000-0002-0670-8160),博士研究生。

收稿日期: 2020-03-05

  修回日期: 2020-04-15

  网络出版日期: 2020-09-20

基金资助

本文系国家自然科学基金面上项目"基于图模型的多源异构产品评论数据融合与知识发现研究"(项目编号:71974075)研究成果之一。

Research on User's Motivation of Reputation Bestowal in Social Q&A Community Based on Grounded Theory

  • Xu Yiming ,
  • Li He ,
  • Xie Mengfan
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  • School of Management, Jilin University, Changchun 130022

Received date: 2020-03-05

  Revised date: 2020-04-15

  Online published: 2020-09-20

摘要

[目的/意义] 大众投票是目前社会化问答社区最常见的内容排序方法之一,分析社会化问答社区用户声誉赋予行为动机,有针对性地制定相关的奖惩措施,正确引导用户负责任地参与UGC协作,能够保证社会化问答社区良性发展,充分发挥社会化问答社区在网民非正式学习中的作用,提升全民素质,推动互联网信息环境自治。[方法/过程] 使用扎根理论方法,通过样本选择和数据收集工作,从知乎的相关问题中选出250份原始回答资料并对其进行编码分析,结合顾客参与理论和归因理论,最终构建社会化问答社区用户UGC声誉赋予行为动机模型。[结果/结论] 社会化问答社区用户UGC声誉赋予行为受到声誉赋予意愿和促成因素的影响,声誉赋予意愿则受到感知有用性和社会影响的影响,而用户对于声誉赋予行为感知有用性的判断会受到UGC信息的信息质量、信息源和社会影响的影响。

本文引用格式

许一明 , 李贺 , 解梦凡 . 社会化问答社区用户声誉赋予行为动机研究[J]. 图书情报工作, 2020 , 64(18) : 64 -75 . DOI: 10.13266/j.issn.0252-3116.2020.18.008

Abstract

[Purpose/significance] The vote is one of the most common content sorting method of the social question and answer community, analysis of social Q&A community of users reputation gives motivation, targeted to develop relevant measures of rewards and punishments, correctly guide users to participate in the UGC responsibly collaboration, can guarantee social Q&A community benign development, give full play to the role of social Q&A community in Internet users informal learning, improve the quality and promote autonomous Internet information environment.[Method/process] Based on the grounded theory, through sample selection and data collection, 250 original response materials were selected from the relevant questions of Zhihu and coded for analysis. Combining customer participation theory and attribution theory, the model of UGC reputation engendering behavior motivation of users in social Q&A community was finally constructed.[Result/conclusion] The reputation conferencing behavior of social Q&A community users of UGC is affected by the reputation conferencing willingness and contributing factors, while the reputation conferencing willingness is affected by the perceived usefulness and social influence, while the user's judgment on the perceived usefulness of the reputation conferencing behavior is affected by the information quality, information source and social influence of UGC information.

参考文献

[1] ZHU L, YIN G, HE W. Is this opinion leader's review useful? peripheral cues for online review helpfulness[J]. Journal of electronic commerce research, 2014, 15(4):267-280.
[2] KUAN K K Y, HUI K L, PRASARNPHANICH P, et al. What makes a review voted? an empirical investigation of review voting in online review systems[J]. Journal of the Association for Information Systems, 2015, 16(1):48-71.
[3] KANG M. Active users' knowledge-sharing continuance on social Q&A sites:motivators and hygiene factors[J]. Aslib journal of information management, 2018, 70(2):214-232.
[4] FANG C, ZHANG J. Users' continued participation behavior in social Q & A communities:a motivation perspective[J]. Computers in human behavior, 2019, 92:87-109.
[5] NOCK S L. The costs of privacy:surveillance and reputation in America[M]. New Jersey:Transaction Publishers, 1993.
[6] ALNEMR R, MEINEL C. From reputation models and systems to reputation ontologies[C]//IFIP international conference on trust management. Heidelberg:Springer, 2011:98-116.
[7] CHANG E, HUSSAIN F K, DILLON T S. Reputation ontology for reputation systems[C]//MEERSMAN R, TARI Z, HERRERO P. On the move to meaningful Internet systems. Berlin:Springer,2006:1724-1733.
[8] JACOVI M, GUY I, KREMERDAVIDSON S, et al. The perception of others:inferring reputation from social media in the enterprise[C]//ACM conference on computer supported cooperative work & social computing. New York:ACM, 2014:756-766.
[9] RICE S C. Reputation and uncertainty in online markets:an experimental study[J]. Information systems research, 2012, 23(2):436-452.
[10] 郭恺强,王洪伟,赵月.消费者通过在线声誉系统发表评论的前因:基于TAM的实证研究[J].管理评论,2014,26(9):180-190.
[11] DVIR-GVIRSMAN S. I like what I see:studying the influence of popularity cues on attention allocation and news selection[J]. Information communication & society, 2019, 22(2):1-20.
[12] ZHANG T, WANG W Y C, LIN Y C, et al. Understanding user motivation for evaluating online content:a self-determination theory perspective[J]. Behaviour & information technology, 2015, 34(5):479-491.
[13] TANG Q, SONG T, QIU L, et.al. Online content consumption:social endorsements, observational learning and word-of-mouth[C]//Fortieth international conference on information systems proceedings. Munich:ICIS 2019 Proceeding, 2019:1-17.
[14] 徐扬,沈宇飞.基于社会化影响理论的声誉系统与知识分享的关系初探[J].情报科学,2018,36(9):123-128.
[15] LI X T. Impact of average rating on social media endorsement:the moderating role of rating dispersion and discount threshold[J]. Information systems research, 2018, 29(3):739-754.
[16] BORAH P, XIAO X. The importance of ‘likes’:the interplay of message framing, source, and social endorsement on credibility perceptions of health information on facebook[J]. Journal of health communication, 2018:1-13.
[17] CHUNG M. Effects of social endorsement on news evaluation in Korea and the U.S.[D].New York:Syracuse University,2015.
[18] SHERMAN L E, PAYTON A A, HERNANDEZ L M, et al. The power of the like in adolescence:effects of peer influence on neural and behavioral responses to social media[J]. Psychological science, 2016,27(7):1027-1035.
[19] GUAN T, WANG L, JIN J, et al. Knowledge contribution behavior in online Q & A communities:an empirical investigation[J]. Computers in human behavior, 2018, 81:137-147.
[20] 张宝生,张庆普.基于扎根理论的社会化问答社区用户知识贡献行为意向影响因素研究[J].情报学报,2018,37(10):1034-1045.
[21] WASKO M M,FARAJ S.Why should I share?examining social capital and knowledge contribution in electronic networks of practice[J].MIS quarterly,2005, 29(1):35-57.
[22] ABERCROMBIE N, LONGHURST B. Audiences:a sociological theory of performance and imagination[J]. London Thousand Oaks & new, 1998, 48(4):172-175.
[23] JENKINS H. Convergence culture:where old and new media collide[M]. New York:New York University Press, 2008.
[24] DIAKOPOULOS N, NAAMAN M. Towards quality discourse in online news comments[C]//Proceedings of the ACM 2011 conference on computer supported cooperative work. New York:ACM, 2011:133-142.
[25] LAPPAS T, PUNERA K, SARLOS T. Mining tags using social endorsement networks[C]//Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval. New York:ACM, 2011:195-204.
[26] LIN L F, LI Y M, WU W H. A social endorsing mechanism for target advertisement diffusion[J]. Information & management, 2015, 52(8):982-997.
[27] QIU L, KUMAR S. Understanding voluntary knowledge provision and content contribution through a social-media-based prediction market:a field experiment[J]. Information systems research, 2017, 28(3):529-546.
[28] 王璐,高鹏.扎根理论及其在管理学研究中的应用问题探讨[J].外国经济与管理,2010,32(12):10-18.
[29] MARTIN P Y. Grounded theory and organizational research[J]. The journal of applied behavioral science, 1986, 22(2):141-157.
[30] URQUHART C, LEHMANN H, MYERS M D. Putting the theory back into grounded theory:guidelines for grounded theory studies in information systems.[J]. Information systems journal, 2010, 20(4):357-381.
[31] BIRKS D F, FERNANDEZ W, LEVINA N, et al. Grounded theory method in information systems research:its nature, diversity and opportunities[J]. European journal of information systems, 2013, 22(1):1-8.
[32] WIESCHE M, JURISCH M, YETTON P W, et al. Grounded theory methodology in information systems research[J]. MIS quarterly, 2017, 41(3):685-702.
[33] MILLER F, PARTRIDGE H, BRUCE C, et al. How academic librarians experience evidence-based practice:a grounded theory model[J]. Library & information science research, 2017, 39(2):124-130.
[34] 左莉. 社交问答网站知识分享行为的影响因素及其机制研究[D].武汉:华中师范大学,2017.
[35] 王其虹. 社会化问答社区优质用户知识共享行为影响因素及仿真研究[D].哈尔滨:哈尔滨工业大学,2018.
[36] 郭安元. 基于扎根理论的心理契约违背的影响因素及其作用机制研究[D].武汉:武汉大学, 2015.
[37] 华尔街见闻.知乎官宣用户数突破2.2亿同比增长102% 商业化或加速[EB/OL].[2020-03-10].https://baijiahao.baidu.com/s?id=1619733215962241212&wfr=spider&for=pc.
[38] JENKINS H. Convergence culture:where old and new media collide[M]. New York:New York University Press, 2008.
[39] 张琪.媒介丰富理论研究综述[J].传播力研究,2017,1(9):56.
[40] BRODSKY C M. The discovery of grounded theory:strategies for qualitative research-psychosomatics[J]. Nursing research, 1968, 17(4):377-380.
[41] BIRKS M, MILLS J. Grounded theory:a practical guide[M]. London:Sage, 2015.
[42] STRAUSS A, CORBIN J M. Basics of qualitative research:grounded theory procedures and techniques[M]. Thousand Oaks:Sage,1990.
[43] 孙晓娥.扎根理论在深度访谈研究中的实例探析[J].西安交通大学学报(社会科学版),2011,31(6):87-92.
[44] LEE Y W, STRONG D M, KAHN B K, et al. AIMQ:a methodology for information quality assessment[J]. Information and management, 2002, 40(2):133-146.
[45] RIEH S Y. Judgment of information quality and cognitive authority in the Web[J]. Journal of the Association for Information Science & Technology, 2010, 53(2):145-161.
[46] 陈蓓蕾.基于网络和信任理论的消费者在线口碑传播实证研究[D].杭州:浙江大学,2008.
[47] SUSSMAN S W, SIEGAL W S. Informational influence in organizations:an integrated approach to knowledge adoption[J]. Information systems research, 2003, 14(1):47-65.
[48] KHALILZADEH J, OZTURK A B, BILGIHAN A. Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry[J]. Computers in human behavior, 2017, 70:460-474.
[49] QUEIROZ M M, WAMBA S F. Blockchain adoption challenges in supply chain:an empirical investigation of the main drivers in India and the USA[J]. International journal of information management, 2019, 46:70-82.
[50] 李蕾,何大庆,章成志.社会化问答研究综述[J].数据分析与知识发现,2018,2(7):1-12.
[51] LEE S Y, RUI H, WHINSTON A B. Is best answer really the best answer? the politeness bias[J]. MIS quarterly, 2019, 43(2):579-600.
[52] MORRIS M R. What do people ask their social networks, and why? a survey study of status message Q&A behavior[C]//International conference on human factors in computing systems. New York:ACM, 2010;1739-1748
[53] JANNICA H. Psychological factors behind incidental information acquisition[J]. Library & information science research, 2006, 28(4):579-594.
[54] JIANG T, LIU F, CHI Y. Online information encountering:modeling the process and influencing factors[J]. Journal of documentation, 2015, 71(6):1135-1157.
[55] 丁晓娟. 社会化问答社区用户信息采纳行为影响因素研究[D].西安:西安理工大学,2019.
[56] CHOU C H, WANG Y S, TANG T I. Exploring the determinants of knowledge adoption in virtual communities:a social influence perspective[J]. International journal of information management, 2015, 35(3):364-376.
[57] 丁川芮. 人格特质对社会化问答社区用户信息行为影响研究[D].绵阳:西南科技大学,2018.
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