Meta-Analysis of the Relationship between Individual Cognitive Absorption and Virtual Community Participation
Zhang Ning1,2, Yuan Qinjian1, Zhu Qinghua1
1. School of Information Management, Nanjing University, Nanjing 210023; 2. School of Information, Guizhou University of Finance and Economics, Guiyang 550025
[1] 曲霏, 张慧颖. 关系型虚拟社区用户持续使用意向的影响机制研究——人际信任的调节作用[J]. 情报学报, 2016, 35(4): 415-424. [2] 李力, 张晋朝. 虚拟社区用户持续知识搜寻意愿影响因素研究[J]. 情报杂志, 2016, 35(8): 199-203, 138. [3] 杨兴凯, 周培. 基于二元语义的虚拟社区知识共享水平测度研究[J]. 情报学报, 2013, 32(1): 97-104. [4] 李桂华, 余伟萍, 姜晓萍. 虚拟社区文本情感表达对用户参与的作用: 模型构建与验证[J]. 情报学报, 2012, 31(8): 853-860. [5] 代宝, 刘业政. 虚拟社区知识共享的实证研究综述[J]. 情报杂志, 2014, 33(10): 201-207. [6] Vallerand R J.Toward a hierarchical model of intrinsic and extrinsic motivation[J]. Advances in Experimental Social Psychology, 1997, 29: 271-360. [7] Tellegen A, Atkinson G.Openness to absorbing and self-altering experiences (“absorption”), a trait related to hypnotic susceptibility[J]. Journal of Abnormal Psychology, 1974, 83(3): 268-277. [8] Csikszentmihaly M.Flow: The psychology of optimal experience[M]. New York: Harper and Row, 1990. [9] Webster J, Ho H.Audience engagement in multimedia presentations[J]. ACM SIGMIS Database: the DATABASE for the Advances in Information Systems, 1997, 28(2): 63-77. [10] Dixon M, Labelle L, Laurence J R.A multivariate approach to the prediction of hypnotic susceptibility[J]. International Journal of Clinical and Experimental Hypnosis, 1996, 44(3): 250-264. [11] Webster J. Hackley P.Teaching effectiveness in technology- mediated distance learning[J]. Academy of Management Journal, 1997, 40(6): 1282-1309. [12] Ormrod J E.Essentials of educational psychology[M]. Upper Saddle River: Prentice Hall, 2008: 34-125. [13] Koh J, Kim Y.Sense of virtual community: a conceptual framework and empirical validation[J]. International Journal of Electronic Commerce, 2003, 8(2): 75-93. [14] 赵玲, 鲁耀斌, 邓朝华. 基于社会资本理论的虚拟社区感研究[J]. 管理学报, 2009, 6(9): 1169-1175. [15] Algesheimer R, Dholakia U M, Herrmann A.The social influence of brand community: Evidence from European car clubs[J]. Journal of Marketing, 2005, 69(3): 19-34. [16] Hsu C P, Chiang Y F, Huang H C.How experience-driven community identification generates trust and engagement[J]. Online Information Review, 2012, 36(1): 72-88. [17] 葛明贵, 汪昱娟, 段好宁. 个体知识共享研究: 基于心理学的分析[J]. 现代情报, 2014, 34(3): 12-15, 20. [18] 楼天阳, 褚荣伟, 李仪凡, 等. 虚拟社区成员参与心理机制研究述评[J]. 外国经济与管理, 2011, 33(5): 33-40. [19] Dholakia U M, Bagozzi R P, Pearo L K.A social influence model of consumer participation in network- and small-group-based virtual communities[J]. International Journal of Research Marketing, 2004, 21(3): 241-263. [20] Sinha I.The Cybergypsies: A true tale of lust, war, and betrayal on the electronic frontier[M]. New York: Viking, 1999. [21] Illies J J, Reiter-Palmon R.The effects of type and level of personal involvement on information search and problem solving[J]. Journal of Applied Social Psychology, 2004, 34(8): 1709-1729. [22] Carver L, Turoff M.Human computer interaction: The human and computer as a team in emergency management information systems[J]. Communications of the ACM, 2007, 50(3): 33-38. [23] Agarwal R, Karahanna E.Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage[J]. MIS Quarterly, 2000, 24(4): 665-694. [24] Wang Y, Fesenmaier D R.Towards understanding members’ general participation in and active contribution to an online travel community[J]. Tourism Management, 2004, 25(6): 709-722. [25] Shoham A.Flow experiences and image making: an online chat-room ethnography[J]. Psychology and Marketing, 2004, 21(10): 855-882. [26] Moon J W, Kim Y G.Extending the TAM for a World-Wide- Web context[J]. Information & Management, 2001, 38(4): 217-230. [27] Klang M, Olsson S. Virtual Communities, 1999[C]. Scandinavia: Proceedings of 22nd Information Research, 1999. [28] Hunter J E, Schmidt F L.Methods of meta-analysis: correcting error and bias in research findings (2nd ed.)[M]. Newbury Park: SAGE Publications, 2004: 25-49. [29] Lipsey M W, Wilson D B.Practical meta-analysis[M]. Thousand Oaks: SAGE Publications, 2001. [30] 陈鹤阳, 朝乐门. 元分析方法在信息分析中的应用[J]. 情报资料工作, 2015(6): 46-50. [31] Hedges L V, Olkin I.Statistical methods for meta-analysis[M]. New York: Academic Press, 1985: 3. [32] Trahan E.Applying meta-analysis to library and information science research[J]. The Library Quarterly, 1993, 63(1): 73-91. [33] Salang M M C. A meta-analysis of studies on user information needs and their relationship to information retrieval[J]. Journal of Philippine Librarianship, 1996, 18(1-2): 36-56. [34] Ankem K.Approaches to meta-analysis: A guide for LIS researchers[J]. Library & Information Science Research, 2005, 27(2): 164-176. [35] Eden D.From the editors: replication, meta-analysis, scientific progress, and AMJ’s publication policy[J]. Academy of Management Journal, 2002, 45(5): 841-846. [36] 柯青, 孙建军, 成颖. 场独立-场依存认知风格对信息搜寻绩效影响: 元分析研究[J]. 情报学报, 2015, 34(6): 646-661. [37] 张辉华, 王辉. 个体情绪智力与工作场所绩效关系的元分析[J]. 心理学报, 2011, 43(2): 188-202. [38] Rosenthal R.Meta-analytic procedures for social science research[J]. Educational Researcher, 1986, 15(8): 18-20. [39] 刘冰, 张耀辉. 基于网络用户体验与感知的信息质量影响因素模型实证研究[J]. 情报学报, 2013, 32(6): 663-672. [40] 关萍萍. 电子游戏的多重互动性研究[J]. 北京邮电大学学报(社会科学版), 2011, 13(5): 7-14. [41] Cowley B, Charles D, Black M, et al. Toward an understanding of flow in video games[J]. Computers in Entertainment, 2008, 6(2): Article No. 20. [42] 罗杰, 冷卫东. 系统评价/Meta分析理论与实践[M]. 北京: 军事医学科学出版社, 2013. [43] Lin H F.Examination of cognitive absorption influencing the intention to use a virtual community[J]. Behavior & Information Technology, 2009, 28(5): 421-431. [44] Zhuang Z Y, Chen J L, Zhang B.An empirical study on user participation in interest communities: A socio-psychological perspective[C]// Proceedings of the International Conference on Progress in Informatics and Computing. IEEE, 2014: 679-683. [45] Yan Y L, Davison R M, Mo C Y.Employee creativity formation: The roles of knowledge seeking, knowledge contributing and flow experience in Web 2.0 virtual communities[J]. Computers in Human Behavior, 2013, 29(5): 1923-1932. [46] Jin W, Sun Y Q.Understanding the antecedents of virtual product purchase in MMORPG: an integrative perspective of social presence and user engagement[C]// PACIS 2015 Proceedings, Singapore, 2015: 191. [47] Forte J A P, de Oliveira Arruda Gomes D M, Nogueira C A G, et al. Educational services in second life: A study based on flow theory[J]. International Journal of Web-Based Learning and Teaching Technologies, 2011, 6(2): Article No. 1. [48] Mpinganjira M.Environmental stimuli and user experience in online customer communities: A focus on flow and behavioral response[J]. Management Dynamics, 2016, 25(2): 2-16. [49] Chang Y P, Zhu D H.The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China[J]. Computers in Human Behavior, 2012, 28(3): 995-1001. [50] Kim H, Sun K S, Lee U K.Effects of collaborative online shopping on shopping experience through social and relational perspectives[J]. Information & Management, 2013, 50(4): 169-180. [51] Pelet J É, Ettis S, Cowart K.Optimal experience of flow enhanced by telepresence: Evidence from social media use[J]. Information & Management, 2017, 54(1): 115-128. [52] Liu S H, Liao H L, Peng C J.Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior[J]. Issues in Information Systems, 2005, 6(2): 175-181. [53] Wang Y C, Fesenmaier D R.Towards understanding members’ general participation in and active contribution to an online travel community[J]. Tourism Management, 2004, 25(6): 709-722. [54] Cheung C M K, Chiu P Y, Lee M K O. Online social networks: Why do students use facebook?[J]. Computers in Human Behavior, 2011, 27(4): 1337-1343. [55] Park B W, Lee K C.Effects of knowledge sharing and social presence on the intention to continuously use social networking sites: the case of Twitter in Korea[C]// Proceedings of the International Conference on U- and E-Service, Science and Technology. Berlin: Springer, 2010: 60-69. [56] 李晶, 卢小莉, 李卓卓. 学术社区用户沉浸体验的形成动因及其影响机理研究[J]. 大学图书情报学刊, 2017, 35(1): 3-8. [57] 杨冠淳, 卢向华. 促进用户粘性的虚拟社区技术与管理设计创新——基于实证的研究[J]. 研究与发展管理, 2009, 21(5): 29-38. [58] 白玉. 学术虚拟社区持续意愿的影响因素研究[J]. 图书馆学研究, 2017(5): 2-6. [59] 朱玲梅, 钱晴晴. 虚拟社区中成员参与的影响机制研究[J]. 科技管理研究, 2015(6): 107-111. [60] 李力, 张晋朝. 虚拟社区用户持续知识搜寻意愿影响因素研究[J]. 情报杂志, 2016, 35(8): 199-203, 138. [61] 甘春梅, 王伟军. 学术博客持续使用意愿: 交互性、沉浸感与满意感的影响[J]. 情报科学, 2015, 33(3): 70-74, 94. [62] 彭晓东, 申光龙. 虚拟社区感对顾客参与价值共创的影响研究——基于虚拟品牌社区的实证研究[J]. 管理评论, 2016, 28(11): 106-115. [63] 徐长江, 于丽莹. 虚拟社区公民行为在虚拟社区感与知识共享意图间的中介作用: 自我效能感的调节机制[J]. 心理科学, 2015, 38(4): 923-927. [64] 霍春辉, 李月娥, 刘建基. 虚拟社区感与个体知识共享行为关系的实证研究[J]. 当代经济, 2015(23): 123-125. [65] 马向阳, 王宇龙, 汪波, 等. 虚拟品牌社区成员的感知、态度和参与行为研究[J]. 管理评论, 2017, 29(7): 70-81. [66] 侯正裕, 陈静枝, 陈鸿基. 为何人们使用社交网站? 认知专注的观点[J]. 资讯管理学报, 2010, 17: 97-116. [67] 张晓亮. 虚拟社区用户持续知识共享行为研究——基于沉浸理论与情绪认知理论[D]. 杭州: 浙江工商大学, 2015. [68] 李中. 用户参与虚拟社区的影响因素研究[D]. 合肥: 安徽大学, 2011. [69] 王彦杰. 众包社区用户持续参与行为实证研究[D]. 大连: 大连理工大学, 2010. [70] 储海丽. 社交商务情境下的人际互动因素对沉浸体验以及购买意愿的影响[D]. 合肥: 中国科学技术大学, 2016. [71] 吴海萍. 虚拟品牌社群知识分享行为的影响因素研究[D]. 泉州: 华侨大学, 2016. [72] 陈明红, 郑洁萍, 漆贤军. 移动社交媒体用户信息共享持续意愿研究[J]. 情报理论与实践, 2017, 40(4): 37-43. [73] 孙建军, 顾东晓. 动机视角下社交媒体网络用户链接行为的实证分析[J]. 图书情报工作, 2014, 58(4): 71-78. [74] 陈洁, 丛芳, 康枫. 基于心流体验视角的在线消费者购买行为影响因素研究[J]. 南开管理评论, 2009, 12(2): 132-140. [75] 代宝, 刘业政. 基于期望确认模型、社会临场感和心流体验的微信用户持续使用意愿研究[J]. 现代情报, 2015, 35(3): 19-23. [76] 仲秋雁, 王彦杰, 裘江南. 众包社区用户持续参与行为实证研究[J]. 大连理工大学学报(社会科学版), 2011, 32(1): 1-6. [77] 许博. 网络百科全书公众参与影响因素研究[J]. 科学学研究, 2011, 29(5): 665-669.
