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数据分析与知识发现  2019, Vol. 3 Issue (3): 83-94     https://doi.org/10.11925/infotech.2096-3467.2018.0487
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
在线品牌社群环境下企业与用户的信息互动研究*——以虚拟现实产业为例
王晰巍1,2,王铎1(),郑晴晓3,韦雅楠1
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
3中译语通科技股份有限公司 北京 100131
Information Interaction Between User and Enterprise in Online Brand Community: A Study of Virtual Reality Industry
Xiwei Wang1,2,Duo Wang1(),Qingxiao Zheng3,Ya’nan Wei1
1School of Management, Jilin University, Changchun 130022, China
2Research Center for Big Data Management, Jilin University, Changchun 130022, China
3Global Tone Communication Technology, Beijing 100131, China
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摘要 

【目的】通过对社交媒体中信息互动内容进行文本分析, 以VR产业为切入点, 探究在线品牌社群中企业与用户信息互动的特点以及企业如何通过信息互动来提升竞争力。【方法】使用文本挖掘方法对国内外4家VR企业的社交媒体主页信息进行采集, 并使用NVivo11等文本分析工具对获取到的信息进行文本分析和数据统计。【结果】数据分析结果表明, 国内外在线品牌社群中企业与用户之间的信息互动存在一定差异, 充分利用信息互动可以帮助企业提高用户粘性, 扩大企业新产品信息的传播, 在多个方面提升企业的竞争力。【局限】研究仅限于虚拟现实产业, 并且社交媒体平台仅限于Twitter和微博。【结论】本文构建了在线品牌社群中企业与用户的信息互动模型, 为信息互动提供新的理论研究视角, 为企业借助虚拟社区加强与用户的信息互动、提高竞争优势提供一定参考。

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王晰巍
王铎
郑晴晓
韦雅楠
关键词 在线品牌社群社交媒体信息互动虚拟现实    
Abstract

[Objective] This study conducted a text analysis for social media information interaction of VR companies with the purpose of investigating how VR companies enhance their competitiveness by this type of information interaction. [Methods] We conducted text mining and text analysis of 4 VR enterprise social networking sites by using data analysis tools such as NVivo11. [Results] The results show significant difference between different companies’ information interaction. Online brand communities information interaction can help enterprises to improve the user stickiness and new product information dissemination. [Limitations] We only selected two social networking platforms and one industry in this research. [Conclusions] This study provides a new perspective of information interaction research, and makes contribution to help enterprises to enhance their competitiveness by information interaction in online brand communities.

Key wordsOnline Brand Community    Social Media    Information Interaction    Virtual Reality
收稿日期: 2018-05-02      出版日期: 2019-04-17
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)建设项目的研究成果之一
引用本文:   
王晰巍,王铎,郑晴晓,韦雅楠. 在线品牌社群环境下企业与用户的信息互动研究*——以虚拟现实产业为例[J]. 数据分析与知识发现, 2019, 3(3): 83-94.
Xiwei Wang,Duo Wang,Qingxiao Zheng,Ya’nan Wei. Information Interaction Between User and Enterprise in Online Brand Community: A Study of Virtual Reality Industry. Data Analysis and Knowledge Discovery, 2019, 3(3): 83-94.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0487      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2019/V3/I3/83
[1] 赵一鸣, 郝建江, 王海燕, 等. 虚拟现实技术教育应用研究演进的可视化分析[J]. 电化教育研究, 2016, 37(12): 26-33.
[1] (Zhao Yiming, Hao Jianjiang, Wang Haiyan, et al.Visual Analysis of Evolution of Virtual Reality Technology in Educational Application Research[J]. e-Education Research, 2016, 37(12): 26-33.)
[2] 艾瑞咨询. 中国虚拟现实(VR)行业研究报告[R]. Greenlight Insights, 2017.
[2] (iResearch. China Virtual Reality (VR) Industry Research Report[R]. Greenlight Insights, 2017.)
[3] Tseng T, Huang H H, Setiawan A.How do Motivations for Commitment in Online Brand Communities Evolve? The Distinction Between Knowledge- and Entertainment-Seeking Motivations[J]. Computers in Human Behavior, 2017, 77: 326-335.
[4] Wang Y G, Ma S, Li D H.Customer Participation in Virtual Brand Communities: The Self-Construal Perspective[J]. Information & Management, 2015, 52(5): 577-587.
[5] 汪旭晖, 冯文琪. 虚拟品牌社群中社会人际互动和类社会互动对品牌关系质量的影响研究[J]. 财经论丛, 2017(5): 78-88.
[5] (Wang Xuhui, Feng Wenqi.The Influence of Social Interaction and Para-social Interaction in Virtual Brand Community on Brand[J]. Collected Essays on Finance and Economics, 2017(5): 78-88.)
[6] Wang W Y C, Pauleen D J, Zhang T T. How Social Media Applications Affect B2B Communication and Improve Business Performance in SMEs[J]. Industrial Marketing Management, 2016, 54: 4-14.
[7] Liu L L, Lee M K O, Liu R J, et al. Trust Transfer in Social Media Brand Communities: The Role of Consumer Engagement[J]. International Journal of Information Management, 2018, 41: 1-13.
[8] Wang Z, Kim H G.Can Social Media Marketing Improve Customer Relationship Capabilities and Firm Performance? Dynamic Capability Perspective[J]. Journal of Interactive Marketing, 2017, 39: 15-26.
[9] 赖元薇. 全球品牌利用社交媒体内容营销提升品牌忠诚度的机制研究[D]. 北京:对外经济贸易大学, 2017.
[9] (Lai Yuanwei.Research on Social Media Content Marketing: A Mechanism for Global Brands’ Enhancement of Brand Loyalty[D]. Beijing: University of International Business and Economics, 2017.)
[10] 黄金凤. 基于社交媒体的品牌关系对消费者行为意向的影响研究[D]. 南京: 南京财经大学, 2015.
[10] (Huang Jinfeng.Effect of Brand Relationship Towards Social Media on Consumer Behavioral Intention[D]. Nanjing: Nanjing University of Finance and Economics, 2015.)
[11] Hoffman D L, Novak T P.Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations[J]. Journal of Marketing, 1996, 60(3): 50-68.
[12] 熊莉君. 虚拟社区中信息交流的引导机制研究[J]. 图书馆学研究, 2011(9): 45-47.
[12] (Xiong Lijun.Research on the Guiding Mechanism of Information Exchange in Virtual Community[J]. Research on Library Science, 2011(9): 45-47.)
[13] Wagner T F, Baccarella C V, Voigt K I.Framing Social Media Communication: Investigating the Effects of Brand Post Appeals on User Interaction[J]. European Management Journal, 2017, 35(5): 606-616.
[14] 郭晓姝. 企业微博信息互动传播模式、途径与影响因素研究[D]. 沈阳: 东北财经大学, 2013.
[14] (Guo Xiaoshu.Research on Pattern, Channels and Influencing Factors of Enterprise Micro-Blogging Information Interaction Diffusion[D]. Shenyang: Dongbei University of Finance and Economics, 2013.)
[15] 周迁. 企业微博传播效果影响因素研究[D]. 武汉: 华中师范大学, 2015.
[15] (Zhou Qian.Research on Influential Factors of Enterprise Microblogging Communication Effect[D]. Wuhan: Central China Normal University, 2015.)
[16] 陈顺林. 虚拟品牌社区参与对产品品牌忠诚的影响研究[D]. 杭州:浙江大学, 2007.
[16] (Chen Shunlin.Research on the Impact of Virtual Brand Community Participation on Product Brand Loyalty[D]. Hangzhou: Zhejiang University, 2007.)
[17] Martínez-López F J, Anaya-Sánchez R, Molinillo S, et al. Consumer Engagement in an Online Brand Community[J]. Electronic Commerce Research and Applications, 2017, 23: 24-37.
[18] Burnett G, Buerkle H.Information Exchange in Virtual Communities: A Comparative Study[J]. Journal of Computer-Mediated Communication, 2004, 9(2): 33-37.
[19] Wirtz J, Ambtman A D, Bloemer J, et al.Managing Brands and Customer Engagement in Online Brand Communities[J]. Journal of Service Management, 2013, 24(3): 223-244.
[20] 许缦. 基于SICAS模型的移动APP营销模式和策略研究[J]. 经贸实践, 2017(24): 47-48.
[20] (Xu Man.Research on Mobile APP Marketing Model and Strategy Based on SICAS Model[J]. Economic & Trade, 2017(24): 47-48.)
[21] Ibrahim N F, Wang X J, Bourne H.Exploring the Effect of User Engagement in Online Brand Communities: Evidence from Twitter[J]. Computers in Human Behavior, 2017, 72: 321-338.
[22] Abascal-Mena R, Lema R, Sèdes F.Detecting Sociosemantic Communities by Applying Social Network Analysis in Tweets[J]. Social Network Analysis and Mining, 2015, 5: 1-17.
[23] 臧敏, 徐圆圆, 程春慧. 社交媒体对网络新闻传播的影响分析——以微博为例[J]. 赤峰学院学报: 汉文哲学社会科学版, 2014, 35(4): 121-122.
[23] (Zang Min, Xu Yuanyuan, Cheng Chunhui.Analysis on the Influence of Social Media on the Communication of Online News: Taking Weibo as an Example[J]. Journal of Chifeng University: Philosophy and Social Science Chinese Edition, 2014, 35(4): 121-122.)
[24] 高盛投资银行. 虚拟现实、增强现实产业报告[R]. 2016.
[24] (Goldman Sachs.Profiles in Innovation Virtual & Augmented Reality[R]. 2016.)
[25] Martínez-López F J, Anaya-Sánchez R, Molinillo S. Consumer Engagement in an Online Brand Community[J]. Electronic Commerce Research and Applications, 2017, 23: 24-37.
[26] He W, Zha S H, Li L.Social Media Competitive Analysis and Text Mining: A Case Study in the Pizza Industry[J]. International Journal of Information Management, 2013, 33(3): 464-472.
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