Please wait a minute...
Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (3): 83-94    DOI: 10.11925/infotech.2096-3467.2018.0487
Current Issue | Archive | Adv Search |
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
Download: PDF (3785 KB)   HTML ( 7
Export: BibTeX | EndNote (RIS)      
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     
Received: 02 May 2018      Published: 17 April 2019

Cite this article:

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.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.0487     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/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.
[1] Xie Hao,Mao Jin,Li Gang. Sentiment Classification of Image-Text Information with Multi-Layer Semantic Fusion[J]. 数据分析与知识发现, 2021, 5(6): 103-114.
[2] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[3] Zhang Guobiao,Li Jie. Detecting Social Media Fake News with Semantic Consistency Between Multi-model Contents[J]. 数据分析与知识发现, 2021, 5(5): 21-29.
[4] Liu Qian, Li Chenliang. A Survey of Topic Evolution on Social Media[J]. 数据分析与知识发现, 2020, 4(8): 1-14.
[5] Li Gang, Guan Weidong, Ma Yaxue, Mao Jin. Predicting Social Media Visibility of Scholarly Articles[J]. 数据分析与知识发现, 2020, 4(8): 63-74.
[6] Ying Tan,Jin Zhang,Lixin Xia. A Survey of Sentiment Analysis on Social Media[J]. 数据分析与知识发现, 2020, 4(1): 1-11.
[7] Lin Wang,Ke Wang,Jiang Wu. Public Opinion Propagation and Evolution of Public Health Emergencies in Social Media Era: A Case Study of 2018 Vaccine Event[J]. 数据分析与知识发现, 2019, 3(4): 42-52.
[8] Xiang Xue,Yuxiang Zhao. Exploring User Mental Models of Online Music Classification System: Case Study of College Students[J]. 数据分析与知识发现, 2019, 3(2): 1-12.
[9] Xiaoxiao Zhu,Zunqi Yang,Jing Liu. Construction of an Adverse Drug Reaction Extraction Model Based on Bi-LSTM and CRF[J]. 数据分析与知识发现, 2019, 3(2): 90-97.
[10] Cuiqing Jiang,Yibo Guo,Yao Liu. Constructing a Domain Sentiment Lexicon Based on Chinese Social Media Text[J]. 数据分析与知识发现, 2019, 3(2): 98-107.
[11] Gang Li,Sijing Chen,Jin Mao,Yansong Gu. Spatio-Temporal Comparison of Microblog Trending Topics on Natural Disasters[J]. 数据分析与知识发现, 2019, 3(11): 1-15.
[12] Li Lei,He Daqing,Zhang Chengzhi. Survey on Social Question and Answer[J]. 数据分析与知识发现, 2018, 2(7): 1-12.
[13] Jing Dong,Zhang Dayong. Assessing Trust-Based Users’ Influence in Social Media[J]. 数据分析与知识发现, 2018, 2(7): 26-33.
[14] Li Baozhen,Wang Ya,Zhou Ke. Measuring Credibility of Social Media Contents Based on Bayesian Theory[J]. 数据分析与知识发现, 2017, 1(6): 83-92.
[15] Li Dan. Improving Library Services with the Help of WeChat[J]. 现代图书情报技术, 2016, 32(4): 104-110.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn