Exploring the effect of user engagement in online brand communities: Evidence from Twitter

被引:110
作者
Ibrahim, Noor Farizah [1 ]
Wang, Xiaojun [1 ]
Bourne, Humphrey [1 ]
机构
[1] Univ Bristol, Sch Econ Finance & Management, Bristol, Avon, England
关键词
Social media; Microblogging; Engagement; Online community; Online retailing; WORD-OF-MOUTH; SOCIAL MEDIA; CUSTOMER ENGAGEMENT; SENTIMENT ANALYSIS; MICROBLOGS; BEHAVIORS; ANALYTICS; SUCCESS; TWEETS; IMPACT;
D O I
10.1016/j.chb.2017.03.005
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Social media such as forums, blogs and microblogs has been increasingly used for public information sharing and opinions exchange nowadays. It has changed the way how online community interacts and somehow has led to a new trend of engagement for online retailers especially on microblogging websites such as Twitter. In this study, we investigated the impact of online retailers' engagement with the online brand communities on users' perception of brand image and service. Firstly, we analysed the overall sentiment trends of different brands and the patterns of engagement between companies and customers using the collected tweets posted on a popular social media platform, Twitter. Then, we studied how different types of engagements affect customer sentiments. Our analysis shows that engagement has an effect on sentiments that associate with brand image, perception and customer service of the online retailers. Our findings indicate that the level, length, type and attitude of retailers' engagement with social media users have a significant impact on their sentiments. Based on our results, we derived several important managerial and practical implications. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:321 / 338
页数:18
相关论文
共 77 条
[1]  
[Anonymous], 2010, ANAL SOCIAL MEDIA NE
[2]   Adding Twitter-Specific Features to Stylistic Features for Classifying Tweets by User Type and Number of Retweets [J].
Arakawa, Yui ;
Kameda, Akihiro ;
Aizawa, Akiko ;
Suzuki, Takafumi .
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2014, 65 (07) :1416-1423
[3]  
Armstrong Arthur., 2000, Knowledge and Communities, P85, DOI DOI 10.4324/9780080509785
[4]  
Asur S., 2010, INT C WEB INT AG TEC
[5]   Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers [J].
Bae, Younggue ;
Lee, Hongchul .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2012, 63 (12) :2521-2535
[6]   Customer e-complaining behaviours using social media [J].
Balaji, M. S. ;
Jha, Subhash ;
Royne, Marla B. .
SERVICE INDUSTRIES JOURNAL, 2015, 35 (11-12) :633-654
[7]  
Barnaghi P., 2016, 2 IEEE INT C BIG DAT
[8]   Bricks-and-mortar vs. "clicks-and-mortar": An equilibrium analysis [J].
Bernstein, Fernando ;
Song, Jing-Sheng ;
Zheng, Xiaona .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 187 (03) :671-690
[9]   Using Twitter to learn about the autism community [J].
Beykikhoshk A. ;
Arandjelović O. ;
Phung D. ;
Venkatesh S. ;
Caelli T. .
Social Network Analysis and Mining, 2015, 5 (01) :1-17
[10]  
Bo Pang, 2008, Foundations and Trends in Information Retrieval, V2, P1, DOI 10.1561/1500000001