Mapping the Corporate Blogosphere: Linking Audience, Content, and Management to Blog Visibility

被引:17
作者
Dennis, Alan R. [1 ]
Minas, Randall K. [2 ]
Lockwood, Nicholas S. [3 ]
机构
[1] Indiana Univ, Operat & Decis Technol Dept, Kelley Sch Business, Bloomington, IN 47405 USA
[2] Univ Hawaii Manoa, Dept Informat Technol Management, Honolulu, HI 96822 USA
[3] Catalina Mkt, Los Angeles, CA USA
来源
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS | 2016年 / 17卷 / 03期
关键词
Corporate Blogs; Communication; Stakeholders; Audience; Blog Content; Blog Management; Feedback; Visibility; ONLINE; TECHNOLOGY; IMPACT; MEDIA; FIRM;
D O I
10.17705/1jais.00425
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Blogs have been a common part of the Web for many years. Individuals create most blogs for their own purposes, but corporations have also begun to develop corporate blogs as a means for communicating with their stakeholders (e.g., customers, partners, investors). In this paper, we extend theory by generating what Gregor (2006) would call a type I theory. Specifically, we develop a theoretical framework for classifying and analyzing corporate blogs that examines blogs' target audience, their content (focus and function), and how one should manage them. We use this framework to analyze the impact of these characteristics on the visibility of blogs operated by a sample of Fortune 500 companies. Our results show that a blog's target audience and how its content and management fit with this audience can have significant impacts on blog visibility. We believe this framework provides a useful foundation for studying corporate blogs in the future.
引用
收藏
页码:162 / 193
页数:32
相关论文
共 62 条
[1]  
Aaserud K., 2006, Profit, V25, P119
[2]   Market, hierarchy, and trust: The knowledge economy and the future of capitalism [J].
Adler, PS .
ORGANIZATION SCIENCE, 2001, 12 (02) :215-234
[3]   Blog, Blogger, and the Firm: Can Negative Employee Posts Lead to Positive Outcomes? [J].
Aggarwal, Rohit ;
Gopal, Ram ;
Sankaranarayanan, Ramesh ;
Singh, Param Vir .
INFORMATION SYSTEMS RESEARCH, 2012, 23 (02) :306-322
[4]  
Ahuja V., 2010, Journal of Database Marketing Customer Strategy Management, V17, P91
[5]  
Andriole SJ, 2010, COMMUN ACM, V53, P67, DOI 10.1145/1859204.1858225
[6]  
[Anonymous], 1997, REGRESSION MODELS CA
[7]  
[Anonymous], P BLED ECONFERENCE
[8]  
[Anonymous], P ANN HAW INT C SYST
[9]  
[Anonymous], BUSINESS WEEK ONLINE
[10]  
[Anonymous], 2007, ICWSM