Understanding Customer Opinions From Online Discussion Forums: A Design Science Framework

被引:7
作者
Lee, Joyce Yi-Hui [1 ]
Yang, Chin-Sheng [2 ]
Chen, Shih-Yun [3 ]
机构
[1] Yuan Ze Univ, Informat Management, Chungli, Taiwan
[2] Yuan Ze Univ, Dept Informat Management, Chungli, Taiwan
[3] Yuan Ze Univ, Chungli, Taiwan
关键词
Content Analysis; Design Science Approach; Online Discussion Forum; Product Innovation; Social Media; User-Generated Content; BUSINESS INTELLIGENCE; SOCIAL NETWORKS; BIG DATA; PRODUCT; INFORMATION; INNOVATION; BEHAVIOR; SATISFACTION; ANALYTICS; COMMUNITY;
D O I
10.1080/10429247.2017.1367217
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Online discussion forums, which are full of user-generated content including user opinions and comments, are a potential gold mine for exploring new and useful ideas to augment competence in innovation. Companies need to systematically analyze and interpret online commentaries to enhance in-house research and design activities. To this end, a framework is proposed using a design science approach to enable automatic analysis of the content of online opinions and comments in connection with specific products, using a web lexicon established for this purpose. Furthermore, this framework is applied to an automobile as a proof-of-concept. Several nicknames for the car brand studied were created by web users, some with irony and sarcasm. A few metaphorical expressions were also used to describe product features. Engineering practitioners should recognize the importance of stylized online expressions in order to have a better understanding of customer needs and expectations through the application of this framework, which incorporates an evolutionary web lexicon.
引用
收藏
页码:235 / 243
页数:9
相关论文
共 45 条
[1]  
Abbasi A, 2008, MIS QUART, V32, P811
[2]   Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth [J].
Abedi, Vahideh Sadat ;
Berman, Oded ;
Krass, Dmitry .
OPERATIONS RESEARCH, 2014, 62 (05) :994-1013
[3]   Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research [J].
Agarwal, Ritu ;
Dhar, Vasant .
INFORMATION SYSTEMS RESEARCH, 2014, 25 (03) :443-448
[4]   Personal home pages and the construction of identities on the Web [J].
Androutsopoulos, Jannis .
JOURNAL OF SOCIOLINGUISTICS, 2006, 10 (04) :419-438
[5]  
[Anonymous], SAGE ENCY SOCIAL SCI
[6]  
[Anonymous], 1996, UCINET IV: Network Analysis Software
[7]  
Reference Manual
[8]   Deriving the Pricing Power of Product Features by Mining Consumer Reviews [J].
Archak, Nikolay ;
Ghose, Anindya ;
Ipeirotis, Panagiotis G. .
MANAGEMENT SCIENCE, 2011, 57 (08) :1485-1509
[9]   The Repertory Grid Technique as a Customer Insight Method [J].
Baxter, David Ian ;
Goffin, Keith ;
Szwejczewski, Marek .
RESEARCH-TECHNOLOGY MANAGEMENT, 2014, 57 (04) :37-44
[10]  
Berelson B., 1952, CONTENT ANAL COMMUNI