| dc.contributor | 資管系 | |
| dc.creator (作者) | 李怡慧 | |
| dc.creator (作者) | Lee, Joyce Y.H. | |
| dc.creator (作者) | Yang, Chin-Sheng | |
| dc.creator (作者) | Chen, Shih-Yun | |
| dc.date (日期) | 2017-12 | |
| dc.date.accessioned | 26-May-2020 15:09:41 (UTC+8) | - |
| dc.date.available | 26-May-2020 15:09:41 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-May-2020 15:09:41 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/129958 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 146 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Engineering Management Journal, Vol.29, No.4, pp.235-243 | |
| dc.subject (關鍵詞) | Content Analysis; Design Science Approach; Online Discussion Forum; Product Innovation; Social Media; User-Generated Content | |
| dc.title (題名) | Understanding customers’ opinions from online discussion forums: A design science framework | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1080/10429247.2017.1367217 | |
| dc.doi.uri (DOI) | https://doi.org/10.1080/10429247.2017.1367217 | |
