| dc.contributor | 資管系 | |
| dc.creator (作者) | 楊建民 | zh_tw |
| dc.creator (作者) | Lin, Yao Hung | en_US |
| dc.creator (作者) | Yang, Jiann Min | en_US |
| dc.date (日期) | 2016-12 | |
| dc.date.accessioned | 22-Aug-2017 16:10:59 (UTC+8) | - |
| dc.date.available | 22-Aug-2017 16:10:59 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Aug-2017 16:10:59 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/112060 | - |
| dc.description.abstract (摘要) | Responding to the diffusion and growth of big data research, this study adopted the bibliometric approach to describe the growth of the literatures, the distribution of journals, publication countries and subject area. This study collected the relative literature by querying the Social Science Citation Index (SSCI) of ISI Web of knowledge database, where we could collect the big data literatures in academic papers, systematically. Data from citation indexes can be analyzed to determine the popularity and impact of specific articles, authors, and publications. The results provided the distribution of core journals, and described the trends and feature of big data research for researchers interested in this field. | |
| dc.format.extent | 177 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings of the International Conference on Electronic Business (ICEB), , 333-336 | |
| dc.subject (關鍵詞) | Behavioral research; Electronic commerce; Indexing (of information); Query processing; Social sciences; Academic paper; Bibliometric; Bibliometrics; Citation indexes; Core journals; Growth studies; Social science citation indices; Web of knowledge; Big data | |
| dc.title (題名) | A research growth study in big data field | en_US |
| dc.type (資料類型) | conference | |
