Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/112060
DC FieldValueLanguage
dc.contributor資管系
dc.creator楊建民zh_tw
dc.creatorLin, Yao Hungen_US
dc.creatorYang, Jiann Minen_US
dc.date2016-12
dc.date.accessioned2017-08-22T08:10:59Z-
dc.date.available2017-08-22T08:10:59Z-
dc.date.issued2017-08-22T08:10:59Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/112060-
dc.description.abstractResponding 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.extent177 bytes-
dc.format.mimetypetext/html-
dc.relationProceedings of the International Conference on Electronic Business (ICEB), , 333-336
dc.subjectBehavioral 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.titleA research growth study in big data fielden_US
dc.typeconference
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypeconference-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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