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題名 E-Commerce Research Trend Forecasting: A Study of Bibliometric Methodology
作者 姜國輝
蔡緒浩; Tsai, Hsu-Hao; Chiang, Johannes K.
貢獻者 資管系
關鍵詞 E-commerce; Technology Trend and Forecast; Bibliometric Methodology
日期 2011-01
上傳時間 21-Feb-2014 10:57:53 (UTC+8)
摘要 This paper surveys e-com merce (EC) technology trends and forecasts u sing bibliometric analysis from 1 989 to 200 9 w ith topi c as “e-com merce” i n S SCI da tabase. T he bi bliometric analytical technique is used to examine the topic in SSCI journals from 1989 to 2009, based on the scope of 2655 literatures of EC. This paper implemented and classified EC literatures using the seven catego ries f or diff erent distribution statu s in orde r t o explore h ow EC t echnology trends and applications have developed in th is period. Also, the paper will perform K-S test to verify the reliability of Lotka’s Law. The analysis provides a roadmap to guide future research and a bstract the t rend inf ormation so that EC researchers c an save some t ime sin ce c ore knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
關聯 International Journal of Digital Content Technology and its Applications, 5(1), 101-111
資料來源 http://www.researchfindr.com/e-commerce-research-trend-forecasting-study-bibliometric-methodology
資料類型 article
DOI http://dx.doi.org/10.4156/jdcta.vol5.issue1.12
dc.contributor 資管系en_US
dc.creator (作者) 姜國輝zh_TW
dc.creator (作者) 蔡緒浩; Tsai, Hsu-Hao; Chiang, Johannes K.zh_TW
dc.date (日期) 2011-01en_US
dc.date.accessioned 21-Feb-2014 10:57:53 (UTC+8)-
dc.date.available 21-Feb-2014 10:57:53 (UTC+8)-
dc.date.issued (上傳時間) 21-Feb-2014 10:57:53 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64065-
dc.description.abstract (摘要) This paper surveys e-com merce (EC) technology trends and forecasts u sing bibliometric analysis from 1 989 to 200 9 w ith topi c as “e-com merce” i n S SCI da tabase. T he bi bliometric analytical technique is used to examine the topic in SSCI journals from 1989 to 2009, based on the scope of 2655 literatures of EC. This paper implemented and classified EC literatures using the seven catego ries f or diff erent distribution statu s in orde r t o explore h ow EC t echnology trends and applications have developed in th is period. Also, the paper will perform K-S test to verify the reliability of Lotka’s Law. The analysis provides a roadmap to guide future research and a bstract the t rend inf ormation so that EC researchers c an save some t ime sin ce c ore knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications.en_US
dc.format.extent 701498 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) International Journal of Digital Content Technology and its Applications, 5(1), 101-111en_US
dc.source.uri (資料來源) http://www.researchfindr.com/e-commerce-research-trend-forecasting-study-bibliometric-methodologyen_US
dc.subject (關鍵詞) E-commerce; Technology Trend and Forecast; Bibliometric Methodologyen_US
dc.title (題名) E-Commerce Research Trend Forecasting: A Study of Bibliometric Methodologyen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.4156/jdcta.vol5.issue1.12en_US
dc.doi.uri (DOI) http://dx.doi.org/10.4156/jdcta.vol5.issue1.12en_US