政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76010
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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76010


    Title: Trend analysis of supply chain management by bibliometric methodology
    Authors: Tsai, Hsu-Hao;Chi, Yan-Ping
    蔡緒浩;季延平
    Contributors: 資管系
    Keywords: Analytical techniques;Bibliometric analysis;Bibliometric methodology;Different distributions;K-S test;Lotka`s laws;Roadmap;Technology trend and forecast;Technology trends;Trend analysis;Forecasting;Technology;Supply chain management
    Date: 2011-01
    Issue Date: 2015-06-22 14:28:18 (UTC+8)
    Abstract: This paper surveys supply chain management (SCM) technology trends and forecasts using bibliometric analysis from 1989 to 2009 with topic as "supply chain management" in SSCI database. The bibliometric analytical technique is used to examine the topic in SSCI journals from 1989 to 2009, based on the scope of 2558 literatures of SCM. This paper implemented and classified SCM literatures using the seven categories for different distribution status in order to explore how SCM technology trends and applications have developed in this 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 abstract the trend information so that SCM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
    Relation: International Journal of Digital Content Technology and its Applications, 5(1), 285-295
    Data Type: article
    DOI link: http://dx.doi.org/10.4156/jdcta.vol5.issue1.31
    DOI: 10.4156/jdcta.vol5.issue1.31
    Appears in Collections:[Department of MIS] Periodical Articles

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