Volume 42, Issue 1 (January 2014)

    Bibliometric and Social Network Analysis for Data Mining: The Intellectual Structure of Tourism Destination Literature

    (Received 20 September 2013; accepted 10 May 2013)

    Published Online: 2013

    CODEN: JTEOAD

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    Abstract

    Data mining can extract useful information from large databases. This paper presents the evolution of the intellectual structure in tourism destination literature as determined by means of bibliometric and social network analysis of 17 552 citations of 414 articles published in Social Sciences Citation Index and Sciences Citation Index journals from 1955 to 2011. This study found that tourism destination research is organized into four different concentrations of interest: destination image, tourist experience and stakeholder involvement, structural equation modeling, and customer relationship management. Future tourism destination research will probably continue to focus on these topics. This study presents a new way for researchers to profile development patterns objectively and provides a key reading method for searching useful research directions.


    Author Information:

    Wang, Cheng-Hua
    Associate Professor, Graduate School of Business and Operations Management, Chang Jung Christian Univ., Tainan City, Gueiren District

    Chen, Shiu-Chun
    Ph.D. Student, Graduate School of Business and Operations Management, Chang Jung Christian Univ., Tainan City, Gueiren District


    Stock #: JTE20120285

    ISSN: 0090-3973

    DOI: 10.1520/JTE20120285

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    Author
    Title Bibliometric and Social Network Analysis for Data Mining: The Intellectual Structure of Tourism Destination Literature
    Symposium , 0000-00-00
    Committee F30