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Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective

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  • Liang-Chu Chen

    (Management College, National Defense University)

  • Yen-Hsuan Lien

    (Management College, National Defense University)

Abstract

The increased use of e-learning techniques as an accepted form of teaching has resulted in a growing volume of academic research dedicated to their assessment. Despite the importance of the technique, there is little comprehensive knowledge on e-learning, especially in non-educational fields. Author co-citation analysis (ACA) is an analytical method for identifying the intellectual structure of specific knowledge domains through the relationship between two similar authors. ACA has been applied to many fields, such as information retrieval, knowledge management, and strategic management; however, it has not yet been used to analyze e-learning development. This study examines the intellectual structure of e-learning from the perspective of management information systems (MIS). By applying the ACA method, we analyze and categorize international and Taiwanese research topics into clusters. Our results show that Taiwanese authors put more effort into practical studies of business training, while international authors focus on a users’ psychological reaction to learning context. Altogether, our research provides a clear intellectual analysis of e-learning practices from 1996 to 2009, enabling us to thoroughly study and understand the influence of these techniques on modern education.

Suggested Citation

  • Liang-Chu Chen & Yen-Hsuan Lien, 2011. "Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 867-886, December.
  • Handle: RePEc:spr:scient:v:89:y:2011:i:3:d:10.1007_s11192-011-0458-y
    DOI: 10.1007/s11192-011-0458-y
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    References listed on IDEAS

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    1. Acedo, Francisco José & Casillas, José Carlos, 2005. "Current paradigms in the international management field: An author co-citation analysis," International Business Review, Elsevier, vol. 14(5), pages 619-639, October.
    2. Ruimin Ma & Qiangbin Dai & Chaoqun Ni & Xuelu Li, 2009. "An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 33-46, October.
    3. Ming-yueh Tsay & Hong Xu & Chia-wen Wu, 2003. "Author co-citation analysis of semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 529-545, November.
    4. Dangzhi Zhao & Andreas Strotmann, 2011. "Intellectual structure of stem cell research: a comprehensive author co-citation analysis of a highly collaborative and multidisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 115-131, April.
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    Cited by:

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    5. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
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    7. Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    8. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    9. Kraker, Peter & Schlögl, Christian & Jack, Kris & Lindstaedt, Stefanie, 2015. "Visualization of co-readership patterns from an online reference management system," Journal of Informetrics, Elsevier, vol. 9(1), pages 169-182.

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