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A bibliometric approach to finding fields that co-evolved with information technology

Author

Listed:
  • Shino Iwami

    (Osaka University
    University of Jyväskylä)

  • Arto Ojala

    (University of Jyväskylä)

  • Chihiro Watanabe

    (University of Jyväskylä
    International Institute for Applied Systems Analysis (IIASA))

  • Pekka Neittaanmäki

    (University of Jyväskylä)

Abstract

Among the declining industries, for example music industry, some have been revived by information technology (IT). At the same time, in academic fields, some have expected co-evolutions between IT and other fields to cause the resurgence of either field. In this research, the clustering of citation networks with 14,438 academic papers resulted in the identification of 28 academic fields in the areas “Computer Science” or “Information Science and Library Science.” Co-evolutions between these 28 fields and citing fields to the 28 fields were evaluated by an investigation of contents; a methodology to search co-evolutions was also proposed. This paper proposes that pairs of academic fields (with both high correlation and high dissimilarity) co-evolve, and some co-evolving pairs of academic fields were found. This research contributes to the discovery of the co-evolution between academic fields.

Suggested Citation

  • Shino Iwami & Arto Ojala & Chihiro Watanabe & Pekka Neittaanmäki, 2020. "A bibliometric approach to finding fields that co-evolved with information technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 3-21, January.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03284-9
    DOI: 10.1007/s11192-019-03284-9
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    References listed on IDEAS

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    4. J. van der Pol & J-P. Rameshkoumar & D. Virapin & B. Zozime, 2015. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Post-Print hal-02269511, HAL.
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    Cited by:

    1. Wang, Xinxin & Xu, Zeshui & Qin, Yong & Skare, Marinko, 2021. "Service networks for sustainable business: A dynamic evolution analysis over half a century," Journal of Business Research, Elsevier, vol. 136(C), pages 543-557.
    2. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    3. Xiaoguang Wang & Hongyu Wang & Han Huang, 2021. "Evolutionary exploration and comparative analysis of the research topic networks in information disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4991-5017, June.
    4. Casprini, Elena & Dabic, Marina & Kotlar, Josip & Pucci, Tommaso, 2020. "A bibliometric analysis of family firm internationalization research: Current themes, theoretical roots, and ways forward," International Business Review, Elsevier, vol. 29(5).

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