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Identifying trends in nursing start-ups using text mining of YouTube content

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  • Ji Young Lim
  • Seulki Kim
  • Juhang Kim
  • Seunghwan Lee

Abstract

This study uses YouTube content to explore trends in nursing start-ups. YouTube content can be used to understand the current trends regarding interest and awareness in various fields. The study was conducted in three stages: text mining, Delphi survey, and comparison. The frequency and degree centrality of keywords were analyzed in the text mining stage. In the Delphi survey, the 100 most frequent keywords were classified using a synthesis framework for nursing start-ups. In the comparison stage, the results of text mining and the Delphi survey were matched using a 2x2 matrix. Text mining identified “area,” “business,” “competence,” “idea,” and “success” as the most commonly used keywords. The keywords that showed the highest level of classification agreement in Delphi were “motivation,” “advice,” “obstacle,” “business,” “charisma,” and “result.” In the comparison using a 2x2 matrix, “dream,” “idea,” “opportunity,” “leadership,” “success,” “benefit,” and “satisfaction” emerged. The results indicate that interest in nursing start-ups develops at an early stage. In order to encourage nursing start-ups, it is necessary to strengthen business skills such as finance and budgeting, establish active policy support for such start-ups, and develop new nursing start-up items appropriate for the Fourth Industrial Revolution.

Suggested Citation

  • Ji Young Lim & Seulki Kim & Juhang Kim & Seunghwan Lee, 2020. "Identifying trends in nursing start-ups using text mining of YouTube content," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-14, February.
  • Handle: RePEc:plo:pone00:0226329
    DOI: 10.1371/journal.pone.0226329
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    References listed on IDEAS

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    1. Jeppe Nicolaisen, 2010. "Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(1), pages 205-207, January.
    2. Jeppe Nicolaisen, 2010. "Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 205-207, January.
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