Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Learning Agility Using Big Data

빅데이터를 활용한 학습민첩성에 대한 연구

  • Jang, Sung-Jin (majoring in lifelong education and HRD, Ajou University Graduate School) ;
  • Kim, Jung-Jin (Convergence College, Seowon University)
  • Received : 2021.04.04
  • Accepted : 2021.04.20
  • Published : 2021.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to analyze semantic connections between key words related to learning agility through big data analysis to derive new meanings, suggesting the direction future learning agility research should pursue in a special situation called Corona 19. To this end, the Big Data analysis related to learning agility and the subject language were analyzed in domestic journals to present future research directions. Specifically, the study shows that learning agility is emerging as an alternative to rapidly changing social environment changes, such as COVID-19, and to strengthen the core capabilities of future talent. Second, compared to big data analysis results, researchers in academic research can see that research on learning agility is biased toward specific organizations and targets. Third, studies consistent with social perceptions such as targets, issues, and philosophy show that scalability is needed in future studies of learning agility. As the implications of the research results, "COVID-19" was presented as a keyword related to learning agility in 2020 in Big Data analysis. In subsequent studies, it is necessary to establish academically the link between the increase in specific studies and the COVID-19 in 2020. In addition, research on learning agility such as expanding qualitative research that shares social awareness, designing various related words, expanding big data analysis period, expanding collection media, and analyzing overseas research trends was presented.

이 연구의 목적은 빅데이터 분석을 통해 학습민첩성 관련 주요 단어 간 의미연결을 분석하여 새로운 의미를 도출하고 코로나 19라는 특수한 상황에서 학습민첩성 연구가 지향해야 할 방향을 제시하는 데 있다. 이를 위해 학습민첩성과 관련한 빅데이터 분석 및 국내 학술지에 주제어를 분석해 향후 연구방향을 제시하였다. 구체적으로 이 연구에서는 첫째, 급변한 사회 환경 변화 즉 코로나19등 미래의 불확실성에 대한 기민한 대응과 미래인재의 핵심역량 강화를 위한 대안으로 학습민첩성이 대두되고 있음을 알 수 있다. 둘째, 빅데이터 분석결과와 비교하면 학술연구의 연구자들은 학습민첩성에 대한 연구가 특정 조직과 대상에 편중되어 있음을 알 수 있다. 셋째, 향후 학습민첩성 연구에서 대상, 주제, 철학 등 사회적 인식과 방향을 같이 하는 연구로 확장성이 필요함을 알 수 있다. 연구결과를 통한 시사점으로는 빅데이터 분석에서 2020년 학습민첩성 연관키워드로 '코로나'가 제시되었다. 후속연구에서는 2020년 특정연구의 증가와 코로나19의 연관성을 학문적으로 규명할 필요가 있다. 더불어 사회적 인식과 방향을 같이 하는 질적 연구의 확대, 연관된 단어를 활용한 다양한 연구 설계, 빅데이터 분석 기간 확대 및 수집매체 확장, 해외 연구동향을 분석 등 학습민첩성에 대한 연구를 종합하고 비교분석 연구의 필요성이 제시 되었다.

Keywords

References

  1. C. H. Im, Y. E. Wee & H. S. Lee. (2017). A study on the development of the learning agility. The Korean Journal of Human Resource Development Quarterly, 19(2), 81-108. DOI : 10.18211/kjhrdq.2017.19.2.004
  2. De Meuse, K. P., Dai, G. & Hallenbeck, G. S. (2010). Learning agility: A construct whose time has come. Consulting Psychology Journal: Practice and Research, 62(2), 119-130. DOI : 10.1037/a0019988
  3. Lombardo, M. M. & Eichinger, R. W. (2000). High potentials as high leaders. Human Resource Management, 39(4), 321-329. DOI : 10.1002/1099-050X(200024)39
  4. Bedford, C. L. (2011). The role of learning agility in workplace performance and career advancement. Academic Press.
  5. Gravett, L. S. & Caldwell, S. A. (2016). Learning agility: The impact on recruitment and retention. New York: Palgrave Macmillan.
  6. M. A Kim. (2018). The Relationships among Learning Agility, Individual Variables, and Job Variables and Moderation Effects of Positive Error Management Climate of Manufacturing Workers. Doctoral dissertation, Ph. D. Dissertation, Seoul University.
  7. H. K. Jung & H. E. Lee. (2020). An Examination of the Convergent and Discriminant Validity of Learning Agility. The Korean Journal of Human Resource Development Quarterly, 22(1), 131-157. DOI : 10.18211/kjhrdq.2020.22.1.006
  8. S. J. Kang & Y. S. Lee. (2017). A study on social perception of children's smart media education based on big data. The Journal of Korea Open Association for Early Childhood Education, 22(4), 45-72. DOI : 10.20437/KOAECE22-4-03
  9. J. H. Lee, J. M. Lee, W. K. Kim & H. G. Kim. (2017). A Study on Perception of Swimsuit Using Big Data Text-Mining Analysis. Korean Journal of Sport Science, 28(1), 104-116. DOI : 10.24985/kjss.2017.28.1.104
  10. H. H. Rue & H. S. Oh. (2016). Learning agility: Issues and Challenges. The Korean Journal of Human Resource Development Quarterly, 18(4), 119-147. DOI : 10.18211/kjhrdq.2016.18.4.005
  11. Wang, S. & Beier, M. E. (2012). Learning agility: Not much is new. Industrial and Organizational Psychology, 5(3), 293-296. DOI : 10.1111/j.1754-9434.2012.01448.x
  12. N. H. Kim. (2019). Examining Influencing and Performance Factors Related To Learning Agility as the Growth Potential of Employees. Doctoral dissertation, Ph. D. Dissertation, Ewha University.
  13. DeRue, D. S., Ashford, S. J. & Myers, C. G. (2012). Learning agility: In search of conceptual clarity and theoretical grounding. Industrial and Organizational Psychology: Perspectives on Science and Practice, 5(3), 258-279. DOI : 10.1111/j.1754-9434.2012.01444.x
  14. Vicki, S. (2014). Learning Agility: It's a trait of true leaders. Leadership Excellence, 31(2), 10-11.
  15. S. H. Lee & T. J. Cho. (2020). A Study on the Non-linear Relationships Between Role Overload and Learning Agility: The Moderating Effect of Change-Oriented Leadership. Journal of Competency Development & Learning (JCDL), 15(3), 1-29.
  16. Dries, N., Vantilborgh, T. & Pepermans, R. (2012). The role of learning agility and career variety in the identification and development of high potential employees. Personnel Review, 41(3), 340-358. DOI : 10.1108/00483481211212977
  17. Connolly J. (2001). Assessing the construct validity of a measure of learning agility. Unpublished doctoral dissertation. Florida International University, Miami, FL..
  18. Eichinger, R. W. & Lombardo, M. M. (2004). Learning agility as a prime indicator of potential. People and Strategy, 27(4), 12-16.
  19. De Meuse, K. P. (2017). Learning agility: Its evolution as a psychological construct and its empirical relationship to leader success. Consulting Pchology journal: Practice and Research, 69(4), 267-295. DOI : 10.1037/cpb0000100
  20. Mitchinson, A. & Morris, R. (2014). Learning about Learning Agility, Center for Creative leadership. (White Pater, US.).
  21. Smith, B. C. (2015). 「How Does Learning Agile Business Leadership Differ: Exploring a Revised Model of the Construct of Learning Agility in Relation to Executive Performance. doctoral dissertation, Columbia University.
  22. Hotho, A., Nurnberger, A., & PaaB, G. (2005). A brief survey of text mining. Ldv Forum, 20(1), 19-62.
  23. Liu, Z., Yin, Y., Liu, W. & Dunford, M. (2015). Visualizing the intellectual structure and evolution of innovation systems research. A bibliometric analysis. Scientometrics, 103(1), 135-158. DOI : 10.1007/s11192-014-1517-y
  24. S. E. Lee & N. Y. Choi. (2020). A big data analysis of social perceptions of childhood obesity. Journal of the Korean society of child welfare, 68(1), 57-80. DOI : 10.24300/jkscw.2020.3.69.1.57
  25. D. M. Lee. (2017). A Semantic Network Analysis of the Recent Trend of Primary Geography Education Research in South Korea. The Korean Journal of Human Resource Development Quarterly, 25(2), 1-14. DOI : 10.17279/jkagee.2017.25.2.1