DOI QR코드

DOI QR Code

Textmining-Based Analysis for Duty and Knowledge structure of Vocational Counseling Service Industry

텍스트마이닝 기법을 통한 직업상담서비스산업의 직무 및 지식구조 분석

  • Yook, Dong-In (Dept. of vocation, Kyunggi University Graduate School)
  • 육동인 (경기대학교 일반대학원 직업학과)
  • Received : 2017.08.24
  • Accepted : 2017.09.15
  • Published : 2017.09.30

Abstract

This study attempts to analyze the structure of the knowledge and duties of the vocational counseling service industry by using the text mining method and network analysis, which are methods of big data analysis. The subjects of the survey were vocational counseling, job placement and career change support, three fields in the unit elements of competence included in the National Competency Standards (NCS) which areproposed by the government. Although the analysis results of frequently used words showed that all three fields had independent duties, many were overlapping, such as counseling, examination, employment support, etc. for clients, job seekers, and others. The knowledge required by the employees of this field includes many new fields, such as start-up development, lifelong career consulting, job adaptation and culture conflict, besides the five subjects of vocational psychology, vocational counseling, labor market, job information, and law, which are included in the vocational counselor certification examination. Also, we suggested that the consultants adhere to emotional approaches, such as empathy, acceptance and attentiveness, and take a neutral stance. This study isvaluable in that it is the first attempt to objectively analyze the duties of the vocational counseling service field by big data analysis. In addition, it is also meaningful that we first confirmed the difference between the direction of government policy and the actual practice in the field.

본 논문은 빅데이터 분석방법인 텍스트마이닝 기법과 네트워크분석을 활용하여 직업상담서비스 산업의 직무와 지식구조를 분석하기 위한 것이다. 정부에서 추진하는 국가직무능력표준(NCS)에서 제시한 직업상담, 전직지원, 취업알선 세 분야의 능력단위요소를 조사 대상으로 하였다. 사용빈도수가 높았던 단어들에 대한 분석결과 이 세 분야는 각각의 독자적인 직무도 있었지만 내담자, 구직자 등을 대상으로 상담, 검사, 취업지원 등 중복된 직무가 많았다. 직업상담서비스 분야 종사자들에게 요구되는 지식은 직업상담사 자격시험에 포함되어 있는 직업심리학, 직업상담학, 노동시장론, 직업정보론, 법률 등 5가지 외에도 창업, 생애진로, 직업적응, 문화충돌 등 새로운 분야가 다수 포함되어 있었다. 또한 상담자들에게는 공감, 수용, 경청 등 감성적인 접근과 함께 객관적, 가치중립, 정확 등의 태도를 중시하는 등 가치중립적인 입장을 견지할 것을 제시했다. 본 논문은 직업상담서비스분야의 직무를 빅데이터 분석을 통해 객관적으로 분석한 첫 시도라는 점에서 의의가 있다. 또한 정부의 정책방향과 실제 산업 현장의 차이를 처음으로 구체적으로 확인했다는 점도 의미있다고 할 수 있다.

Keywords

References

  1. S. T. Kim, Reorganization of the Social Service Delivery System of Public & Private Employment service, Korea Labor Institute, 2015.
  2. Human Resources Development Service of Korea Q-net, http://www.q-net.or.kr/(accessed, Aug. 3, 2017)
  3. D. I. Yook, "Text-Mining Based Analysis for Research Trends in Vocational Studies", Journal of the Korea Academia-Industrial cooperation Society, vol. 18, no. 3, pp. 586-599, 2017. https://doi.org/10.5762/KAIS.2017.18.3.586
  4. National Competency Standards, http://www.go.kr/ncs/(accessed, Jul. 27, 2017)
  5. Korea Vocational Counselling Association, NCS Standards and Utilizing package : Vocation Counselling, 2013.
  6. R. Feldman, I. Dagan, "Knowledge Discovery in Textual Databases(KDT)" KDD, vol. 95, pp. 112-117, August 1995.
  7. G. Salton, M. J. McGill, Introduction to moden information retrieval, MaGraw-Hill, 1983.
  8. S. S. Lee, Methodology of Network Analysis, Nonhyung, pp. 13-22, 2012.
  9. D. W. Sohn, Analysis of Social Network, pp. 14-15, KyungMoonSam, pp. 14-15, 2002.
  10. S. Gibb, Human resource development: Process, practices and perspectives (2nd ed.). New York: Palgrave Macmillan, 2008.
  11. D. Mankin, Human resource development. Oxford; Oxford university press, 2009.
  12. B. W. Sohn, J. H. Choi, "A Study on the Improvement of Human Resource Management Using NCS-A Study on the Employment Systems of Korean Industrial Manpower Corporation', Proceedings of the Korea Society for Human Resource Management Conference announced, pp. 10-26, 2015.
  13. L. X. Su, J. H. Lee, J. S. Jung, "An Empirical Study for the Effect and Consulting Satisfaction of National Competency Standards", Journal of Business Research, vol. 3, no. 2, pp. 163-195, 2017.
  14. S. K. Lee, Y. S. Ra, "A study on Effect of NCS(National Competency Standards", Journal of Business Education and Human research, vol. 19, no. 2, pp. 57-80, June 2017.
  15. G. Y. Nam, J. S. Yoon, G. H. Im, "The Effect of Learners' Job Competency Development on the Improvement of Their key Competencies in Lifelong Education Based on National Competency Standards(NCS)", Journal of the Korea Academia-Industrial cooperation Society, vol. 18, no. 2, pp. 130-141, 2017. https://doi.org/10.5762/KAIS.2017.18.2.130
  16. C. W. Jeong, J. J. Kim, "Analysis of Trend in Construction Using Textmining Method", Journal of the Korean Digital Architecture Interior Association, Vol. 12, no. 2, pp. 53-60, June 2016.
  17. K. Y. Min, H. T. Kim, Y. K. Ji, "A Pilot Study on Applying Text Mining Tools to Analyzing Steel Industry Trends: A Case Study of the Steel Industry for the Company P", The Journal of Society for e-Business Studies, vol. 19, no. 3, pp. 51-64, August 2016. https://doi.org/10.7838/jsebs.2014.19.3.051
  18. H. J. Kim, N. O. Jo, K. S. Shin, "Text Mining-Based Emerging Trend Analysis for the Aviation Industry", Journal of Intelligent Information Systems, vol. 21, no. 1, pp. 65-82, March 2015. https://doi.org/10.13088/jiis.2015.21.1.65
  19. Y. B. Jung, E. S. Park, "Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining", Tunnel and Underground by using Text Mining", Tunnel and Underground Space, vol. 25, no. 4, pp. 303-319, August 2015. DOI: http://doi.org/10.7474/TUS.2015.25.4.303
  20. J. S. Park, "Research of trends in Busan Regional Innovation Policies Using Text Mining", The Korean Journal of Local Government Studies, vol. 20, no. 1, pp. 1-20, Spring 2016. DOI: https://doi.org/10.20484/klog.20.1.1
  21. J. S. Kim, S. J. Lee, "Revisiting the cause of unemployment problem in Korea's labor market : The job seeker's interest-based topic analysis", Management and Information Systems Review, vol. 35, no. 1, pp. 85-116, March 2016. https://doi.org/10.29214/damis.2016.35.1.005
  22. J. S. Kim, "A Study on the Knowledge Acquisition from Local Companies and Job Seekers using Data Mining Techniques", Journal of Korean Institute of Intelligent Systems, vol. 22, pp. 141-147, April 2012. DOI: https://doi.org/10.5391/JKIIS.2012.22.2.141