DOI QR코드

DOI QR Code

Analyzing Trends in Organizational Effectiveness(Job Satisfaction, Organizational Commitment, Organizational Citizenship Behavior) Research: Focusing on SCOPUS DB

조직유효성(직무만족, 조직몰입, 조직시민행동) 연구 동향 분석: SCOPUS DB를 중심으로

  • Jae-Boong Kim (Department of Business Administration, Korea National University of Transportation)
  • 김재붕 (한국교통대학교 경영학과)
  • Received : 2023.12.23
  • Accepted : 2024.01.20
  • Published : 2024.01.28

Abstract

This paper aims to identify the major research trends in organizational effectiveness over the past 20 years. For this purpose, SCOPUS, an international academic database provided by Elsevier, was used to identify research trends in organizational effectiveness over the past 24 years (2000~2023). According to the frequency analysis, there were 2,789 cases of organizational, 2,714 cases of effectiveness, 850 cases of management, 689 cases of performance, 632 cases of organizations, and 597 cases of leadership. Trend analysis. While effectiveness and organizational have been consistently researched, the trends of leadership and management have been declining in recent years. LDA analysis shows that effectiveness and organizational are important topics. This shows that it is important to be able to predict the future when it is difficult to predict the future. The results of this study can be used as a guide for companies to establish organizational management at a strategic level and improve organizational effectiveness.

본 논문은 조직유효성에 대한 최근 20여년간의 주요 연구 동향을 파악하는데 있다. 이에 Elsevier에서 제공하는 해외 학술 데이터베이스인 SCOPUS를 활용하여 최근 24년간(2000~2023) 조직유효성의 연구 동향을 파악하였다. 빈도 분석결과, organizational 2,789건, effectiveness 2,714건, management 850건, performance 689건, organizations 632건, leadership 597건 순으로 나타났다. 트랜드 분석 결과. effectiveness와 organizational은 꾸준하게 연구가 진행되고 있으나, leadership, management의 트랜드는 최근 들어서는 다소 감소하고 있는 것으로 나타났다. LDA 분석 결과 effectiveness와 organizational이 중요한 토픽으로 나타났는데, 이는 현재와 같이 미래를 예측하기 어려울 때 사전에 예측하는 능력이 중요하다는 것을 보여주고 있다. 본 연구결과는 기업에서 전략적인 차원으로 조직의 운영방안을 수립하고 이를 통해 조직의 유효성을 높이는데 있어 지침으로 활용이 가능할 것으로 보인다.

Keywords

Acknowledgement

This was supported by Korea National University of Transportation in 2022.

References

  1. Lee H. G.(2021). A Study on the Effect of Types of Organizational Culture on Organizational Effectiveness. Hannam University Doctoral thesis.
  2. Han, M. S., & Lee, Y. S. (2023). A Review on the Organizational Effectiveness. Knowledge Management Review, 24(1), 173-193.
  3. Barnard, C. I. (1938). The function of the executive. Cambridge, M. A.: Harvard University Press.
  4. Georgopolos, B. R., & Tannenbaum, A. S. (1957). A study of organizational effectiveness. American Sociological Review, 22, 534-540. https://doi.org/10.2307/2089477
  5. Porter, L. W., Steers, R. M., Mowday, R. T., & Boulian, P. V. (1974). Organizational commitment, job satisfaction, and turnover among psychiatric technicians. Journal of Applied Psychology, 16, 1-21.
  6. KASOM(2021). Introduction to Big Data. kwangmoonkag.
  7. Wang, L. L., & Lo, K. (2021). Text mining approaches for dealing with the rapidly expanding literature on COVID-19. Briefings in Bioinformatics, 22(2), 781-799. https://doi.org/10.1093/bib/bbaa296
  8. YI ZHAO, Jinhyeon Sohn. (2023). Analysis of the COVID-19 Research Trend : Focusing on SCOPUS DB. Journal of Industrial Convergence, 21(2), 17-23. https://doi.org/10.22678/JIC.2023.21.2.017
  9. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), 993-1022.
  10. Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National academy of Sciences, 101(suppl_1), 5228-5235.
  11. Park, E. M., & Seo, J. H. (2020). Analysis of Research Trends in Technology Innovation: Focus on SCOPUS DB. Journal of Convergence for Information Technology, 10(8), 120-126.
  12. Kim, I. G., Park, S. T., Park, S. S., Kim, M. S., Park, J. C., & Jiang, J. (2021). Analysis on Research Trends in Sport Facilities: Focusing on SCOPUS DB. Journal of Industrial Convergence, 19(6), 11-19.
  13. Park, S. T., & Liu, C. (2020). A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews. Personal and Ubiquitous Computing, 1-17.
  14. Li, G., Dai, J. S., Park, E. M., & Park, S. T. (2017). A study on the service and trend of Fintech security based on text-mining: Focused on the data of Korean online news. Journal of Computer Virology and Hacking Techniques, 13(4), 249-255. https://doi.org/10.1007/s11416-016-0288-9
  15. Ko, M. H., Park, E. M., & Park, S. T. (2018). Mining the open science: Themes and trends 10 years of open science. Journal of Advanced Research in Dynamical and Control Systems, 10(1), 263-270.
  16. Park, S. T., Lee, S. W., & Kang, T. G. (2018). A study on the trend of cloud service and security through text mining technique. International Journal of Engineering & Technology, 7(2.33), 127-132.