Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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A Study on Forecasting Manpower Demand for Smart Shipping and Port Logistics

스마트 해운항만물류 인력 수요 예측에 관한 연구

  • Sang-Hoon Shin (Business School, Cardiff University) ;
  • Yong-John Shin (Div. of Maritime Management and Economy, Korea Maritime and Ocean University)
  • Received : 2023.02.15
  • Accepted : 2023.04.11
  • Published : 2023.06.30
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Abstract

Trend analysis and time series analysis were conducted to predict the demand of manpower under the smartization of shipping and port logistics with transportation survey data of Statistic Korea during the period from 2000 to 2020 and Statistical Yearbook data of Korean Seafarers from 2004 to 2021. A linear regression model was adopted since the validity of the model was evaluated as the highest in forecasting manpower demand in the shipping and port logistics industry. As a result of forecasting the demand of manpower in autonomous ship, remote ship management, smart shipping business, smart port, smart warehouse, and port logistics service from 2021 to 2035, the demand for smart shipping and port logistics personnel was predicted to increase to 8,953 in 2023, 20,688 in 2030, and 26,557 in 2035. This study aimed to increase the predictability of manpower demand through objective estimation analysis, which has been rarely conducted in the smart shipping and port logistics industry. Finally, the result of this research may help establish future strategies for human resource development for professionals in smart shipping and port logistics by utilizing the demand forecasting model described in this paper.

4차 산업혁명의 영향으로 해운항만물류산업의 스마트화에 따른 전문인력의 수요를 예측하기 위하여 통계청의 2000년~2020년 기간의 운수업조사 자료와 해양수산부의 한국선원통계연보 2004년~2021년도 자료를 활용하여 추세분석과 시계열 분석을 실시하였다. 해운항만물류산업의 인력 수요 예측에서 추세분석의 선형회귀모형의 타당성이 가장 높은 것으로 평가되어 이를 적용하였다. 자율운항선 해기인력, 원격선박관리인력, 스마트 해운비즈니스 인력, 스마트 항만인력. 스마트 창고인력, 스마트 해운항만물류 서비스 인력의 2021~2035년 기간의 인력 수요를 예측한 결과, 스마트 해운항만물류인력 수요는 2023년 8,953명, 2030년 20,688명, 2035년 26,557명으로 증가하는 것으로 예측되었다. 이 연구는 스마트 해운항만물류 인력수요에 대한 연구가 아직 이루어지지 않은 상태에서 스마트 인력수요를 통계자료에 근거하여 객관적으로 추정함으로써 인력 수요의 예측 가능성을 높이고, 향후 필요 전문인력 양성 방안을 수립하는데 기여할 것으로 기대된다.

Keywords

References

  1. Ahn, Y. G. and Kim, B. R.(2021), A Study on the Demand for Technology Development to Lead the Smartization of the Shipping Industry, Korea International Commerce Review, Vol. 36, No. 1, pp. 105-127.
  2. Choi, S. H.(2012), Smart port logistics technology leading the future, The journal of Korea Institute of Electronics Engineers Vol. 39, No. 5, pp. 39-46.
  3. Han, C. H.(2005), A Study on the Demand-Supply Forecast and Promotion of Port-Logistics Manpower in Korea, Korea Logistics Review, Vol. 15, No. 1, pp. 47-72.
  4. Han, H. J.(2015), The study on the Forecasting of Human Resource Demand and supply plan in Shipping & Port, Logistics Industry, Master thesis of Korea Maritime and Ocean University.
  5. Hwang, J. H., Ahn, Y. K. and Kim, J. H.(2017), A Study on the Policy Direction of Shipping Industry in the 4th Industrial Revolution, Korea Maritime Institution.
  6. Jeon, S. K.(2020), Asking for a way to manage human resources for creative management, Changmyung.
  7. Jeon, Y. W., Shin, Y. J., Kim. T. K., Hong, S. H., Lee, C. H., Cho, S. H., Pai, H. S. and Kim, K. S.(2020), A study on the necessity and plan of training the next-generation marine office, Korea Shipowners' Association, Korea Shipping Association, Korea Ship Managers' Association, Federation of Korean Seafarers' Unions, Korea Marine Officers' Association.
  8. Jo, S. H.(2018), A study on the change of the size and the structure of Korean maritime manpower by technological development of MASS using system dynamics, Phd. thesis of Korea Maritime and Ocean University.
  9. Kim, H. T.(2006), A Study on the Concept, Current Status of Port Logistics Cluster, and its Construction Policy, Ocean and Fisheries, Vol. 260, pp. 6-22.
  10. Kim, J. H.(2020), The Cases of technology creating smart warehouses of the future, Korean Logistics News, 2020.03.16.
  11. Kim, W. H. and Ko. B. W.(2010), Prospects on the Demand and Supply of the Professionals in the Shipping Industry and Policy Recommendations, Korea Maritime Institution.
  12. Lee, C. Y.(1988), Port Logistics System, Hyosung Publication.
  13. Lee, E, K., Kang, M. H., Lee, S, Y., Kang, H. S. and Jeon, H. L.(2017), A Study on the Improvement of Port Logistics Industry in the Era of the 4th Industrial Revolution, Korea Maritime Institution.
  14. Lee, E. K. and Lee, S. Y.(2019), A Comparative Analysis on the Level of the Korean Smart Port in the Era of 4th Industrial Revolution, Journal of Shipping and Logistics, Vol. 35, No. 2, pp. 323-348. https://doi.org/10.37059/tjosal.2019.35.2.323
  15. Lee, E, K., Lee, S, Y., Kim, Y. H. Kim, H. J. and Bae, J. J.(2019), Joint promotion of digital connection is the first step in building an effective smart port, KMI WEEKLY REPORT, Vol. 159, Korea Maritime Institution.
  16. Lee, H. Y., Jeon, J. W. and Yeo, G. T.(2014), Forecasting and suggesting strategies for smooth marine seafarers' supply and demand using System Dynamics method, Journal of Shipping and Logistics, Vol. 30, No. 3, pp. 759-783 . https://doi.org/10.37059/TJOSAL.2014.30.3.759
  17. Lee, J. K., Shin, S. H. and Shin, Y. J.(2022), The Forecasting of Demand and Supply and the Diagnosis and Countermeasure of Manpower Shortage of Korean Merchant Marine Officer, Vol. 39, No. 3, pp. 625-651.
  18. Lee, S. K.(2022), The Digital New Deal Paradigm and the Role of the Logistics Sector, Monthly Human Settlements, Vol. 484, pp. 2-4.
  19. Ministry of Employment and Labor(2018), 2016-2030 Prospects for Manpower Demand in the 4th Industrial Revolution.
  20. Ministry of Oceans and Fisheries(2019), Research on Development of Smart Port.
  21. Ministry of Oceans and Fisheries(2004-2021), Statistical Yearbook of Korean Seafarers.
  22. Papanikolaou, A., Zaraphonitis, G., Gregersen, E. B., Shigunov, V., Moctar, O, EI,, Soares, C. G., Reddy, D. N. and Sprenger, F.(2016). Energy Efficient Safe Ship Operation, Transportation Research Procedia, Vol. 14, pp. 820-829. https://doi.org/10.1016/j.trpro.2016.05.030
  23. Park, B. J.(2022), Gyeongnam Smart Port Logistics Manpower Development Plan, Gyeongnam Development. Vol. 160, pp. 50-59.
  24. Park, C. H., Jeon, S. S., Shin, Y. T., Lee, C. H., Kim, S. T., Kim, W. S., Roo, W., Nam, H. S., Kim, K. S., Son, S. P., Lee, S. E., Kim, D. K. and Lee, J. H.(2018), Research on the establishing Supply and Demand Plan and Basic Policy of Seafarer, International Logistics Research Association, Korea Institute of Maritime and Fisheries Technology, Korea Standard Quality Advancement Forum.
  25. Park, S. B., Kim, J. W., Jeon, S. I., Kim C. W., Choi, E. J., Lee, C. H. and Heo, Y. S.(2012), Effective demand forecasting methods and cases, SERI Issue Paper, amsung Global Research.
  26. Park, S. J., Pai, H. S. and Shin, Y. J.(2012), A Study on the Demand Estimation of the Crew in Domestic Coastal Shipping Industry, Journal of Navigation and Port Research, Vol. 36, No. 3. pp. 205-123.
  27. Shin, K. S., Lee, H. S., Ha, M. H., Han, J. K., Kong, I. T. and Seo, H. S.(2018), A study on predicting the business model of the shipping industry according to the 4th industrial revolution, Ministry of Oceans and Fisheries.
  28. Shin, Y. J., Oh, J. S., Shin, S. H. and Jang, H. Y.(2018), A Study on the Countermeasures of Shipping and Port Logistics Industry in Responding to the Progression of Fourth Industrial Revolution, Journal of Navigation and Port Research, Vol. 42, No. 5. pp. 347-355.
  29. Shin, Y. J., Pai, H. S. and Shin, Y. R.(2012), A Study on the Modeling of Forecasting Demand on Labor Force in Korean Logistics Industry, Korea Maritime Institution.
  30. Statistics Korea(2000-2020), Transportation Survey 2000-2015, (9th Korean standard industrial classification), 2007-2020 (10th Korean standard industrial classification).
  31. Statistics Korea(2018-2020), Statistics in Logistics Industry 2018-2020 (10th Korean standard industrial classification).
  32. Yoo, H. S. and Kim, Y. S.(2019), Prediction of change in manpower structure of port logistics and job creation plan according to the 4th industrial revolution, Korea Society for Quality Management KSQM Autumn Conference, p. 123.
  33. Yun, H. S., Ko, B. W., Park, Y. A., Park, H. R., Jeon, H. J., Choi, W. S. and Han, S. I.(2017), A Study on Shipping Market Analysis Using Big Data Analytics - The Identification of Big Data, Korea Maritime Institution.