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A Data-Driven Dynamic Programming Model for Research Position Demand Forecasting

Author

Listed:
  • Yongjia Xie

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Dengsheng Wu

    (Chinese Academy of Sciences)

  • Yuanping Chen

    (Chinese Academy of Sciences)

  • Wenbin Jiao

    (Chinese Academy of Sciences)

  • Jianping Li

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

Abstract

It has been worthy of notice that the number of scientific researchers has experienced a rapid growth in China. Meanwhile, the strict restriction to the total number and the position structure of researchers has exerted great pressure on the Chinese researchers. The decision makers have noticed this dilemma and a quantitative predicting result for decision support is in need. This paper puts forward a data-driven dynamic programming model to estimate the research position demand gap based on the thought of dynamic programming. This model fully considers the real practice of human resource management in scientific management in China. In the empirical study, the personnel data from 2006 to 2014, which are abstracted from the Academia Resource Planning system of the Chinese Academy of Sciences, are applied to the empirical analysis to estimate the human resource demand gap in the 13th Five Year Plan. The results show that there is a big demand gap of the research position on the whole in the next five years.

Suggested Citation

  • Yongjia Xie & Dengsheng Wu & Yuanping Chen & Wenbin Jiao & Jianping Li, 2017. "A Data-Driven Dynamic Programming Model for Research Position Demand Forecasting," Annals of Data Science, Springer, vol. 4(1), pages 19-30, March.
    • Handle: RePEc:spr:aodasc:v:4:y:2017:i:1:d:10.1007_s40745-016-0095-7
    DOI: 10.1007/s40745-016-0095-7
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    References listed on IDEAS

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    1. Dengsheng Wu & Minglu Li & Xiaoqian Zhu & Hongfang Song & Jianping Li, 2015. "Ranking the research productivity of business and management institutions in Asia–Pacific region: empirical research in leading ABS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1253-1272, November.
    2. William J. Abernathy & Nicholas Baloff & John C. Hershey & Sten Wandel, 1973. "A Three-Stage Manpower Planning and Scheduling Model—A Service-Sector Example," Operations Research, INFORMS, vol. 21(3), pages 693-711, June.
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