Based on the survey data from the questionnaire of Quality Management of Pharmaceutical Production Enterprises in Anhui Province, this research examines the relationship between the number of employees and inspection for GMP of pharmaceutical manufacturers by adopting OLS model and Logit model. We find that the more employees there are, the better their inspection results are. Enterprises with large number of employees generally have plenty people to deal with the problems of quality supervision in the production of pharmaceuticals and have a good knowledge of GMP. They can produce high quality medicines. Therefore, small companies should be supervised frequently. In daily supervision, through the number of employees, it can quickly judge the pros and cons of the quality management level of the company, which is beneficial to allocate regulatory resources rationally.
Saraph, J.V., Benson, P.G. and Schroeder, R.G. (1989) An Instrument for Measuring the Critical Factors of Quality Management. Decision Science, 20, 810-829.
https://doi.org/10.1111/j.1540-5915.1989.tb01421.x
Anderson, J.C., Rungtusanatham, M. and Schroeder, R.G. (1994) A Theory of Quality Management Underlying the Deming Management Method. Academy of Management Review, 19, 472-509. https://doi.org/10.5465/amr.1994.9412271808
Kaynak, H. (2003) The Relationship between Total Quality Management Practices and Their Effects on Firm Performance. Journal of Operations Management, 21, 405-435. https://doi.org/10.1016/S0272-6963(03)00004-4
Guest, D.E. (2011) Human Resource Management and Performance: Still Searching for Some Answers. Human Resource Management Journal, 21, 3-13.
https://doi.org/10.1111/j.1748-8583.2010.00164.x
Jiang, K.F., Lepak, D.P., Hu, J. and Baer, J.C. (2012) How Does Human Resource Management Influence Organizational Outcomes? A Meta-Analytic Investigation of Mediating Mechanisms. The Academy of Management Journal, 55, 1264-1294.
https://doi.org/10.5465/amj.2011.0088
Jiang, Q.Y., Gao, S.Y. and Wang, D.D. (2008) Research on Total Factor Productivity of Agricultural Product Processing Industry and Its Influencing Factors, Based on Industry Panel Data of Anhui Province. Journal of Yunnan Agricultural University (Social Science), 12, 78-83.
Luo, Y.X. and Xing, H. (2018) Research on Influencing Factors of R & D Efficiency of Pharmaceutical Enterprises in China. Family Medicine, 12, 231-232.
Ishibashi, T., Kusama, M. and Sugiyama, Y. (2012) Analysis of Regulatory Review Times of New Drugs in Japan: Association with Characteristics of New Drug Applications, Regulatory Agency, and Pharmaceutical Companies. Journal of Clinical Pharmacy and Therapeutics, 37, 657-663.
https://doi.org/10.1111/j.1365-2710.2012.01363.x
Dai, J.H. and Zheng, Q. (2014) Application of Statistics Methodology in Pharmaceutical Research and Development, Manufacturing and Quality Management. Chinese Journal of New Drugs, 23, 1024-1048.
