African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4188

Full Length Research Paper

Evaluation of human resources in science and technology by using dynamic Malmquist index approach and window analysis

Ying-Chyi Chou1, Chia-Chi Sun2 and  Hsin-Yi Yen3    
1Department of Business Administration, Tunghai University, Taiwan. 2Grade Institute and Department of International Business, Feng-Chia UniversityGrade Institute & Department of International Business, Tamkang University, Taiwan. 3Department of Business Administration, Feng Chia University, Taiwan.    
Email: [email protected]; [email protected]

  •  Accepted: 10 November 2011
  •  Published: 11 April 2012

Abstract

Human resources in science and technology (HRST) are important for promoting national competitiveness. The capacity utilization of HRST refers to the ratio of the amount of output that can be produced using the installed productivity capacity to the optimal output. This study uses data envelopment analysis (DEA) to measure the capacity utilization of global ten countries. Six HRST productivity indexes from the 323 indexes listed in the world competitiveness yearbook published by IMD in 2010 were selected as a reference. In the process, a multiple criteria procedure is used to assess the performance in these nations. Observing the average efficiency values, Japan is the highest with a mean of 1.000. On top of that, Japan has the lowest standard deviation of 0.000. We also can see that the total productivity change score (Malmquist productivity indexes presented in column 5) is higher than one for almost all periods, except for 2008 to 2009 showing that a large proportion of group of ten countries experienced gains in total productivity in the five periods considered. The research provides evidence which establishes whether benchmarking provides a real and lasting benefit to nations. A series of managerial implications are set forth and discussed.

 

Key wordsMalmquist index, window analysis, capacity utilization, data envelopment analysis (DEA).