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台湾半导体产业人才培养项目管理研究:混合数据包络分析方法的应用

A study of the talent training project management for semiconductor industry in Taiwan: the application of a hybrid data envelopment analysis approach.

作者信息

Kao Ling-Jing, Chiu Shu-Yu, Ko Hsien-Tang

机构信息

Department of Business Management, National Taipei University of Technology, Taipei 10608, Taiwan.

Department of Business Administration, Fu Jen Catholic University, Taipei 24205, Taiwan.

出版信息

ScientificWorldJournal. 2014;2014:296345. doi: 10.1155/2014/296345. Epub 2014 Apr 8.

Abstract

The purpose of this study is to evaluate the training institution performance and to improve the management of the Manpower Training Project (MTP) administered by the Semiconductor Institute in Taiwan. Much literature assesses the efficiency of an internal training program initiated by a firm, but only little literature studies the efficiency of an external training program led by government. In the study, a hybrid solution of ICA-DEA and ICA-MPI is developed for measuring the efficiency and the productivity growth of each training institution over the period. The technical efficiency change, the technological change, pure technical efficiency change, scale efficiency change, and the total factor productivity change were evaluated according to five inputs and two outputs. According to the results of the study, the training institutions can be classified by their efficiency successfully and the guidelines for the optimal level of input resources can be obtained for each inefficient training institution. The Semiconductor Institute in Taiwan can allocate budget more appropriately and establish withdrawal mechanisms for inefficient training institutions.

摘要

本研究旨在评估培训机构的绩效,并改善台湾半导体研究所管理的人力培训项目(MTP)的管理。许多文献评估了企业发起的内部培训项目的效率,但很少有文献研究政府主导的外部培训项目的效率。在本研究中,开发了一种独立成分分析 - 数据包络分析(ICA - DEA)和独立成分分析 - 曼奎斯特生产力指数(ICA - MPI)的混合解决方案,用于衡量各培训机构在该时期的效率和生产率增长。根据五种投入和两种产出,评估了技术效率变化、技术进步、纯技术效率变化、规模效率变化和全要素生产率变化。根据研究结果,可以成功地按效率对培训机构进行分类,并为每个低效培训机构获得投入资源最优水平的指导方针。台湾半导体研究所可以更合理地分配预算,并为低效培训机构建立退出机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ab/4000977/d361eff906ea/TSWJ2014-296345.001.jpg

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