{"title":"应用灰色关联分析构建企业培训质量体系","authors":"Yung-Hui Lee","doi":"10.30016/JGS.201109.0004","DOIUrl":null,"url":null,"abstract":"In the face of the global market competition environment, the business sector is well aware that ”The key to business organizational development lies in the use of human resources”, thus turning effective and systematic ”educational training” into one of the important management policies for organizational change. In addition to training personnel, enterprises also need good assessment tools. Therefore, with the Taiwan Training Quality System (TTQS) researched and developed in Taiwan, and case company A and B as benchmarks of the actual technology industry, the TTQS was employed. The exploration through the gray correlation analysis method shall serve as a reference for enterprises in their future importation of the TTQS, thereby enabling them to engage in self-assessment based on the resources accessible to them and enhance the overall human resources. The first stage of this study is the data collection stage: the critical assessment factors of the TTQS imported by enterprises were explored through literature review and data collection, which were compiled in the questionnaire. The second stage is the empirical analysis stage: targeting the business management levels of case company A and B and the TTQS related personnel, the questionnaire was implemented. Then, the questionnaire results collected were explored through the grey relational analysis method to obtain the weighting values of the assessment indicators. The results show that the crucial success factors of the TTQS importation obtained varied significantly depending on the different industrial features and sizes. Targeting the two case companies, the importation related suggestions were proposed to enable the enterprises to engage in self-assessment before investing in human resources. In addition, the solution strategies provided in this study served as the reference for enhancing the overall human resource were enhanced.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"107-115"},"PeriodicalIF":1.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Applying Grey Relational Analysis to Construct the Training Quality System in Enterprise\",\"authors\":\"Yung-Hui Lee\",\"doi\":\"10.30016/JGS.201109.0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the face of the global market competition environment, the business sector is well aware that ”The key to business organizational development lies in the use of human resources”, thus turning effective and systematic ”educational training” into one of the important management policies for organizational change. In addition to training personnel, enterprises also need good assessment tools. Therefore, with the Taiwan Training Quality System (TTQS) researched and developed in Taiwan, and case company A and B as benchmarks of the actual technology industry, the TTQS was employed. The exploration through the gray correlation analysis method shall serve as a reference for enterprises in their future importation of the TTQS, thereby enabling them to engage in self-assessment based on the resources accessible to them and enhance the overall human resources. The first stage of this study is the data collection stage: the critical assessment factors of the TTQS imported by enterprises were explored through literature review and data collection, which were compiled in the questionnaire. The second stage is the empirical analysis stage: targeting the business management levels of case company A and B and the TTQS related personnel, the questionnaire was implemented. Then, the questionnaire results collected were explored through the grey relational analysis method to obtain the weighting values of the assessment indicators. The results show that the crucial success factors of the TTQS importation obtained varied significantly depending on the different industrial features and sizes. Targeting the two case companies, the importation related suggestions were proposed to enable the enterprises to engage in self-assessment before investing in human resources. In addition, the solution strategies provided in this study served as the reference for enhancing the overall human resource were enhanced.\",\"PeriodicalId\":50187,\"journal\":{\"name\":\"Journal of Grey System\",\"volume\":\"14 1\",\"pages\":\"107-115\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Grey System\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30016/JGS.201109.0004\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201109.0004","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Applying Grey Relational Analysis to Construct the Training Quality System in Enterprise
In the face of the global market competition environment, the business sector is well aware that ”The key to business organizational development lies in the use of human resources”, thus turning effective and systematic ”educational training” into one of the important management policies for organizational change. In addition to training personnel, enterprises also need good assessment tools. Therefore, with the Taiwan Training Quality System (TTQS) researched and developed in Taiwan, and case company A and B as benchmarks of the actual technology industry, the TTQS was employed. The exploration through the gray correlation analysis method shall serve as a reference for enterprises in their future importation of the TTQS, thereby enabling them to engage in self-assessment based on the resources accessible to them and enhance the overall human resources. The first stage of this study is the data collection stage: the critical assessment factors of the TTQS imported by enterprises were explored through literature review and data collection, which were compiled in the questionnaire. The second stage is the empirical analysis stage: targeting the business management levels of case company A and B and the TTQS related personnel, the questionnaire was implemented. Then, the questionnaire results collected were explored through the grey relational analysis method to obtain the weighting values of the assessment indicators. The results show that the crucial success factors of the TTQS importation obtained varied significantly depending on the different industrial features and sizes. Targeting the two case companies, the importation related suggestions were proposed to enable the enterprises to engage in self-assessment before investing in human resources. In addition, the solution strategies provided in this study served as the reference for enhancing the overall human resource were enhanced.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.