{"title":"质量管理实践关键成功因素的规模发展:来自印度制造业中小企业的证据","authors":"R. Srinivas, D. Swamy, T. S. Nanjundeswaraswamy","doi":"10.1504/ijqet.2019.104886","DOIUrl":null,"url":null,"abstract":"In developing countries like India, the level of awareness about quality management practices (QMP) in small and medium enterprises (SMEs) has increased recently. This study attempts to develop and validate a QMP scale for manufacturing SMEs. Using Pareto analysis vital QMP factors were identified and questionnaire was administered to 750 SMEs with 68.5% response rate. In order to extract and validate the latent factors, exploratory factor analysis coupled with confirmatory factor analysis was used. Further, structural equation modelling (SEM) was deployed for determining interrelationships of extracted factors. This resulted in seven-QMP factors with R = (0.50-0.81) and R-squared values ranged between 0.23-0.66 representing the variation in 35 items. The study contributes to QMP literature, by bestowing empirical data on QMP factors which are more appropriate for manufacturing SMEs. Though the study was conducted in Indian SMEs context, the research outcomes may be applicable for general manufacturing firms with slight modifications.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijqet.2019.104886","citationCount":"2","resultStr":"{\"title\":\"Scale development of critical success factors for quality management practices: evidence from Indian manufacturing SMEs\",\"authors\":\"R. Srinivas, D. Swamy, T. S. Nanjundeswaraswamy\",\"doi\":\"10.1504/ijqet.2019.104886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In developing countries like India, the level of awareness about quality management practices (QMP) in small and medium enterprises (SMEs) has increased recently. This study attempts to develop and validate a QMP scale for manufacturing SMEs. Using Pareto analysis vital QMP factors were identified and questionnaire was administered to 750 SMEs with 68.5% response rate. In order to extract and validate the latent factors, exploratory factor analysis coupled with confirmatory factor analysis was used. Further, structural equation modelling (SEM) was deployed for determining interrelationships of extracted factors. This resulted in seven-QMP factors with R = (0.50-0.81) and R-squared values ranged between 0.23-0.66 representing the variation in 35 items. The study contributes to QMP literature, by bestowing empirical data on QMP factors which are more appropriate for manufacturing SMEs. Though the study was conducted in Indian SMEs context, the research outcomes may be applicable for general manufacturing firms with slight modifications.\",\"PeriodicalId\":38209,\"journal\":{\"name\":\"International Journal of Quality Engineering and Technology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/ijqet.2019.104886\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Quality Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijqet.2019.104886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quality Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijqet.2019.104886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Scale development of critical success factors for quality management practices: evidence from Indian manufacturing SMEs
In developing countries like India, the level of awareness about quality management practices (QMP) in small and medium enterprises (SMEs) has increased recently. This study attempts to develop and validate a QMP scale for manufacturing SMEs. Using Pareto analysis vital QMP factors were identified and questionnaire was administered to 750 SMEs with 68.5% response rate. In order to extract and validate the latent factors, exploratory factor analysis coupled with confirmatory factor analysis was used. Further, structural equation modelling (SEM) was deployed for determining interrelationships of extracted factors. This resulted in seven-QMP factors with R = (0.50-0.81) and R-squared values ranged between 0.23-0.66 representing the variation in 35 items. The study contributes to QMP literature, by bestowing empirical data on QMP factors which are more appropriate for manufacturing SMEs. Though the study was conducted in Indian SMEs context, the research outcomes may be applicable for general manufacturing firms with slight modifications.
期刊介绍:
IJQET fosters the exchange and dissemination of research publications aimed at the latest developments in all areas of quality engineering. The thrust of this international journal is to publish original full-length articles on experimental and theoretical basic research with scholarly rigour. IJQET particularly welcomes those emerging methodologies and techniques in concise and quantitative expressions of the theoretical and practical engineering and science disciplines.