Investigating the linkage between total quality management and environmentally responsible manufacturing
This paper explicitly examines the relationship that exists between total quality management (TQM) and environmentally responsible manufacturing (ERM) systems. It has been presumed in numerous past studies that such a relationship does exist. It has been argued that those firms that have successfull...
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Veröffentlicht in: | IEEE transactions on engineering management 2000-11, Vol.47 (4), p.444-464 |
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creator | Curkovic, S. Melnyk, S.A. Handfield, R.B. Calantone, R. |
description | This paper explicitly examines the relationship that exists between total quality management (TQM) and environmentally responsible manufacturing (ERM) systems. It has been presumed in numerous past studies that such a relationship does exist. It has been argued that those firms that have successfully implemented a TQM system are better positioned to successfully implement an ERM system. This relationship, however, has not yet been statistically and empirically evaluated. In this study, the authors evaluate this relationship using a large-scale survey of plant managers as the data source and confirmatory factor analysis and structural equation modeling as the statistical tools. The study develops a series of measures for various aspects of both TQM and ERM. The results show that there is indeed a strong relationship between TQM and ERM. In many ways, ERM is conditioned by the presence of TQM. Furthermore, ERM systems have a parallel structure when compared to TQM systems. |
doi_str_mv | 10.1109/17.895340 |
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It has been presumed in numerous past studies that such a relationship does exist. It has been argued that those firms that have successfully implemented a TQM system are better positioned to successfully implement an ERM system. This relationship, however, has not yet been statistically and empirically evaluated. In this study, the authors evaluate this relationship using a large-scale survey of plant managers as the data source and confirmatory factor analysis and structural equation modeling as the statistical tools. The study develops a series of measures for various aspects of both TQM and ERM. The results show that there is indeed a strong relationship between TQM and ERM. In many ways, ERM is conditioned by the presence of TQM. 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It has been presumed in numerous past studies that such a relationship does exist. It has been argued that those firms that have successfully implemented a TQM system are better positioned to successfully implement an ERM system. This relationship, however, has not yet been statistically and empirically evaluated. In this study, the authors evaluate this relationship using a large-scale survey of plant managers as the data source and confirmatory factor analysis and structural equation modeling as the statistical tools. The study develops a series of measures for various aspects of both TQM and ERM. The results show that there is indeed a strong relationship between TQM and ERM. In many ways, ERM is conditioned by the presence of TQM. Furthermore, ERM systems have a parallel structure when compared to TQM systems.</description><subject>Conditioning</subject><subject>Data sources</subject><subject>Engineering management</subject><subject>Environmental factors</subject><subject>Environmental protection</subject><subject>Factor analysis</subject><subject>Linkages</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Quality management</subject><subject>Social responsibility</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Total quality</subject><subject>Total quality management</subject><issn>0018-9391</issn><issn>1558-0040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90U1LAzEQBuAgCtbqwaun4EH0sDWfm81Ril8geNHzku7O1miabZNspf_elBYPHjwNL_MwwzAInVMyoZToW6omlZZckAM0olJWBSGCHKIRIbQqNNf0GJ3E-JmjkIyM0MezX0NMdm6S9XOcPgA767_MHPAM0jeAx6lPxuHVYJxNG7wwPjcX4BM2vsXg1zb0fpuNcxscIC57H-3MwZYOnWnSEPLoU3TUGRfhbF_H6P3h_m36VLy8Pj5P716KhnOVCl4xxZmkLTFNR0ulGQcmdZsTtKUG1jVECmVarrWZVYyokutOlIw1qhVc8jG62s1dhn415NPqhY0NOGc89EOsWSWUEEpleP0vzMspk0oTnenlH_rZD8HnM2qqZSkqzbboZoea0McYoKuXwS5M2NSU1Nvf1FTVu99ke7GzFgB-3b75A2fRilU</recordid><startdate>20001101</startdate><enddate>20001101</enddate><creator>Curkovic, S.</creator><creator>Melnyk, S.A.</creator><creator>Handfield, R.B.</creator><creator>Calantone, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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It has been presumed in numerous past studies that such a relationship does exist. It has been argued that those firms that have successfully implemented a TQM system are better positioned to successfully implement an ERM system. This relationship, however, has not yet been statistically and empirically evaluated. In this study, the authors evaluate this relationship using a large-scale survey of plant managers as the data source and confirmatory factor analysis and structural equation modeling as the statistical tools. The study develops a series of measures for various aspects of both TQM and ERM. The results show that there is indeed a strong relationship between TQM and ERM. In many ways, ERM is conditioned by the presence of TQM. Furthermore, ERM systems have a parallel structure when compared to TQM systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/17.895340</doi><tpages>21</tpages></addata></record> |
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subjects | Conditioning Data sources Engineering management Environmental factors Environmental protection Factor analysis Linkages Mathematical analysis Mathematical models Quality management Social responsibility Statistical analysis Studies Total quality Total quality management |
title | Investigating the linkage between total quality management and environmentally responsible manufacturing |
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