Advanced production practices and performance: empirical evidence from Spanish plants
This paper presents an empirical study that analyses the effect of applying three Advanced Production Practices (APPs) (Total Quality Management-TQM, Just in Time-JIT, and Total Productive Maintenance-TPM) on business performance measured with financial and non-financial (or operational) indicators....
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión enviada para evaluación y publicación |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/70559 |
| Acceso en línea: | https://hdl.handle.net/11441/70559 https://doi.org/10.26595/eamr.2014.1.2.3 |
| Access Level: | acceso abierto |
| Palabra clave: | Advanced Production Practices Financial Performance Operating or Non-Financial Performance Prácticas Avanzadas de Producción Rendimiento financiero Rendimiento operativo no financiero |
| Sumario: | This paper presents an empirical study that analyses the effect of applying three Advanced Production Practices (APPs) (Total Quality Management-TQM, Just in Time-JIT, and Total Productive Maintenance-TPM) on business performance measured with financial and non-financial (or operational) indicators. The study was conducted on a sample of Spanish companies in the automotive components, electronics and 2 machinery sectors that took part in the 3rd Round of the High Performance Manufacturing (HPM) Project. The results of an analysis using Partial Least Squares (PLS) show that only two of the nine implementation indicators for the APPs being analyzed (process emphasis in TQM, and JIT delivery by suppliers) are positively related with non-financial performance. No significant relationship was found with financial performance, or between operating and financial performance. However, it should be borne in mind that the small size of the sample used in this study only enables strong relationships to be detected; a larger sample would be required to detect moderate or weak relationships. |
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