The objective of this research was to develop data collection instruments that allow the identification of the relevant quality management practices (QMp) to productivity indicators of the dairy industry. The identification of the variables was carried out, on the one hand, through an exhaustive literature review and, on the other hand, through the suggestions of academy and industry experts. Subsequently, the most cited models in the literature about quality management were considered in the construction and validation of the instruments. The findings revealed the 32 most reported QMp in the literature and seven productivity indicators of the dairy industry suggested by the experts. Content validation evinced that the vocabulary and structure of the instruments are adequate and understandable. The originality and value of the developed instruments in this study consist in that, unlike the previous ones, they will allow identifying the relevant QMp to specific productivity indicators in the dairy industry context.
Instruments to identify relevant quality management practices to productivity
Ruales Guzman B. V.;Brun A.
2021-01-01
Abstract
The objective of this research was to develop data collection instruments that allow the identification of the relevant quality management practices (QMp) to productivity indicators of the dairy industry. The identification of the variables was carried out, on the one hand, through an exhaustive literature review and, on the other hand, through the suggestions of academy and industry experts. Subsequently, the most cited models in the literature about quality management were considered in the construction and validation of the instruments. The findings revealed the 32 most reported QMp in the literature and seven productivity indicators of the dairy industry suggested by the experts. Content validation evinced that the vocabulary and structure of the instruments are adequate and understandable. The originality and value of the developed instruments in this study consist in that, unlike the previous ones, they will allow identifying the relevant QMp to specific productivity indicators in the dairy industry context.File | Dimensione | Formato | |
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2021_IJPQM-30301_PPV.pdf
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