Instruments to identify relevant quality management practices to productivity
by Bertha Viviana Ruales Guzmán; Oscar Fernando Castellanos Domínguez; Alessandro Brun
International Journal of Productivity and Quality Management (IJPQM), Vol. 33, No. 1, 2021

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.

Online publication date: Wed, 26-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Productivity and Quality Management (IJPQM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com