610
Views
11
CrossRef citations to date
0
Altmetric
Articles

Exploring customers’ perceptions about Quality Management Systems: an empirical study in Italy

ORCID Icon &
Pages 1466-1481 | Published online: 14 Dec 2016
 

Abstract

Quality Management Systems (QMS) include the organisational structure, activities, programmes and actions designed to ensure that a product, process or service conforms to the objectives and the purposes for which it is to be used. Therefore, it is clear that quality systems involve all stages, starting from the initial identification of the needs and expectations of customers to their satisfaction. The aim of this research is to explore the knowledge and perceptions of customers about companies’ QMS related to business process management, environment, health and safety at work, social responsibilities/ethics. These themes are connected to International and European standards such as ISO 9001, ISO 14001, OHSAS 18001, SA 8000, which certify the presence in the company of attention given to these issues. The survey wants to investigate if Italian customers pay attention to these aspects, if they know these standards and if their presence increases customer satisfaction about the quality of the organisation and the product or service that it produces or supplies. The research was carried out through a questionnaire proposed to a heterogeneous sample of Italian consumers; data have been collected from 15 September to 15 December 2015, and they have been analysed using SPSS 23.0.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 404.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.