PubMed Health⌕ Search

PubMed · 14660297

A simple, semi-prescriptive self-assessment model for TQM.

Abstract

This article presents a simple, semi-prescriptive self-assessment model for use in industry as part of a continuous improvement program such as Total Quality Management (TQM). The process by which the model was constructed started with a review of the available literature in order to research TQM success factors. Next, postal surveys were conducted by sending questionnaires to the winning organisations of the Baldrige and European Quality Awards and to a preselected group of enterprising UK organisations. From the analysis of this data, the self-assessment model was constructed to help organisations in their quest for excellence. This work confirmed the findings from the literature, that there are key factors that contribute to the successful implementation of TQM and these have different levels of importance. These key factors, in order of importance, are: effective leadership, the impact of other quality-related programs, measurement systems, organisational culture, education and training, the use of teams, efficient communications, active empowerment of the workforce, and a systems infrastructure to support the business and customer-focused processes. This analysis, in turn, enabled the design of a self-assessment model that can be applied within any business setting. Further work should include the testing and review of this model to ascertain its suitability and effectiveness within industry today.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Stephen Warwood, Jiju Antony. A simple, semi-prescriptive self-assessment model for TQM.. https://doi.org/10.1080/10529410390262718

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Information-sharing among couples considering multifetal pregnancy reduction.

OBJECTIVE: To determine the information-sharing strategies of couples considering fetal reduction, and the impact of these strategies on the chances of encountering hostility in their social networks. DESIGN: Cross-sectional design of semistructured qualitative interviews, coded with respect to sharing strategies and level of personally directed hostility encountered. SETTING: Multiple Pregnancy Management Program, Comprehensive Genetics, New York, New York. PATIENT(S) AND INTERVENTION(S): Fifty women and their partners who were making a first visit to our maternal-fetal management facility, in order to consider the possibility of multifetal reduction as a pregnancy-management strategy. MAIN OUTCOME MEASURE(S): Development of information-sharing strategies, and the chances of encountering personally directed hostility regarding multifetal reduction associated with more and less selective strategies. RESULT(S): Four information-sharing strategies emerged from the analysis. Two of these strategies were relatively open (extended network, and both parents). Two other strategies were relatively selective (qualified family and friends, and defended relationship). The selective strategies were significantly less likely to encounter to encounter personally directed hostility (odds ratio, 3.88; 95% confidence intervals, 0.87-17.30). CONCLUSION(S): Selective sharing of information for couples considering multifetal prgnancy reduction is a potentially useful strategy for moderating potentially stressful relationships in their social networks. Clinics should find a way of integrating the discussion of selective sharing into their clinic's cultural repertoire of patient-support services.

Communication↗