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Related Experiment Videos

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

Stephen Warwood1, Jiju Antony

  • 1Warwick Manufacturing Group, International Manufacturing Centre, University of Warwick, Coventry, United Kingdom.

Quality Assurance (San Diego, Calif.)
|December 9, 2003
PubMed
Summary

This study introduces a self-assessment model for Total Quality Management (TQM) continuous improvement programs. It identifies key success factors like leadership and organizational culture, crucial for achieving business excellence.

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Area of Science:

  • Business Management
  • Organizational Studies
  • Quality Management

Background:

  • Continuous improvement programs like Total Quality Management (TQM) are vital for organizational success.
  • Existing literature highlights critical success factors for TQM implementation.
  • Assessing these factors is key to enhancing organizational performance.

Purpose of the Study:

  • To develop a semi-prescriptive self-assessment model for TQM in industrial settings.
  • To identify and rank the key factors contributing to successful TQM implementation.
  • To provide a tool for organizations seeking continuous improvement and excellence.

Main Methods:

  • Literature review to identify TQM success factors.
  • Postal surveys distributed to award-winning and prominent UK organizations.

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  • Data analysis to construct and validate the self-assessment model.

    • Main Results:

    • Identified and ranked nine key TQM success factors, with effective leadership being paramount.
    • Confirmed literature findings on the importance of various quality management elements.
    • Developed a practical self-assessment model applicable across different business contexts.

    Conclusions:

    • The developed self-assessment model aids organizations in evaluating TQM implementation.
    • Key factors such as leadership, measurement systems, and organizational culture significantly impact TQM success.
    • Further empirical testing is recommended to validate the model's effectiveness in industry.