Total quality management is an approach to continuous organizational improvement, the goal of which is meeting customers’ needs. Two major TQM components are the use of statistical tools to help abolish non‐value‐added activities, and a change in managers’ behaviour, and from those who direct, are competitive, rely on rules, towards managers who lead, guide, co‐operate, focus on the process, view people as assets, and encourage variety, flexibility, etc. TQM programmes are not always effective; some focus more on statistical issues while others focus on more people issues. Examines the association of several variables used in TQM implementations in hospitals, manufacturing, and service organizations. Examines variables against two groupings of qualitative measures of TQM and quantitative measures of TQM. Depicts the successfulness of TQM and whether qualitative or quantitative measures are a determinant of this success. The research hypothesis is: TQM programmes are successful in organizations when their approach to TQM is based on the application of statistical process control tools/principles rather than solely on qualitative measures.
Article navigation
1 November 1997
Research Article|
November 01 1997
TQM success efforts: use more quantitative or qualitative tools?
Larry Scheuermann;
Larry Scheuermann
Professor of Quantitative Methods, University of Southwestern Louisiana, Lafayette, Louisiana, USA
Search for other works by this author on:
Zhiwei Zhu;
Zhiwei Zhu
Associate Professor, University of Southwestern Louisiana, Lafayette, Louisiana, USA
Search for other works by this author on:
Sandra B. Scheuermann
Sandra B. Scheuermann
Instructor of Accounting, at the University of Southwestern Louisiana, Lafayette, Louisiana, USA
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© MCB UP Limited
1997
Industrial Management & Data Systems (1997) 97 (7): 264–270.
Citation
Scheuermann L, Zhu Z, Scheuermann SB (1997), "TQM success efforts: use more quantitative or qualitative tools?". Industrial Management & Data Systems, Vol. 97 No. 7 pp. 264–270, doi: https://doi.org/10.1108/02635579710191680
Download citation file:
New and popular articles
Suggested Reading
Soft Data – Hard Data: The Painful Art of Fence‐Sitting
Journal of Consumer Marketing (February,1989)
Quantitative and qualitative decision‐making methods in simulation modelling
Management Decision (February,2002)
Bridging the great divide ‐ the transfer of techniques
Marketing Intelligence & Planning (November,1996)
Methods for our madness
The Bottom Line (September,2000)
Organizational diagnostics: integrating qualitative and quantitative methodology
Journal of Organizational Change Management (April,2002)
Related Chapters
A New Methodology in Support of Critical Systems Thinking: Critical Systems Intervention
Shaping Collaborative Ecosystems for Tomorrow
AI in Quality Management in Manufacturing Industry: Case Studies in China
Digital Transformation: Organizational Challenges and Management Transformation Methods
Accounting Control, Operational Control, and the Value of Continuous Improvement: A Capacity Change Perspective
Advances in Management Accounting
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
