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Comparing Quality Management Practices between US and Mexico

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John Lim Chun Shen. Mahour Mellat Parast. University of Nebraska-Lincoln ... practices (Evans and Jack, 2003; Flynn and Saladin, 2001; Ford and Evans, 2000; ... – PowerPoint PPT presentation

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Title: Comparing Quality Management Practices between US and Mexico


1
Comparing Quality Management Practices between US
and Mexico
Ganesh Babu Pavalarajan John Lim Chun
Shen Mahour Mellat Parast University of
Nebraska-Lincoln Department of Industrial and
Management Systems Engineering
2
Presentation Outline
  • Introduction
  • Problem Definition
  • Methodology
  • Analysis
  • Conclusions
  • Limitations

3
Introduction
  • Quality management has been regarded as the
    second industrial revolution (Kanji, 1990).
  • It focuses on continuous improvement and customer
    satisfaction.
  • Started from engineering activities (statistical
    quality control).
  • Developed managerial concept (JIT).

4
Quality Management
  • Is a fuzzy concept since the concept of quality
    is not well-established.
  • Different scholars and practitioners define
    quality differently.
  • There are a variety of definition and models for
    quality management.
  • However, Malcolm Baldrige National Quality Award
    Model (MBNQA) is the most agreed upon model for
    quality management.

5
MBNQA
  • Has been disseminated as an interdisciplinary
    approach to quality management (Wilson and
    Collier, 2000)
  • An argument about the applicability of MBNQA for
    quality management (Bleakley, 1993 Fuchsberg,
    1992 Naj, 1993)
  • Used as a model for quality management practices
    (Evans and Jack, 2003 Flynn and Saladin, 2001
    Ford and Evans, 2000 Pannirselvam and Ferguson,
    2001).
  • Used as a framework for quality management study
    in the international context (Rao et al., 1999
    Lee et al., 2003).

6
Quality Management Constructs
  • Quality Leadership
  • Quality Information and Analysis
  • Strategic Planning Process
  • Support of Human Resource Development
  • Quality Assurance of products and services
  • General Matters (Social Responsibility)
  • Quality Results
  • Customer Focus and Satisfaction

7
Research on MBNQA
  • Most research on MBNQA model has been conducted
    in the US (Evans and Jack, 2003 Flynn and
    Saladin, 2001 Ford and Evans, 2000 Pannirselvam
    and Ferguson, 2001).
  • The research shows that Leadership drives the
    whole system.
  • There is not much understanding of the
    applicability of MBNQA in other regions in the
    world.

8
The Problem
  • How MBNQA works in other regions?
  • Is there an agreement on MBNQA criteria across
    countries?
  • What are the differences and similarities?
  • The approach is to compare Quality Management
  • across the countries.

9
Problem Definition
  • To study the relationship between
  • the Quality management practices
  • across the companies in USA and
  • Mexico

10
Methodology
  • Methodology adapted in this project is Survey
    Research.
  • Questionnaire prepared based on the constructs of
    MBNQA.
  • The consistency of the instrument is high
    (reliability higher than 0.88)
  • Sample size US 258 and Mexico 113.

11
Analysis
  • Analyzed the data using the SPSS software.
  • Investigated Correlation of each construct.
  • Utilized Levenes test for testing equality of
    variance.
  • Used T-test, Welch and Brown test for testing the
    equality of means.
  • Linear and Multi variable Regression analysis is
    used to develop models.

12
Hypotheses
  • Group Comparison
  • There is no difference between quality
    management practices between US and Mexico.
  • Regression Analysis
  • Determine what quality management practices
    explains (attribute to ) Quality Results and
    Customer Satisfaction in US and Mexico.

13
Group Statistics
14
Correlations
15
Levenes and T-test
16
Test of Equality of Means
Result shows significant difference between
general matters of quality (social
responsibility) between the US and Mexico.
17
Regression Model
18
Quality Results as dependent variable
  • Mexico
  • QR 0.95 0.41QAP 0.30GM 0.21SQ 0.18SHRD
  • Relations of Quality Result with other constructs
    of MBQNA
  • USA
  • QR 7.69 0.39SQ 0.20QL 0.212QIA 0.161GM
  • Relations of Quality Result with other constructs
    of MBQNA

19
Customer satisfaction as dependent variable
  • Mexico
  • CFS 0.91 0.91GM 0.6QAP 0.46SPP
  • Relations of Customer Satisfaction with other
    constructs of MBQNA
  • USA
  • CFS 0. 302 0.71SPP 0.68GM 0.29QAP 0.26SQ
  • Relations of Customer Satisfaction with other
    constructs of MBQNA for USA

20
Conclusion
  • There is no difference between the quality
    management practices between the US and Mexico
    based on the Malcolm Baldrige criteria. However,
    there is significant difference in general
    matters (social responsibility).
  • Hypotheses supports that quality management
    practices are universal and context-free. This is
    in line with Spencer (1994) which indicated that
    quality management recommendations tend to be
    universal

21
Conclusion
  • Regression analysis revealed supplier quality is
    an important predictor of quality results in both
    setting. This is in line with the recent trends
    in supply chain management which challenges the
    scope of quality management .
  • Our findings supports the fact that the soft side
    of quality management, such as supplier quality,
    social responsibility and strategic planning of
    quality are important predictors of quality
    results in the US and Mexico.

22
Limitations
  • The difference between sample sizes between two
    groups may affect the selection of stronger
    tests.
  • Result cannot be generalized to other regions
    around the world.
  • The issue of Multi-Co-linearity (correlation
    between independent variables).

23
Recommendations
  • It is appropriate to study quality management
    practices in different contexts and regions
    around the world.
  • Further research can be carried out considering
    the social aspect of quality management like
    social responsibility. More attention should be
    given to the cultural setting and how national
    culture will affect quality management practices.

24
Acknowledgement
  • We are Thankful to
  • Dr. S. Subba Rao
  • Dr. T.S. Raghunathan
  • Department of Information Systems and Operations
    Management,
  • University of Toledo.

25
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