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Research Article Open access CC BY 4.0

Identify Obstacles in Implementing Total Quality Management Framework in the Ghanaian Construction Sector using Exploring Factors Analysis Technique

Samuel Kwame Ansah, Emmanuel Tekpe

Journal of Engineering Research and Reports · pp. 45–56 · Published 25 Sep 2023

10.9734/jerr/2023/v25i9980

Abstract

The concept of total quality management improves an organization’s performance, but there are several obstacles to its practical application. This study therefore identifies the obstacles to implementing the Total Quality Management (TQM) framework in the Ghanaian construction sector. A survey questionnaire was employed for the study, and the results were based on responses from 536 of 641 questionnaires sent out to the top management in the Ghanaian construction sector. The sample frame for the study was determined from the population made up of one thousand two hundred and eighty-two (1282) small to large-sized (D4K4 to D1K1) good-standing construction firms registered with the Association of Building and Civil Engineering Contractors of Ghana (ABCECG). The data was analysed using the Exploratory Factor Analysis (EFA) technique. Cronbach's alpha was used to measure the reliability of the study instrument. While the Kaiser-Meyer-Olkin and Bartlett's tests of sphericity were employed to assess sampling adequacy and significance. The study identified sixteen obstacles in implementing TQM framework in the Ghanaian construction sector. The five most significant potential obstacles among the sixteen identified obstacles in the ranking were: lack of understanding of TQM; lack of enforcement by the agencies responsible for regulating the application of TQM; inadequate TQM systems; lack of enthusiasm for TQM implementation; and lack of a TQM policy. All sixteen items (obstacles) identified were found to have a high impact on TQM implementation in the Ghanaian construction sector. Hence, understanding these identified obstacles to TQM implementation will enable construction managers to develop more effective strategies for improving TQM implementation in the Ghanaian construction sector. The study contributes to existing literature by using exploratory factor analysis techniques to identify obstacles to total quality management implementation in the Ghanaian construction sector.

Construction sector obstacles performance total quality management

References (32)

  1. 1 Practical Research: Planning and Design [DOI]
  2. 2 Questionnaire Design, Interviewing and Attitude Measurement [DOI]
  3. 3 A Second Generation Little Jiffy [DOI]
  4. 4 Total quality management as competitive advantage: A review and empirical study [DOI]
  5. 5 An Instrument for Measuring the Critical Factors of Quality Management [DOI]
  6. 6 Multivariate Data Analysis [DOI]
  7. 7 EXPLODING THE MYTH: DO ALL QUALITY MANAGEMENT PRACTICES CONTRIBUTE TO SUPERIOR QUALITY PERFORMANCE? [DOI]
  8. 8 Production and operations management
  9. 9 Questionnaire design, interviewing and attitude measurement [DOI]
  10. 10 Total Quality Management: Text with Cases
  11. 11 An investigation of the total quality management survey based research published between 1989 and 2000 [DOI]
  12. 12 Development of a measure to assess quality management in certified firms [DOI]
  13. 13 Implementing Total Quality Management in Construction Firms [DOI]
  14. 14 Why TQM programmes fail? A pathology approach [DOI]
  15. 15 Understanding the Obstacles to TQM Success [DOI]
  16. 16 Total quality management (TQM) implementation in the Nigerian construction industry [DOI]
  17. 17 Self-assessment using the business excellence model: A study of practice and process [DOI]
  18. 18 TQM CRITICAL SUCCESS FACTORS FOR CONSTRUCTION FIRMS
  19. 19 Post Occupancy Evaluation of School Refurbishment Projects: Multiple Case Study in the UK [DOI]
  20. 20 The Importance of Project Culture in Achieving Quality Outcomes in Construction
  21. 21 The introduction and development of a quality improvement process: a study [DOI]
  22. 22 Towards a TQM‐driven HR performance evaluation: an empirical study [DOI]
  23. 23 A Sample/Population Size Activity: Is it the sample size of the sample as a fraction of the population that matters? [DOI]
  24. 24 Avoiding the Mistakes of the Past: Lessons Learned on What Makes or Breaks Quality Initiatives
  25. 25 TQM, employee outcomes and performance: the contingency effect of environmental uncertainty [DOI]
  26. 26 All-inclusiveness and disability end-user satisfaction in student housing nexus: cognitive dissonance perspective [DOI]
  27. 27 From BPR to CPR ‐ conceptualising re‐engineering in construction [DOI]
  28. 28 A large mixed integer production and distribution program [DOI]
  29. 29 Quality Management in Health Systems of Developed and Developing Countries: Which Approaches and Models are Appropriate?
  30. 30 Multivariate Data Analysis [DOI]
  31. 31 International Journal of Quality and Reliability Management
  32. 32 Discovering statistics using SPSS: (and sex, drugs and rock 'n' roll) [DOI]

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