##plugins.themes.bootstrap3.article.main##

The state of organizational supply chain performance has attracted great attention to organizations in their endeavour to create superior structures and systems to guarantee shareholder wealth maximization. An efficient and effective supply chain framework will reduce wastages and optimally grasp opportunities in the best interest of investors. Poor supply chain performance represents over 60% of the challenges facing the global and local manufacturing industry and remain a major hurdle in securing superior firm performance. The study assessed the influence of TQM on supply chain performance for manufacturing and Allied firms listed at NSE, Kenya. Specifically, the study sought to assess the effect of strategic quality planning, supplier relations management, management commitment and customer focus on Supply Chain Performance. The guiding theories included Deming’s Quality Improvement Theory, Goldratt’s Theory of Constraints and Supply Chain Operations Reference (SCOR) Model. The descriptive survey research approach was used to carry out the study. A semi structured questionnaire helped in primary data collection. On the other hand, secondary data was reviewed using a document review guide. Data collection covered the period between 2013/2014 and 2017/2018 financial years. Quantitative and qualitative analysis techniques were employed. Quantitative techniques were included descriptive and inferential statistics. In particular, the multiple regression analysis aided in testing the hypotheses. From the regression analysis results, all the null hypotheses were rejected as all the TQM variables were found to influence supply chain performance. The p-value for strategic quality planning (p=0.014) is less than 0.05 level of significance which informs a conclusion that strategic quality planning has a positive effect on supply chain performance. The p- value for supplier relations management (p=0.005) is less than 0.05 level of significance which informs a conclusion that supplier relations management has a positive effect on supply chain performance. The p value for customer focus (p=0.017) is less than 0.05 level of significance which informs a conclusion that customer focus has a positive effect on supply chain performance. The p value for management commitment (p=0.004) is less than 0.05 level of significance which informs a conclusion that management commitment has a positive effect on supply chain performance. The Coefficient of Determination (R Square) stood at 0765. This meant that 76.5% of variation in supply chain performance was influenced by variation in the independent variable that is total quality management practices and its constituent variables: Strategic Quality Planning, Supplier Relations Management, Customer Focus and Management Commitment. To that effect, only 23.50% of variation in supply chain performance was explained by other factors not included in the model. Although supplier relations management was deeply entrenched, the study recommends further improvement of the framework of supplier engagement to quality initiatives which was found to be only moderately practiced. The study recommends further improvement of customer relations management function to ensure timely and effective handling of customers concerns and feedback to suppliers. The study recommends regular market research to effectively monitor and respond to new market needs as they arise.

Downloads

Download data is not yet available.

References

  1. Anderson, J. C., Rungtusanatham, M., & Schroeder, R. G. (1994). A theory of quality management underlying the Deming management method. Academy of Management Review, 19(3), 472–509.
     Google Scholar
  2. Arndt, H. (2004). Supply Chain Management. Springer.
     Google Scholar
  3. Baraza, W. J. (2015). Strategic Quality Management Initiatives and Performance of Mobile Communications Service Providers in Kenya (PhD Thesis). University of Nairobi.
     Google Scholar
  4. Boaden, R., Harvey, G., Moxham, C., & Proudlove, N. (2008). Quality improvement: Theory and practice. Retrieved from https://digital.library.adelaide.edu.au.
     Google Scholar
  5. Bonstingl, J. J. (1992). Deming’s fourteen points applied to companies and schools. Resource Guide for Total Quality Management in Texas Schools, Texas Association of School Administrators, Austin, TX.
     Google Scholar
  6. Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management (Vol. 2). McGraw-Hill New York, NY.
     Google Scholar
  7. Boyd, L., & Gupta, M. (2004). Constraints management: What is the theory? International Journal of Operations & Production Management, 24(4), 350–371.
     Google Scholar
  8. Bryman, A., & Bell, E. (2015). Business research methods. Retrieved from https://books.google.com.
     Google Scholar
  9. Bulmberg, B., Cooper, D. R., & Schindler, P. S. (2011). Business research methods. McGraw-Hill/Irwin, Boston.
     Google Scholar
  10. Burt, D., Dobler, D., & Starling, S. (2003). World Supply Chain Management: The Key to Supply Chain Management. McGraw-Hill Irwin, New York.
     Google Scholar
  11. Cagnazzo, L., Taticchi, P., & Brun, A. (2010). The role of performance measurement systems to support quality improvement initiatives at supply chain level. International Journal of Productivity and Performance Management, 59(2), 163–185.
     Google Scholar
  12. Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2), 512–521.
     Google Scholar
  13. Carapeto, M., & Holt, W. (2003). Testing for heteroscedasticity in regression models. Journal of Applied Statistics, 30(1), 13–20.
     Google Scholar
  14. Casadesús, M., & de Castro, R. (2005). How improving quality improves supply chain management: Empirical study. The TQM Magazine, 17(4), 345–357.
     Google Scholar
  15. Chan, F. T., & Qi, H. J. (2003). An innovative performance measurement method for supply chain management. Supply Chain Management: An International Journal, 8(3), 209–223.
     Google Scholar
  16. Chang, G. (2009). Total quality management in supply chain. International Business Research, 2(2), 82.
     Google Scholar
  17. Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: The constructs and measurements. Journal of Operations Management, 22(2), 119–150.
     Google Scholar
  18. Christopher, M. (2016). Logistics & supply chain management. Pearson UK.
     Google Scholar
  19. Crainer, S., & Dearlove, D. (2004). The quality revolution. Financial Times Handbook of Management, 290.
     Google Scholar
  20. Dahlgaard, J. J., Khanji, G. K., & Kristensen, K. (2008). Fundamentals of total quality management. Retrieved from https://books.google.com.
     Google Scholar
  21. Dale, B. (2015). Total quality management. Retrieved from http://onlinelibrary.wiley.com.
     Google Scholar
  22. Deming, W. E. (1986). Out of Crisis, Centre for Advanced Engineering Study. Massachusetts Institute of Technology, Cambridge, MA.
     Google Scholar
  23. Durbin, J., & Watson, G. S. (1971). Testing for serial correlation in least squares regression. III. Biometrika, 58(1), 1–19.
     Google Scholar
  24. Easterby, M., Thorpe, R., & Jackson, P. R. (2012). Management research. Retrieved from https://books.google.com.
     Google Scholar
  25. Eriksson, P., & Kovalainen, A. (2015). Qualitative methods in business research: A practical guide to social research. Retrieved from https://books.google.com.
     Google Scholar
  26. Estampe, D., Lamouri, S., Paris, J.-L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247–258.
     Google Scholar
  27. Evans, James R., & Dean, J. W. (2003). Total quality: Management, organization, and strategy. Retrieved from http://library.wur.nl/WebQuery/clc/1727366.
     Google Scholar
  28. Evans, James Robert, & Lindsay, W. M. (2002). The management and control of quality (Vol. 5). Retrieved from http://tocs.ulb.tu-darmstadt.de/179836862.pdf.
     Google Scholar
  29. Farooq, M. S., Akhtar, M. S., Ullah, S. Z., & Memon, R. A. (2007). Application of Total Quality Management in Education. Online Submission, 3(2), 87–97.
     Google Scholar
  30. Flynn*, B. B., & Flynn, E. J. (2005). Synergies between supply chain management and quality management: Emerging implications. International Journal of Production Research, 43(16), 3421–3436.
     Google Scholar
  31. Forker, L. B., Mendez, D., & Hershauer, J. C. (1997). Total quality management in the supply chain: What is its impact on performance? International Journal of Production Research, 35(6), 1681–1702.
     Google Scholar
  32. Fouad, R. H., Hamed, Z. M., & Abdulwahhab, O. A. (2015). Exploring TQM and SCM Practices Influence on Oil Pipelines Company’s Performance. International Review of Management and Business Research, 4(4 Part 1), 1070.
     Google Scholar
  33. Garetti, M., & Taisch, M. (2012). Sustainable manufacturing: Trends and research challenges. Production Planning & Control, 23(2–3), 83–104.
     Google Scholar
  34. Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Retrieved from https://scholarworks.iupui.edu/handle/1805/344.
     Google Scholar
  35. Goetsch, D. L., & Davis, S. (2006). Quality management: Introduction to total quality management for production, processing, and services. Prentice Hall.
     Google Scholar
  36. Goetsch, D. L., & Davis, S. B. (2014). Quality management for organizational excellence. Retrieved from http://abufara.com/abufara.net/images/abook_file/back/Ch1.pdf.
     Google Scholar
  37. Goldratt, E. M. (1990). Theory of constraints (TOC). Croton-on-Hudson, NY, USA: North River Press.
     Google Scholar
  38. Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347.
     Google Scholar
  39. Gupta, A., Bhardwaj, A., & Kanda, A. (2010). Fundamental concepts of theory of constraints: An emerging philosophy. World Academy of Science, Engineering and Technology, 46, 686–692.
     Google Scholar
  40. Harrison, A., & Van Hoek, R. I. (2008). Logistics management and strategy: Competing through the supply chain. Pearson Education.
     Google Scholar
  41. Hashmi, K. (2007). Introduction and implementation of total quality management (TQM). Journal of Electronics and Quality Management, 6(1), 45–57.
     Google Scholar
  42. Hausman, W. H. (2004). Supply chain performance metrics. In The practice of supply chain management: Where theory and application converge (pp. 61–73). Springer.
     Google Scholar
  43. Hervani, A. A., Helms, M. M., & Sarkis, J. (2005). Performance measurement for green supply chain management. Benchmarking: An International Journal, 12(4), 330–353.
     Google Scholar
  44. Hugos, M. H. (2011). Essentials of supply chain management (Vol. 62). John Wiley & Sons.
     Google Scholar
  45. José, T., Juan. (2005). Components of successful total quality management. The TQM Magazine, 17(2), 182–194.
     Google Scholar
  46. Kamau, P. M., Wanjiku, P. W., Langat, L. C., Lijembe, M. T., Majaha, C., Ojwang, P. O., Makunyi, P. M. (2015). Supply chain quality planning and performance of water bottling companies in Nairobi city county, Kenya.
     Google Scholar
  47. Katua, P. A. (2014). The Impact of Supply Integration on the Supply Chain Performance in the Manufacturing Firms in Kenya (PhD Thesis). School of Business, University of Nairobi.
     Google Scholar
  48. Kelly, T. F. (2013). Fourteen More Points: Successful Applications of Deming’s System Theory. American Journal of Management, 13(2), 36.
     Google Scholar
  49. Kitheka, S. (2015). The Effect of Supplier Quality Management on Organizational Performance: A Survey of Supermarkets in Kakamega Town.
     Google Scholar
  50. Kothari, C. R. (2011). Research methodology: Methods and techniques. Retrieved from http://books.google.com/books?hl=en&lr=&id=8c6gkbKi-F4C&oi=fnd&pg=PR7&dq=Kothari,+(2004)&ots=iHhBnQU8nL&sig=Dw-XCoat-i7yHF2szK-fo7y3394.
     Google Scholar
  51. Krauss, S. E. (2005). Research paradigms and meaning making: A primer. The Qualitative Report, 10(4), 758–770.
     Google Scholar
  52. Kuei, C.-H., Madu, C. N., & Lin, C. (2001). The relationship between supply chain quality management practices and organizational performance. International Journal of Quality & Reliability Management, 18(8), 864–872.
     Google Scholar
  53. Kutner, M. H., Nachtsheim, C., & Neter, J. (2004). Applied linear regression models. McGraw-Hill/Irwin.
     Google Scholar
  54. Li, L., Su, Q., & Chen, X. (2011). Ensuring supply chain quality performance through applying the SCOR model. International Journal of Production Research, 49(1), 33–57.
     Google Scholar
  55. Long, J. S., & Ervin, L. H. (2000). Using heteroscedasticity consistent standard errors in the linear regression model. The American Statistician, 54(3), 217–224.
     Google Scholar
  56. Mackenzie, N., & Knipe, S. (2006). Research dilemmas: Paradigms, methods and methodology. Issues in Educational Research, 16(2), 193–205.
     Google Scholar
  57. Masindet, E., & Ogollah, K. (2014). Influence of Total Quality Management Practices on Supply Chain Performance of Cement Manufacturing Firms in Kenya. European Journal of Business Management, 1(11), 181–197.
     Google Scholar
  58. Mohideen, O., & Vijayavel, J. (2014). Principles of Total Quality Management (TQM). Retrieved from http://ijpsbm.com/docs/papers/september2014/V2I905.pdf.
     Google Scholar
  59. Montgomery, D. C., Peck, E. A., & Vining, G. G. (2015). Introduction to linear regression analysis. John Wiley & Sons.
     Google Scholar
  60. Mugenda, O. M., & Mugenda, A. G. (2003). Research methods. Nairobi: ACTS.
     Google Scholar
  61. Ngui, D. M. (2008). On the Efficiency of the Kenyan Manufacturing Sector: An Empirical Analysis. Shaker.
     Google Scholar
  62. Njoroge, M., George. (2014). Impact of supply chain management risks and challenges on performance of food manufacturing firms in greater Nairobi, Kenya. (PhD Thesis). School of Business, University of Nairobi.
     Google Scholar
  63. Oketch, C. S., Chirchir, M., & Kinyua, S. (2014). Supply chain performance and performance of manufacturing pharmaceutical firms in Kenya.
     Google Scholar
  64. Oso, W. Y., & Onen, D. (2005). A Guide to writing Research Proposals and Reports. Kisumu: Option Press.
     Google Scholar
  65. Ott, R. L., & Longnecker, M. (2015). An introduction to statistical methods and data analysis. Nelson Education.
     Google Scholar
  66. Otto, A., & Kotzab, H. (2003). Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain. European Journal of Operational Research, 144(2), 306–320.
     Google Scholar
  67. Ou, C. S., Liu, F. C., Hung, Y. C., & Yen, D. C. (2010). A structural model of supply chain management on firm performance. International Journal of Operations & Production Management, 30(5), 526–545.
     Google Scholar
  68. Poluha, R. G. (2007). Application of the SCOR model in supply chain management. Cambria Press.
     Google Scholar
  69. Rajab, F. A. (2015). Quality management practices and supply chain performance of large scale manufacturing firms in Kenya. (PhD Thesis). UNIVERSITY OF NAIROBI.
     Google Scholar
  70. Rampersad, H. K., & Narasimhan, K. (2005). Managing total quality: Enhancing personal and company value. Tata McGraw-Hill.
     Google Scholar
  71. Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 591–611.
     Google Scholar
  72. Sik Jeong, J., & Hong, P. (2017). Customer orientation and performance outcomes in supply chain management. Journal of Enterprise Information Management, 20(5), 578–594.
     Google Scholar
  73. Stadtler, H. (2005). Supply chain management and advanced planning—-Basics, overview and challenges. European Journal of Operational Research, 163(3), 575–588.
     Google Scholar
  74. Stephens, S. (2001). Supply chain council & supply chain operations reference (scor) model overview. Version.
     Google Scholar
  75. Supply Chain Council. (2008). SCOR–Supply Chain Operations Reference Model Version 9.0. Supply Chain Council, Cypress.
     Google Scholar
  76. Talavera, G. (2010). Measuring supply chain performance in selected Philippine manufacturing companies. Philippine Management Review, 17, 52–65.
     Google Scholar
  77. Talib, F., Rahman, Z., & Qureshi, M. N. (2011). A study of total quality management and supply chain management practices. International Journal of Productivity and Performance Management, 60(3), 268–288.
     Google Scholar
  78. Tan, K. K. S., Ng, H. P., Phuah, W. H., Phuah, Y. Y., & Tan, C. W. (2014). Total quality management on supply chain management: A study on logistics companies in Malaysia (PhD Thesis). UTAR.
     Google Scholar
  79. Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53.
     Google Scholar
  80. Tayur, S., Ganeshan, R., & Magazine, M. (2012). Quantitative models for supply chain management (Vol. 17). Springer Science & Business Media.
     Google Scholar
  81. Tsay, R. S. (2005). Analysis of financial time series (Vol. 543). Retrieved from https://books.google.com/books?hl=en&lr=&id=ddL4tTLb_08C&oi=fnd&pg=PR7&dq=test+for+auto+correlation+in+regression+analysis&ots=bwvsJ5Pj3a&sig=Y-C7Q3Qd9ot2tiGjVM9icHNtdtM.
     Google Scholar
  82. Tulasi, C. L., & Rao, A. R. (2012). Review on theory of constraints. International Journal of Advances in Engineering & Technology, 3(1), 334.
     Google Scholar
  83. Vanagas, P., & Žirgutienė, S. (2015). TQM Paradigm Shift in The Context of Change Management. Engineering Economics, 43(3), 15–21.
     Google Scholar
  84. Vanichchinchai, A., & Igel, B. (2011). The impact of total quality management on supply chain management and firm’s supply performance. International Journal of Production Research, 49(11), 3405–3424.
     Google Scholar
  85. Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307–325.
     Google Scholar
  86. Yazici, B., & Yolacan, S. (2007). A comparison of various tests of normality. Journal of Statistical Computation and Simulation, 77(2), 175–183.
     Google Scholar
  87. Yong, J., & Wilkinson, A. (2001). Rethinking total quality management. Total Quality Management, 12(2), 247–258.
     Google Scholar