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Initiatives and outcomes of quality management implementation across industries

Author

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  • Lai, Kee-hung
  • Cheng, T. C. E.

Abstract

This paper sets out to explore the quality initiatives of various industries and examine the links between quality management implementation and quality outcomes. We use the scenario in Hong Kong as a first step in addressing these research inquiries. Using Black and Porter's instrument (Decision Sci. 27 (1996) 1) and the various perceived performance measures representing quality management implementation and quality outcomes respectively, we conducted a mail survey to collect data from over 1000 companies with operational quality management systems and received 304 valid responses for data analysis. Analysis of variance (ANOVA) was used to analyze the data and the results are consistent with our prediction that the differences in quality initiatives by industry types affect the levels of quality management implementation and quality outcomes in different industries. In particular, we found that significant contrast exists between public utilities/service industries and manufacturing/construction industries, with the former group having a higher level of quality management implementation and achieving better quality outcomes. The emphases that they placed on their quality management implementation also seem to differ. Implications of the results are discussed and suggestions for further research on quality management and implementation are offerred.

Suggested Citation

  • Lai, Kee-hung & Cheng, T. C. E., 2003. "Initiatives and outcomes of quality management implementation across industries," Omega, Elsevier, vol. 31(2), pages 141-154, April.
  • Handle: RePEc:eee:jomega:v:31:y:2003:i:2:p:141-154
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    References listed on IDEAS

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    1. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    2. Lai, Kee-Hung, 2003. "Market orientation in quality-oriented organizations and its impact on their performance," International Journal of Production Economics, Elsevier, vol. 84(1), pages 17-34, April.
    3. Kevin B. Hendricks & Vinod R. Singhal, 1997. "Does Implementing an Effective TQM Program Actually Improve Operating Performance? Empirical Evidence from Firms That Have Won Quality Awards," Management Science, INFORMS, vol. 43(9), pages 1258-1274, September.
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    Cited by:

    1. Wang, Chao & Lim, Ming K & Zhao, Longfeng & Tseng, Ming-Lang & Chien, Chen-Fu & Lev, Benjamin, 2020. "The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview," Omega, Elsevier, vol. 93(C).
    2. Mar Fuentes-Fuentes, M. & Albacete-Sáez, Carlos A. & Lloréns-Montes, F. Javier, 2004. "The impact of environmental characteristics on TQM principles and organizational performance," Omega, Elsevier, vol. 32(6), pages 425-442, December.
    3. Zhang, Manman & Zhang, Juliang & Sun, Yue & Cheng, T.C.E., 2022. "How to outsource production considering quality management: Turnkey or buy-sell?," Omega, Elsevier, vol. 113(C).
    4. Lai, Kee-hung & Cheng, T.C.E. & Yeung, A.C.L., 2005. "Relationship stability and supplier commitment to quality," International Journal of Production Economics, Elsevier, vol. 96(3), pages 397-410, June.
    5. Manjeet Kharub & Rajiv Kumar Sharma, 2016. "Investigating the role of CSF’s for successful implementation of quality management practices in MSMEs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(1), pages 247-273, December.
    6. Swain, Ajaya K. & Cao, Qing Ray & Gardner, William L., 2018. "Six Sigma success: Looking through authentic leadership and behavioral integrity theoretical lenses," Operations Research Perspectives, Elsevier, vol. 5(C), pages 120-132.
    7. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    8. Molina-Azorín, Jose F. & Tarí, Juan José & Pereira-Moliner, Jorge & López-Gamero, María D. & Pertusa-Ortega, Eva M., 2015. "The effects of quality and environmental management on competitive advantage: A mixed methods study in the hotel industry," Tourism Management, Elsevier, vol. 50(C), pages 41-54.
    9. Juan José Tarí & Jorge Pereira-Moliner & Eva M. Pertusa-Ortega & María D. López-Gamero & José F. Molina-Azorín, 2017. "Does quality management improve performance or vice versa? Evidence from the hotel industry," Service Business, Springer;Pan-Pacific Business Association, vol. 11(1), pages 23-43, March.
    10. Pietro De Giovanni, 2020. "An optimal control model with defective products and goodwill damages," Annals of Operations Research, Springer, vol. 289(2), pages 419-430, June.

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