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식스 시그마 품질경영활동이 기업의 재무적 성과지표에 미치는 영향연구: 경향점수매칭을 이용하여

The Study on Relation between Implementation of Six Sigma Quality Management and Financial Performance using Propensity Score Matching

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주제분류학제간연구

초록

Purpose: The purpose of this paper is to study whether the adoption of Six Sigma quality management by a firm positively affects its financial performance. The correlation between the duration of Six Sigma implementation period and the financial status of the firm is investigated as well. Methods: We conduct the analysis using data from Manufacturing Industry Productivity Panel Survey 2013 provided by Korea Productivity Center and Ministry of Trade, Industry and Energy. Propensity score matching is used to reduce sample selection bias of observational study. Furthermore, we use multiple linear regression in order to study the relationship between the implementation of Six Sigma quality management and financial performance. The return on assets and ratio of net income to net sales are considered as dependent variable and implementation of Six Sigma as independent variable. Results: The indication of this analysis is that implementation of Six Sigma quality management does not significantly enhance financial status. The firms that adopted Six Sigma quality management were categorized into three groups according to the implementation period. Comparison of each group with the firms that do not adopt Six Sigma quality management does not show statistically significant enhancement of financial status. Conclusion: In conclusion, both adoption and duration of six sigma quality management do not affect financial performance significantly.

Abstract

Purpose: The purpose of this paper is to study whether the adoption of Six Sigma quality management by a firm positively affects its financial performance. The correlation between the duration of Six Sigma implementation period and the financial status of the firm is investigated as well. Methods: We conduct the analysis using data from Manufacturing Industry Productivity Panel Survey 2013 provided by Korea Productivity Center and Ministry of Trade, Industry and Energy. Propensity score matching is used to reduce sample selection bias of observational study. Furthermore, we use multiple linear regression in order to study the relationship between the implementation of Six Sigma quality management and financial performance. The return on assets and ratio of net income to net sales are considered as dependent variable and implementation of Six Sigma as independent variable. Results: The indication of this analysis is that implementation of Six Sigma quality management does not significantly enhance financial status. The firms that adopted Six Sigma quality management were categorized into three groups according to the implementation period. Comparison of each group with the firms that do not adopt Six Sigma quality management does not show statistically significant enhancement of financial status. Conclusion: In conclusion, both adoption and duration of six sigma quality management do not affect financial performance significantly.

참고문헌 (33)

  1. Ahn, Young-Jin., "Six Sigma and Total Quality Management" (2002), PAKYOUNGSA
  2. "Educational Research with Real-World Data: Reducing Selection Bias with Propensity Score Analysis" (2013)[URL]
  3. Understanding and Practice of Six Sigma Management, "Bae, Young-Il.", SERI, ~, pp.CEO Information 349 (2002)
  4. Braitman, L. E., "Rare outcomes, common treatments: Analytic strategies using propensity scores", Annals of Internal Medicine, 137, pp.693~695 (2002)
  5. Caliendo, M., "Some practical guidance for the implementation of propensity score matching", Journal of Economic Surveys, 22, pp.31~72 (2008)
  6. Camfferman, K., "An Analysis of Disclosure in the Annual Reports of U. K. and Dutch Companies", Journal of International Accounting Research, 28(1), pp.3~30 (2002)
  7. Dehejia, R. H., "Causal effects in nonexperimental studies : Reevaluating the evaluation of training programs", Journal of The American Statistical Association, 94, pp.1053~1062 (1999)
  8. Foster, S, "Does Six Sigma Improve Performance?", Quality Management Journal, 14(4), pp.7~20 (2007)
  9. Holland, P. W, "Statistics and Causal inference", Journal of the American Statistical Association, 81, pp.945~960 (1986)
  10. Haus-vaughn, D. L., "Estimating and Using Propensity Score Analysis With Complex Samples", The Journal of the Experimental Education, 75(1), pp.31~65 (2006)
  11. Harry, Mikel J, "Six Sigma : a Breakthrough Strategy for Profitability", Quality progress, 31(5), pp.60~64 (1998)
  12. Harry, Mikel J., (2000), Campus-Verlag
  13. Jacobs, Brian., "Performance effects of early and late Six Sigma adoptions", Journal of Operational Management, 36, pp.244~257 (2015)
  14. Jung, Soon-Yeo., "The Effect of the six sigma on Business Performance", Korean Journal of Accounting Research, 10(1), pp.191~223 (2005)
  15. 강호영, "6시그마 도입이 재무적 성과에 미치는 영향에 관한 연구", 재무와 회계정보저널, 11(1), pp.147~168 (2011), 한국회계정보학회
  16. 김계수, "6-sigma 품질경영 : 6시그마 정의와 추진환경, 실천역량, 경영성과와의 인과관계에 관한 연구-제조부문을 중심으로-", 한국경영과학회지, 29(3), pp.129~144 (2004), 한국경영과학회
  17. 김호인, "6시그마 재무성과의 정확한 측정과 기업 손익실적과의 연계 방안", 품질경영학회지, 37(3), pp.94~101 (2009), 한국품질경영학회
  18. 김혜정, "조직성숙이 6시그마의 도입성과에 미치는 영향", 조사연구, 8(1), pp.1~30 (2007), 한국조사연구학회
  19. 이건창, "6시그마 경영활동으로 인한 기업경쟁력 향상에 관한 실증연구", 경영학연구, 33(6), pp.1735~1756 (2004), 한국경영학회
  20. 이승현, "6시그마 문헌 연구 : 국내 연구를 중심으로", 품질경영학회지, 35(1), pp.97~112 (2007), 한국품질경영학회
  21. Management Innovation, Engine to Escape Depression, "Lee, Pal Hoon.", SERI, ~, pp.CEO Information 461 (2004)
  22. 박재영, "6 시그마 품질경영을 위한 노력이 기업의 재무적 성과에 미치는 영향분석", 품질경영학회지, 42(3), pp.361~372 (2014), 한국품질경영학회[DOI]
  23. Robertson, M., "The role of networks in the diffusion of technological innovation", Journal of Management Studies, 33(3), pp.333~359 (1996)
  24. Rogers, E. M., "Diffusion of Innovations" (2003), Free Press
  25. Rosenbaum, P., "The Central Role of the Propensity Score in Observational Studies for Causal Effects", Biometrika, 70, pp.41~55 (1983)
  26. Rosenbaum, P., "Reducing Bias in Observational Studies Using Subclassification on the Propensity Score", Journal of the American Statistical Association, 79, pp.516~524 (1984)
  27. Rubin, D. B, "Estimating causal effects from large data sets using propensity scores", Annals of Internal Medicine, 127, pp.757~763 (1997)
  28. 류창헌, "식스 시그마 도입기간이 기업의 재무적 성과에 미치는 영향 연구: 평활 스플라인 함수를 이용하여", 신뢰성 응용연구, 16(2), pp.78~89 (2016), 한국신뢰성학회
  29. 상경아, "경향점수를 이용한 결합표집 방법에 의한 사교육 효과 분석", 교육평가연구, 22(3), pp.717~735 (2009), 한국교육평가학회
  30. Sinha, K. K., "Designing work within and between organizations", Organization Science, 16(4), pp.389~408 (2005)
  31. 손성진, "기업문화와 TQM, 6시그마 품질경영이 비재무성과와 재무성과에 미치는 효과", 경영학연구, 38(6), pp.1691~1719 (2009), 한국경영학회
  32. Strang, D., "The Oxford Handbook of Work and Organization", pp.177~199 (2004), Oxford University Press
  33. 양승권, "6시그마 성공요인이 경영성과에 미치는 영향", 대한안전경영과학회지, 9(5), pp.117~123 (2007), 대한안전경영과학회

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