The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Sigma

Abstract

This paper presents a structural equation model that relates knowledge coordination with access to information in the process of implementing Six Sigma and their impact on the quality and economic benefits obtained. The model integrates four latent variables (knowledge coordination and access to information as independent variables; quality benefits and economic benefits as dependent variables), that are intertwined by five hypotheses validated statistically through the partial least squares technique using data from 301 responses to a survey applied in the maquiladora industry. Findings suggest that to obtain benefits associated with product quality, information and knowledge acquired from Six Sigma, projects must be carefully saved, managed, and analysed with appropriate statistical techniques applied by green and black belts. However, to obtain economic benefits, the information and knowledge must be transformed into benefits associated with quality such as reduction in delivery time, reduction of customer complains and compliance with standards demanded by the customer.

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References

  1. 1.

    Swain, A. K., Cao, Q. R., & Gardner, W. L. (2018). Six Sigma success: Looking through authentic leadership and behavioral integrity theoretical lenses. Operations Research Perspectives, 5, 120–132. https://doi.org/10.1016/j.orp.2018.04.001.

    Article  Google Scholar 

  2. 2.

    Costa, L. B. M., Godinho Filho, M., Fredendall, L. D., & Gómez Paredes, F. J. (2018). Lean, Six Sigma and lean Six Sigma in the food industry: A systematic literature review. Trends in Food Science & Technology, 82, 122–133. https://doi.org/10.1016/j.tifs.2018.10.002.

    Article  Google Scholar 

  3. 3.

    Westgard, J. O., & Westgard, S. A. (2017). Six Sigma quality management system and design of risk-based statistical quality control. Clinics in Laboratory Medicine, 37(1), 85–96. https://doi.org/10.1016/j.cll.2016.09.008.

    Article  Google Scholar 

  4. 4.

    Gaikwad, L. M., Teli, S. N., Majali, V. S., & Bhushi, U. M. (2016). An application of Six Sigma to reduce supplier quality cost. Journal of The Institution of Engineers (India): Series C, 97(1), 93–107. https://doi.org/10.1007/s40032-015-0200-2.

    Article  Google Scholar 

  5. 5.

    Laureani, A., & Antony, J. (2018). Leadership—A critical success factor for the effective implementation of Lean Six Sigma. Total Quality Management & Business Excellence, 29(5), 502–523. https://doi.org/10.1080/14783363.2016.1211480.

    Article  Google Scholar 

  6. 6.

    Laureani, A., & Antony, J. (2017). Leadership characteristics for Lean Six Sigma. Total Quality Management & Business Excellence, 28(3/4), 405–426. https://doi.org/10.1080/14783363.2015.1090291.

    Article  Google Scholar 

  7. 7.

    Mustafa, Z., & Jamaluddin, Z. (2017). Six Sigma critical success factors in manufacturing industries. AIP Conference Proceedings, 1830(1), 1–8. https://doi.org/10.1063/1.4981004.

    Article  Google Scholar 

  8. 8.

    Kwak, Y. H., & Anbari, F. T. (2006). Benefits, obstacles, and future of Six Sigma approach. Technovation, 26(5), 708–715. https://doi.org/10.1016/j.technovation.2004.10.003.

    Article  Google Scholar 

  9. 9.

    Cima, R. R., Brown, M. J., Hebl, J. R., Moore, R., Rogers, J. C., Kollengode, A., et al. (2011). Use of lean and Six Sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center. Journal of the American College of Surgeons, 213(1), 83–92. https://doi.org/10.1016/j.jamcollsurg.2011.02.009.

    Article  Google Scholar 

  10. 10.

    Salaheldin, S. I., & Abdelwahab, I. S. (2009). Six Sigma practices in the banking sector in Qatar. Global Business and Management Research: An International Journal, 1(1), 23–35.

    Google Scholar 

  11. 11.

    Alhuraish, I., Robledo, C., & Kobi, A. (2017). A comparative exploration of lean manufacturing and Six Sigma in terms of their critical success factors. Journal of Cleaner Production, 164, 325–337. https://doi.org/10.1016/j.jclepro.2017.06.146.

    Article  Google Scholar 

  12. 12.

    Ribeiro de Jesus, A., Antony, J., Lepikson, H. A., & Peixoto, A. L. A. (2016). Six Sigma critical success factors in Brazilian industry. International Journal of Quality & Reliability Management, 33(6), 702–723. https://doi.org/10.1108/IJQRM-08-2014-0120.

    Article  Google Scholar 

  13. 13.

    Psomas, E. (2016). The underlying factorial structure and significance of the Six Sigma difficulties and critical success factors. TQM Journal, 28(4), 530–546. https://doi.org/10.1108/TQM-04-2015-0049.

    Article  Google Scholar 

  14. 14.

    Lande, M., Shrivastava, R. L., & Seth, D. (2016). Critical success factors for Lean Six Sigma in SMEs (small and medium enterprises). TQM Journal, 28(4), 613–635. https://doi.org/10.1108/TQM-12-2014-0107.

    Article  Google Scholar 

  15. 15.

    Ismyrlis, V., & Moschidis, O. (2013). Six Sigma’s critical success factors and toolbox. International Journal of Lean Six Sigma, 4(2), 108–117. https://doi.org/10.1108/20401461311319310.

    Article  Google Scholar 

  16. 16.

    Habidin, N. F., & Yusof, S. R. M. (2013). Critical success factors of Lean Six Sigma for the Malaysian automotive industry. International Journal of Lean Six Sigma, 4(1), 60–82. https://doi.org/10.1108/20401461311310526.

    Article  Google Scholar 

  17. 17.

    Desai, D. A., Antony, J., & Patel, M. B. (2012). An assessment of the critical success factors for Six Sigma implementation in Indian industries. International Journal of Productivity & Performance Management, 61(4), 426–444. https://doi.org/10.1108/17410401211212670.

    Article  Google Scholar 

  18. 18.

    Tlapa, D., Limón, J., Baez, Y., & Valles-Rosales, D. J. (2015). Critical success factors of Six Sigma: An overview. In 2014 IEEE international conference on industrial engineering and engineering management, bandar sunway (pp. 818-822), Malaysia, 9–12 December 2014. IEEE Xplore. https://doi.org/10.1109/IEEM.2014.7058752.

  19. 19.

    Brun, A. (2011). Critical success factors of Six Sigma implementations in Italian companies. International Journal of Production Economics, 131(1), 158–164. https://doi.org/10.1016/j.ijpe.2010.05.008.

    Article  Google Scholar 

  20. 20.

    Revere, L., Kadipasaoglu, S. N., & Zalila, F. (2006). An empirical investigation into Six Sigma critical success factors. International Journal of Productivity and Quality Management, 1(3), 224–252. https://doi.org/10.1504/IJPQM.2006.008476.

    Article  Google Scholar 

  21. 21.

    Hagspiel, S. (2018). Reliability with interdependent suppliers. European Journal of Operational Research, 268(1), 161–173. https://doi.org/10.1016/j.ejor.2018.01.014.

    MathSciNet  Article  MATH  Google Scholar 

  22. 22.

    Fairul-Anwar, A., & Mohd Amran, M. (2015). Critical success factors of Lean Six Sigma deployment: A current review. International Journal of Lean Six Sigma, 6(4), 339–348. https://doi.org/10.1108/IJLSS-04-2015-0011.

    Article  Google Scholar 

  23. 23.

    Tenera, A., & Pinto, L. C. (2014). A Lean Six Sigma (LSS) project management improvement model. Procedia - Social and Behavioral Sciences, 119, 912–920. https://doi.org/10.1016/j.sbspro.2014.03.102.

    Article  Google Scholar 

  24. 24.

    Boon Sin, A., Zailani, S., Iranmanesh, M., & Ramayah, T. (2015). Structural equation modelling on knowledge creation in Six Sigma DMAIC project and its impact on organizational performance. International Journal of Production Economics, 168, 105–117. https://doi.org/10.1016/j.ijpe.2015.06.007.

    Article  Google Scholar 

  25. 25.

    Shafer, S. M., & Moeller, S. B. (2012). The effects of Six Sigma on corporate performance: An empirical investigation. Journal of Operations Management, 30(7), 521–532. https://doi.org/10.1016/j.jom.2012.10.002.

    Article  Google Scholar 

  26. 26.

    Ertürk, M., Tuerdi, M., & Wujiabudula, A. (2016). The effects of Six Sigma Approach on business performance: A study of white goods (home appliances) sector in Turkey. Procedia - Social and Behavioral Sciences, 229, 444–452. https://doi.org/10.1016/j.sbspro.2016.07.154.

    Article  Google Scholar 

  27. 27.

    García-Alcaraz, J., Alor-Hernández, G., Sánchez-Ramírez, C., Jiménez-Macías, E., Blanco-Fernández, J., & Latorre-Biel, J. (2018). Mediating role of the Six Sigma implementation strategy and investment in human resources in economic success and sustainability. Sustainability, 10(6), 1828. https://doi.org/10.3390/su10061828.

    Article  Google Scholar 

  28. 28.

    Gutierrez Gutierrez, L., Barrales-Molina, V., & Tamayo-Torres, J. (2016). The knowledge transfer process in Six Sigma subsidiary firms. Total Quality Management & Business Excellence, 27(5/6), 613–627. https://doi.org/10.1080/14783363.2015.1032237.

    Article  Google Scholar 

  29. 29.

    García-Alcaraz, J., Avelar-Sosa, L., Latorre-Biel, J., Jiménez-Macías, E., & Alor-Hernández, G. (2017). Role of human knowledge and communication on operational benefits gained from Six Sigma. Sustainability, 9(10), 1721. https://doi.org/10.3390/su9101721.

    Article  Google Scholar 

  30. 30.

    Jevgeni, S., Shevtshenko, E., & Karaulova, T. (2013). Data mart with lean Six Sigma concept for performance level assessment in knowledge management frame. In European conference on knowledge management (Vol. 2, pp. 932–941)

  31. 31.

    Lin, C., Frank Chen, F., Wan, H.-D., Min Chen, Y., & Kuriger, G. (2013). Continuous improvement of knowledge management systems using Six Sigma methodology. Robotics and Computer-Integrated Manufacturing, 29(3), 95–103. https://doi.org/10.1016/j.rcim.2012.04.018.

    Article  Google Scholar 

  32. 32.

    White, M., García, J. L., Hernández, J. A., & Meza, J. (2009). Cycle time improvement by a Six Sigma project for the increase of new business accounts. International Journal of Industrial Engineering: Theory Applications and Practice, 16(3), 191–205.

    Google Scholar 

  33. 33.

    Bañuelas, R., Antony, J., & Brace, M. (2005). An application of Six Sigma to reduce waste. Quality and Reliability Engineering International, 21(6), 553–570. https://doi.org/10.1002/qre.669.

    Article  Google Scholar 

  34. 34.

    Zhang, W., & Xu, X. (2008). Six Sigma and information systems project management: A revised theoretical model. Project Management Journal, 39(3), 59–74. https://doi.org/10.1002/pmj.20066.

    Article  Google Scholar 

  35. 35.

    Mitchell, E. M., & Kovach, J. V. (2016). Improving supply chain information sharing using design for Six Sigma. European Research on Management and Business Economics, 22(3), 147–154. https://doi.org/10.1016/j.iedee.2015.02.002.

    Article  Google Scholar 

  36. 36.

    Marinagi, C., Trivellas, P., & Reklitis, P. (2015). Information quality and supply chain performance: The mediating role of information sharing. Procedia - Social and Behavioral Sciences, 175, 473–479. https://doi.org/10.1016/j.sbspro.2015.01.1225.

    Article  Google Scholar 

  37. 37.

    Marra, M., Ho, W., & Lee, C. K. M. (2016). Managing supply chain knowledge-based linkages for improving operational performance. Knowledge Management Research & Practice, 14(3), 256–269. https://doi.org/10.1057/kmrp.2014.28.

    Article  Google Scholar 

  38. 38.

    Chakravorty, S. S. (2009). Six Sigma failures: An escalation model. Operations Management Research, 2(1), 44. https://doi.org/10.1007/s12063-009-0020-8.

    Article  Google Scholar 

  39. 39.

    Erbiyik, H., & Saru, M. (2015). Six Sigma implementations in supply chain: An application for an automotive subsidiary industry in Bursa in Turkey. Procedia - Social and Behavioral Sciences, 195, 2556–2565. https://doi.org/10.1016/j.sbspro.2015.06.447.

    Article  Google Scholar 

  40. 40.

    Deeb, S., Haouzi, H. B.-E., Aubry, A., & Dassisti, M. (2018). A generic framework to support the implementation of Six Sigma approach in SMEs. IFAC-PapersOnLine, 51(11), 921–926. https://doi.org/10.1016/j.ifacol.2018.08.490.

    Article  Google Scholar 

  41. 41.

    de Freitas, J. G., Costa, H. G., & Ferraz, F. T. (2017). Impacts of Lean Six Sigma over organizational sustainability: A survey study. Journal of Cleaner Production, 156, 262–275. https://doi.org/10.1016/j.jclepro.2017.04.054.

    Article  Google Scholar 

  42. 42.

    Arumugam, V., Antony, J., & Linderman, K. (2016). Decision support: The influence of challenging goals and structured method on Six Sigma project performance: A mediated moderation analysis. European Journal of Operational Research, 254, 202–213. https://doi.org/10.1016/j.ejor.2016.03.022.

    Article  Google Scholar 

  43. 43.

    Kock, N. (2018). WarpPLS 6.0 user manual. Laredo, TX, USA: ScriptWarp Systems.

    Google Scholar 

  44. 44.

    Kock, N., Verville, J., Danesh-Pajou, A., & DeLuca, D. (2009). Communication flow orientation in business process modeling and its effect on redesign success: Results from a field study. Decision Support Systems, 46(2), 562–575. https://doi.org/10.1016/j.dss.2008.10.002.

    Article  Google Scholar 

  45. 45.

    Avelar-Sosa, L., Garcia-Alcaraz, J. L., Maldonado-Macias, A. A., & Mejia-Munoz, J. M. (2018). Application of structural equation modelling to analyse the impacts of logistics services on risk perception, agility and customer service level. Advances in Production Engineering & Management, 13(2), 179–192. https://doi.org/10.14743/apem2018.2.283.

    Article  Google Scholar 

  46. 46.

    Díaz-Reza, J., García-Alcaraz, J., Avelar-Sosa, L., Mendoza-Fong, J., Sáenz Diez-Muro, J., & Blanco-Fernández, J. (2018). The role of managerial commitment and TPM implementation strategies in productivity benefits. Applied Sciences, 8(7), 1153. https://doi.org/10.3390/app8071153.

    Article  Google Scholar 

  47. 47.

    García-Alcaraz, J. L., Prieto-Luevano, D. J., Maldonado-Macías, A. A., Blanco-Fernández, J., Jiménez-Macías, E., & Moreno-Jiménez, J. M. (2015). Structural equation modeling to identify the human resource value in the JIT implementation: Case maquiladora sector. International Journal of Advanced Manufacturing Technology, 77(5–8), 1483–1497. https://doi.org/10.1007/s00170-014-6561-5.

    Article  Google Scholar 

  48. 48.

    Zou, X. P. T., & Lee, W. B. (2010). A study of knowledge flow in Six Sigma teams in a Chinese manufacturing enterprise. VINE: The Journal of Information & Knowledge Management Systems, 40(3/4), 390–403. https://doi.org/10.1108/0305572101107148.

    Article  Google Scholar 

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Correspondence to Jorge Luis García-Alcaraz.

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García-Alcaraz, J.L., Montalvo, F.J.F., Avelar-Sosa, L. et al. The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Sigma. Wireless Netw 26, 5713–5726 (2020). https://doi.org/10.1007/s11276-019-02180-7

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Keywords

  • Decision support systems
  • Six Sigma
  • Knowledge coordination
  • Information management
  • Economic benefits