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Assessing Between-Group Differences in Implementation of Lean Six Sigma Management Conception

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Rising Threats in Expert Applications and Solutions

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 434))

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Abstract

This work is continuation of research described into two articles: „Empirical evaluation of the revised Technology Acceptance Model for Lean Six Sigma approach – a pilot study” and “Evaluation of the Technology Acceptance Model for Lean Six Sigma approach – the main study” has published by Springer. Due to the fact that acceptance for such key changes as the implementation of Lean Six Sigma is the basic determinant of the long-term success of this type of initiatives, explaining this process requires monitoring it and taking possible corrective actions regarding the change if necessary. Structural Equation Modeling will be used here to assess changes of the acceptance factors over time. This technique is a multivariate statistical analysis one that is used to analyze structural relationships among variables. This paper proposes for the first time a study of the change in the acceptance level over time as a diagnostic tool supporting change management. The prognostic aspect of this study is important for understanding the way changes are made (based on acceptance of six sigma in the organization), because its repetition(s) will help to set the direction of changes. This is the pragmatic value of this work.

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References

  1. H. Kurnia, H.H. Purba, A systematic literature review of lean six sigma in various industries. J. Eng. Manage. Ind. Syst. 9(2), 19–30 (2021)

    Google Scholar 

  2. Z. He, H. Hu, H. Liu, W. Wang, A review on the theoretical research and application of lean six sigma. Ind. Eng. J. 24(5), 1 (2021)

    Google Scholar 

  3. S.K. Tiwari, R.K. Singh, S.C. Srivastava, An integrated lean six sigma model for enhancing the competitive advantage of industries. Recent Advances in Industrial Production. (Springer, Singapore, 2022), pp. 437–448

    Google Scholar 

  4. M.M. Saxena, Six sigma methodologies and its application in manufacturing firms. Int. J. Eng. Manage. Res. 11(4), 79–85 (2021)

    Article  Google Scholar 

  5. C. Gastelum-Acosta, J. Limon-Romero, D. Tlapa, Y. Baez-Lopez, G. Tortorella, M.I. Rodriguez Borbon, C.X. Navarro-Cota, Assessing the adoption of critical success factors for lean six sigma implementation. J. Manufact. Technol. Manage. IF7.547 (2021)

    Google Scholar 

  6. D. Kaplan, Structural equation modeling. Foundations and Extensions. Thousand Oaks, CA: SAGE, 1 (2000)

    Google Scholar 

  7. S. Bedyńska, M. Książek, Statystyczny drogowskaz 3—praktyczny przewodnik wykorzystania modeli regresji oraz równań strukturalnych. Wydawnictwo Naukowe PWN, Warszawa (2012), pp. 202–215

    Google Scholar 

  8. F.D. Davis, A technology acceptance model for empirically testing new end user information systems: theory and results. Massachusetts Inst. Technol. 78–79 (1985)

    Google Scholar 

  9. G.K. Lee, R.E. Cole, From a firm-based to a community-based model of knowledge creation: the case of the Linux kernel development. Organ. Sci. 14(6), 633–649 (2003)

    Article  Google Scholar 

  10. K.A. Bollen, Structural equations with latent variables. (Wiley, New York, 1989), pp. 10–39

    Google Scholar 

  11. A. Januszewski, Modele równań strukturalnych w metodologii badań psychologicznych. Problematyka przyczynowości w modelach strukturalnych i dopuszczalność modeli. Studia z Psychologii w KUL, tom 17, 218–219 (2006)

    Google Scholar 

  12. D. Dimitrov, Comparing groups on latent variables: a structural equation modeling approach. IOS Press, Work 26(4), 429 (2006)

    Google Scholar 

  13. K.G. Jöreskog, Simultaneous factor analysis in several populations. Psychometrika 36(4), 409–426 (1971)

    Article  Google Scholar 

  14. S. Bedyńska, A. Brzezicka, Statystyczny drogowskaz—praktyczny poradnik analizy danych w naukach społecznych na przykładach z psychologii. Wydawnictwo SWPS Academica, Warszawa (2007), p. 197

    Google Scholar 

  15. G.A. Ferguson, Y. Takane, Analiza statystyczna w psychologii i pedagogice (Wydawnictwo Naukowe PWN, Warszawa, 2003), pp. 197–215

    Google Scholar 

  16. I. Qureshi, D. Compeau, Assessing between-group differences in information systems research: a comparison of covariance-and component-based SEM. MIS quarterly, 197–214 (2009)

    Google Scholar 

  17. J. Nevitt, G.R. Hancock, Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling. Struct. Equ. Model. 8(3), 353–377 (2001)

    Article  MathSciNet  Google Scholar 

  18. M. Machaczka, Znaczenie miękkiego zarządzania w implementacji szczupłej organizacji. Zeszyty Naukowe Uniwersytetu Szczecińskiego, nr 702, Ekonomiczne Problemy Usług, no. 87, 199 (2012)

    Google Scholar 

  19. K. Kmiotek, Zachowania organizacyjne. Difin, Warszawa (2012), p. 44

    Google Scholar 

  20. I. Ajzen, M. Fishbein, Understanding attitudes and predicting social behavior (Englewood Cliffs, NJ. Prentice-Hall, 1980), p. 30

    Google Scholar 

  21. R.P. McDonald, W.R. Krane, A note on local identifiability and degrees of freedom in the asymptotic likelihood ratio test. Br. J. Math. Stat. Psychol. 30, 198–203 (1977)

    Article  Google Scholar 

  22. L. Zając-Lamparska, Ł Warchoł, M. Deja, Analiza danych podłużnych Modelowanie latentnych krzywych rozwojowych. Polskie Forum Psychologiczne 23(2), 396 (2018)

    Google Scholar 

  23. A.D. Farrell, Structural equation modeling with longitudinal data: strategies for examining group differences and reciprocal relationships. J. Consult. Clin. Psychol. 62(3), 477–487 (1994)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. AWSB University, Dabrowa Gornicza, Poland

    Slawomir Switek

Authors
  1. Slawomir Switek
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Correspondence to Slawomir Switek .

Editor information

Editors and Affiliations

  1. IIS (Deemed to be University), Jaipur, Rajastan, India

    Vijay Singh Rathore

  2. Electronics and Computer Discipline, Indian Institute of Technology, Roorkee, Uttarakhand, India

    Subhash Chander Sharma

  3. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Joao Manuel R.S. Tavares

  4. Faculty of Science, School Information Systems, Queensland University of Technology, Brisbane, QLD, Australia

    Catarina Moreira

  5. Deparment of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, Pondicherry, India

    B. Surendiran

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Switek, S. (2022). Assessing Between-Group Differences in Implementation of Lean Six Sigma Management Conception. In: Rathore, V.S., Sharma, S.C., Tavares, J.M.R., Moreira, C., Surendiran, B. (eds) Rising Threats in Expert Applications and Solutions. Lecture Notes in Networks and Systems, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-19-1122-4_52

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