How to cite this paper
Terdpaopong, K., Puapradit, A & Malisuwan, U. (2021). The effect of lean on the operational performance of medium-sized Thai manufacturing companies.Uncertain Supply Chain Management, 9(3), 647-658.
Refrences
Ahmed, S., Hassan, M.H., & Taha, Z. (2004). State of implementation of TPM in SMIs: a survey study in Malaysia. Journal of Quality in Maintenance Engineering, 10(2), 93–106.
Åhlström, P. (1998). Sequences in the implementation of lean production. European Management Journal, 16(3), 327-334.
Aigbedo, H. (2007). An assessment of the effect of mass customization on suppliers’ inventory levels in a JIT supply chain. European Journal of Operational Research, 181(2), 704–715.
Alkhoraif, A., Rashid, H., & McLaughlin, P. (2019). Lean implementation in small and medium enterprises: Literature review. Operations Research Perspectives, 6. https://doi.org/10.1016/j.orp.2018.100089.
Arbuckle, J.L. (2009). Amos 18.0 User’s Guide. USA: Amos Development Corporation.
Arbuckle, J. L. (2012). IBM SPSS Amos 21 Users Guide. Chicago, IL: IBM Software Group.
Awang, Z. (2012). Structural Equation Modeling Using Amos Graphic: UiTM Press.
Brah, S.A., & Chong, W.K. (2004). Relationship between total productive maintenance and performance. International Journal of Production Research, 42(12), 2383-2401.
Belekoukias, I., Garza-Reyes, J. A., & Kumar, V. (2014). The impact of lean methods and tools on the operational performance of manufacturing organisations. International Journal of production research, 52(18), 5346-5366.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-46. doi:
Bhasin, S., & Burcher, P. (2006). Lean viewed as a philosophy. Journal of Manufacturing Technology Management, 17(1), 56-72.
Brown, M. W., & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In K. A. Bollen, & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage.
Boomsma, A., Hoyle, R. H., & Panter, A. T. (2012). The structural equation modeling research report.
Boyer, K.K., & Pagell, M. (2000). Measurement issues in empirical research: Improving measures of operations strategy and advanced manufacturing strategy. Journal of Operations Management, 18(3), 361-374
Byrne, B.M. (2010). Structural Equation Modeling with AMOS. 2nd ed., Taylor & Francis Group.
Chong, H., White, R.E., & Prybutok, V. (2001). Relationship among organizational support, JIT implementation, and performance. Industrial Management & Data Systems, 101(5/6), 273–281.
Crute, V., Wickham, A., Johns, R. and Graves, A. (2008). Exploring competitive advantage through lean implementation in the Aerospace supply chain. IFIP International Federation for Information Processing, 257, 357–364.
Cua, K. O., McKone, K. E., Schroeder, R. G. (2001). Relationships between implementation of TQM, JIT, and TPM and manufacturing performance. Journal of Operations Management, 19(2), 675-694.
Dombrowski, U., Crespo, I. & Zahn, T. (2010). Adaptive Configuration of a Lean Production System in Small and Medium-sized Enterprises. Prod. Eng. Research Development. 4, 341–348. https://doi.org/10.1007/s11740-010-0250-5
Dombrowski, U., Mielke, T., & Schulze S. (2012) Employee Participation in the Implementation of Lean Production Systems. In: ElMaraghy H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_70
Dziuban, C. D., & Shirkey, E. C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychol. Bull. 81, 358–361. doi: 10.1037/h0036316
Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S.R. Park, H., & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Process, 5, 19 (2016). https://doi.org/10.1186/s13717-016-0063-3
Forrester, P., Shimizu, U., Soriano-Meier, H., Garza-Reyes, J.A., Basso, L. (2010). Lean production, market share and value creation in the agricultural machinery sector in Brazil. Journal of Manufacturing Technology Management, 21(7), 853- 871.
Galton, F. (1888) Co-relations and their measurement. Proceedings of the Royal Society. London Series, 45,135-145,
Garza-Reyes, J. A., Oraifige, I., Soriano-Meier, H., Forrester, P., & Harmanto, D. (2012). The development of a lean park homes production process using process flow and simulation methods. Journal of Manufacturing Technology Management, 23, 178-197. 10.1108/17410381211202188.
Grace, J. B., Scheiner, S. M., & Schoolmaster Jr, D. R. (2015). Structural equation modeling: building and evaluating causal models: Chapter 8. 10.1093/acprof:oso/9780199672547.003.0009.
Gupta, S., & Jain, S. (2013). A literature review of lean manufacturing. International Journal of Management Science and Engineering Management, 8. 10.1080/17509653.2013.825074.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. 7th ed. Prentice Hall, Upper Saddle River, New Jersey.
Hakim, L. (2016). Implementation Just in Time Dalam Meningkatkatkan Produktivitas Efisiensi Biaya Produksi. Journal of Research and Technology, 1, 1.
Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modeling: Guidelines for determining model fit. Journal of Business Research Methods, 6, 53–60
Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (p. 1–15). Sage Publications, Inc.
Hoyle, R. H. (2011). The SAGE library of methods in social and personality psychology. Structural equation modeling for social and personality psychology. Sage Publications Ltd.
Institute for Small and Medium Enterprises Development. (2006). SMEs’ definition.
Irzik, G., & Meyer, E. (1987). Causal Modeling: New Directions for Statistical Explanation. Philosophy of Science, 54(4), 495-514. Retrieved April 22, 2021, from http://www.jstor.org/stable/187747
Jöreskog, K. G.A. (1967), Some contributions to maximum likelihood factor analysis. Psychometrika, 32, 443–482.
Jöreskog, K. G. A. (1969). General approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34, 183–202.
Jöreskog, K. G. A. (1970a). General method for analysis of covariance structures. Biometrika. 57, 239–251.
Jöreskog, K. G.A. (1970b). Estimation and testing of simplex models. British Journal of Mathematical and Statistical Psychology, 1970(23), 121–145.
Jöreskog, K. G. Analysis of covariance structures. In P. R. Krishnaiah (Ed.) Multivariate analysis—III. New York: Academic Press, Inc., 1973, 263–285.
Jöreskog, K. G. & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 10, 631–639.
Jöreskog, K. G. & Sörbom, D. (1974). Some regression models useful in the measurement of change (Res. Rep. 74-3). Uppsala, Sweden: Department of Statistics, University of Uppsala.
Kaneko, J., & Nojiri, W. (2008). The logistics of Just‐in‐Time between parts suppliers and car assemblers in Japan. Journal of Transportation, 1, 155–173.
Kennedy, J., & Hyland, P. (2003). A comparison of manufacturing technology adoption in SMEs and large companies. In: 16th annual conference of small enterprise association of Australia and New Zealand, Ballarat, Australia, 1–10.
Kline, R. B. (2010). Principles and practice of structural equation modeling. 3rd ed., New York, New York: Guilford Press.
Kyobe, M. (2004). Investigating the Strategic Utilization of IT Resources in the Small and Medium-sized Firms of the Eastern Free State Province. International of Small Business Journal, 22(2), 131–158.
Kumar, V. (2010). JIT based quality management: concepts and implications in Indian context. International Journal of Engineering Science and Technology, 2(1), 40-50.
Lewis, M.A. (2000). Lean production and sustainable competitive advantage. International Journal of Operations & Production Management, 20(8), 959-978. https://doi.org/10.1108/01443570010332971
Liao, K., & Tu, Q. (2007). Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study. Journal of Manufacturing Technology Management, 19, 38-51. 10.1108/17410380810843444.
Liu, C., Niu, Z., Chang, P., & Zhang, B. (2017). Assessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS. International Journal of Production Research, 55(23), 7223-7235.
Mackelprang, A., & Nair, A. (2010). Relationship between just-in-time manufacturing practices and performance: A meta-analytic investigation. Journal of Operations Management, 28, 283-302. 10.1016/j.jom.2009.10.002.
Matt, D.T., & Rauch, E. (2013). Implementation of Lean Production in small sized enterprises. 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Procedia CIRP. 12, 420-425.
Mazanai, M. (2012). Impact of just-in-time (JIT) inventory system on efficiency, quality and flexibility among manufacturing sector, small and medium enterprises (SMEs) in South Africa. African Journal of Business Manager, 6(17), 5786-5791.
McLachlin, R. (1997). Management initiatives and Just-in-Time manufacturing. Journal of Operations Management, 15(4), 271–292.
Meybodi, M. Z. (2003). Using principles of just-in-time to improve new product development process. Advances in Competitiveness Research, 11 (1), 116–138.
Mistry, J. J. (2005). Origins of profitability through JIT processes in the supply chain. Industrial Management & Data Systems, 105(5/6), 752–768.
O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behav. Res. Methods Instrum. Comput. 32, 396–402. doi: 10.3758/bf03200807
Olivencia, S. (2019). Kanban without Kaizen is pointless. The lean global network journal. https://planet-lean.com/kanban-without-kaizen-pointless/
Pavnaskar, S.J., Gershenson, J.K., & Jambekar, A.B. (2003). Classification scheme for lean manufacturing tools. International Journal of Production Research, 41(13), 3075–3090.
Phogat, S., & Gupta, A. (2017). Theoretical analysis of JIT elements for implementation in maintenance sector. Uncertain Supply Chain Management, 5(3), 187-200.
Phogat, S., & Gupta, A. K. (2019). Expected maintenance waste reduction benefits after implementation of Just in Time (JIT) philosophy in maintenance (a statistical analysis). Journal of Quality in Maintenance Engineering, 25(1), 25-40.
Prajogo, N. H., & Johnston, R.B. (1997). Barriers to just-in-time implementation in small manufacturing enterprises. Department of Business Systems, Monash University, 90–93.
Randhawa, J.S., & Ahuja, I.S. (2017). 5S – a quality improvement tool for sustainable performance: literature review and directions. International Journal of Quality & Reliability Management, 34(3), 334-361. https://doi.org/10.1108/IJQRM-03-2015-0045)
Ramaswamy, N.R., Selladurai, V., & Gunasekaran, A. (2002). Just-in-time implementation in small and medium enterprises. Work Study, 51(2/3), 85–90.
Rocha-Lona, L., Garza-Reyes J.A., Kumar, V. (2013), Building quality management systems: selecting the right methods and tools, Productivity Press, CRC Press, Taylor & Francis, Boca Raton, FL.
Romero, D., Gaiardelli, P., Powell, D., Wuest, T., & Thürer, M. (2019). Rethinking jidoka systems under automation & learning perspectives in the digital lean manufacturing world. IFAC-PapersOnLine, 52(13), 899-903.
Salaheldin, S. I. (2005). JIT implementation in Egyptian manufacturing firms: Some empirical evidence. International Journal of Operations & Production Management, 25(4), 354–370.
Shingo, S. (1981), A study of Toyota production system: from an industrial engineering viewpoint, Japan Management Association, Tokyo
Sparrow, P., Hird, M., & Cooper, C.L. (2015) Lean Management and Organizational Effectiveness. In: Do We Need HR?. Palgrave Macmillan, London. https://doi.org/10.1057/9781137313775_4
Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101.
Steiger, J. H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behav. Res. 25, 173–180. doi: 10.1207/s15327906mbr2502_4
Upadhye, N., Deshmukh, S.G., & Garg, S. (2010). Lean manufacturing in biscuit manufacturing plant: a case. International Journal of Advanced Operations Management, 2(1-2), 108-139.
Wright, S. (1934). The Method of Path Coefficients. The Annals of Mathematical Statistics, 5(3), 161-215. Retrieved April 22, 2021, from http://www.jstor.org/stable/2957502
Willmer, M., Westerberg, J. J., & Lindberg, M. (2019). Exploratory and Confirmatory Factor Analysis of the 9-Item Utrecht Work Engagement Scale in a Multi-Occupational Female Sample: A Cross-Sectional Study. Frontiers in Psychology, 10, 2771.
Womack, J. P., & Jones, D. T. (1996). Lean thinking: Banish waste and create wealth in your corporation.
Zahraee, S., & Hashemi, A., Abdi, A., & Shahpanah, A. (2014). Lean Manufacturing Implementation Through Value Stream Mapping: A Case Study. Journal Teknologi, 68, 119–124. 10.11113/jt.v68.2957.
Åhlström, P. (1998). Sequences in the implementation of lean production. European Management Journal, 16(3), 327-334.
Aigbedo, H. (2007). An assessment of the effect of mass customization on suppliers’ inventory levels in a JIT supply chain. European Journal of Operational Research, 181(2), 704–715.
Alkhoraif, A., Rashid, H., & McLaughlin, P. (2019). Lean implementation in small and medium enterprises: Literature review. Operations Research Perspectives, 6. https://doi.org/10.1016/j.orp.2018.100089.
Arbuckle, J.L. (2009). Amos 18.0 User’s Guide. USA: Amos Development Corporation.
Arbuckle, J. L. (2012). IBM SPSS Amos 21 Users Guide. Chicago, IL: IBM Software Group.
Awang, Z. (2012). Structural Equation Modeling Using Amos Graphic: UiTM Press.
Brah, S.A., & Chong, W.K. (2004). Relationship between total productive maintenance and performance. International Journal of Production Research, 42(12), 2383-2401.
Belekoukias, I., Garza-Reyes, J. A., & Kumar, V. (2014). The impact of lean methods and tools on the operational performance of manufacturing organisations. International Journal of production research, 52(18), 5346-5366.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-46. doi:
Bhasin, S., & Burcher, P. (2006). Lean viewed as a philosophy. Journal of Manufacturing Technology Management, 17(1), 56-72.
Brown, M. W., & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In K. A. Bollen, & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage.
Boomsma, A., Hoyle, R. H., & Panter, A. T. (2012). The structural equation modeling research report.
Boyer, K.K., & Pagell, M. (2000). Measurement issues in empirical research: Improving measures of operations strategy and advanced manufacturing strategy. Journal of Operations Management, 18(3), 361-374
Byrne, B.M. (2010). Structural Equation Modeling with AMOS. 2nd ed., Taylor & Francis Group.
Chong, H., White, R.E., & Prybutok, V. (2001). Relationship among organizational support, JIT implementation, and performance. Industrial Management & Data Systems, 101(5/6), 273–281.
Crute, V., Wickham, A., Johns, R. and Graves, A. (2008). Exploring competitive advantage through lean implementation in the Aerospace supply chain. IFIP International Federation for Information Processing, 257, 357–364.
Cua, K. O., McKone, K. E., Schroeder, R. G. (2001). Relationships between implementation of TQM, JIT, and TPM and manufacturing performance. Journal of Operations Management, 19(2), 675-694.
Dombrowski, U., Crespo, I. & Zahn, T. (2010). Adaptive Configuration of a Lean Production System in Small and Medium-sized Enterprises. Prod. Eng. Research Development. 4, 341–348. https://doi.org/10.1007/s11740-010-0250-5
Dombrowski, U., Mielke, T., & Schulze S. (2012) Employee Participation in the Implementation of Lean Production Systems. In: ElMaraghy H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_70
Dziuban, C. D., & Shirkey, E. C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychol. Bull. 81, 358–361. doi: 10.1037/h0036316
Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S.R. Park, H., & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Process, 5, 19 (2016). https://doi.org/10.1186/s13717-016-0063-3
Forrester, P., Shimizu, U., Soriano-Meier, H., Garza-Reyes, J.A., Basso, L. (2010). Lean production, market share and value creation in the agricultural machinery sector in Brazil. Journal of Manufacturing Technology Management, 21(7), 853- 871.
Galton, F. (1888) Co-relations and their measurement. Proceedings of the Royal Society. London Series, 45,135-145,
Garza-Reyes, J. A., Oraifige, I., Soriano-Meier, H., Forrester, P., & Harmanto, D. (2012). The development of a lean park homes production process using process flow and simulation methods. Journal of Manufacturing Technology Management, 23, 178-197. 10.1108/17410381211202188.
Grace, J. B., Scheiner, S. M., & Schoolmaster Jr, D. R. (2015). Structural equation modeling: building and evaluating causal models: Chapter 8. 10.1093/acprof:oso/9780199672547.003.0009.
Gupta, S., & Jain, S. (2013). A literature review of lean manufacturing. International Journal of Management Science and Engineering Management, 8. 10.1080/17509653.2013.825074.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. 7th ed. Prentice Hall, Upper Saddle River, New Jersey.
Hakim, L. (2016). Implementation Just in Time Dalam Meningkatkatkan Produktivitas Efisiensi Biaya Produksi. Journal of Research and Technology, 1, 1.
Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modeling: Guidelines for determining model fit. Journal of Business Research Methods, 6, 53–60
Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (p. 1–15). Sage Publications, Inc.
Hoyle, R. H. (2011). The SAGE library of methods in social and personality psychology. Structural equation modeling for social and personality psychology. Sage Publications Ltd.
Institute for Small and Medium Enterprises Development. (2006). SMEs’ definition.
Irzik, G., & Meyer, E. (1987). Causal Modeling: New Directions for Statistical Explanation. Philosophy of Science, 54(4), 495-514. Retrieved April 22, 2021, from http://www.jstor.org/stable/187747
Jöreskog, K. G.A. (1967), Some contributions to maximum likelihood factor analysis. Psychometrika, 32, 443–482.
Jöreskog, K. G. A. (1969). General approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34, 183–202.
Jöreskog, K. G. A. (1970a). General method for analysis of covariance structures. Biometrika. 57, 239–251.
Jöreskog, K. G.A. (1970b). Estimation and testing of simplex models. British Journal of Mathematical and Statistical Psychology, 1970(23), 121–145.
Jöreskog, K. G. Analysis of covariance structures. In P. R. Krishnaiah (Ed.) Multivariate analysis—III. New York: Academic Press, Inc., 1973, 263–285.
Jöreskog, K. G. & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 10, 631–639.
Jöreskog, K. G. & Sörbom, D. (1974). Some regression models useful in the measurement of change (Res. Rep. 74-3). Uppsala, Sweden: Department of Statistics, University of Uppsala.
Kaneko, J., & Nojiri, W. (2008). The logistics of Just‐in‐Time between parts suppliers and car assemblers in Japan. Journal of Transportation, 1, 155–173.
Kennedy, J., & Hyland, P. (2003). A comparison of manufacturing technology adoption in SMEs and large companies. In: 16th annual conference of small enterprise association of Australia and New Zealand, Ballarat, Australia, 1–10.
Kline, R. B. (2010). Principles and practice of structural equation modeling. 3rd ed., New York, New York: Guilford Press.
Kyobe, M. (2004). Investigating the Strategic Utilization of IT Resources in the Small and Medium-sized Firms of the Eastern Free State Province. International of Small Business Journal, 22(2), 131–158.
Kumar, V. (2010). JIT based quality management: concepts and implications in Indian context. International Journal of Engineering Science and Technology, 2(1), 40-50.
Lewis, M.A. (2000). Lean production and sustainable competitive advantage. International Journal of Operations & Production Management, 20(8), 959-978. https://doi.org/10.1108/01443570010332971
Liao, K., & Tu, Q. (2007). Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study. Journal of Manufacturing Technology Management, 19, 38-51. 10.1108/17410380810843444.
Liu, C., Niu, Z., Chang, P., & Zhang, B. (2017). Assessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS. International Journal of Production Research, 55(23), 7223-7235.
Mackelprang, A., & Nair, A. (2010). Relationship between just-in-time manufacturing practices and performance: A meta-analytic investigation. Journal of Operations Management, 28, 283-302. 10.1016/j.jom.2009.10.002.
Matt, D.T., & Rauch, E. (2013). Implementation of Lean Production in small sized enterprises. 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Procedia CIRP. 12, 420-425.
Mazanai, M. (2012). Impact of just-in-time (JIT) inventory system on efficiency, quality and flexibility among manufacturing sector, small and medium enterprises (SMEs) in South Africa. African Journal of Business Manager, 6(17), 5786-5791.
McLachlin, R. (1997). Management initiatives and Just-in-Time manufacturing. Journal of Operations Management, 15(4), 271–292.
Meybodi, M. Z. (2003). Using principles of just-in-time to improve new product development process. Advances in Competitiveness Research, 11 (1), 116–138.
Mistry, J. J. (2005). Origins of profitability through JIT processes in the supply chain. Industrial Management & Data Systems, 105(5/6), 752–768.
O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behav. Res. Methods Instrum. Comput. 32, 396–402. doi: 10.3758/bf03200807
Olivencia, S. (2019). Kanban without Kaizen is pointless. The lean global network journal. https://planet-lean.com/kanban-without-kaizen-pointless/
Pavnaskar, S.J., Gershenson, J.K., & Jambekar, A.B. (2003). Classification scheme for lean manufacturing tools. International Journal of Production Research, 41(13), 3075–3090.
Phogat, S., & Gupta, A. (2017). Theoretical analysis of JIT elements for implementation in maintenance sector. Uncertain Supply Chain Management, 5(3), 187-200.
Phogat, S., & Gupta, A. K. (2019). Expected maintenance waste reduction benefits after implementation of Just in Time (JIT) philosophy in maintenance (a statistical analysis). Journal of Quality in Maintenance Engineering, 25(1), 25-40.
Prajogo, N. H., & Johnston, R.B. (1997). Barriers to just-in-time implementation in small manufacturing enterprises. Department of Business Systems, Monash University, 90–93.
Randhawa, J.S., & Ahuja, I.S. (2017). 5S – a quality improvement tool for sustainable performance: literature review and directions. International Journal of Quality & Reliability Management, 34(3), 334-361. https://doi.org/10.1108/IJQRM-03-2015-0045)
Ramaswamy, N.R., Selladurai, V., & Gunasekaran, A. (2002). Just-in-time implementation in small and medium enterprises. Work Study, 51(2/3), 85–90.
Rocha-Lona, L., Garza-Reyes J.A., Kumar, V. (2013), Building quality management systems: selecting the right methods and tools, Productivity Press, CRC Press, Taylor & Francis, Boca Raton, FL.
Romero, D., Gaiardelli, P., Powell, D., Wuest, T., & Thürer, M. (2019). Rethinking jidoka systems under automation & learning perspectives in the digital lean manufacturing world. IFAC-PapersOnLine, 52(13), 899-903.
Salaheldin, S. I. (2005). JIT implementation in Egyptian manufacturing firms: Some empirical evidence. International Journal of Operations & Production Management, 25(4), 354–370.
Shingo, S. (1981), A study of Toyota production system: from an industrial engineering viewpoint, Japan Management Association, Tokyo
Sparrow, P., Hird, M., & Cooper, C.L. (2015) Lean Management and Organizational Effectiveness. In: Do We Need HR?. Palgrave Macmillan, London. https://doi.org/10.1057/9781137313775_4
Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101.
Steiger, J. H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behav. Res. 25, 173–180. doi: 10.1207/s15327906mbr2502_4
Upadhye, N., Deshmukh, S.G., & Garg, S. (2010). Lean manufacturing in biscuit manufacturing plant: a case. International Journal of Advanced Operations Management, 2(1-2), 108-139.
Wright, S. (1934). The Method of Path Coefficients. The Annals of Mathematical Statistics, 5(3), 161-215. Retrieved April 22, 2021, from http://www.jstor.org/stable/2957502
Willmer, M., Westerberg, J. J., & Lindberg, M. (2019). Exploratory and Confirmatory Factor Analysis of the 9-Item Utrecht Work Engagement Scale in a Multi-Occupational Female Sample: A Cross-Sectional Study. Frontiers in Psychology, 10, 2771.
Womack, J. P., & Jones, D. T. (1996). Lean thinking: Banish waste and create wealth in your corporation.
Zahraee, S., & Hashemi, A., Abdi, A., & Shahpanah, A. (2014). Lean Manufacturing Implementation Through Value Stream Mapping: A Case Study. Journal Teknologi, 68, 119–124. 10.11113/jt.v68.2957.