References
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
- Albliwi, S., Antony, J., Abdul Halim Lim, S., & van der Wiele, T. (2014). Critical failure factors of Lean Six sigma: A systematic literature review. International Journal of Quality & Reliability Management, 31(9), 1012–1030. doi: https://doi.org/10.1108/IJQRM-09-2013-0147
- Albliwi, S. A., Antony, J., & Lim, S. A. H. (2015). A systematic review of Lean Six Sigma for the manufacturing industry. Business Process Management Journal, 21(3), 665–691. https://doi.org/10.1108/BPMJ-03-2014-0019
- Anand, G., Ward, P. T., Tatikonda, M. V., & Schilling, D. A. (2009). Dynamic capabilities through continuous improvement infrastructure. Journal of Operations Management, 27(6), 444–461. https://doi.org/10.1016/j.jom.2009.02.002
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. https://doi.org/10.1037/0033-2909.103.3.411
- Ansari, SM, Fiss, PC, & Zajac, EJ. (2010). Academy of management review (Vol. 35, pp. 67–92).
- Antony, J., Vinodh, S., & Gijo, E. V. (2016). Lean six sigma for small and medium sized enterprises: A practical guide. CRC Press.
- Arumugam, V., Antony, J., & Linderman, K. W. (2014). A multilevel framework of Six Sigma: A systematic review of the literature, possible extensions, and future research. Quality Management Journal, 21(4), 36–61. https://doi.org/10.1080/10686967.2014.11918408
- Belekoukias, I, Garza-Reyes, JA, & 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. doi: https://doi.org/10.1080/00207543.2014.903348
- Bessant, J., Caffyn, S., & Gilbert, J. (1994). Mobilizing continuous improvement for strategic advantage. EUROMA, 1, 175–180.
- Bessant, J., Caffyn, S., & Gilbert, J. (1996). Learning to manage innovation. Technology Analysis & Strategic Management, 8(1), 59–70. doi: https://doi.org/10.1080/09537329608524233
- Bhamu, J., & Singh Sangwan, K. (2014). Lean manufacturing: Literature review and research issues. International Journal of Operations & Production Management, 34(7), 876–940. https://doi.org/10.1108/IJOPM-08-2012-0315
- Brun, A. (2011). Critical success factors of Six Sigma implementations in Italian companies. International Journal of Production Economics, 131(1), 158–164. doi: https://doi.org/10.1016/j.ijpe.2010.05.008
- Chakravorty, S. S. (2009). Six Sigma programs: An implementation model. International Journal of Production Economics, 119(1), 1–16. doi: https://doi.org/10.1016/j.ijpe.2009.01.003
- Choi, B., Kim, J., Leem, B. H., Lee, C. Y., & Hong, H. K. (2012). Empirical analysis of the relationship between Six Sigma management activities and corporate competitiveness: Focusing on Samsung group in Korea. International Journal of Operations & Production Management, 32(5), 528–550. doi: https://doi.org/10.1108/01443571211226489
- Choo, A. S., Linderman, K. W., & Schroeder, R. G. (2007a). Method and psychological effects on learning behaviors and knowledge creation in quality improvement projects. Management Science, 53(3), 437–450. https://doi.org/10.1287/mnsc.1060.0635
- Choo, A. S., Linderman, K. W., & Schroeder, R. G. (2007b). Method and context perspectives on learning and knowledge creation in quality management. Journal of Operations Management, 25(4), 918–931. https://doi.org/10.1016/j.jom.2006.08.002
- Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
- Dow, D., Samson, D., & Ford, S. (1999). Exploding the myth: Do all quality management practices contribute to superior quality performance? Production and Operations Management, 8(1), 1–27. https://doi.org/10.1111/j.1937-5956.1999.tb00058.x
- Easton, G. S., & Rosenzweig, E. D. (2012). The role of experience in six sigma project success: An empirical analysis of improvement projects. Journal of Operations Management, 30(7-8), 481–493. https://doi.org/10.1016/j.jom.2012.08.002
- Flynn, B. B., Schroeder, R. G., & Sakakibara, S. (1994). A framework for quality management research and an associated measurement instrument. Journal of Operations Management, 11(4), 339–366. doi: https://doi.org/10.1016/S0272-6963(97)90004-8
- Fullerton, R. R., McWatters, C. S., & Fawson, C. (2003). An examination of the relationships between JIT and financial performance. Journal of Operations Management, 21(4), 383–404. doi: https://doi.org/10.1016/S0272-6963(03)00002-0
- Hatch, N. W., & Mowery, D. C. (1998). Process innovation and learning by doing in semiconductor manufacturing. Management Science, 44(11-part-1), 1461–1477. https://doi.org/10.1287/mnsc.44.11.1461
- Hayler, R., & Nichols, M. (2007). Six Sigma for financial services: How leading companies are driving results using lean, six sigma, and process management. McGraw Hill Professional.
- Hensley, R. L. (1999). A review of operations management studies using scale development techniques. Journal of Operations Management, 17(3), 343–358. doi: https://doi.org/10.1016/S0272-6963(98)00051-5
- Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21(5), 967–988. doi: https://doi.org/10.1177/014920639502100509
- Ittner, C. D., & Larcker, D. F. (1997). The performance effects of process management techniques. Management Science, 43(4), 522–534. https://doi.org/10.1287/mnsc.43.4.522
- Jackson, D. L. (2003). Revisiting sample size and number of parameter estimates: Some support for the N: Q hypothesis. Structural Equation Modeling, 10(1), 128–141. https://doi.org/10.1207/S15328007SEM1001_6
- Jayaram, J., Droge, C., & Vickery, S. K. (1999). The impact of human resource management practices on manufacturing performance. Journal of Operations Management, 18(1), 1–20. https://doi.org/10.1016/S0272-6963(99)00013-3
- Jones, A. P., & James, L. R. (1979). Psychological climate: Dimensions and relationships of individual and aggregated work environment perceptions. Organizational Behavior and Human Performance, 23(2), 201–250. https://doi.org/10.1016/0030-5073(79)90056-4
- Kennedy, M. T., & Fiss, P. C. (2009). Institutionalization, framing, and diffusion: The logic of TQM adoption and implementation decisions among US hospitals. Academy of Management Journal, 52(5), 897–918. https://doi.org/10.5465/amj.2009.44633062
- Kline, R. B. (2001). Principles and practices of structural equation modelling. The Guilford Press.
- Kotter, J. P. (1995, March-April). Leading change: Why transformation efforts fail. Harvard Business Review, pp. 59–67.
- Kumar, M., Antony, J., & Tiwari, M. K. (2011). Six Sigma implementation framework for SMEs–a roadmap to manage and sustain the change. International Journal of Production Research, 49(18), 5449–5467. doi: https://doi.org/10.1080/00207543.2011.563836
- Kwak, Y. H., & Anbari, F. T. (2006). Benefits, obstacles, and future of six sigma approach. Technovation, 26(5-6), 708–715. https://doi.org/10.1016/j.technovation.2004.10.003
- Laureani, A., & Antony, J. (2018). Leadership–a critical success factor for the effective implementation of Lean Six Sigma. Total Quality Management & Business Excellence, 29(5-6), 502–523. https://doi.org/10.1080/14783363.2016.1211480
- Linderman, K. W., Schroeder, R. G., & Choo, A. S. (2006). Six Sigma: The role of goals in improvement teams. Journal of Operations Management, 24(6), 779–790. doi: https://doi.org/10.1016/j.jom.2005.08.005
- Linderman, K. W., Schroeder, R. G., & Sanders, J. (2010). A knowledge framework underlying process management. Decision Sciences, 41(4), 689–719. https://doi.org/10.1111/j.1540-5915.2010.00286.x
- Linderman, K. W., Schroeder, R. G., Zaheer, S., & Choo, A. S. (2003). Six Sigma: A goal-theoretic perspective. Journal of Operations Management, 21(2), 193–203. doi: https://doi.org/10.1016/S0272-6963(02)00087-6
- Lleo, A., Viles, E., Jurburg, D., & Lomas, L. (2017). Strengthening employee participation and commitment to continuous improvement through middle manager trustworthy behaviours. Total Quality Management & Business Excellence, 28(9-10), 974–988. https://doi.org/10.1080/14783363.2017.1303872
- Matthews, R. L., & Marzec, P. E. (2017). Continuous, quality and process improvement: Disintegrating and reintegrating operational improvement? Total Quality Management & Business Excellence, 28(3-4), 296–317. https://doi.org/10.1080/14783363.2015.1081812
- McAdam, R., & Lafferty, B. (2004). A multilevel case study critique of Six Sigma: Statistical control or strategic change? International Journal of Operations & Production Management, 24(5), 530–549. https://doi.org/10.1108/01443570410532579
- McLean, R. S., & Antony, J. (2017). A conceptual continuous improvement implementation framework for UK manufacturing companies. International Journal of Quality & Reliability Management, 34(7), 1015–1033. https://doi.org/10.1108/IJQRM-02-2016-0022
- McLean, R. S., Antony, J., & Dahlgaard, J. J. (2017). Failure of continuous improvement initiatives in manufacturing environments: A systematic review of the evidence. Total Quality Management & Business Excellence, 28(3-4), 219–237. https://doi.org/10.1080/14783363.2015.1063414
- Nair, A., Malhotra, M. K., & Ahire, S. L. (2011). Toward a theory of managing context in six sigma process-improvement projects: An action research investigation. Journal of Operations Management, 29(5), 529–548. https://doi.org/10.1016/j.jom.2010.11.014
- Prashar, A., & Antony, J. (2018). Towards continuous improvement (CI) in professional service delivery: A systematic literature review. Total Quality Management & Business Excellence, 1–29. https://doi.org/10.1080/14783363.2018.1438842
- Richardson, H. A., Simmering, M. J., & Sturman, M. C. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762–800. https://doi.org/10.1177/1094428109332834
- Sanchez, L., & Blanco, B. (2014). Three decades of continuous improvement. Total Quality Management & Business Excellence, 25(9-10), 986–1001. https://doi.org/10.1080/14783363.2013.856547
- Schroeder, R. G., Linderman, K. W., Liedtke, C., & Choo, A. S. (2008). Six Sigma: Definition and underlying theory. Journal of Operations Management, 26(4), 536–554. https://doi.org/10.1016/j.jom.2007.06.007
- Shafer, S. M., & Moeller, S. B. (2012). The effects of Six Sigma on corporate performance: An empirical investigation. Journal of Operations Management, 30(7-8), 521–532. https://doi.org/10.1016/j.jom.2012.10.002
- Sousa, R., & Voss, C. A. (2008). Contingency research in operations management practices. Journal of Operations Management, 26(6), 697–713. https://doi.org/10.1016/j.jom.2008.06.001
- Swink, M., & Jacobs, B. W. (2012). Six Sigma adoption: Operating performance impacts and contextual drivers of success. Journal of Operations Management, 30(6), 437–453. https://doi.org/10.1016/j.jom.2012.05.001
- Todnem By, R. (2005). Organizational change management: A critical review. Journal of Change Management, 5(4), 369–380. https://doi.org/10.1080/14697010500359250
- Upton, D. M., & Kim, B. (1998). Alternative methods of learning and process improvement in manufacturing. Journal of Operations Management, 16(1), 1–20. https://doi.org/10.1016/S0272-6963(97)00028-4
- Vashishth, A., Chakraborty, A., & Antony, J. (2019). Lean Six Sigma in financial services industry: A systematic review and agenda for future research. Total Quality Management & Business Excellence, 30(3-4), 447–465. https://doi.org/10.1080/14783363.2017.1308820
- Wilkinson, A., Godfrey, G., & Marchington, M. (1997). Bouquets, brickbats and blinkers: Total quality management and employee involvement in practice. Organization Studies, 18(5), 799–819. https://doi.org/10.1177/017084069701800505
- Zu, X., Fredendall, L. D., & Douglas, T. J. (2008). The evolving theory of quality management: The role of Six Sigma. Journal of Operations Management, 26(5), 630–650. https://doi.org/10.1016/j.jom.2008.02.001