Employee involvement for continuous improvement and production repetitiveness: a contingency perspective for achieving organisational outcomes

References

• Abdallah, A. B., S. E. Dahiyat, and Y. Matsui. 2019. “Lean Management and Innovation Performance: Evidence from International Manufacturing Companies.” Management Research Review 42 (2): 239–262.
   Web of Science ®Google Scholar
• Adler, P. S., M. Benner, D. J. Brunner, J. P. MacDuffie, E. Osono, B. R. Staats, H. Takeuchi, M. L. Tushman, and S. G. Winter. 2009. “Perspectives on the Productivity Dilemma.” Journal of Operations Management 27 (2): 99–113.
   Web of Science ®Google Scholar
• Adler, P. S., and R. E. Cole. 1993. “Designed for Learning: A Tale of Two Auto Plants.” Sloan Management Review 34 (3): 85–95.
   Google Scholar
• Ahmad, S., and R. G. Schroeder. 2003. “The Impact of Human Resource Management Practices on Operational Performance: Recognizing Country and Industry Differences.” Journal of Operations Management 21 (1): 19–43.
   Web of Science ®Google Scholar
• Anand, G., P. T. Ward, M. V. Tatikonda, and D. A. Schilling. 2009. “Dynamic Capabilities through Continuous Improvement Infrastructure.” Journal of Operations Management 27 (6): 444–461.
   Web of Science ®Google Scholar
• Bagozzi, R. P., and Y. Yi. 1988. “On the Evaluation of Structural Equation Models.” Journal of the Academy of Marketing Science 16 (1): 74–94.
   Google Scholar
• Bagozzi, R. P., Y. Yi, and L. W. Phillips. 1991. “Assessing Construct Validity in Organizational Research.” Administrative Science Quarterly 36 (3): 421–458. doi:https://doi.org/10.2307/2393203.
   Web of Science ®Google Scholar
• Bayo-Moriones, A., and J. M. D. De Cerio. 2002. “Human Resource Management, Strategy and Operational Performance in the Spanish Manufacturing Industry.” Management 5 (3): 175–199.
   Google Scholar
• Becker, B. E., and M. A. Huselid. 2006. “Strategic Human Resources Management: Where Do We Go from Here?” Journal of Management 32 (6): 898–925.
   Web of Science ®Google Scholar
• Bhuiyan, N., and A. Baghel. 2005. “An Overview of Continuous Improvement: From the Past to the Present.” Management Decision 43 (5): 761–771.
   Google Scholar
• Birkie, S. E., P. Trucco, and M. Kaulio. 2017. “Sustaining Performance under Operational Turbulence: The Role of Lean in Engineer-to-Order Operations.” International Journal of Lean Six Sigma 8 (4): 457–481.
   Web of Science ®Google Scholar
• Bortolotti, T., S. Boscari, and P. Danese. 2015. “Successful Lean Implementation: Organizational Culture and Soft Lean Practices.” International Journal of Production Economics 160: 182–201.
   Web of Science ®Google Scholar
• Bortolotti, T., S. Boscari, P. Danese, H. A. Medina Suni, N. Rich, and P. Romano. 2018. “The Social Benefits of Kaizen Initiatives in Healthcare: An Empirical Study.” International Journal of Operations & Production Management 38 (2): 554–578.
   Web of Science ®Google Scholar
• Bortolotti, T., P. Danese, B. B. Flynn, and P. Romano. 2015. “Leveraging Fitness and Lean Bundles to Build the Cumulative Performance Sand Cone Model.” International Journal of Production Economics 162: 227–241.
   Web of Science ®Google Scholar
• Bortolotti, T., P. Danese, and P. Romano. 2013. “Assessing the Impact of Just-in-Time on Operational Performance at Varying Degrees of Repetitiveness.” International Journal of Production Research 51 (4): 1117–1130.
   Web of Science ®Google Scholar
• Boselie, P., G. Dietz, and C. Boon. 2005. “Commonalities and Contradictions in HRM and Performance Research.” Human Resource Management Journal 15 (3): 67–94.
   Google Scholar
• Boxall, P. 2012. “High‐Performance Work Systems: What, Why, How and for Whom?” Asia Pacific Journal of Human Resources 50 (2): 169–186. doi:https://doi.org/10.1111/j.1744-7941.2011.00012.x.
   Web of Science ®Google Scholar
• Boyer, K. K., and R. Verma. 2000. “Multiple Raters in Survey‐Based Operations Management Research: A Review and Tutorial.” Production and Operations Management 9 (2): 128–140. doi:https://doi.org/10.1111/j.1937-5956.2000.tb00329.x.
   Web of Science ®Google Scholar
• Chi Anh, P., and Y. Matsui. 2011. “Relationship between Quality Management Information and Operational Performance.” Management Research Review 34 (5): 519–540.
   Google Scholar
• Chi, N., and C. Y. Lin. 2011. “Beyond the High‐Performance Paradigm: Exploring the Curvilinear Relationship between High‐Performance Work Systems and Organizational Performance in Taiwanese Manufacturing Firms.” British Journal of Industrial Relations 49 (3): 486–514.
   Web of Science ®Google Scholar
• Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Cua, K. O., K. E. McKone, and R. G. Schroeder. 2001. “Relationships between Implementation of TQM, JIT, and TPM and Manufacturing Performance.” Journal of Operations Management 19 (6): 675–694.
   Web of Science ®Google Scholar
• Danese, P., and T. Bortolotti. 2014. “Supply Chain Integration Patterns and Operational Performance: A Plant-Level Survey-Based Analysis.” International Journal of Production Research 52 (23): 7062–7083.
   Web of Science ®Google Scholar
• Danese, P., A. Lion, and A. Vinelli. 2019. “Drivers and Enablers of Supplier Sustainability Practices: A Survey-Based Analysis.” International Journal of Production Research 57 (7): 2034–2056. doi:https://doi.org/10.1080/00207543.2018.1519265.
   Web of Science ®Google Scholar
• Danese, P., P. Romano, and S. Boscari. 2017. “The Transfer Process of Lean Practices in Multi-Plant Companies.” International Journal of Operations & Production Management 37 (4): 468–488.
   Web of Science ®Google Scholar
• Delery, J. E. 1998. “Issues of Fit in Strategic Human Resource Management: Implications for Research.” Human Resource Management Review 8 (3): 289–309.
   Web of Science ®Google Scholar
• Deshpande, S. P., and D. Y. Golhar. 1997. “HRM Practices of Canadian and US Manufacturing Firms: An Empirical Investigation.” Production Planning & Control 8 (3): 208–212.
   Web of Science ®Google Scholar
• Dow, D., D. Samson, and S. Ford. 2009. “Exploding the Myth: Do All Quality Management Practices Contribute to Superior Quality Performance?” Production and Operations Management 8 (1): 1–27. doi:https://doi.org/10.1111/j.1937-5956.1999.tb00058.x.
   Google Scholar
• Dubey, R., and A. Gunasekaran. 2015. “Exploring Soft TQM Dimensions and Their Impact on Firm Performance: Some Exploratory Empirical Results.” International Journal of Production Research 53 (2): 371–382.
   Web of Science ®Google Scholar
• Farndale, E., and J. Paauwe. 2018. “SHRM and Context: Why Firms Want to Be as Different as Legitimately Possible.” Journal of Organizational Effectiveness: People and Performance 5 (3): 202–210.
   Google Scholar
• Farris, J. A., E. M. Van Aken, T. L. Doolen, and J. Worley. 2009. “Critical Success Factors for Human Resource Outcomes in Kaizen Events: An Empirical Study.” International Journal of Production Economics 117 (1): 42–65.
   Web of Science ®Google Scholar
• Flynn, B. B., and E. J. Flynn. 2004. “An Exploratory Study of the Nature of Cumulative Capabilities.” Journal of Operations Management 22 (5): 439–457.
   Web of Science ®Google Scholar
• Flynn, B. B., S. Sakakibara, R. G. Schroeder, K. A. Bates, and E. J. Flynn. 1990. “Empirical Research Methods in Operations Management.” Journal of Operations Management 9 (2): 250–284.
   Google Scholar
• Flynn, B. B., R. G. Schroeder, and S. Sakakibara. 1994. “A Framework for Quality Management Research and an Associated Measurement Instrument.” Journal of Operations Management 11 (4): 339–366.
   Google Scholar
• Flynn, B. B., R. G. Schroeder, and S. Sakakibara. 1995. “The Impact of Quality Management Practices on Performance and Competitive Advantage.” Decision Sciences 26 (5): 659–691.
   Web of Science ®Google Scholar
• Forza, C., and R. Filippini. 1998. “TQM Impact on Quality Conformance and Customer Satisfaction: A Causal Model.” International Journal of Production Economics 55 (1): 1–20.
   Web of Science ®Google Scholar
• Fotopoulos, C. B., and E. L. Psomas. 2009. “The Impact of ‘Soft’ and ‘Hard’ TQM Elements on Quality Management Results.” International Journal of Quality & Reliability Management 26 (2): 150–163.
   Google Scholar
• Guest, D. E. 2011. “Human Resource Management and Performance: Still Searching for Some Answers.” Human Resource Management Journal 21 (1): 3–13.
   Web of Science ®Google Scholar
• Hanna, M. D., W. R. Newman, and P. Johnson. 2000. “Linking Operational and Environmental Improvement through Employee Involvement.” International Journal of Operations & Production Management 20 (2): 148–165.
   Web of Science ®Google Scholar
• Hayes, A. F. 2017. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York: Guilford Publications.
   Google Scholar
• Hayes, R. H., and S. C. Wheelwright. 1979. “Link Manufacturing Process and Product Life Cycles.” Harvard Business Review 57 (1): 133–140.
   PubMed Web of Science ®Google Scholar
• Heffernan, M., Patrick C. Flood, and Wenchuan Liu. 2010. “High Performance Work Systems: International Evidence of the Impact on Firms and Employees.” In International Human Resource Management, A. W. Harzing and A. H. Pinnington, 3rd ed., 291–342. London: Sage.
   Google Scholar
• Holweg, M. 2007. “The Genealogy of Lean Production.” Journal of Operations Management 25 (2): 420–437.
   Web of Science ®Google Scholar
• Huang, X., M. M. Kristal, and R. G. Schroeder. 2008. “Linking Learning and Effective Process Implementation to Mass Customization Capability.” Journal of Operations Management 26 (6): 714–729.
   Web of Science ®Google Scholar
• Huang, X., J. C. Rode, and R. G. Schroeder. 2011. “Organizational Structure and Continuous Improvement and Learning: Moderating Effects of Cultural Endorsement of Participative Leadership.” Journal of International Business Studies 42 (9): 1103–1120.
   Web of Science ®Google Scholar
• Huselid, M. A. 1995. “The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance.” Academy of Management Journal 38 (3): 635–672.
   Web of Science ®Google Scholar
• Jaccard, J., C. K. Wan, and R. Turrisi. 1990. “The Detection and Interpretation of Interaction Effects between Continuous Variables in Multiple Regression.” Multivariate Behavioral Research 25 (4): 467–478. doi:https://doi.org/10.1207/s15327906mbr2504_4.
   PubMed Web of Science ®Google Scholar
• Jiang, K., D. P. Lepak, J. Hu, and J. C. Baer. 2012. “How Does Human Resource Management Influence Organizational Outcomes? a Meta-Analytic Investigation of Mediating Mechanisms.” Academy of Management Journal 55 (6): 1264–1294.
   Web of Science ®Google Scholar
• Koch, M. J., and R. G. McGrath. 1996. “Improving Labor Productivity: Human Resource Management Policies Do Matter.” Strategic Management Journal 17 (5): 335–354.
   Web of Science ®Google Scholar
• Kumar, V., F. Choisne, D. De Grosbois, and U. Kumar. 2009. “Impact of TQM on Company’s Performance.” International Journal of Quality & Reliability Management 26 (1): 23–37.
   Google Scholar
• Lander, E., and J. K. Liker. 2007. “The Toyota Production System and Art: Making Highly Customized and Creative Products the Toyota Way.” International Journal of Production Research 45 (16): 3681–3698.
   Web of Science ®Google Scholar
• Larco, J. L., E. Bortolan, and M. H. Studley. 2008. Lean Manufacturing in Build to Order: Complex and Variable Environments. Richmond, Virginia: The Oakley Press.
   Google Scholar
• Leffakis, Z. M., and D. J. Dwyer. 2014. “The Effects of Human Resource Systems on Operational Performance in Mass Customisation Manufacturing Environments.” Production Planning and Control 25 (15): 1213–1230.
   Web of Science ®Google Scholar
• Little, T. D., W. A. Cunningham, G. Shahar, and K. F. Widaman. 2002. “To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits.” Structural Equation Modeling 9 (2): 151–173.
   Web of Science ®Google Scholar
• Liu, G. J., K. McKone-Sweet, and R. Shah. 2009. “Assessing the Performance Impact of Supply Chain Planning in Net-Enhanced Organizations.” Operations Management Research 2 (1–4): 33–43.
   Google Scholar
• Liu, G. J., R. Shah, and R. G. Schroeder. 2006. “Linking Work Design to Mass Customization: A Sociotechnical Systems Perspective.” Decision Sciences 37 (4): 519–545.
   Web of Science ®Google Scholar
• Lyons, A. C., K. Vidamour, R. Jain, and M. Sutherland. 2013. “Developing an Understanding of Lean Thinking in Process Industries.” Production Planning & Control 24 (6): 475–494.
   Web of Science ®Google Scholar
• Ma, Tian, Shanshan Zhu, Zhiheng Wang, Dima Chen, Guohua Dai, Bowei Feng, Xiangyan Su, et al. 2018. “Divergent Accumulation of Microbial Necromass and Plant Lignin Components in Grassland Soils.” Nature Communications 9 (1): 3480. doi:https://doi.org/10.1038/s41467-018-05891-1.
   PubMedGoogle Scholar
• MacCallum, R. C., M. W. Browne, and H. M. Sugawara. 1996. “Power Analysis and Determination of Sample Size for Covariance Structure Modeling.” Psychological Methods 1 (2): 130–149.
   Web of Science ®Google Scholar
• MacDuffie, J. P. 1995. “Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry.” Industrial & Labor Relations Review 48 (2): 197–221.
   Web of Science ®Google Scholar
• Marchington, M.,. J. Goodman, A. Wilkinson, and P. Ackers. 1992. “New Developments in Employee Involvement.” Employment Department Research Paper No 2.
   Google Scholar
• Maritan, C. A., and T. H. Brush. 2003. “Heterogeneity and Transferring Practices: Implementing Flow Manufacturing in Multiple Plants.” Strategic Management Journal 24 (10): 945–959.
   Web of Science ®Google Scholar
• Martin-Alcazar, F., P. M. Romero-Fernandez, and G. Sánchez-Gardey. 2005. “Strategic Human Resource Management: Integrating the Universalistic, Contingent, Configurational and Contextual Perspectives.” The International Journal of Human Resource Management 16 (5): 633–659.
   Web of Science ®Google Scholar
• Matt, D. T., and E. Rauch. 2014. “Implementing Lean in Engineer-to-Order Manufacturing: Experiences from a ETO Manufacturer.” In Handbook of Research on Design and Management of Lean Production Systems, edited by V. Modrák and P. Semančo, 148–172. Hershey: IGI Global.
   Google Scholar
• McKone-Sweet, K., and Y. T. Lee. 2009. “Development and Analysis of a Supply Chain Strategy Taxonomy.” Journal of Supply Chain Management 45 (3): 3–24.
   Web of Science ®Google Scholar
• Mellat-Parast, M.,. S. G. Adams, and E. C. Jones. 2007. “An Empirical Study of Quality Management Practices in the Petroleum Industry.” Production Planning and Control 18 (8): 693–702.
   Web of Science ®Google Scholar
• Nasser-Abu Alhija, F., and J. Wisenbaker. 2006. “A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA.” Structural Equation Modeling 13 (2): 204–228.
   Web of Science ®Google Scholar
• Oberski, D. 2014. “Lavaan. Survey: An R Package for Complex Survey Analysis of Structural Equation Models.” Journal of Statistical Software 57 (1): 1–27. doi:https://doi.org/10.18637/jss.v057.i01.
   PubMed Web of Science ®Google Scholar
• Ohly, S., and C. Fritz. 2010. “Work Characteristics, Challenge Appraisal, Creativity, and Proactive Behavior: A Multi-Level Study.” Journal of Organizational Behavior 31 (4): 543–565.
   Web of Science ®Google Scholar
• Ohno, T. 1988. Toyota Production System: Beyond Large-Scale Production. Portland: Productivity Press.
   Google Scholar
• Ooi, K.-B., V.-H. Lee, A. Y.-L. Chong, and B. Lin. 2013. “Does TQM Improve Employees’ Quality of Work Life? Empirical Evidence from Malaysia’s Manufacturing Firms.” Production Planning and Control 24 (1): 72–89.
   Web of Science ®Google Scholar
• Pfeffer, Jeffrey. 1995. “Producing Sustainable Competitive Advantage through the Effective Management of People.” Academy of Management Perspectives 9 (1): 55–72.
   Google Scholar
• Ping, R. A. 1995. “A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables.” Journal of Marketing Research 32 (3): 336–347. doi:https://doi.org/10.1177/002224379503200308.
   Web of Science ®Google Scholar
• Ping, R. A. 2009. “Estimating endogenous interaction.” Available at http://www.wright.edu/∼robert.ping/endog_ints2a.doc
   Google Scholar
• Posthuma, R. A., M. C. Campion, M. Masimova, and M. A. Campion. 2013. “A High Performance Work Practices Taxonomy: Integrating the Literature and Directing Future Research.” Journal of Management 39 (5): 1184–1220.
   Web of Science ®Google Scholar
• Powell, T. C. 1995. “Total Quality Management as Competitive Advantage: A Review and Empirical Study.” Strategic Management Journal 16 (1): 15–37.
   Web of Science ®Google Scholar
• Prajogo, D. I., and B. K. Cooper. 2010. “The Effect of People-Related TQM Practices on Job Satisfaction: A Hierarchical Model.” Production Planning and Control 21 (1): 26–35.
   Web of Science ®Google Scholar
• Rahman, S. U., and P. Bullock. 2005. “Soft TQM, Hard TQM, and Organisational Performance Relationships: An Empirical Investigation.” Omega 33 (1): 73–83.
   Web of Science ®Google Scholar
• Richard, O. C., and N. B. Johnson. 2001. “Strategic Human Resource Management Effectiveness and Firm Performance.” International Journal of Human Resource Management 12 (2): 299–310.
   Web of Science ®Google Scholar
• Sandrin, E., A. Trentin, and C. Forza. 2018. “Leveraging High-Involvement Practices to Develop Mass Customization Capability: A Contingent Configurational Perspective.” International Journal of Production Economics 196: 335–345.
   Web of Science ®Google Scholar
• Satorra, A. 2000. “Scaled and Adjusted Restricted Tests in Multi-Sample Analysis of Moment Structures.” In Innovations in Multivariate Statistical Analysis, edited by R. D. H. Heijmans, D. S. G. Pollock, and A. Satorra, 233–247. Dordrecht: Kluwer Acad. Publ.
   Google Scholar
• Satorra, A., and P. M. Bentler. 1994. “Corrections to Test Statistics and Standard Errors in Covariance Structure Analysis.” In Latent Variables Analysis: Applications for Developmental Research, edited by A. von Eye and C. C. Clogg, 399–419. Thousand Oaks, CA: Sage.
   Google Scholar
• Schonberger, R. 1982. Japanese Manufacturing Techniques: Nine Hidden Lessons in Simplicity. New York: The Free Press.
   Google Scholar
• Schroeder, R. G., and B. B. Flynn. 2002. High Performance Manufacturing: Global Perspectives. New York: John Wiley & Sons.
   Google Scholar
• Shah, R., and P. T. Ward. 2003. “Lean Manufacturing: Context, Practice Bundles, and Performance.” Journal of Operations Management 21 (2): 129–149.
   Web of Science ®Google Scholar
• Sila, I. 2007. “Examining the Effects of Contextual Factors on TQM and Performance through the Lens of Organizational Theories: An Empirical Study.” Journal of Operations Management 25 (1): 83–109.
   Web of Science ®Google Scholar
• Sitkin, S. B., K. M. Sutcliffe, and R. G. Schroeder. 1994. “Distinguishing Control from Learning in Total Quality Management: A Contingency Perspective.” Academy of Management Review 19 (3): 537–564.
   Web of Science ®Google Scholar
• Slomp, J., J. A. C. Bokhorst, and R. Germs. 2009. “A Lean Production Control System for High-Variety/Low-Volume Environments: A Case Study Implementation.” Production Planning and Control 20 (7): 586–595.
   Web of Science ®Google Scholar
• Sobel, M. E. 1982. “Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models.” Sociological Methodology 13: 290–312.
   Google Scholar
• Stanko, M. A., F. Molina‐Castillo, and N. Harmancioglu. 2015. “It Won’t Fit! for Innovative Products, Sometimes That’s for the Best.” Journal of Product Innovation Management 32 (1): 122–137. doi:https://doi.org/10.1111/jpim.12238.
   Web of Science ®Google Scholar
• Stavrou, E. T., C. Brewster, and C. Charalambous. 2010. “Human Resource Management and Firm Performance in Europe through the Lens of Business Systems: Best Fit, Best Practice or Both?” The International Journal of Human Resource Management 21 (7): 933–962. doi:https://doi.org/10.1080/09585191003783371.
   Web of Science ®Google Scholar
• Sugimori, Y., K. Kusunoki, F. Cho, and S. Uchikawa. 1977. “Toyota Production System and Kanban System Materialization of Just-in-Time and Respect-for-Human System.” The International Journal of Production Research 15 (6): 553–564.
   Web of Science ®Google Scholar
• Takeuchi, N. 2009. “How Japanese Manufacturing Firms Align Their Human Resource Policies with Business Strategies: Testing a Contingency Performance Prediction in a Japanese Context.” International Journal of Human Resource Management 20 (1): 34–56.
   Web of Science ®Google Scholar
• Takeuchi, R., D. P. Lepak, H. Wang, and K. Takeuchi. 2007. “An Empirical Examination of the Mechanisms Mediating between High-Performance Work Systems and the Performance of Japanese Organizations.” Journal of Applied Psychology 92 (4): 1069–1083. doi:https://doi.org/10.1037/0021-9010.92.4.1069.
   PubMed Web of Science ®Google Scholar
• Tortorella, G., R. Miorando, R. Caiado, D. Nascimento, and A. Portioli Staudacher. 2018. “The Mediating Effect of Employees’ Involvement on the Relationship between Industry 4.0 and Operational Performance Improvement.” Total Quality Management & Business Excellence : 1–15. doi:https://doi.org/10.1080/14783363.2018.1532789.
   Web of Science ®Google Scholar
• Urtasun-Alonso, A.,. M. Larraza-Kintana, C. García-Olaverri, and E. Huerta-Arribas. 2014. “Manufacturing Flexibility and Advanced Human Resource Management Practices.” Production Planning & Control 25 (4): 303–317.
   Web of Science ®Google Scholar
• Van Aken, E. M., J. A. Farris, W. J. Glover, and G. Letens. 2010. “A Framework for Designing, Managing, and Improving Kaizen Event Programs.” International Journal of Productivity and Performance Management 59 (7): 641–667.
   Google Scholar
• Van De Voorde, K., J. Paauwe, and M. Van Veldhoven. 2012. “Employee Well-Being and the HRM-Organizational Performance Relationship: A Review of Quantitative Studies.” International Journal of Management Reviews 14 (4): 391–407.
   Web of Science ®Google Scholar
• Venkatraman, N. 1989. “The Concept of Fit in Strategy Research: Toward Verbal and Statistical Correspondence.” Academy of Management Review 14 (3): 423–444.
   Web of Science ®Google Scholar
• Wall, T. D., and S. J. Wood. 2005. “The Romance of Human Resource Management and Business Performance, and the Case for Big Science.” Human Relations 58 (4): 429–462.
   Web of Science ®Google Scholar
• White, R. E., and V. Prybutok. 2001. “The Relationship between JIT Practices and Type of Production System.” Omega 29 (2): 113–124.
   Web of Science ®Google Scholar
• Wilkinson, A., and C. Fay. 2011. “New Times for Employee Voice?” Human Resource Management 50 (1): 65–74.
   Web of Science ®Google Scholar
• Wilkinson, A., G. Godfrey, and M. Marchington. 1997. “Bouquets, Brickbats and Blinkers: Total Quality Management and Employee Involvement in Practice.” Organization Studies 18 (5): 799–819.
   Web of Science ®Google Scholar
• Womack, J. P. 1996. “The Psychology of Lean Production.” Applied Psychology 45 (2): 119–122.
   Web of Science ®Google Scholar
• Womack, J. P., D. T. Jones, and D. Roos. 1990. The Machine That Changed the World. New York: Rawson Associates.
   Google Scholar
• Wood, S. 1999. “Human Resource Management and Performance.” International Journal of Management Reviews 1 (4): 367–413.
   Google Scholar
• Wood, S., and L. De Menezes. 1998. “High Commitment Management in the U.K.: Evidence from the Workplace Industrial Relations Survey, and Employers’ Manpower and Skills Practices Survey.” Human Relations 51 (4): 485–515.
   Web of Science ®Google Scholar
• Youndt, M. A., S. A. Snell, J. W. Dean, Jr., and D. P. Lepak. 1996. “Human Resource Management, Manufacturing Strategy, and Firm Performance.” Academy of Management Journal 39 (4): 836–866.
   Web of Science ®Google Scholar
• Zeng, J., C. Anh Phan, and Y. Matsui. 2015. “The Impact of Hard and Soft Quality Management on Quality and Innovation Performance: An Empirical Study.” International Journal of Production Economics 162: 216–226.
   Web of Science ®Google Scholar
• Zhang, M., X. Zhao, and Y. Qi. 2014. “The Effects of Organizational Flatness, Coordination, and Product Modularity on Mass Customization Capability.” International Journal of Production Economics 158: 145–155.
   Web of Science ®Google Scholar