Meta-Analytic of the Relationship between Human Resource Management and Customer Satisfaction in Lean Production Adoption and Implementation Processes

Document Type: Original Research


Department of Computer Engineering, Fars Science and Research Branch, Islamic Azad University, Marvdasht, Iran


The purpose of this paper is to identify efficient factors in the relationship between HRM and customer satisfaction during the process of transition to pure production. Over the past few years, a new stream of strategic management research focused on HRM analysis, and meta-analysis has been done with HRM and customer satisfaction. The calculation of the target model shows that for the effective development of this process, senior management teams need to combine logical and creative skills, such as an aggregate orientation. Finally, a model is presented to understand this sequence, which leads to a cultural change associated with the production of Lean.  


Abdulmalek, F.A., Raj opal, J., Needy, K.L., (2006). A classification scheme for the process industry to guide the implementation of lean. Engineering Management Journal 18 (2), 15-25.
Aguinis, H., Boyd, B., Pierce, C., Short, J., (2011). Walking new avenues in management research methods and theories: bridging micro and macro domains. J. Manage. 37, 395-403.
Aguinis, H., O’Boyle, E., (2014). Star performers in twenty-first-century organizations. Pers. Psychol. (in press).
Badurdeen, F., Wijekoon, K., Marks berry, P., (2011). An analytic hierarchy process-based tool to evaluate value systems for lean transformations. Journal of Manufacturing Technology Manage- meant 22 (1), 46-65.
Baer, M., Dirks, K., Nickerson, J., (2013). Microfoundations of strategic problem formulation. Strategy. Manage. J. 34, 197-214.
Birdi, K., Clegg, C., Patterson, M., Robinson, A., Stride, C.B., Wall, T.D., Wood, S.J., (2008). Impact of human resources and operational management practices on company productivity: Longitudinal study. Personnel Psychology 61 (3), 467-501.
Pil, F.K., MacDuffie, J.P., (1996). The adoption of high-involvement works practices. Industrial Relations 35 (3), 423-455.
Power, D.J., Sohal, A.S., (1997). An examination of the literature relating to issues affecting the human characteristics in just-in-time environments. Technovation 17 (11/12), 649-666.
Power, D.J., Sohal, A.S., (2000). An Empirical Study of Human Resource Management Strategies in Australian just-in-time Environments. International Journal of Operations and Production Management 20 (8), 932-958.
Ritzman, L.P., Safizadeh, M.H., (1999). Linking process choice with plant level decisions about capital and human resources. Production and Operations Management 8 (4), 374-392.
Sawhney, R., Chason, S., (2005). Human Behavioral Heuristic Model for Successful Implementation of Lean Company. Performance Improvement Quarterly 18 (2), 76-96.
Sawhney, R., Subburaman, K., Sonntag, C., Rao, P.R.V., Capizzi, C., (2010). A modified FMEA approach to enhance the reliability of lean systems. International Journal of Quality & Reliability Manage- meant 27 (7), 832-855.
Scherrer-Rathje, M., Boyle, T.A., Deflorin, P., (2009). Lean, take two! Reflections from the second attempt at lean implementation. Business Horizons 52 (1), 79-88.
Worley, J.M., Doolen, T.L., (2006). The role of communication and management support in a lean manufacturing implementation. Management Decision 44 (2), 228-245.
Yin, R.K., (2003). Case Study Research: Design and Methods, 3rd ed. Sage Publications, London.