Purpose: The purpose of this paper is to explore the effects of innovation orientation (IO) on both the implementation levels of soft and hard lean management (LM), as well as innovation performance. It also aims at exploring the effects of soft and hard LM on innovation performance.Design/methodology/approach: The study analyzes survey data collected as a part of a high-performance manufacturing (HPM) project from 238 international manufacturing companies in eight countries and three industries. Exploratory factor analysis and confirmatory factor analysis were applied to assess construct validity. The study hypotheses were tested using structural equation modeling.Findings: The results demonstrated that innovation-oriented companies tend to adopt aspects of both soft and hard LM. However, the results revealed an insignificant effect of soft and hard LM on innovation performance. The study also showed that innovation performance is positively influenced by an IO. These results indicate that having an IO is vital for enhancing both LM as well as innovation performance. They also evidently suggest that LM is more related to continuous improvement (incremental innovation) rather than (radical) innovation and, as such, is not important for firm’s intent on enhancing their innovation performance.Practical implications: The current study demonstrates that IO and LM are complementary and not contradicting strategies. The two strategies share many cultural aspects, similarities and commonalities. However, LM is not sufficient to predict innovation performance. Managers of the surveyed manufacturing firms are advised to focus on IO, as it has beneficial impacts on both LM (continuous improvement initiatives) as well as innovation performance. This clearly indicates that placing the emphasis upon radical (innovative) improvement rather than incremental improvement (LM practices) is believed to support continuous and innovative improvement alike.Originality/value: The relationship between LM and innovation is debated in the existing literature, but the debate is characterized by a lack of empirical evidence. This is one of the first studies that empirically investigates the relationships between IO, LM and innovation performance. It identifies some new insights to direct future research, particularly regarding different innovation types as well as in service organizations.

This study seeks to investigate the relationship between quality management practices and sustainability performance as well as the moderating effects from quality management implementation timeline, type of industry, and firm size on this relationship. Data were collected from enterprises in Vietnam from July 2016 to March 2017. Based on a sample of 144 valid responses, empirical results indicate that quality management practices have mixed impacts on economic performance and environmental performance, while show positive impact on social performance. The results found four quality management practices that have significantly positive impact on sustainability performance: top management support for quality management, design for quality, quality data and reporting, and continuous improvement. These practices could be considered as critical quality management factors that significantly contribute to sustainability goals. Furthermore, the study found significant moderating effects of three contextual factors on the relationship between quality management practices and sustainability performance. The study enriches the literature on quality management and sustainability management, and offers some important insights into efficient allocation of resources to achieve sustainability goals.

This paper presents the results of an empirical study investigating the relationship between Total quality management (TQM) practices, Just-in-time (JIT) production practices, and flexibility performance in manufacturing companies. Correlation and regression analysis are applied to analyze the data collected from 280 manufacturing plants in 12 countries including China, Finland, German, Italy, Israel, Japan, Korea, Spain, Sweden, Taiwan, United Kingdom, and Vietnam from 2013 to 2015 in the framework of a High Performance Manufacturing Project. The analytical results confirm the closed linkage between TQM, JIT production practices and flexibility performance. Moreover, this study indicates that the effect of JIT production practices on flexibility performance can be strengthened with a higher level of TQM practices. The main findings of this study suggest that flexibility performance can be built up by implementing both TQM and JIT production practices, and TQM should be regarded as the platform to maximize the effect of JIT production on flexibility performance.