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The purpose of this research is to analyze the reciprocal relation between total quality management (TQM) and innovation (product innovation and process innovation) and their impact on operational and financial performance.

The data were obtained from a survey of 205 manufacturing companies. Structural equation modeling (SEM) was performed to evaluate the research model.

The results reveal that there is a reciprocal relationship between TQM and innovation. Moreover, the findings indicate a significant positive effect of product innovation and process innovation on operational performance and insignificant direct impact of TQM on operational performance. However, this effect is significant when it is mediated through product innovation and process innovation.

This paper helps practitioners to understand how TQM practices support both product and process innovation and the role of the latter in promoting the implementation of TQM practices and ensuring operational performance.

This study presents an innovative approach since it is among the first research studies that provide empirical evidence to a reciprocal association between TQM and innovation. Additionally, this paper examines the dimensions studied in different aspects. It considered financial performance and operational performance, and with respect to innovation, this dimension was analyzed through two different perspectives, namely product innovation and process innovation. This study is also among the first and few research studies that have studied the mediating effect of innovation.

This empirical study aims to explore the link between lean manufacturing practices (total quality management, just-in-time production, just-in-time purchasing, total productive/preventive maintenance), agile manufacturing, and operational and financial performance.

Data were collected from 205 Tunisian manufacturing firms, and the results were analyzed using structural equation modeling.

The results indicate that (1) lean manufacturing practices have a direct positive relationship with agile manufacturing except for just-in-time production, (2) agile manufacturing has a positive impact on operational performance and (3) lean manufacturing practices did not seem to contribute directly to operational performance. However, this relationship is significant when it is mediated through agile manufacturing.

This paper shows practitioners the importance of lean manufacturing practices to support agile manufacturing and the key role of agile manufacturing to ensure operational performance.

This paper presents an innovative approach since it studies simultaneously the three dimensions of lean manufacturing and their relationship with agile manufacturing and organizational performance.

This empirical study aims to explore the relationship between Total quality management (TQM), Total productive/preventive maintenance (TPM) and Just-in time (JIT). It also seeks to examine the relationship between Just-in time (JIT) and agile manufacturing.

Data for the study were collected from a survey of 205 industrial companies and the relationships proposed in the framework were tested using structural equation modeling.

The results indicate that (1) TPM has a positive impact on TQM and JIT, (2) TQM has a positive effect on JIT and (3) JIT has a direct positive relationship with agile manufacturing. In addition, the results reveal an indirect effect of TPM and TQM on agile manufacturing through JIT.

The conceptual model proposed and tested in this study can be used by researchers for developing Lean manufacturing practices (TQM, TPM and JIT) and agile manufacturing theory. In addition, this model shows to practitioners the importance of integrating TQM, TPM and JIT in manufacturing firms. In other words, this study shows practitioners how firms can support their agile manufacturing system.

This research presents an innovative approach since it examines simultaneously the interdependencies between TQM, TPM and JIT and their direct and indirect link with agile manufacturing using structural equation modeling.