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Purpose This research is an effort to conceptualize the relationship between total quality management (TQM) and knowledge management in a new way. While some researchers considered knowledge management as a facilitator of TQM other scholars concerned TQM as an antecedent for knowledge management. The purpose of this paper is to propose a reciprocal causation between TQM and knowledge management. Design/methodology/approach The main focus of literature review is focusing on common practices of TQM and knowledge management. In the next step, joint variance analysis method is used to reanalyze the results of the empirical studies linking TQM to knowledge management. This approach aims to divide the multiple correlation squared and demonstrate what portion is distinctly connected to predictor variables and what portion is on account of common variance among predictors. Findings The result indicates that nearly half of all explained variances in empirical studies that considered the relationship between TQM and knowledge management disregarding the criteria are accounted for the joint variance of TQM and knowledge management processes. Therefore a reciprocal causation between TQM and knowledge management can be formulated. Originality/value This research is one of the first studies which explores the diverse results of the relationship between TQM and knowledge management from a methodological perspective.

In the present challenging dynamic environment, innovation is considered as a capability that renews the competitive advantage of a company. In recent years, considerable effort has been made to examine the factors that affect innovation in organizations. Knowledge management and total quality management, which play an important role in the contemporary management progress, are among the factors investigated. On the one hand, knowledge management has been recognized as an enabler that can deploy innovation by creating, storing, transferring, and applying knowledge, while on the other hand, the implementation of total quality management practices are addressed as one of the important factors that can influence innovation in a positive way. Lately, although a few researchers have shown some interest in the relationship of total quality management and knowledge management and their have not reached a consensus to conceptualize this relation. Looking at it from the methodological perspective, this problem can be tackled by using the Joint Variance analysis method where it can demonstrate correlation among independent variables and the effect of them on innovation. This study aims to propose a framework that shows how total quality management and knowledge management are reciprocally related to each other and how this affinity can impact innovation.

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