Evaluation of Barriers to Applying Quality 4.0 in Shahr-e Ketab Institute Using Bayesian Best-Worst Method

Quality 4.0 is an emerging research topic and refers to how to adopt quality management in the fourth industrial revolution era, which today's organizations can use as a strategy for competition and progress in the market. This research aims to investigate the barriers to applying Quality 4.0. Therefore, in the first step, the obstacles to applying Quality 4.0 were identified by reviewing the literature. In the second step, identifying barriers is localized using Fuzzy Delphi Method (FDM). The approved barriers are prioritized in the last effort using the Bayesian best-worst method (BWM). The case study of this research is Shahr-e Ketab Institute, and the expert panel included eight senior managers of this organization. Using the literature, 23 barriers to applying Quality 4.0 are identified. According to the results of FDM, seven barriers were confirmed. Based on the results of the Bayesian BWM, the cost of deploying Quality 4.0 infrastructures is recognized as a more critical barrier. Lack of trained and qualified human resources and digital integration are ranked second and third, respectively. The results of this research are of particular importance because it plays a significant role in helping stakeholders understand the barriers to implementing Quality 4.0.