Journal of Quality Engineering and Management

Abstract Purpose: One of the most important competitive challenges for insurance companies these days is to provide services that can increase productivity with better quality. This research aimed to investigate the impact of productivity quality management indicators and artificial intelligence on increasing the productivity of service production in Pasargad Insurance.
Methodology: The statistical population of the quantitative part of this research includes all personnel working in the central building of Pasargad Insurance. Due to the large size of the statistical population, a classified questionnaire based on the results of the qualitative phase of the research was prepared and distributed among the personnel to increase the generalizability of the results. The sample size of this study was initially estimated to be 1,300 people using the Cochran formula, and after final calculations, the final sample size was determined to be 297 people. Since this research was conducted using a survey method, the data were analyzed using descriptive and inferential statistical methods. Then, in the inferential statistics section, after determining the distribution of variables in the population, more advanced analyses were performed. For this purpose, structural equation modeling was used with Smart PLS software, as well as descriptive statistical tests to examine demographic data and analyze research variables in SPSS software.
Findings: According to the findings of this study, it can be concluded that combining productivity quality management indicators with modern artificial intelligence technologies plays a significant role in improving performance and increasing service productivity in the insurance industry, especially in companies such as Pasargad Insurance.
Originality/Value: Therefore, the productivity quality management model and artificial intelligence on increasing the productivity of service production in Pasargad Insurance presented in this research is a scientific and practical step towards moving the insurance industry towards technological transformation, organizational agility, and long-term competitiveness.