Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

Purpose: The disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building. Design/methodology/approach: The research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach. Findings: The proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality. Research limitations/implications: Implications for future research are provided which would help to further explore the nascent field of Quality 4.0. Practical implications: This research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system. Originality/value: The present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.