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

质量(理念) 验证性因素分析 计算机科学 可靠性(半导体) 独创性 管理科学 功能(生物学) 过程(计算) 度量(数据仓库) 领域(数学) 风险分析(工程) 过程管理 数据科学 知识管理 工程类 结构方程建模 业务 数据挖掘 数学 定性研究 社会学 哲学 社会科学 纯数学 功率(物理) 物理 机器学习 操作系统 认识论 量子力学 生物 进化生物学
作者
G.S. Sureshchandar
出处
期刊:International Journal of Quality & Reliability Management [Emerald Publishing Limited]
卷期号:40 (1): 280-303 被引量:43
标识
DOI:10.1108/ijqrm-06-2021-0172
摘要

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.
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