Mapping the implications and competencies for Industry 4.0 to hard and soft total quality management
ISSN: 1754-2731
Article publication date: 1 October 2020
Issue publication date: 24 May 2021
Abstract
Purpose
The purpose of this study is to map the implications and competencies for Industry 4.0 to the hard and soft aspects of total quality management (TQM).
Design/methodology/approach
The author/s collected data from purposively drawn samples of early-career engineering professionals (ECEPs) using a cross-sectional survey. A total of 20 ECEPs from three small-class cohorts (2014, 2016 and 2018) participated in the survey. The author/s analyzed data using the Kruskal–Wallis test and Wilcoxon–Mann–Whitney test to establish the effect of cohort and gender on the implications and competencies for Industry 4.0. The author/s then mapped the top- and bottom-ranked implications and competencies onto the hard and soft aspects of TQM using a matrix.
Findings
Based on the cohort, significant differences p < 0.05 existed in the interests and competencies for Industry 4.0. In congruence, the 2014 cohort had the highest number of “unique” top- and bottom-ranked competencies and implications spanning the hard and soft TQM. Based on gender, nonsignificant differences p < 0.05 existed in the interests and competencies for Industry 4.0. The male and female ECEPs' “common” top-ranked implications appeared under the hard and soft TQM. All their “common” top-ranked competencies appeared under the hard TQM, while all their “common” bottom-ranked competencies appeared under the soft TQM.
Research limitations/implications
The sample size, context/discipline and perceptual data are limitations.
Practical implications
Optimizing an existing TQM framework/matrix to design Industry 4.0 TQM, advanced as TQM 4.0.
Originality/value
Perspectives of early-career professionals for TQM 4.0 implementation.
Keywords
Citation
Babatunde, O.K. (2021), "Mapping the implications and competencies for Industry 4.0 to hard and soft total quality management", The TQM Journal, Vol. 33 No. 4, pp. 896-914. https://doi.org/10.1108/TQM-07-2020-0158
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited