Soft and Hard Total Quality Management Practices Promote Industry 4.0 Readiness: A SEM-Neural Network Approach

Kashif Ali · Satirenjit Kaur Johl · Amgad Muneer · Ayed Said Alwadain · Rao Faizan Ali

62 citations0/0 files storedSustainability

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Quality and Supply Management Quality and Management Systems Digital Transformation in Industry

Abstract

Industry 4.0 (I4.0) is a technological development in the manufacturing industry that has revolutionized Total Quality Management (TQM) practices. There has been scant empirical research on the multidimensional perspective of TQM. Thus, this study aims to empirically examine the effect of the multidimensional view of TQM (soft and hard) on I4.0 readiness in small and medium-sized (SMEs) manufacturing firms. Based on the sociotechnical systems (STS) theory, a framework has been developed and validated empirically through an online survey of 209 Malaysian SMEs manufacturing firms. Unlike the existing TQM studies that used structural equation modeling (SEM), a two-stage analysis was performed in this study. First, the SEM approach was used to determine which variable significantly affects I4.0 readiness. Second, the artificial neural network (ANN) technique was adopted to rank the relative influence of significant predictors obtained from SEM. The results show that the soft and hard TQM practices have supported the I4.0 readiness. Moreover, the results highlight that hard TQM practices have mediating role between soft TQM practices and I4.0 readiness. The ANN results affirmed that customer focus is considered an important TQM factor for I4.0 managerial readiness, advanced manufacturing technology for operational readiness and top management commitment for technology readiness. In a nutshell, the SEM-ANN approach uniquely contributes to the TQM and I4.0 literature. Finally, the findings can help managers to prioritize firms’ soft and hard quality practices that promote I4.0 implementation, especially in emerging economies.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 62 citations exist upstream.

References

2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2017An updated and expanded assessment of PLS-SEM in information systems research 2012Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations 1951Some Social and Psychological Consequences of the Longwall Method of Coal-Getting 2016Testing measurement invariance of composites using partial least squares 2019Rethinking some of the rethinking of partial least squares 1995The Impact of Quality Management Practices on Performance and Competitive Advantage

Cited by

2022A model of extended technology acceptance for behavioral intention toward EVs with gender as a moderator 2023Effects of Total Quality Management Practices on Financial and Operational Performance of Hospitals 2024Green servitization, circular economy, and sustainability a winning combination analysis through hybrid SEM‐ANN approach 2022Entrepreneurial Orientation and Open Innovation Promote the Performance of Services SMEs: The Mediating Role of Cost Leadership

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.