Industry 4.0 adoption key factors: an empirical study on manufacturing industry
Journal of Advances in Management Research
ISSN: 0972-7981
Article publication date: 1 August 2020
Issue publication date: 8 October 2020
Abstract
Purpose
This research aims to outline the key factors responsible for industry 4.0 (I4.0) application in industries and establish a factor stratification model.
Design/methodology/approach
This article identifies the factor pool responsible for I4.0 from the extant literature. It aims to identify the set of key factors for the I4.0 application in the manufacturing industry and validate, classify factor pool using appropriate statistical tools, for example, factor analysis, principal component analysis and item analysis.
Findings
This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries from the factor pool. This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries. Strategy, leadership and culture are found key elements of transformation in the journey of I4.0. Additionally, design and development in the digital twin, virtual testing and simulations were also important factors to consider by manufacturing firms.
Research limitations/implications
The proposed I4.0 factor stratification model will act as a starting point while designing strategy, adopting readiness index for I4.0 and creating a roadmap for I4.0 application in manufacturing. The I4.0 factors identified and validated in this paper will act as a guide for policymakers, researchers, academicians and practitioners working on the implementation of Industry 4.0. This work establishes a solid groundwork for developing an I4.0 maturity model for manufacturing industries.
Originality/value
The existing I4.0 literature is critically examined for creating a factor pool that further presented to experts to ensure sufficient rigor and comprehensiveness, particularly checking the relevance of subfactors for the manufacturing sector. This work is an attempt to identify and validate major I4.0 factors that can impact its mass adoption that is further empirically tested for factor stratification.
Keywords
Acknowledgements
Author want to thank industry and academic persons who was involved in this research directly or indirectly. Their inputs at various stages of this project are well appreciated. Author also want to thank anonymous reviewers for their valuable contributions.
Citation
Narula, S., Prakash, S., Dwivedy, M., Talwar, V. and Tiwari, S.P. (2020), "Industry 4.0 adoption key factors: an empirical study on manufacturing industry", Journal of Advances in Management Research, Vol. 17 No. 5, pp. 697-725. https://doi.org/10.1108/JAMR-03-2020-0039
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited