Industry 4.0 adoption key factors: an empirical study on manufacturing industry

• Published in: Journal of advances in management research Vol. 17; no. 5; pp. 697 - 725
• Main Authors: Narula, Sanjiv, Prakash, Surya, Dwivedy, Maheshwar, Talwar, Vishal, Tiwari, Surendra Prasad
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 09.10.2020; Emerald Group Publishing Limited
• Subjects: Automation; Big Data; Cost reduction; Factories; Industry 4.0; Information technology; Internet; Knowledge management; Leadership; Literature reviews; Manufacturing; Product life cycle; Product lifecycle management; Research methodology; Supply chains; Technology; Wireless networks; Key factors; Cluster analysis; Industry 4.0; Manufacturing industry; Principal component analysis
• ISSN: 0972-7981; 2049-3207
• DOI: 10.1108/JAMR-03-2020-0039

PurposeThis 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/approachThis 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.FindingsThis 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/implicationsThe 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/valueThe 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.