PurposeThe purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques.Design/methodology/approachBased on a review of relevant literature, the authors recognized four criteria and 16 critical factors that have been validated by academic and industry experts. AHP and ANP models are then developed to evaluate the requirements and essential elements of the Industry 4.0 implementation. The outcomes were validated with the aid of sensitivity analysis.FindingsThe above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding the status of Industry 4.0 implementation. The two methods yielded almost identical outcomes. Both methods take into account the industry's specific needs based on their available capacity.Practical implicationsDecision-makers and specialists will use the strategies discussed in this paper to effectively include the implementation status of Industry 4.0 in their industries, based on their ability to make arrangements for proper implementation of Industry 4.0 and to concentrate on top priority factors when implementing Industry 4.0 at their workplace.Originality/valueThe contribution of this research is that it is the first to be carried out with a view to both AHP and ANP to analyze important factors regarding the implementation status of Industry 4.0 and authentication through sensitivity analysis methods; this is a recent initiative in Industry 4.0.

PurposeIndustry 4.0 is regarded as a modern industrial phase wherein convergence between horizontal and vertical production systems, along with their interactions, would enable industries to obtain excellent industrial efficiency. This research thus explores the barriers relevant to Industry 4.0 and their cause and effect relations using the decision-making trial and evaluation laboratory (DEMATEL) technique, and this will assist in the implementation of Industry 4.0 in manufacturing industries.Design/methodology/approachA comprehensive literature review is carried out to outline the barriers for the Industry 4.0 implementation. The investigative techniques used in this research were conducted utilizing a questionnaire as an instrument for collecting data. The data collected were analysed using the method DEMATEL.FindingsThe findings indicate that key barriers to implementing Industry 4.0 include their cause and effect relationships. Reported “implementation costs” have been a critical barrier for Industry 4.0 implementation. Prioritization of barriers and their cause and effect relationships was achieved so that decision-makers could concentrate on overcoming such barriers for Industry 4.0 implementation.Practical implicationsThe research is intended to assist executives in recognizing the barriers to Industry 4.0 implementation in their manufacturing industries. Furthermore, the strong functional and empirical importance of emerging and digital manufacturing technologies ensures that understanding the necessary barriers to implementation is important.Originality/valueThis is one of the first few empirical studies in the field of Indian manufacturing industries that uses the DEMATEL method framework as a foundation for recognizing cause-effect interactions among the barriers that affect Industry 4.0.

Purpose Industry 4.0 implementation appears to have a far-reaching effect on consumer demand. Research findings on market prospects and implementation status are also rare. The purpose of this study is to address the essential factors regarding the implementation status of the Indian manufacturing industries that would entail a complete implementation of the Industry 4.0 innovations in developing nations and execute them entirely to achieve related benefits. Design/methodology/approach The primary factors impacting the Industry 4.0 implementation status recognized a focus on comprehensive literature analysis and its validation by recommendations from 12 specialists with substantial expertise in Industry 4.0. The DEMATEL technique has been implemented in this analysis to examine the structure of causal interactions among the recognized essential factors. Findings From a literature analysis and recommendations from specialists, 16 essential factors are recognized. Using DEMATEL techniques, ranking of the essential factors has been obtained according to their importance. Moreover, the findings show the cause and effect interactions among essential factors in the perspective of Industry 4.0 innovations in Indian manufacturing industries. Research limitations/implications The current research is restricted to Indian manufacturing industries (developing nations). Practical implications It will help industries move towards an Industry 4.0 implementation by knowing their status. A research model is being developed, including specific vital features of Industry 4.0 as indicators for its implementation. Nevertheless, few are renowned for how industries, especially in developing nations, perceive the possible effects of Industry 4.0 technological innovations and industrial efficiency. Originality/value To the best of the authors’ knowledge, the present research contributes first to be carried out regarding the model of information about the nature of causal interactions among the recognized essential factors of Industry 4.0 in the surrounding of Indian manufacturing industries to address the implementation status of Industry 4.0 innovations using DEMATEL technique.

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