Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Jiju Antony, Michael Sony, Olivia McDermott

    Research output: Contribution to journalArticlepeer-review

    41 Scopus citations

    Abstract

    Purpose: Organizations use Industry 4.0 readiness models to evaluate their preparedness prior to the implementation of Industry 4.0. Though there are many studies on Industry 4.0 readiness models, the dimensions of readiness differ. Besides, there is no study empirically validating the readiness model in different sectors or types of organization. The purpose of this study is to conceptualize the dimensions of the Industry 4.0 readiness model and subsequently evaluate the criticality of these dimensions in manufacturing, service, small and medium-sized enterprises (SMEs) and large enterprises (LEs). Design/methodology/approach: The study uses an exploratory sequential mixed method design. In phase one, 37 senior managers participated through a purposive sampling frame. In phase two, 70 senior managers participated in an online survey. Findings: The results of the study indicated that the Industry 4.0 readiness model has 10 dimensions. Further, the criticality of the dimensions as applied to different sectors and type of organizations is put forward. This study will help manufacturing, services, SMEs and LEs to evaluate Industry 4.0 readiness before commencing the deployment of Industry 4.0. Practical implications: The findings can be very beneficial for Industry 4.0 practitioners and senior managers in different organisations to understand what readiness dimensions need to be considered prior to implementation of Industry 4.0 technology. Originality/value: This paper makes an attempt to conceptualize the Industry 4.0 readiness model and utilizes an exploratory mixed method for critically evaluating the dimensions related to the model.

    Original languageBritish English
    Pages (from-to)577-596
    Number of pages20
    JournalTQM Journal
    Volume35
    Issue number2
    DOIs
    StatePublished - 26 Jan 2023

    Keywords

    • Industry 4.0
    • Industry 4.0 implementation
    • Interviews
    • Readiness model
    • Surveys

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