Baltica Journal

DOI LINK: https://doi.org/10.59879/PNH6h
Paper ID:PNH6h
Volume:38
Issue:4
Title:Decoding Enterprise Investment Drivers in Industry 4.0 Smart Manufacturing
Abstract:Industry 4.0, integrating smart manufacturing, digital manufacturing, smart logistics, and industrial automation, has emerged as a core paradigm for industry leaders and scholars advancing sustainable development. This study develops a theoretical model to decode the key drivers influencing enterprises’ intentions to invest in smart manufacturing. The model was empirically analyzed using data from an online survey of 188 R&D and project development professionals from manufacturing and high-tech enterprises in Taiwan. The findings unveil critical insights into sustainable investment strategies for Industry 4.0, offering practical guidance for policymakers, industry stakeholders, and researchers, while paving the way for the future evolution of smart manufacturing.
Keywords:Industry 4.0; Smart Manufacturing; Industrial applications of the Internet of Things; Industrial Internet; Social Cognitive Theory; Government Subsidy Policies; Investment Intention
Authors:Chiao-Shan Chen
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