This study aims to identify how environmental, technological, and social factors influence the adoption of Industry 4.0 in the context of digital manufacturing. The Industry 4.0 era has brought a breakthrough in advanced technologies in fields such as nanotechnology, quantum computing, biotechnology, artificial intelligence, robotics, the Internet of Things, fifth-generation wireless technology, fully autonomous vehicles, 3D printing and so on. In this study, we attempted to identify the socioenvironmental and technological factors that influence the adoption of artificial intelligence embedded technology by digital manufacturing and production organizations. In doing so, the extended technology-organization-environment (TOE) framework is used to explore the applicability of Industry 4.0. A conceptual model was proposed that used an integrated technology acceptance model (TAM)-TOE model and was tested using survey-based data collected from 340 employees of small, medium and large organizations. The results highlight that all the relationships, except organizational readiness, organizational compatibility and partner support on perceived ease of use, were found to be significant in the context of digital manufacturing and production organizations. The results further indicated that leadership support acts as a countable factor to moderate such an adoption.

本研究旨在确定环境，技术和社会因素如何影响数字制造环境下工业4.0的采用。工业4.0时代在纳米技术，量子计算，生物技术，人工智能，机器人技术，物联网，第五代无线技术，全自动驾驶汽车，3D打印等领域的先进技术方面取得了突破。在这项研究中，我们试图确定影响数字制造和生产组织采用人工智能嵌入式技术的社会环境和技术因素。在此过程中，使用扩展的技术组织环境（TOE）框架来探索工业4.0的适用性。提出了一个概念模型，该模型使用了集成技术接受模型（TAM）-TOE模型，并使用了从340个大小，中型和大型组织的员工收集的基于调查的数据进行了测试。结果突出表明，在数字制造和生产组织的背景下，除了组织准备就绪，组织兼容性和合作伙伴对易用性的支持外，所有关系都非常重要。结果还表明，领导支持是调节这种采用的可数因素。在数字制造和生产组织的背景下，发现组织的兼容性和合作伙伴对易用性的支持非常重要。结果还表明，领导支持是调节这种采用的可数因素。在数字制造和生产组织的背景下，发现组织的兼容性和合作伙伴对易用性的支持非常重要。结果还表明，领导支持是调节这种采用的可数因素。