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KEY SUCCESS FACTORS OF BUSINESS PERFORMANCE: EVIDENCE FROM SMART FACTORIES IN SOUTH KOREA

机译:商业绩效的关键成功因素:韩国智能工厂的证据

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The purpose of this study is to reveal the effects of key smart-factory success factors?the Internet of Things (IoT), big data, artificial intelligence (AI), fifth-generation (5G), and MES (manufacturing execution systems)?on the continuous use and business performance of smart factories in small and medium-sized manufacturing companies. To achieve this, an empirical survey was conducted with 189 key managers in 50 small and medium-sized enterprises (SMEs) that have established smart factories with government aid, and the responses were analyzed with a structural equation model using the AMOS program. The research findings show that these success factors were only partially effective?they had a positive effect on the continuous use of smart factories by SMEs, as well as the factories? productivity and quality performance (sub-factors of business performance), but had no significant effect on financial performance. This means that the effective utilization of these factors can enable high-quality performance by maintaining operational efficiency. Consequently, the integration and utilization of IoT, big data, AI, 5G, and MES based on AI technologies have policy and practical implications, showing that they should be used as key success factors in SMEs.
机译:本研究的目的是揭示关键智能工厂成功因素的影响吗?物联网(物联网),大数据,人工智能(AI),第五代(5G)和MES​​(制造执行系统)?论中小型制造公司智能工厂的持续使用和业务绩效。为实现这一目标,在50个中小型企业(中小企业)中,通过了具有政府援助的智能工厂的50家主要管理人员进行了实证调查,并使用AMOS计划用结构方程式进行了响应。研究结果表明,这些成功因素仅部分有效吗?它们对中小企业的持续使用智能工厂以及工厂进行了积极影响?生产力和质量表现(商业绩效的子因素),但对财务表现没有显着影响。这意味着这些因素的有效利用可以通过维持运营效率实现高质量的性能。因此,基于AI技术的IOT,大数据,AI,5G和ME的集成和利用具有政策和实际意义,表明它们应该被用作中小企业的关键成功因素。

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