工业革命4.0 (IR4.0)在工业参与者中的准备:一个系统的文献综述

Nurul Izzati Saleh, Mohamad Taha Ijab
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引用次数: 1

摘要

服务业是第四次工业革命的重点,这是一场影响所有行业的数字革命。工业革命4.0的一个关键组成部分是组织引入和采用新技术,包括人工智能(AI)、大数据分析、物联网(IoT)、云计算、增强现实、仿真、网络安全、系统集成、增材制造、机器人和自主系统。根据研究,59%的大数据和物联网专业企业也采用了人工智能技术。通过将技术解决方案开发、采用和集成到劳动力和行业中,行业参与者的准备和他们对这些技术的使用将能够提高生产率增长。根据文献调查,特别是马来西亚,工业对工业4.0的准备程度仍然处于中低水平。本文的目的是进行系统的文献综述,以理解文献中讨论的IR4.0准备模型,IR4.0准备背后的驱动力和阻碍力量,以及行业参与者使用自我评估工具来衡量他们自己的IR4.0准备水平。本文使用了Scopus、Emerald Insight、IEEE、施普林格、Web of Science和Science Direct等六大知名互联网数据库。最后,根据为研究设定的纳入和排除标准,经过严格的筛选方法,从最初搜索的10428篇文章中筛选出55篇。根据研究,准备模型经常围绕各种理论及其理论结构进行讨论和框架,包括成功模型、信息系统、接受理论以及相关的成熟度和准备理论。以下因素经常发挥双重作用,既起推动作用,又起抑制作用。这些因素包括资金、基础设施、监管、技能和能力、技术和承诺。本研究提出了基于综合文献的工业IR4.0准备和实施框架。该框架旨在帮助行业参与者分阶段部署IR4.0,并逐步提高其IR4.0准备水平。
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Industrial Revolution 4.0 (IR4.0) Readiness Among Industry Players: A Systematic Literature Review
The service sector is a key focus of the Fourth Industrial Revolution (IR4.0), a digital revolution that affects all industries. A key component of IR4.0 is the introduction and uptake of new technologies by organizations, including artificial intelligence (AI), big data analytics, the Internet of Things (IoT), cloud computing, augmented reality, simulation, cybersecurity, systems integration, additive manufacturing, and robotics and autonomous systems. According to research, 59% of businesses with expertise in big data and IoT also employ AI technologies. Through the development, adoption, and integration of technology solutions into the workforce and industries, industry participants’ readiness and their use of these technologies will be able to increase productivity growth. According to a survey of the literature, Malaysia in particular still has a low to medium degree of industry readiness for IR4.0. The purpose of this paper is to conduct a systematic literature review in order to comprehend the IR4.0 readiness models that have been discussed in the literature, the driving and impeding forces behind IR4.0 readiness, and the use of self-evaluation tools by industry participants to gauge their own IR4.0 readiness level. Six prominent internet databases, including Scopus, Emerald Insight, IEEE, Springer, Web of Science, and Science Direct, were used in the review. Finally, 55 out of the initially searched 10,428 articles were selected based on the inclusion and exclusion criteria set for the study after rigorous methods of screening the papers. According to the research, readiness models are frequently addressed and framed around a variety of theories and their theoretical constructs, including success models, information systems, acceptance theory, and pertinent maturity and readiness theories. The following factors frequently play a dual role, acting as both a driving and an inhibiting influence. These factors include funding, infrastructure, regulatory, skills and competency, technology, and commitment. This study suggests the IR4.0 Readiness and Implementation Framework for industry based on the synthesized literature. The framework seeks to help industry participants deploy IR4.0 in stages and gradually increase their IR4.0 readiness levels.
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