Purpose The purpose of this paper is to identify current technologies related to Industry 4.0 and to develop a rationale to enhance the understanding of their functions within a data-driven paradigm. Design/methodology/approach A systematic literature review of 119 papers published in journals included in the Journal Citation Report (JCR) was conducted to identify Industry 4.0 technologies. A descriptive analysis characterizes the corpus, and a content analysis identifies the technologies. Findings The content analysis identified 111 technologies. These technologies perform four functions related to data: data generation and capture, data transmission, data conditioning, storage and processing and data application. The first three groups consist of enabling technologies and the fourth group of value-creating technologies. Results show that Industry 4.0 publications focus on enabling technologies that transmit and process data. Value-creating technologies, which apply data in order to develop new solutions, are still rare in the literature. Research limitations/implications The proposed framework serves as a structure for analysing the focus of publications over time, and enables the classification of new technologies as the paradigm evolves. Practical implications Because the technical side of the new production paradigm is complex and represents an evolving field, managers benefit from a simplified and data-driven approach. The proposed framework suggests that Industry 4.0 should be approached by looking at how data can create value and at what role each technology plays in this task. Originality/value The study makes a direct link between Industry 4.0 technologies and the key resource of this revolution, i.e. data. It provides a rationale that not only establishes relationships between technologies and data, but also highlights their roles as enablers or creators of value. Beyond showing the current focus of Industry 4.0 publications, this paper proposes a framework that is useful for tracking the evolution of the paradigm.

中文翻译：

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作为数据驱动范式的工业 4.0：关于技术的系统文献综述

目的 本文的目的是确定与工业 4.0 相关的当前技术，并提出一个基本原理，以增强对其在数据驱动范式中的功能的理解。设计/方法/方法 对发表在期刊引用报告 (JCR) 中的期刊上的 119 篇论文进行了系统的文献审查，以确定工业 4.0 技术。描述性分析表征语料库，内容分析确定技术。结果 内容分析确定了 111 项技术。这些技术执行与数据相关的四项功能：数据生成和捕获、数据传输、数据调节、存储和处理以及数据应用。前三组由使能技术和第四组创造价值的技术组成。结果表明，工业 4.0 出版物侧重于传输和处理数据的支持技术。应用数据以开发新解决方案的价值创造技术在文献中仍然很少见。研究限制/影响 提议的框架作为一种结构，用于分析随时间推移的出版物重点，并能够随着范式的发展对新技术进行分类。实际意义 因为新生产范式的技术方面很复杂并且代表了一个不断发展的领域，所以管理人员可以从简化的数据驱动方法中受益。提议的框架表明，工业 4.0 应该通过研究数据如何创造价值以及每种技术在这项任务中扮演什么角色来实现。原创性/价值 该研究在工业 4 之间建立了直接联系。0 技术和这场革命的关键资源，即数据。它提供了一个基本原理，不仅在技术和数据之间建立了关系，而且还强调了它们作为价值的推动者或创造者的作用。除了展示工业 4.0 出版物的当前重点之外，本文还提出了一个有助于跟踪范式演变的框架。