在智利为工业4.0使能的信息通信技术的采用能力的差异

IF 1.4 4区 经济学 Q3 ECONOMICS
Francisco Gatica-Neira, Mario Ramos-Maldonado
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引用次数: 0

摘要

在第四次工业革命的背景下,本文分析了解释智利公司实现工业4.0的一些信息技术(ict)扩散程度的因素。在这一组中,我们发现了诸如:大数据、射频识别、云计算、ERP(企业需求规划)、CRM(客户关系管理)、SCM(供应链管理)和计算机安全等技术。通过聚类分析、有序逻辑回归和决策树,基于《2018年企业信息通信技术(ICT)获取和使用调查》(MINECON, 2020)中报告的2081家公司。得出的结论是,基于销售额和直接劳动力数量的技术采用存在重要差异。报告还指出,同时拥有信息和通信技术专业人员的分包公司更有可能投资于这类技术。我们发现了一种“技术上的惊人”,即企业首先结合云计算和ERP,然后增加所使用技术的数量和复杂性,从而在数字化转型中实现更大的协同效应和效益。必须执行监测技术变革的机制,以制定旨在使中小型企业采用技术的公共政策。这项工作通过多变量分析技术和数据科学,为工业4.0使能技术的传播过程提供了一个全球和跨部门的视角,对目前专注于商业案例研究、特定技术监测或特定生产部门分析的工作做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DIFFERENCES IN THE CAPACITY OF ADOPTION OF THE ENABLING ICTs FOR INDUSTRY 4.0 IN CHILE
In the context of the Fourth Industrial Revolution this paper analyzes the factors that explain the degree of diffusion of some Information Technologies (ICTs) enabling Industries 4.0 in Chilean companies. In this group we find technologies such as: Big data, RIFD (Radio frequency identification), Cloud computing, ERP (Enterprise requirements planning), CRM (Customer relationship management), SCM (Supply chain management) and Computer security. Through the analysis of clusters, orderly logistic regression and decision tree, based on 2,081 companies reported in the Survey of Access and Use of Information Communication Technology (ICT) in Companies 2018 (MINECON, 2020). It is concluded that there is an important difference in technological adoption based on size from the volume of sales and the amount of direct labor. It is also noted that companies that subcontract and at the same time have ICT professionals are more likely to invest in this type of technology. We detected a “technological staggering” where companies begin by incorporating Cloud Computing and ERP and then increase in the number and complexity of the technologies used, achieving greater synergies and benefits in digital transformation. It is necessary to implement mechanisms for monitoring technical change to generate public policies aimed at leveling technological adoption in small and medium-sized enterprises. This work provides a global and intersectoral view of the process of diffusion of enabling technologies for Industry 4.0 through multivariate analysis techniques and data science, being a contribution to what is currently worked on focused on the study of business cases, on the monitoring of a specific technology or on an analysis of a specific productive sector.
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来源期刊
CiteScore
2.70
自引率
13.30%
发文量
35
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