Big data in the business environment: an analysis of its contributions to Competitiveness. A Literature Review

Omar Alexánder León García, Lina Fernanda Parra Acero
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Abstract

In the era of Industry 4.0, characterized by transformative technological advancements reshaping manufacturing processes, big data has become a common practice in business intelligence. It encompasses the use of data with advanced analytics techniques and plays an important role in business aspects and customer choice. In this context, the primary goal of this research is to comprehend the relationship between big data and the competitiveness of businesses. The research is based on a review of 83 articles published on the Web of Science in the period 2016 and 2023. Through cluster analysis, four groups of research categories are identified in this area (big data and AI in Industry 4.0, analysis of data for decision-making, big data and business innovation, and Internet of Things as a data source). The practical implications of this research are pertinent to organizational management activities involving innovation processes and decision-making, with direct implications for small and midsize enterprises competitiveness. On a theoretical level, the identified categories provide a framework for future research in understanding the connection between big data and competitiveness in the context of industry 4.0.
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商业环境中的大数据:分析其对竞争力的贡献。文献综述
在以变革性技术进步重塑生产流程为特征的工业 4.0 时代,大数据已成为商业智能的一种常见做法。它包括利用数据和先进的分析技术,并在业务方面和客户选择中发挥着重要作用。在此背景下,本研究的主要目标是理解大数据与企业竞争力之间的关系。研究基于对 2016 年至 2023 年期间发表在 Web of Science 上的 83 篇文章的综述。通过聚类分析,确定了该领域的四组研究类别(工业 4.0 中的大数据与人工智能、用于决策的数据分析、大数据与商业创新,以及作为数据源的物联网)。这项研究的实际意义与涉及创新过程和决策的组织管理活动相关,对中小型企业的竞争力具有直接影响。在理论层面上,所确定的类别为未来研究提供了一个框架,有助于理解工业 4.0 背景下大数据与竞争力之间的联系。
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