为中小型企业使用大数据分析

IF 0.8 Q4 MANAGEMENT
Olga Chernovaa, Inna Mitrofanovab, Marina Pleshakovad, Victoria Batmanovac
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引用次数: 0

摘要

中小企业在各国经济中都占有重要地位。在工业4.0发展的现代条件下,将大数据分析引入中小型企业的绩效可以成为其功能可持续增长和竞争优势发展的基础。然而,对于中小企业来说,大数据技术的使用并不典型。与此同时,中小企业在资源和基础设施限制的背景下使用大数据分析的问题研究得很少。本文的目的是开发一个概念模型,用于在中小型企业的活动中实施大数据分析,同时考虑到他们的数字化问题。这项研究是在俄罗斯经济数据的基础上进行的。对中小企业使用大数据分析的问题的分析是基于系统分析的方法,包括对象、环境和项目过程开发子系统的识别。研究的新颖之处在于,大数据使用结构的发展模型是根据数据管理生命周期内必须解决的主要任务的内容进行的。研究结果表明,在中小企业活动中引入大数据分析的主要问题与企业家对其好处缺乏了解有关。同样重要的问题是缺乏财政资源和缺乏能够对这些过程进行战略性管理的合格雇员。鉴于这些问题,作者得出结论,中小型企业使用大数据分析的模型应该基于云软件的使用和开源大数据项目的分析。本文提出了中小企业使用大数据的模型结构。本文为中小型企业数字化方向的发展提供了思路,以提高该经济部门在工业4.0背景下的可持续性。作者的进一步研究与政府支持数字化业务转型的机制和工具的有效性评估有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of big data analytics for small and medium sized businesses
Small and medium sized business has an important place in the economy of all countries. In modern conditions of Industry 4.0 development, the introduction of big data analytics into the performance of small and medium-sized businesses can become the basis for sustainability growth of their functioning and their competitive advantages' development. However, the use of Big Data technology is not typical for small and medium enterprises. At the same time, the issues of big data analytics use by small and medium-sized businesses in the context of their resource and infrastructure constraints are poorly studied. The purpose of this article is to develop a conceptual model for the implementation of big data analytics in the activities of small and medium-sized businesses, taking into account their digitalization problems. The study was made on the basis of the Russian economy data. The analysis of the issues of big data analytics' use for small and medium-sized businesses was based on the methodology of system analysis with the identification of object, environment and project-process development subsystems. The novelty of research consists in the fact that the development model of the structure of big data use was carried out in accordance with the content of the main tasks that must be solved within data management life cycle. The results of the study showed that the main issues of the introduction of big data analytics in the activities of small and medium-sized businesses are associated with a lack of understanding of its benefits by entrepreneurs. Also significant problems are the lack of financial resources and the lack of qualified employees capable of strategic administration of these processes. Given these problems, the authors conclude that the model for use of big data analytics by small and medium-sized businesses should be based on the use of cloud software and analysis of projects with open source big data. The article suggests the structure of the model for big data use by small and medium-sized businesses. This paper contributes to the development of ideas about the directions of digitalization of small and mediumsized businesses in order to increase the sustainability of this economic sector in the context of Industry 4.0. Further research by the authors is connected with effectiveness evaluation of mechanisms and tools of government support made for digital business transformations.
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来源期刊
CiteScore
1.40
自引率
14.30%
发文量
18
审稿时长
12 weeks
期刊介绍: Technical Faculty in Bor, University of Belgrade has started publishing the journal called Serbian Journal of Management during the year 2006. This journal is an international medium for the publication of work on the theory and practice of management science.
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