大数据及其价值创造和获取潜力研究的文献计量学分析

IF 0.8 Q4 MANAGEMENT
Saba Abdian, M. H. Shahri, A. Khadivar
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引用次数: 1

摘要

大数据的出现是商业环境的根本转变,导致了价值创造和获取的变化。这种现象在商业和管理文献中是一个新生的概念,近年来越来越多的出版物证实了这一点。本文提出了一个更新的综合文献计量分析,以描述和评估基于利用文献中的大数据的价值创造和获取的科学景观。选取2011 - 2020年Web of Science Core Collection数据库为基础,采用Bibliometrix和VOSviewer作为描述性和网络文献计量分析的软件工具。通过引文分析和关键词共现分析等文献计量分析,我们识别出了最突出、最具影响力的作者、论文、期刊、国家和当前研究趋势的四个潜在集群。从大数据研究来看,价值创造与获取的四个趋势是:1)加强大数据时代价值创造的基础知识,2)数据驱动的商业模式和价值获取,3)知识的动态能力和中心性,4)服务业的数字化转型。最后,通过对现有研究缺口的识别,提出了各集群未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bibliometric Analysis of Research on Big Data and Its Potential to Value Creation and Capture
The emergence of big data is a radical shift in the business context, leading to a change in value creation and capture. This phenomenon is a newborn concept in the business and management literature confirmed by the growing number of publications over recent years. This paper presents an updating comprehensive bibliometric analysis to describe and assess the scientific landscape of value creation and capture based on leveraging big data in the literature. Bibliometrix and VOSviewer were selected as software tools for descriptive and network bibliometric analysis based on the Web of Science Core Collection database from 2011 till 2020. By implementing bibliometric analysis such as analysis of citations and co-occurrence of keywords, we have recognized the most prominent and influential authors, papers, journals, countries, and four potential clusters of current trends in studies. These four trends of value creation and capture from big data studies are: 1) strengthening the basic knowledge of value creation in the big data era, 2) data-driven business model and value capturing, 3) dynamic capabilities and centrality of knowledge, and 4) digital transformation of the service industry. Finally, by identifying the existing research gaps, future research directions in each cluster are demonstrated.
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