Bibliometric Analysis of the Impact of Big Data Technology on Business and Management
Businesses are established with the aim of generating more profit and remaining in operation for longer periods of time. Various practices contribute to ensuring the sustainability of businesses. One of these practices is big data technology. The application of big data technology, which has taken the whole world by storm and affected all sectors, is based on digital transformation. As a technology-based development, Industry 4.0 applications interact with many scientific fields such as sociology, economics, biological systems, and computer systems. Industry 4.0 applications bring about strategic transformations and paradigm shifts in all scientific fields and sectors. A bibliometric study is being conducted to observe and analyze the development of Industry 4.0 applications in the field of business, which enables important developments. The data for studies related to big data technology in the field of business and management was obtained from the Web of Science database, consisting of 2011 studies. The data obtained was analyzed using the Bibliometrix software in the R Studio program via the Biblioshiny database. The results show that 5,568 authors conducted research between 2020 and 2025. Additionally, it was found that the most frequently used keywords are “big data,” “big data analysis,” “digital transformation,” and “artificial intelligence.” Another important finding is that Bag and Papa are the authors who have conducted the most research in this field. Big data technology will make significant contributions to business and management, especially in 2024. The journal Technological Forecasting and Social Change contains the most studies related to this research topic. This research output serves as a guide for researchers interested in this field.
Authors
- Aylin Yılmaz Gezgin (ORCID: https://orcid.org/0000-0001-5462-8184)
Institutions
- Karamanoğlu Mehmetbey University (TR)
Publication Details
- Journal
- Information technology in economics and business.
- Published
- 2025-07-26
- DOI
- https://doi.org/10.69882/adba.iteb.2025073
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00