30–31 May 2025
Sibiu, Romania
Europe/Bucharest timezone

Data Analytics, Decision-Making Process and Business Performance: a bibliometric analysis

30 May 2025, 16:00
15m
COMPA Room - https://meet.google.com/scm-hghs-ggd (Mercure Sibiu Arsenal)

COMPA Room - https://meet.google.com/scm-hghs-ggd

Mercure Sibiu Arsenal

https://meet.google.com/scm-hghs-ggd
On-site Digital Economy and Management Session 2A

Speaker

Alexandra Ioana Radu (Lucian Blaga University of Sibiu)

Description

Considering the growing demand for data analytics and the increasing development of data analytical tools, the present study aims to provide a summative state-of-the-art of the available literature on the impact of data analytics on decision-making and business performance.
Businesses that effectively harness the power of data analytics can achieve enhanced performance and sustained competitive advantages. As technological advancements continue to evolve, the role of data analytics is expected to expand, unlocking new possibilities for research and practical applications across industries.
The growing academic literature also reflects the unfolding potential of these tools. The interest and the impact across different industries suggest a need for a comprehensive study that could systematically analyze the breadth and depth of this impact. For this purpose, a deep search and research for "data analytics" (by the article title, abstract, and keywords field) on the SCOPUS database was conducted, which returned 41761 results, and a bibliometric approach was used to analyze time trends, citation patterns and high-frequency keywords by using VOSviewer. This initial query of 41761 results ranged from 2014 to 2024, with the number of publications growing exponentially in more recent times, showcasing the growing demand for data analytics within various fields. To narrow the search new filters have been added. The bibliometric analysis of data analytics and its effects on decision-making and implicitly on business performance aims to contribute towards closing this gap in knowledge and answering the call for further investigation into the relationship between business analytics and business value. It is meant to provide a proper systematization of the existing literature on the topic. In the end, the results suggest that understanding how these tools can be used to an organization’s advantage can be detrimental. As research shows, incorporating data analytics into the decision-making process enhances business performance and positions organizations for long-term success. Through the implementation of proper systems, the right capabilities can be unlocked and implicitly the true potential of data analytics is revealed. By leveraging data to its fullest potential, organizations can improve decision-making, optimize resources, gain competitive advantages, and ultimately increase their performance.
Key words: data analytics; decision-making process; business performance; bibliometric analysis

Primary authors

Alexandra Ioana Radu (Lucian Blaga University of Sibiu) Mihaela Herciu (Lucian Blaga University of Sibiu)

Presentation materials

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