Leveraging Business Intelligence and AI for Enhanced Decision- Making in Entrepreneurship: A Bibliometric Analysis

This paper investigates the pivotal role of Business Intelligence (BI) and Artificial Intelligence (AI) in enhancing decision-making processes for entrepreneurs. As the business landscape becomes increasingly data-driven, the integration of advanced analytics and predictive tools has emerged as a critical factor for entrepreneurial success. This study employs bibliometric analysis to identify trends and gaps in the existing literature, revealing a significant shift towards utilizing sophisticated BI technologies for strategic decision-making. The findings indicate that entrepreneurs who leverage these tools can better anticipate market trends, assess risks, and derive customer insights, thereby fostering agility and responsiveness in their operations. Furthermore, the research highlights the underexplored intersection of emerging technologies, such as AI and big data analytics, within the entrepreneurial context. By providing a comprehensive overview of how BI systems can be optimized, this study contributes to the understanding of the essential role of data analytics in navigating the complexities of modern entrepreneurship

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Published
2025-03-15
DOI
https://doi.org/10.1109/isec64801.2025.11147307
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Leveraging Business Intelligence and AI for Enhanced Decision- Making in Entrepreneurship: A Bibliometric Analysis

Mardhatilah Shanti, Rahmi Ramadhani, Zainiyah Alfirdaus
Big Data and Business Intelligence
article

Leveraging Business Intelligence and AI for Enhanced Decision- Making in Entrepreneurship: A Bibliometric Analysis

Mardhatilah Shanti, Rahmi Ramadhani, Zainiyah Alfirdaus
article en

Abstract

This paper investigates the pivotal role of Business Intelligence (BI) and Artificial Intelligence (AI) in enhancing decision-making processes for entrepreneurs. As the business landscape becomes increasingly data-driven, the integration of advanced analytics and predictive tools has emerged as a critical factor for entrepreneurial success. This study employs bibliometric analysis to identify trends and gaps in the existing literature, revealing a significant shift towards utilizing sophisticated BI technologies for strategic decision-making. The findings indicate that entrepreneurs who leverage these tools can better anticipate market trends, assess risks, and derive customer insights, thereby fostering agility and responsiveness in their operations. Furthermore, the research highlights the underexplored intersection of emerging technologies, such as AI and big data analytics, within the entrepreneurial context. By providing a comprehensive overview of how BI systems can be optimized, this study contributes to the understanding of the essential role of data analytics in navigating the complexities of modern entrepreneurship

Binus University (ID)
Openalex Percentile: Top 60%
Big Data and Business Intelligence
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Leveraging Business Intelligence and AI for Enhanced Decision- Making in Entrepreneurship: A Bibliometric Analysis — Mardhatilah Shanti, Rahmi Ramadhani, et al. · (2025) | TGRS Research Map | TGRS