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August 17, 2025Encyclopedia1 citationsOpen Access

Harnessing Big Data and Artificial Intelligence for Entrepreneurial Innovation: Opportunities, Challenges, and Strategic Implications

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HSHarry Ph. Sophocleous

Key Points

  • Integrating big data and AI improves operational efficiency and customer insights, but poses ethical challenges.
  • The entry highlights algorithmic bias as a significant concern, impacting fairness in decision-making processes.
  • Current literature suggests that strategic alignment is crucial for effective integration of these technologies in firms.
  • A conceptual framework is proposed for future empirical inquiry into the relationship between AI, big data, and entrepreneurship.

Abstract

Big Data and Artificial Intelligence (AI) are transforming the entrepreneurial landscape by reshaping how start-ups and established firms ideate, operate, and compete. This entry explores the intersection of these technologies with entrepreneurship, highlighting how they enhance decision-making, customer insights, and operational efficiency. While the benefits are substantial, integrating these technologies presents challenges related to data ethics, privacy, algorithmic bias, sustainability, accessibility, and implementation complexity. Through analysis of current literature, critical perspectives, and illustrative case studies, this entry emphasises the need for strategic alignment, ethical considerations, and adaptive organisational cultures. The entry contributes to existing research by synthesising trends, critiquing over-optimistic narratives, and suggesting a conceptual framework for future empirical inquiry.

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Cite This Study

Harry Ph. Sophocleous (2025) studied this question.

synapsesocial.com/papers/68a36a3f0a429f797332e988https://doi.org/10.3390/encyclopedia5030122
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