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Artificial intelligence at the core of digital entrepreneurship: a conceptual approach
[L'intelligence artificielle au coeur de l'entrepreneuriat digital : une perspective conceptuelle]

Author

Listed:
  • Nada Znady

    (FSJES - Faculté des Sciences Juridiques, Economique et Sociales de Mohammedia - UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar))

  • Mohamed Bazi

    (Professeur d’enseignement supérieur à la faculté des sciences juridiques, économiques, et sociales de Mohammedia)

Abstract

In recent years, the world has witnessed significant progress and rapid development in the field of digital technology, leading to the emergence of digital entrepreneurship and the creation of new digital enterprises. Artificial intelligence (AI), as a form of technology, is an ever-evolving domain that continues to transform various sectors, including business. Many companies now rely on AI to streamline tasks, identify opportunities more efficiently, and enhance performance. Indeed, the major advantages of AI include increased productivity and cost optimization, with its impact being particularly pronounced in areas such as e-commerce and healthcare.However, the study reveals persistent challenges, particularly those related to costs, required skills, and ethical concerns. The methodology involves analyzing existing literature and previously studied applications of AI in digital entrepreneurship. In this context, our study aims, from a theoretical perspective, to examine the key elements of AI's contribution to digital entrepreneurship, focusing on the challenges entrepreneurs face during their digital transformation journey.

Suggested Citation

  • Nada Znady & Mohamed Bazi, 2025. "Artificial intelligence at the core of digital entrepreneurship: a conceptual approach [L'intelligence artificielle au coeur de l'entrepreneuriat digital : une perspective conceptuelle]," Post-Print hal-05017909, HAL.
    • Handle: RePEc:hal:journl:hal-05017909
    DOI: 10.5281/zenodo.15108650
    Note: View the original document on HAL open archive server: https://hal.science/hal-05017909v1
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    References listed on IDEAS

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