ARTIFICIAL INTELLIGENCE IN ENTREPRENEURSHIP: OPPORTUNITIES AND CHALLENGES

  • Unique Paper ID: 170078
  • Volume: 11
  • Issue: 6
  • PageNo: 3118-3125
  • Abstract:
  • This study investigates the landscape of artificial intelligence (AI) within the realm of entrepreneurship, focusing on the opportunities it presents and the challenges it poses. Data were collected through a questionnaire distributed to 170 individuals using the snowball sampling technique. The findings highlight a diverse demographic of respondents with varying levels of understanding and perceptions of AI within entrepreneurial contexts. While recognizing its potential for enhancing efficiency and reducing costs, there is divergence regarding its ability to drive innovation and creativity. Concerns around data privacy, security, and skill gaps in data science and machine learning are acknowledged, yet optimism persists regarding opportunities like improved decision-making and personalized customer experiences. Addressing these challenges necessitates strategies such as partnering with AI experts and advocating for clearer regulations. Policymakers are seen as pivotal in facilitating AI integration through regulatory frameworks, funding, and education initiatives. The mean scores underscore the nuanced perceptions of AI's benefits and challenges, with regulatory uncertainty standing out as a major concern. Overall, while AI presents promise for entrepreneurship, its responsible and effective integration requires a comprehensive approach encompassing technical and regulatory dimensions.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{170078,
        author = {Dr. K. Arun Vidhya and Dr. J. Soonu Aravindan and Dr. M. Vennila},
        title = {ARTIFICIAL INTELLIGENCE IN ENTREPRENEURSHIP: OPPORTUNITIES AND CHALLENGES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3118-3125},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170078},
        abstract = {This study investigates the landscape of artificial intelligence (AI) within the realm of entrepreneurship, focusing on the opportunities it presents and the challenges it poses. Data were collected through a questionnaire distributed to 170 individuals using the snowball sampling technique. The findings highlight a diverse demographic of respondents with varying levels of understanding and perceptions of AI within entrepreneurial contexts. While recognizing its potential for enhancing efficiency and reducing costs, there is divergence regarding its ability to drive innovation and creativity. Concerns around data privacy, security, and skill gaps in data science and machine learning are acknowledged, yet optimism persists regarding opportunities like improved decision-making and personalized customer experiences. Addressing these challenges necessitates strategies such as partnering with AI experts and advocating for clearer regulations. Policymakers are seen as pivotal in facilitating AI integration through regulatory frameworks, funding, and education initiatives. The mean scores underscore the nuanced perceptions of AI's benefits and challenges, with regulatory uncertainty standing out as a major concern. Overall, while AI presents promise for entrepreneurship, its responsible and effective integration requires a comprehensive approach encompassing technical and regulatory dimensions.},
        keywords = {Artificial Intelligence, Entrepreneur, Challenges, Data Science, Decision-Making},
        month = {November},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 3118-3125

ARTIFICIAL INTELLIGENCE IN ENTREPRENEURSHIP: OPPORTUNITIES AND CHALLENGES

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