TY - CHAP
T1 - Enhancing Entrepreneurial Opportunities through AI-Driven Strategies and Techniques
AU - Egala, Sulemana Bankuoru
AU - Devine, Samuel Nii Odoi
AU - Asante, Andrew
AU - Kolog, Emmanuel Awuni
N1 - Publisher Copyright:
© 2025 selection and editorial matter, Richard Boateng, Sheena Lovia Boateng, Thomas Anning-Dorson, Emmanuel Awuni Kolog, Joseph Budu, John Serbe Marfo and Obed Kwame Adzaku Penu individual chapters, the contributors.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - This chapter presents a scoping review approach to explore entrepreneurial opportunities through AI-driven strategies and techniques. With the exponential growth of digital data generation and propagation, characterized by vast volumes and varieties, the scoping review methodology facilitates the extraction of meaningful insights and the identification of AI-driven opportunities. The primary objective of the chapter is to investigate AI-driven approaches to scraping data, analyzing, and discovering entrepreneurial opportunities. Grounded on the scoping review approach, we have demonstrated how AI-driven methodologies, such as machine learning and natural language processing, can be utilized to explore relevant data for identifying entrepreneurial opportunities. Through this approach, the study aims to contribute to the advancement of knowledge at the intersection of entrepreneurship and artificial intelligence, thereby providing valuable insights for practitioners, policymakers, and scholars alike.
AB - This chapter presents a scoping review approach to explore entrepreneurial opportunities through AI-driven strategies and techniques. With the exponential growth of digital data generation and propagation, characterized by vast volumes and varieties, the scoping review methodology facilitates the extraction of meaningful insights and the identification of AI-driven opportunities. The primary objective of the chapter is to investigate AI-driven approaches to scraping data, analyzing, and discovering entrepreneurial opportunities. Grounded on the scoping review approach, we have demonstrated how AI-driven methodologies, such as machine learning and natural language processing, can be utilized to explore relevant data for identifying entrepreneurial opportunities. Through this approach, the study aims to contribute to the advancement of knowledge at the intersection of entrepreneurship and artificial intelligence, thereby providing valuable insights for practitioners, policymakers, and scholars alike.
UR - https://www.scopus.com/pages/publications/105005041188
U2 - 10.4324/9781003507314-7
DO - 10.4324/9781003507314-7
M3 - Chapter
AN - SCOPUS:105005041188
SN - 9781032830155
SP - 127
EP - 158
BT - Leveraging AI for Freelancing
PB - Taylor and Francis
ER -