Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Leveraging AI for Freelancing |
| Subtitle of host publication | Current and Future Prospects |
| Publisher | Taylor and Francis |
| Pages | 127-158 |
| Number of pages | 32 |
| ISBN (Electronic) | 9781040332504 |
| ISBN (Print) | 9781032830155 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
Fingerprint
Dive into the research topics of 'Enhancing Entrepreneurial Opportunities through AI-Driven Strategies and Techniques'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver