| Issue |
E3S Web Conf.
Volume 412, 2023
International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023)
|
|
|---|---|---|
| Article Number | 01104 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202341201104 | |
| Published online | 17 August 2023 | |
The use of data mining to influence social entrepreneurship and territorial dynamics
1 University Sidi Mohammmed Ben Abdellah, Fez, Morocco.
2 University Sidi Mohammmed Ben Abdellah, Fez, Morocco.
3 Poitier University, Poitier France. EFSI Sarthe, France.
The digitalization of the economy is a trendy phenomenon that is transforming the micro and macro-economy, evolving at a record pace and directly impacting the performance and social entrepreneurship of organizations in various sectors around the world. Organizations must therefore face vast waves of data to follow the news and facilitate territorial intelligence. This world of data is defined by the collective name of data mining, the processing of which is usually carried out by artificial intelligence technology. Entrepreneurship creates spaces of solidarity, mutual aid and coalition between social groups suffering from poverty, precariousness and even precariousness, with the aim of ensuring equitable distribution for the benefit of all. In this context, Morocco has embarked on structural changes, strengthened its modern and competitive economy, facilitated the creation of growth and encouraged entrepreneurship, and has committed itself to national commitments to territorial development.
To get a broader and clearer idea of the impact of data mining and economic intelligence on territorial intelligence and social entrepreneurship, we seek to answer the following questions: How does social entrepreneurship promote territorial dynamics through artificial intelligence, particularly in the Fez-Meknes region?
Key words: Data Mining / economic intelligence / social entrepreneurship / smart territories / Territorial dynamics / Artificial intelligence / Big Data
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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