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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| Acceso en línea: | https://doi.org/10.5281/zenodo.17407607 |
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| _version_ | 1866902210895413248 |
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| author | Audu, Mariam Sha |
| author_facet | Audu, Mariam Sha |
| contents | <p>The growing intersection between finance, nutrition, and technology is reshaping how modern<br>food enterprises design business models that are both profitable and socially responsible.<br>Predictive analytics and data-driven modeling have introduced new paradigms in efficiency<br>measurement, nutritional strategy, and sustainable growth. This paper explores how financial<br>modeling can integrate predictive innovation to promote long-term value creation in the<br>food-tech industry. The study presents a conceptual framework illustrating how organizations<br>can align profitability with community health outcomes through the use of data intelligence.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17407607 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Financial Modeling and Predictive Innovation in the Food-Tech Industry: Aligning Profitability with Nutritional Sustainability Audu, Mariam Sha predictive analytics (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride/analysis food-tech Food technology Food Technology/history financial modeling AI forecasting nutrition intelligence <p>The growing intersection between finance, nutrition, and technology is reshaping how modern<br>food enterprises design business models that are both profitable and socially responsible.<br>Predictive analytics and data-driven modeling have introduced new paradigms in efficiency<br>measurement, nutritional strategy, and sustainable growth. This paper explores how financial<br>modeling can integrate predictive innovation to promote long-term value creation in the<br>food-tech industry. The study presents a conceptual framework illustrating how organizations<br>can align profitability with community health outcomes through the use of data intelligence.</p> |
| title | Financial Modeling and Predictive Innovation in the Food-Tech Industry: Aligning Profitability with Nutritional Sustainability |
| topic | predictive analytics (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride/analysis food-tech Food technology Food Technology/history financial modeling AI forecasting nutrition intelligence |
| url | https://doi.org/10.5281/zenodo.17407607 |