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Artificial Intelligence and Earth Observation Data for Sustainable Agile Marketing Management
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Author(s): Ricardo Coutinho Mello (Universidade Federal da Bahia, Brazil), Rodrigo Ladeira (Universidade Federal da Bahia, Brazil), Bárbara Coelho Neves (Universidade Federal da Bahia, Brazil)and Daniela Barreiro Claro (Universidade Federal da Bahia, Brazil)
Copyright: 2025
Pages: 34
Source title:
Digital Transformation Initiatives for Agile Marketing
Source Author(s)/Editor(s): Sérgio Maravilhas (Federal University of Bahia, Brazil)and Rodrigo Ladeira (Federal University of Bahia, Brazil)
DOI: 10.4018/979-8-3693-4466-8.ch006
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Abstract
This chapter explores integrating Artificial Intelligence (AI) and Earth Observation (EO) Data to address global supply chain challenges, focusing on sustainability and agility. It highlights AI's potential in optimizing supply chain operations and EO data's role in environmental monitoring, considering placement as a marketing mix. The study showcases AI's capability to enhance supply chain transparency and accountability, contributing to environmental and social sustainability goals. The proposed framework integrates Socio-Technical Systems principles, acknowledging the interplay of human and organizational factors in sustainability-oriented Supply Chain Management (SCM). It emphasizes the importance of social and organizational viability, aiming to facilitate the integration of AI and EO data into SCM, promoting sustainability, efficiency, and resilience. By exploring AI and EO data within SCM, this chapter provides a foundation for understanding their combined potential in addressing supply chain challenges.
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