AI-Based Strategy in Building Competitive Advantage and Sustainability of Blue Economy Industry in North Sulawesi
Dublin Core
Title
AI-Based Strategy in Building Competitive Advantage and Sustainability of Blue Economy Industry in North Sulawesi
Creator
Noviaty K. Darmasetiawan, Andri Rianawati, Faizal S. Hadi, Juliani D. Trisnawati, Edmund Nathaniel , Dessy A. Christy
Proceedings Item Type Metadata
meta_title
AI-Based Strategy in Building Competitive Advantage and Sustainability of Blue Economy Industry in North Sulawesi
Abstract/Description
North Sulawesi is one of Indonesia's strategic regions that has great potential in the blue economy sector, especially in fisheries, marine tourism, and marine energy. However, the challenges of sustainability and global competitiveness demand an innovative approach. This article examines the role of artificial intelligence (AI) as a strategy to strengthen the competitiveness and sustainability of the blue economy sector in North Sulawesi. Through a literature study approach and contextual analysis, it was found that AI is able to support efficient marine resource management, increase the productivity of the marine sector, and encourage digital transformation in the blue economy ecosystem.
publication_date
2025/06/15
pdf_url
https://insyma.org/proceedings/files/articles/Noviaty_Kresna_Darmasetiawan.pdf
abstract_html_url
https://insyma.org/proceedings/items/show/319
keywords
Artificial Intelligence, Blue Economy, Competitive Advantage, Sustainability
firstpage
52
lastpage
56
issn
3047-857X
conference
Proceedings of the International Symposium on Management (INSYMA)
Volume
22
publisher_name
Fakultas Bisnis dan Ekonomika, Universitas Surabaya
no article
8
Files
Citation
Noviaty K. Darmasetiawan, Andri Rianawati, Faizal S. Hadi, Juliani D. Trisnawati, Edmund Nathaniel , Dessy A. Christy, “AI-Based Strategy in Building Competitive Advantage and Sustainability of Blue Economy Industry in North Sulawesi,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/319.