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All Journal Aptisi Transactions on Technopreneurship (ATT) International Transactions on Artificial Intelligence (ITALIC)
Angel, Mary
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Library & Information Science Social Sciences

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Strategic Management and Socialpreneurship for Achieving Food Sustainability in Free Lunch Programs Goh, Thomas Sumarsan; Suteja, Jaja; Erika, Erika; Simanjuntak, Arthur; Karsa, Aldo Hermaya Aditiya Nur; Angel, Mary
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.528

Abstract

Achieving Sustainable Development Goal 2 (SDG 2), which focuses on ending hunger, requires innovative approaches in strategic management and socialpreneurship food sustainability. This study investigates the intersection between these fields from 2016 to 2024. The primary objective is to analyze trends and contributions in the area of strategic management applied to food sustainability, particularly focusing on SDG 2, and to understand how business strategies and government policies can contribute to food security and hunger reduction. A bibliometric analysis was conducted using Scopus and VOSviewer to examine bibliometric relationships between countries, authors, organizations, journals, documents, and emerging keywords related to strategic management and socialpreneurship food sustainability. The study specifically looks at the growth of research and the relationship between key concepts. The analysis revealed a significant increase in research activity, with the volume of publications more than tripling from 2016 to 2023. Key countries contributing to this growth include India, Spain, and Bangladesh, with Dar es Salaam University emerging as a leader in food sustainability research in Africa. VOSviewer highlighted the rising importance of Artificial Intelligence and blockchain technologies in optimizing food security through supply chain management. The findings underscore the critical role of government policies and corporate responsibility in achieving SDG 2 and reducing hunger. Successful implementation of sustainable practices in corporate strategies requires strong collaboration between companies, government agencies, and other stakeholders.
Foundations for AI Driven Communication Models Qualitative Analysis of Indonesian Language Adaptation E-Commerce Sunarya, Po Abas; Prabowo, Dimas Aditya; Angel, Mary; Fitriawati, Nora; Fernando, Erick; Susetyono, Eko; Madani, Muchlishina
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.798

Abstract

In the rapidly evolving digital economy, effective communication between sellers and customers on e-commerce platforms plays a pivotal role in shaping user experience and satisfaction. This study explores the adaptation of the Indonesian language within these interactions, focusing on the linguistic styles, usage patterns, and communication challenges faced by sellers and customers. Employing a qualitative descriptive approach, data were collected from direct conversations and product descriptions on leading Indonesian e-commerce platforms. Findings reveal a dominant use of semi-formal and informal language styles, enhanced by abbreviations, emojis, and popular digital jargon, which collectively foster a sense of familiarity and responsiveness. However, balancing language standardization with the demands for fast and engaging communication remains a significant challenge. The results underline the critical need for communication models that can adapt to the dynamic nature of digital discourse while maintaining clarity and politeness. This research lays the groundwork for developing intelligent communication systems powered by artificial intelligence, which can effectively interpret and generate contextually appropriate language in e-commerce settings. The insights gained here offer valuable foundations for future work in creating AI-driven tools aimed at enhancing digital customer engagement and satisfaction through culturally and linguistically aware communication strategies.
Co-Authors Arthur Simanjuntak Erick Fernando B311087192 Erika Erika Fitriawati, Nora Goh, Thomas Sumarsan Jaja Suteja Karsa, Aldo Hermaya Aditiya Nur Madani, Muchlishina Po Abas Sunarya Prabowo, Dimas Aditya Susetyono, Eko