How Blockchain-Enabled Drivers Stimulate Consumers’ Organic Food Purchase Intention: An Integrated Framework of Information Systems Success Model Within Stimulus-Organism-Response Theory in the Context of Vietnam

Ho, Bao Dinh; Duong, Doanh Cong; Ngo, Viet Nga Thi; Nguyen, Hoa Minh; Bui, Van Thu

doi:10.1080/10447318.2024.2406961

International Journal of Human–Computer Interaction

2024

DOI: 10.1080/10447318.2024.2406961

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How Blockchain-Enabled Drivers Stimulate Consumers’ Organic Food Purchase Intention: An Integrated Framework of Information Systems Success Model Within Stimulus-Organism-Response Theory in the Context of Vietnam

Bao Dinh Ho,

Doanh Cong Duong,

Viet Nga Thi Ngo

et al.

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Leveraging artificial intelligence to meet the sustainable development goals

Ziemba,

Duong,

Ejdys

et al. 2024

JEM

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Aim/purpose – This study aims to identify the role of Artificial Intelligence (AI) in achieving the Sustainable Development Goals (SDGs), with specific reference to their targets, and to present good practices in this regard. Design/methodology/approach – This study adopts qualitative research based on an integrative literature review encompassing five stages: problem identification, literature search, data evaluation, data analysis, and presentation of findings. Findings – This study presents a framework for leveraging AI to achieve SDGs. It de- tails the role of AI in achieving each SDG, identifies the best practices for using AI to achieve these goals, and recommends the main steps for systematically deploying AI to achieve SDGs. Research implications/limitations – The presented findings reflect the authors’ per- spective on the role of AI in achieving SDGs based on an integrative literature review, which may have overlooked some literature on AI’s impact on individual SDGs or lacked published evidence on such interlinkages. Originality/value/contribution – This study contributes to the existing body of knowledge by providing a comprehensive framework for leveraging AI to achieve the SDGs. It systematically identifies and details the role of AI in advancing each SDG, highlights best practices for deploying AI effectively, and recommends steps for integrating AI into SDG initiatives. The study’s value lies in its ability to guide policymakers, researchers, and practitioners in harnessing AI’s potential to address critical global challenges while highlighting the need for careful consideration of potential limitations and gaps in the existing literature. Keywords: sustainable development, SDGs, Agenda 2030, Artificial Intelligence, AI. JEL Classification: 033, M15; Q01.

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Leveraging artificial intelligence to meet the sustainable development goals

Ziemba,

Duong,

Ejdys

et al. 2024

JEM

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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How Blockchain-Enabled Drivers Stimulate Consumers’ Organic Food Purchase Intention: An Integrated Framework of Information Systems Success Model Within Stimulus-Organism-Response Theory in the Context of Vietnam

Cited by 1 publication

References 105 publications

Leveraging artificial intelligence to meet the sustainable development goals

Leveraging artificial intelligence to meet the sustainable development goals

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