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Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting

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Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting. / Nahar, S.
In: Technological Forecasting and Social Change, Vol. 201, 123203, 30.04.2024.

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Nahar S. Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting. Technological Forecasting and Social Change. 2024 Apr 30;201:123203. Epub 2024 Jan 17. doi: 10.1016/j.techfore.2023.123203

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Bibtex

@article{171ebef2de4d4c239136a1177cb88f32,
title = "Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting",
abstract = "Global environmental outcomes, productivity, inclusion, and equality aspects are already beginning to be impacted by artificial intelligence (AI), both immediately and over time. AI is expected to have both beneficial and detrimental effects on Sustainable Development Goals (SDGs). Nevertheless, there is a lacuna in the literature regarding systematically forecasting `AI's impact on different facets of SDGs over time in various countries. Moreover, though existing literature has reported a correlation between AI and innovation, no prior studies have forecast the influence of AI-based innovation on SDG Outcomes. To fill these significant research gaps, this study forecasts the impact of AI-based innovation on achieving SDGs over nine years, extending from 2022 to 2030 in 22 countries (including both developed and developing countries) across five continents via system dynamics modeling-based simulation and grounded in Institutional Theory (Technology Enactment Framework). The findings exhibit varying impacts on different SDGs. This study enriches the AI, innovation, and sustainable development literature by providing forecasts of the intricate relationship between AI, innovation, and SDGs, thereby offering valuable insights to the reader.",
keywords = "System dynamics, Artificial intelligence (AI), Innovation, Sustainable development goals (SDGs), Cross-country study, Institutional theory, Technology enactment framework",
author = "S. Nahar",
year = "2024",
month = apr,
day = "30",
doi = "10.1016/j.techfore.2023.123203",
language = "English",
volume = "201",
journal = "Technological Forecasting and Social Change",
issn = "0040-1625",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs)

T2 - Applying a system dynamics perspective in a cross-country setting

AU - Nahar, S.

PY - 2024/4/30

Y1 - 2024/4/30

N2 - Global environmental outcomes, productivity, inclusion, and equality aspects are already beginning to be impacted by artificial intelligence (AI), both immediately and over time. AI is expected to have both beneficial and detrimental effects on Sustainable Development Goals (SDGs). Nevertheless, there is a lacuna in the literature regarding systematically forecasting `AI's impact on different facets of SDGs over time in various countries. Moreover, though existing literature has reported a correlation between AI and innovation, no prior studies have forecast the influence of AI-based innovation on SDG Outcomes. To fill these significant research gaps, this study forecasts the impact of AI-based innovation on achieving SDGs over nine years, extending from 2022 to 2030 in 22 countries (including both developed and developing countries) across five continents via system dynamics modeling-based simulation and grounded in Institutional Theory (Technology Enactment Framework). The findings exhibit varying impacts on different SDGs. This study enriches the AI, innovation, and sustainable development literature by providing forecasts of the intricate relationship between AI, innovation, and SDGs, thereby offering valuable insights to the reader.

AB - Global environmental outcomes, productivity, inclusion, and equality aspects are already beginning to be impacted by artificial intelligence (AI), both immediately and over time. AI is expected to have both beneficial and detrimental effects on Sustainable Development Goals (SDGs). Nevertheless, there is a lacuna in the literature regarding systematically forecasting `AI's impact on different facets of SDGs over time in various countries. Moreover, though existing literature has reported a correlation between AI and innovation, no prior studies have forecast the influence of AI-based innovation on SDG Outcomes. To fill these significant research gaps, this study forecasts the impact of AI-based innovation on achieving SDGs over nine years, extending from 2022 to 2030 in 22 countries (including both developed and developing countries) across five continents via system dynamics modeling-based simulation and grounded in Institutional Theory (Technology Enactment Framework). The findings exhibit varying impacts on different SDGs. This study enriches the AI, innovation, and sustainable development literature by providing forecasts of the intricate relationship between AI, innovation, and SDGs, thereby offering valuable insights to the reader.

KW - System dynamics

KW - Artificial intelligence (AI)

KW - Innovation

KW - Sustainable development goals (SDGs)

KW - Cross-country study

KW - Institutional theory

KW - Technology enactment framework

U2 - 10.1016/j.techfore.2023.123203

DO - 10.1016/j.techfore.2023.123203

M3 - Journal article

VL - 201

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

SN - 0040-1625

M1 - 123203

ER -