IDEAS home Printed from https://ideas.repec.org/a/vrs/jecman/v46y2024i1p76n1001.html
   My bibliography  Save this article

Leveraging artificial intelligence to meet the sustainable development goals

Author

Listed:
  • Ziemba Ewa Wanda

    (University of Economics in Katowice, Poland)

  • Duong Cong Doanh

    (National Economics University in Hanoi, Viet Nam)

  • Ejdys Joanna

    (Bialystok University of Technology, Poland)

  • Gonzalez-Perez Maria Alejandra

    (Universidad EAFIT, Colombia)

  • Kazlauskaitė Ruta

    (ISM University of Management and Economics, Lithuania)

  • Korzynski Pawel

    (Kozminski University, Poland)

  • Mazurek Grzegorz

    (Kozminski University, Poland)

  • Paliszkiewicz Joanna

    (Warsaw University of Life Sciences, Poland)

  • Stankevičienė Jelena

    (Vilnius University, Lithuania)

  • Wach Krzysztof

    (Krakow University of Economics, Poland)

Abstract

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 details 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’ perspective 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.

Suggested Citation

  • Ziemba Ewa Wanda & Duong Cong Doanh & Ejdys Joanna & Gonzalez-Perez Maria Alejandra & Kazlauskaitė Ruta & Korzynski Pawel & Mazurek Grzegorz & Paliszkiewicz Joanna & Stankevičienė Jelena & Wach Krzysz, 2024. "Leveraging artificial intelligence to meet the sustainable development goals," Journal of Economics and Management, Sciendo, vol. 46(1), pages 508-583.
  • Handle: RePEc:vrs:jecman:v:46:y:2024:i:1:p:76:n:1001
    DOI: 10.22367/jem.2024.46.19
    as

    Download full text from publisher

    File URL: https://doi.org/10.22367/jem.2024.46.19
    Download Restriction: no

    File URL: https://libkey.io/10.22367/jem.2024.46.19?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Muhammad Tanveer & Shafiqul Hassan & Amiya Bhaumik, 2020. "Academic Policy Regarding Sustainability and Artificial Intelligence (AI)," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lucian-Ionel Cioca & Mihaela Laura Bratu, 2020. "Sustainability of Youth Careers in Romania—Study on the Correlation of Students’ Personal Interests with the Selected University Field of Study," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    2. Muhammad Tanveer & Harsandaldeep Kaur & George Thomas & Haider Mahmood & Mandakini Paruthi & Zhang Yu, 2021. "Mobile Phone Buying Decisions among Young Adults: An Empirical Study of Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    3. Afshan Younas & Kabaly P Subramanian & Mohammed Al-Haziazi & Syed Sadullah Hussainy & Ahmed Nasser Salem Al Kindi, 2023. "A Review on Implementation of Artificial Intelligence in Education," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 1092-1100, August.
    4. Tao, Zhibin & Chao, Jiaxiao, 2024. "Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices," Innovation and Green Development, Elsevier, vol. 3(3).
    5. Nayef Shaie Alotaibi & Awad Hajran Alshehri, 2023. "Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    6. Željko Dudić & Vijoleta Vrhovac & Srđan Vulanović & Dušanka Dakić & Irma Erdeji & Veselin Perović, 2024. "A Risk-Aware Approach to Digital Procurement Transformation," Sustainability, MDPI, vol. 16(3), pages 1-19, February.
    7. Mahmood, Haider & Tanveer, Muhamamd & Ahmad, Abdul-Rahim & Furqan, Maham, 2021. "Rule of Law and Control of Corruption in Managing CO2 Emissions Issue in Pakistan," MPRA Paper 109250, University Library of Munich, Germany.
    8. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.
    9. A. Sahraoui & N.K. Tran & Y. Tliche & A. Kacem & A. Taghipour, 2023. "Examining ICT Innovation for Sustainable Terminal Operations in Developing Countries: A Case Study of the Port of Radès in Tunisia," Post-Print hal-04435475, HAL.
    10. Muhammad Tanveer & Abdul-Rahim Ahmad & Haider Mahmood & Ikram Ul Haq, 2021. "Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    11. Lyudmila Davidenko & Nurzhanat Sherimova & Saule Kunyazova & Maral Amirova & Ansagan Beisembina, 2024. "Sustainable Economy: The Eco-Branding of an Industrial Region in Kazakhstan," Sustainability, MDPI, vol. 16(1), pages 1-16, January.
    12. Zeguo Qiu & Yunhao Chen & Hao Han & Tianyu Wang, 2024. "Research on Digital Technology to Promote Low-Carbon Transformation of Manufacturing Industries Under the Perspective of Green Credit: An Evolutionary Game Theory Approach," Sustainability, MDPI, vol. 16(24), pages 1-27, December.
    13. Ahmad, Abdul-Rahim & Tasadduq, Imran A. & Imam, Muhammad Hasan & Al-Ahmadi, Mohammad Saad & Ahmad, Muhammad Bilal & Tanveer, Muhammad & Mahmood, Haider, 2021. "Intelligent Decision Support in Automating ABET Accreditation Processes: A Conceptual Framework," MPRA Paper 109151, University Library of Munich, Germany.
    14. Tanveer, Muhammad & Hassan, Shafiqul & Mahmood, Haider & Khan, Syed Abdul Rehman, 2021. "The Use of Social Media by Managers During the Pandemic to Accomplish the Tasks," MPRA Paper 109249, University Library of Munich, Germany.
    15. Aziza Usmanova & Ahmed Aziz & Dilshodjon Rakhmonov & Walid Osamy, 2022. "Utilities of Artificial Intelligence in Poverty Prediction: A Review," Sustainability, MDPI, vol. 14(21), pages 1-39, October.
    16. Govindan, Kannan & Jain, Preeti & Kr. Singh, Rajesh & Mishra, Ruchi, 2024. "Blockchain technology as a strategic weapon to bring procurement 4.0 truly alive: Literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    17. Umar Daraz & Štefan Bojnec & Younas Khan, 2024. "Synergies between Sustainable Farming, Green Technology, and Energy Policy for Carbon-Free Development," Agriculture, MDPI, vol. 14(7), pages 1-41, July.

    More about this item

    Keywords

    sustainable developmentI; SDGsI; Agenda 2030I; Artificial IntelligenceI; AI;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:jecman:v:46:y:2024:i:1:p:76:n:1001. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.