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Employment of AI Tools in Achieving Sustainable Development Goals: Trends and Future Scope

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Proceedings of World Conference on Information Systems for Business Management (ISBM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 834))

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Abstract

The study explores the role of artificial intelligence in pursuance of sustainable development goals of business by conducting bibliometric analysis of extant literature on the topic. For bibliometric analysis, we employ SPAR-4-SLR method of systematic literature review. Year-wise, Author-wise, Citation-wise, Country-wise, Source-wise, Affiliation-wise, Sponsoring institutions-wise, and Keywords-wise listing are the parameters to identify the trend and future scope of AI in SDGs. We use Scopus database to list the extant literature. The study suggests that the future of SDG does lie with employment of AI tools and big data, green and sustainability practices, Industry 4.0, circular economy, blockchain, system dynamic approach, people, planet, and AI domain that will be explored in future. This study provides insights on current trends and the future scope of AI usage in sustainable development goals.

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References

  1. Goralski MA, Tan TK (2020) Artificial intelligence and sustainable development. Int J Manage Educ 18(1). https://doi.org/10.1016/j.ijme.2019.100330

  2. Combes B, Herweijer C, Ramchandani P, Sidhu J (2018) Fourth industrial revolution for the earth: harnessing artificial intelligence for the earth. In: World economic forum. Retrieved from https://www.pwc.com/gx/en/sustainability/assets/ai-for-the-earth-jan-2018.pdf

  3. Holzinger A, Weippl E, Tjoa AM, Kieseberg P (2021) Digital transformation for sustainable development goals (SDGS)—a security, safety and privacy perspective on AI. In: International cross-domain conference for machine learning and knowledge extraction. Cham: Springer International Publishing, pp 1–20

    Google Scholar 

  4. Vinuesa R, Azizpour H, Leite I, Balaam M, Dignum V, Domisch S, Felländer A, Fuso Nerini F (2020) The role of artificial intelligence in achieving the sustainable development goals. Nat Commun 11(1):233

    Google Scholar 

  5. Khamis A, Li H, Prestes E, Haidegger T (2019) AI: a key enabler for sustainable development goals: part 2 [industry activities]. IEEE Robot Autom Mag 26(4):122–127

    Article  Google Scholar 

  6. Bjola C (2022) AI for development: Implications for theory and practice. Oxf Dev Stud 50(1):78–90

    Article  Google Scholar 

  7. Nishant R, Kennedy M, Corbett J (2020) Artificial intelligence for sustainability: challenges, opportunities, and a research agenda. Int J Inf Manage 53:102104

    Article  Google Scholar 

  8. Kar A, Choudhary S, Singh V (2022) How can artificial intelligence impact sustainability: a systematic literature review. J Clean Prod 376:134120. https://doi.org/10.1016/j.jclepro.2022.134120

  9. Ahmad T, Zhang D, Huang C, Zhang H, Dai N, Song Y, Chen H (2021) Artificial intelligence in sustainable energy industry: status Quo, challenges and opportunities. J Clean Prod 289. https://doi.org/10.1016/j.jclepro.2021.125834

  10. Schoormann T, Strobel G, Möller F, Petrik D, Zschech P (2023) Artificial intelligence for sustainability—a systematic review of information systems literature. Commun Assoc Inf Syst 52. https://doi.org/10.17705/1CAIS.05209

  11. Paul J, Lim WM, O’Cass A, Hao AW, Bresciani S (2021) Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). Int J Consum Stud 45(4):O1–O16

    Article  Google Scholar 

  12. Allam Z, Dhunny ZA (2019) On big data, artificial intelligence and smart cities. Cities 89:80–91. https://doi.org/10.1016/j.cities.2019.01.032

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Jindal Global Business School, O. P. Jindal Global University, Sonipat, India

    Swati Sharma

Authors
  1. Swati Sharma
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Corresponding author

Correspondence to Swati Sharma .

Editor information

Editors and Affiliations

  1. University of Cantabria, Santander, Spain

    Andres Iglesias

  2. University of Aizu, Fukushima, Japan

    Jungpil Shin

  3. Knowledge Chamber of Commerce and Industry, Ahmedabad, Gujarat, India

    Bharat Patel

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, S. (2024). Employment of AI Tools in Achieving Sustainable Development Goals: Trends and Future Scope. In: Iglesias, A., Shin, J., Patel, B., Joshi, A. (eds) Proceedings of World Conference on Information Systems for Business Management. ISBM 2023. Lecture Notes in Networks and Systems, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-99-8349-0_28

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