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A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design

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  • Keeheon Lee

    (Creative Technology Management, Underwood International College, Yonsei University, Incheon 21983, Korea)

Abstract

Emerging technologies such as artificial intelligence help operations management achieve sustainability. However, in sustainable operations management studies, scholars pay less attention to product design, which can be highly affected by artificial intelligence. In addition, sustainability is perceived as maintaining economic development while limiting environmental harm caused by human activity. Therefore, social sustainability is treated as peripheral compared to economic and environmental sustainability. However, social sustainability now has gained more attention because it is the basis on which meaningful economic and environmental sustainability can be valid. Thus, I systematically reviewed present studies on product design considering artificial intelligence to understand what types of social sustainability are achieved when applying artificial intelligence to product design. This study discovered artificial intelligence can improve social sustainability in product design, but social sustainability diversity is necessary. These findings can contribute to the inclusion of different types of social sustainability in product design when using artificial intelligence.

Suggested Citation

  • Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2668-:d:509021
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    1. Salvador, F. & Forza, C., 2004. "Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities," International Journal of Production Economics, Elsevier, vol. 91(3), pages 273-291, October.
    2. Cai, Ya-Jun & Choi, Tsan-Ming, 2020. "A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. X Wang & H K Chan & L White, 2014. "A comprehensive decision support model for the evaluation of eco-designs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 917-934, June.
    4. Lucia Corsini & James Moultrie, 2019. "Design for Social Sustainability: Using Digital Fabrication in the Humanitarian and Development Sector," Sustainability, MDPI, vol. 11(13), pages 1-20, June.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    6. Cruz, Jose M. & Wakolbinger, Tina, 2008. "Multiperiod effects of corporate social responsibility on supply chain networks, transaction costs, emissions, and risk," International Journal of Production Economics, Elsevier, vol. 116(1), pages 61-74, November.
    7. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    8. Min Song & SuYeon Kim & Keeheon Lee, 2017. "Ensemble analysis of topical journal ranking in bioinformatics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1564-1583, June.
    9. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    10. Gimenez, Cristina & Sierra, Vicenta & Rodon, Juan, 2012. "Sustainable operations: Their impact on the triple bottom line," International Journal of Production Economics, Elsevier, vol. 140(1), pages 149-159.
    11. Jeffrey D. Sachs & Guido Schmidt-Traub & Mariana Mazzucato & Dirk Messner & Nebojsa Nakicenovic & Johan Rockström, 2019. "Six Transformations to achieve the Sustainable Development Goals," Nature Sustainability, Nature, vol. 2(9), pages 805-814, September.
    12. Keeheon Lee & Hyojung Jung & Min Song, 2016. "Subject–method topic network analysis in communication studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1761-1787, December.
    13. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    14. Yuanzhu Zhan & Kim Hua Tan & Baofeng Huo, 2019. "Bridging customer knowledge to innovative product development: a data mining approach," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6335-6350, October.
    15. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    16. Xiaoge Zhang & Felix T.S. Chan & Andrew Adamatzky & Sankaran Mahadevan & Hai Yang & Zili Zhang & Yong Deng, 2017. "An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 244-263, January.
    17. Wang, Xiaojun & Chan, Hing Kai & Li, Dong, 2015. "A case study of an integrated fuzzy methodology for green product development," European Journal of Operational Research, Elsevier, vol. 241(1), pages 212-223.
    18. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
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    1. Christian Spreafico & Agung Sutrisno, 2023. "Artificial Intelligence Assisted Social Failure Mode and Effect Analysis (FMEA) for Sustainable Product Design," Sustainability, MDPI, vol. 15(11), pages 1-16, May.
    2. Maryam Jamilah Asha’ari & Salina Daud & Norazah Mohd Suki, 2023. "Linking Sustainable Design and Social Sustainability Performance of Chemical Manufacturing Firms: Moderating Role of Islamic Work Ethics," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    3. Sabin-Alexandru Babeanu & Turcan Cristian Dragos & Rapan Claudia Mihaela & Banta Viorel Costin, 2023. "Fusion Between Artificial Intelligence And Automotive Sales Market," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 213-218, February.

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