A systematic review on social sustainability of artificial intelligence in product design

Research output: Contribution to journalReview articlepeer-review

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 intelli-gence.

Original languageEnglish
Article number2668
Pages (from-to)1-29
Number of pages29
JournalSustainability (Switzerland)
Volume13
Issue number5
DOIs
Publication statusPublished - 2021 Mar 1

Bibliographical note

Funding Information:
Funding: This research was funded by the Korean Ministry of Education through National Research Foundation of Korea, grant number NRF-2017R1C1B1010094; by Yonsei University through Yonsei Future-leading Research Initiative, grant number 2017-22-0067; by AI-Factory Research Center, Urban Communication Center, and Design Thinking Research Center in ICONS (Institute of Convergence Science), Yonsei University.

Publisher Copyright:
© 2021 by the author. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law

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