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

2021 ◽  
Vol 13 (5) ◽  
pp. 2668
Author(s):  
Keeheon Lee

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.

Author(s):  
Pavitra Dhamija

Competent intellectual capital is one of the most essential wealth that an organization requires in the present era of cutthroat competition. Operations management is nothing but management of operational processes in every big and small organization, and such activities constitute a major chunk of all organizational activities. Therefore, the present work targets to explore the association between intellectual capital and operational excellence, review of already conducted studies in the said area, and future directions through systematic literature review process. A total number of 165 articles provided by Scopus database (2010 to 2019) is used for analysis and interpretation. Bibliometric analysis and network analysis deliver significant clusters (operations management and optimization; intellectual capital and intellectual investment; knowledge management and decision support system; strategic planning and resource allocation; sustainable operations management and performance standards; behavioural research and change management), which is in turn a novel contribution of this article. The study concludes with a proposed conceptual model and key take away for researchers, academicians, and managers.


2019 ◽  
Vol 52 (13) ◽  
pp. 457-462 ◽  
Author(s):  
Mahdi Naderi ◽  
Enrique Ares ◽  
Gustavo Peláez ◽  
Daniel Prieto ◽  
Madalena Araújo

2017 ◽  
pp. 117-126
Author(s):  
Jerry A. Carbo ◽  
Viet T. Dao ◽  
Steven J. Haase ◽  
M. Blake Hargrove ◽  
Ian M. Langella

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