[HTML][HTML] Smart cities and sustainable development goals (SDGs): A systematic literature review of co-benefits and trade-offs

A Sharifi, Z Allam, SE Bibri, AR Khavarian-Garmsir - Cities, 2024 - Elsevier
Despite the wealth of research on smart cities, there is a lack of studies examining
interlinkages between smart cities and Sustainable Development Goals (SDGs). In other …

The contribution of data-driven technologies in achieving the sustainable development goals

N Bachmann, S Tripathi, M Brunner, H Jodlbauer - Sustainability, 2022 - mdpi.com
The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and develo** countries by covering social and …

Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

R Agrawal, A Majumdar, K Majumdar… - … Strategy and the …, 2022 - Wiley Online Library
Sustainable development goals (SDGs), adopted by the United Nations in 2015, are gaining
importance in all the industrial sectors. The attainment of SDGs will lead to simultaneous …

Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions

D Kumar, RK Singh, R Mishra… - International Journal of …, 2024 - Taylor & Francis
Supply chain decarbonisation has become a strategic requirement in the era of a net-zero
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …

Organisational responses to the ethical issues of artificial intelligence

BC Stahl, J Antoniou, M Ryan, K Macnish, T Jiya - Ai & Society, 2022 - Springer
The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous
initiatives that aim to develop the principles and guidance to ensure that the development …

Making AI explainable in the Global South: A systematic review

CT Okolo, N Dell, A Vashistha - Proceedings of the 5th ACM SIGCAS …, 2022 - dl.acm.org
Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …

Exploring student perspectives on generative artificial intelligence in higher education learning

D Baidoo-Anu, D Asamoah, I Amoako, I Mahama - Discover Education, 2024 - Springer
This study examined the perspectives of Ghanaian higher education students on the use of
ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated …

[HTML][HTML] Acknowledging sustainability in the framework of ethical certification for AI

S Genovesi, JM Mönig - Sustainability, 2022 - mdpi.com
In the past few years, many stakeholders have begun to develop ethical and trustworthiness
certification for AI applications. This study furnishes the reader with a discussion of the …

[HTML][HTML] Towards Scientists and Researchers Classification Model (SRCM)-based machine learning and data mining methods: An ISM-MICMAC approach

AY Noaman, AAA Gad-Elrab, AM Baabdullah - Journal of Innovation & …, 2024 - Elsevier
This study introduces an innovative automated model, the Scientists and Researchers
Classification Model (SRCM), which employs data mining and machine-learning techniques …

[HTML][HTML] How are smart city policies progressing in Italy? Insights from SDG indicators

R Barbieri, B Coluccia, F Natale - Land Use Policy, 2025 - Elsevier
With the rise of global urbanization, cities encounter considerable socioeconomic and
environmental challenges embodied in the 17 Sustainable Development Goals (SDGs) of …