A Bibliometric Analysis of Key Drivers, Trends, and Research Collaboration on environmental degradation DOI
Anshita Sachan, Ashis Kumar Pradhan,

Vinita Mohindra

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

The Role of AI in Sustainable Business Practices and Reporting in Emerging Economies DOI
Imaobong Judith Nnam,

Marian Mukosolu Okobo,

Joshua Damilare Olaniyan

и другие.

Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 310 - 340

Опубликована: Авг. 19, 2024

This study investigates artificial intelligence and how it can be leveraged upon in order to re-engineer existing business models, towards achieving sustainable development goals. The analysed factors necessary ensure an assisted model innovation provide a framework for businesses emerging economies. A systematic literature review of is undertaken using the Scopus database. Filtering processes are employed arrive at 94 journal articles. adopts PRISMA protocol allow comprehensive disclosure process. process resulted thematic areas which provided that guided study. Case studies were also undertaken, qualitative manner capture perceptions experiences as well problems associated with leveraging innovation. research output includes recommendation policy implication.

Язык: Английский

Процитировано

0
Digital intelligence and synergy of pollution reduction and carbon reduction: “Dividend” or “gap”? DOI Creative Commons
Jiajia Li,

Xianfeng Han,

Tonglei Zhang

и другие.

Chinese Journal of Population Resources and Environment, Год журнала: 2024, Номер 22(4), С. 389 - 398

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0
ITS-AI Integration: Enhanced Strategies for Mitigating Urban Traffic Congestion DOI

P. Santhiya,

Immanuel Johnraja Jebadurai, Getzi Jeba Leelipushpam Paulraj

и другие.

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

0
Innovative Tools to Contrast Traffic Pollution in Urban Areas: A Review of the Use of Artificial Intelligence DOI Open Access
Angelo Robotto,

Cristina Bargero,

Luca Marchesi

и другие.

Air, Год журнала: 2024, Номер 2(4), С. 402 - 418

Опубликована: Ноя. 30, 2024

Overtraffic is one of the main keys to air pollution in urban areas. The aim present work review approaches and explore potentiality AI reducing traffic areas, ranging over three areas: optimization lights timing reduce delays, use AI-powered drones monitor levels real-time, fixed AI-based sensors detect pollutants with models identify patterns collected data predict quality near-real time. Some attention was also dedicated possible problems arising from privacy protection security, case study Piemonte area city Turin north–west Italy presented: current situation depicted, local future applications are explored. has proven be very promising all particularly field lights’ coordination increasingly larger networks.

Язык: Английский

Процитировано

0
A Bibliometric Analysis of Key Drivers, Trends, and Research Collaboration on environmental degradation DOI
Anshita Sachan, Ashis Kumar Pradhan,

Vinita Mohindra

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0