The Importance of Artificial Intelligence in Green Innovation
14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings, Page: 327-332
2024
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Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Conference Paper Description
The study focuses on Artificial Intelligence's importance in developing green innovation. Artificial intelligence significantly enhances green innovation by enhancing productivity, accelerating environmentally friendly technological advancements, and facilitating better decision-making through energy optimisation, waste reduction, and smart infrastructure support. This research adopted a scoping review approach utilising the Scopus database as a source of documents. The study highlights several aspects, such as publication trend by years, publication source and context analysis. The reviews included documents published since 2021. The method section is derived from the PRISM-ScR checklist table. The highest publisher was the Business Strategy and The Environment journal, and the country with the highest publishing was China. In addition, the study recommends that more efforts should be exerted to increase companies' awareness of the importance of green innovation and the feasibility of developing green products.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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