The Proclivity of Green Communication for Logistics Industry: A Framework

Aziz, Tengku Nurul Aishah Tengku; Sharifuddin, Shahirah; Shariff, S. Sarifah Radiah

doi:10.1007/978-3-031-08093-7_46

Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success

2022

DOI: 10.1007/978-3-031-08093-7_46

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The Proclivity of Green Communication for Logistics Industry: A Framework

Tengku Nurul Aishah Tengku Aziz

Shahirah Sharifuddin

S. Sarifah Radiah Shariff

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2024

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“…In green technology innovation research, GCNs can be used to analyze complex relationships between enterprises, industries, or regions to understand the spread and impact paths of green technology investments (Lan et al, 2022). This is valuable for an in-depth understanding of the cooperation and competition relationships between enterprises and the diffusion mechanism of green technology innovation (Aziz et al, 2021).…”

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confidence: 99%

Application of Compound Neural Networks to Classifying Corporate Green Technology Investments

Dong,

Asif

2024

Journal of Organizational and End User Computing

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In the current context of sustainable development and environmental protection issues, enterprises are paying more and more attention to green technology innovation. For this purpose, we introduced a composite neural network model, including the Siamese Network, Temporal Convolutional Networks (TCN) and Random Forests technology. First, the Siamese Network is used to measure the green technology investment similarities between enterprises to better understand the connections between them. Second, Temporal Convolutional Networks (TCN) are applied to process time series data to capture the time evolution trend of green technology investment. Finally, we use Random Forests technology to integrate the output of the Siamese Network and TCN to classify enterprises. Experimental results show that our method is effective in green technology investment classification and financial performance prediction, can more accurately assess the financial performance of enterprises, and can also help enterprises better understand the effects of their green technology investments.

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confidence: 99%

Application of Compound Neural Networks to Classifying Corporate Green Technology Investments

Dong,

Asif

2024

Journal of Organizational and End User Computing

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The Proclivity of Green Communication for Logistics Industry: A Framework

Cited by 1 publication

References 38 publications

Application of Compound Neural Networks to Classifying Corporate Green Technology Investments

Application of Compound Neural Networks to Classifying Corporate Green Technology Investments

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