| Issue |
ITM Web Conf.
Volume 83, 2026
2025 International Conference on Information Technology, Education and Management Innovation (ITEMI 2025)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/itmconf/20268301007 | |
| Published online | 10 March 2026 | |
Promotion strategies and implementation paths for green building certification system based on diffusion theory
1 Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
2 Centre for Alternative Energy Research and Development, Khon Kaen University, Khon Kaen 40002, Thailand
3 Sustainabl Infrastructure Research an Development Centre, Khon Kaen University, Khon Kaen 40002, Thailand
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Purpose: To address the lack of systematic promotion paths for green building certification systems, an analytical framework integrating social network dynamics and adaptive optimization was built to boost efficiency and cut costs. Methods: A multi-dimensional model was developed using diffusion theory, combining social network analysis, incentives, and dynamic feedback. PSO algorithm with dynamic inertia weight was adopted. Five strategies were tested with data from a Yangtze River Delta city. Results: Within 12 months, the integrated strategy had 530 certifications, 94.9% more than the traditional 272. Its unit cost was ¥33,900, 35.9% lower. Participant growth reached 84%, outperforming single strategies. Conclusion: The integrated strategy, via key node identification, graded incentives, and dynamic allocation, improved promotion effectiveness, offering a new path for the industry.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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