Prediction of consumers' pro-environmental behavior based on artificial intelligence

Yan Wang; Shengxiang She

doi:10.1117/12.2631547

18 March 2022 Prediction of consumers' pro-environmental behavior based on artificial intelligence

Yan Wang, Shengxiang She

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 1216823 (2022) https://doi.org/10.1117/12.2631547
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

At present, scholars have studied the spillover effect of pro-environmental behavior, but its mechanism is not clear. This study records, identifies, analyzes and compares consumer behavior data through artificial intelligence model to predict the possibility of consumers' subsequent pro-environmental behavior. It is found that the spillover effect of pro-environmental behavior is also affected by cost adjustment variables, which provides practical guidance for the promotion of pro-environmental behavior.

Citation Download Citation

Yan Wang and Shengxiang She "Prediction of consumers' pro-environmental behavior based on artificial intelligence", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 1216823 (18 March 2022); https://doi.org/10.1117/12.2631547

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