An Updated Consumer Decision-making Model to Tackle Climate Change
Abstract
Tapping into excessive consumption and climate change, this study introduces an updated consumer decision-making model to optimize purchases. By doing so, negative outcomes of excessive consumption on the climate change could be minimized. This theoretical research is informed by the traditional five stage decision-making model and related literature including artificial intelligence, excessive consumption, and climate change. In order to tackle harmful impact of the climate change, the research proposes an updated consumer decision-making model adopting Artificial Intelligence applications to prevent unnecessary purchases. There is not any known study observing the relationship between AI applications, consumer decision-making process, and climate change at macro level. By filling this gap in the literature, the current study aims to create an overall direction for future research. On the other hand, the main limitation of the research is the lack of empirical evidence. Hence further empirical studies are needed to test proposed model for validation.
Keywords
artificial intelligence, climate change, customer behaviour, consumer decision making process
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