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| Format: | Recurso digital |
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Zenodo
2024
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| Online Access: | https://doi.org/10.5281/zenodo.17484113 |
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Table of Contents:
- <p>With this dissertation, we will examine the power of artificial intelligence (A.I.) to</p> <p>monitor one's carbon footprint and its ability to change consumer behavior regarding the</p> <p>environment towards sustainable practices throughout the supply chain. Combining personal</p> <p>storytelling and an analysis of the industry with concrete data, the research seeks to answer the</p> <p>question: Can artificial intelligence track carbon footprint, and reshape consumer perception and</p> <p>behavior, promoting sustainable consumption practices in the supply chain?</p> <p>The research findings underline that consuming a product enhanced with A.I. Carbon</p> <p>tracking would make consumers more conscious of their behavior about the product in question</p> <p>due to the availability of information on the range of carbon emissions generated every time a</p> <p>product is purchased and its use over time. In addition, artificial intelligence can be incorporated</p> <p>into the business model of consumers and offer products and services for every strategic point of</p> <p>the consumers' decision-making process. Nevertheless, the purchase behavior and eventually a</p> <p>change, are determined by the population's demographic characteristics concerning the</p> <p>sustainability outcomes these applications aim at, especially concerning the cultural aspects and</p> <p>socioeconomic factors.</p> <p>This thesis advances the view that A.I.'s capacity to change people's consumption</p> <p>patterns or organizations' practices toward corporate social responsibility is feasible. However,</p> <p>technical aspects, regulation, socioeconomics, and availability will influence its progress. To this</p> <p>end, A.I. is potentially a game changer in solving the world's environmental issues by changing</p> <p>how consumption occurs today and in the future.</p>