음식물 쓰레기 감소를 위한 친환경 AI 푸드스캐너에 관한 연구:잠재적 소비자의 심리적 혜택을 중심으로 = A Study on the Eco-Friendly AI Food Scanner for Food Waste Reduction: Focusing on the Psychological Benefits of Potential Consumers

다국어 초록 (Multilingual Abstract)

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다국어 초록 (Multilingual Abstract)

Recently, the number of consumers who prefer eco-friendliness due to global environmental pollution has been increasing, and AI food scanners have been developed based on artificial intelligence and big data to reduce food waste, the main culprit of environmental pollution. However, there is no existing research on eco-friendly AI food scanners. Therefore, this study attempted to propose how the sub-factors of the eco-friendly psychological benefits of AI food scanners are divided into warm glow, natural experience, and self-expression benefits and affect the image drawn. Furthermore, a hypothesis was established on how the green image affects word of mouth intention and additional cost payment intention. A total of 302 samples collected through online surveys were tested using AMOS 23.0. As a result of the study, the warm glow and self-expression benefits of psychological benefit factors have a positive effect on green images, and green images have a positive effect on word of mouth intention and additional cost payment intention. Unlike previous studies, this study was the first to confirm the relationship between eco-friendly psychological benefits and green images in the field of AI food scanners, which is expected to suggest academic expansion. It also suggested that the public's interest and participation should be induced by acting as a warm glow among eco-friendly psychological benefit factors, such as green influencers.

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