This study examined the gap between the consumers' subjective propensity to engage in sustainable consumption and their actual behavior to develop an understanding of the consumers' practical contribution to sustainable development. This study examined the gaps between the consumers' subjective propensity to hold sustainable consumption attitudes or beliefs and their practical behavior by focusing on the value consumers assign to sustainable consumption while engaging in such behavior. Additionally, the effects of the consumers' social relationships and civic participation on sustainable consumption and the propensity-behavior gap were investigated. Survey data were collected by a professional market research organization from 422 panel consumers. The results indicate that functional value influences actual behavior, while subjective propensity is affected by emotional and altruistic values, as well as by functional value. Bridging social capital negatively affects actual practice of sustainable consumption, whereas the consumers' civic roles have the opposite effect.Finally, the gap between propensity and actual behavior is more likely to occur when consumers are led by emotional and altruistic values of sustainable consumption.

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This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.