• Journal of Internet Computing and Services
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• v.25 no.5
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• pp.141-152
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• 2024

With the continuous emergence of green fresh agricultural products in today's consumer market and the rise of live streaming platforms as an emerging sales channel.The rise of green fresh agricultural products and live streaming as a sales channel has spurred interest in how live streaming strategies impact consumer purchase intentions. This study examines the effects of interactivity, professionalism, usability, and sustainability in live streaming on green purchase intentions, with a focus on the mediating role of perceived environmental debt. Regression analysis of 660 questionnaires revealed that interactivity (β=0.310, p<0.001), professionalism (β=0.268, p<0.001), usability (β=0.250, p<0.001), and sustainability (β=0.305, p<0.001) significantly positively affect green purchase intentions. Perceived environmental debt partially mediated the effects of interactivity (β=0.137, p=0.005), professionalism (β=0.224, p<0.001), and usability (β=0.131, p=0.005), but not sustainability (β=0.112, p=0.029). The results suggest that enhancing interactivity, professionalism, and usability in live streaming can promote green consumption by fostering environmental responsibility. It is also recommended to improve green infrastructure and policies to encourage sustainable living habits.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.611-611
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• 2015

One of the hazard of nature is a drought. Its impact varies from region to region and it is difficult for people to understand and define due to differences in hydrometeorological and social economic aspects across much of the country. In the most general sense, drought originates from a deficiency of precipitation over an extended period of time, usually month, season or more, resulting in a water shortage for some activity, group, or environmental sector. Palmer Drought Severity Index (PDSI) is well known and has been used to study aridity changes in modern and past climates. The PDSI index is estimated over US using USHCN historical data.(e.g. precipitation, temperature, latitude and soil moisture). In this study, low frequency drought variability associated with climate variability such as El-Nino and ENSO is mainly investigated. With respect to the multi-scale analysis, wavelet transform analysis is applied to the PDSI index in order to extract the low frequency band corresponding to 2-8 years. Finally, low frequency patterns associated with drought by comparing global wavelet power, with significance test are explored.