Consumers’willingness to engage in green consumption behavior will be guided by internal psychological factors and also influenced by external environmental factors.One of the most common external interventions is th...Consumers’willingness to engage in green consumption behavior will be guided by internal psychological factors and also influenced by external environmental factors.One of the most common external interventions is the issuance of scientific policies and regulations.The government may introduce policies and regulations that help to increase the willingness of green consumption behavior,such as energy-saving and emission reduction policies and policies to restrict plastic products.In this paper,the authors study the mechanism of the effect of environmental attitudes on consumers’willingness to engage in green consumption behavior from the perspective of“plastic restriction”,and conclude that the magnitude of the effect of policies and regulations on the willingness to engage in green consumption behavior varies significantly at different levels of environmental attitudes.This study provides scientific implementation ideas and targeted management suggestions for the government to formulate effective external intervention policies for green consumption.展开更多
With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as rando...With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.展开更多
基金This research is funded by the National Social Science Foundation of China(19BJY208).
文摘Consumers’willingness to engage in green consumption behavior will be guided by internal psychological factors and also influenced by external environmental factors.One of the most common external interventions is the issuance of scientific policies and regulations.The government may introduce policies and regulations that help to increase the willingness of green consumption behavior,such as energy-saving and emission reduction policies and policies to restrict plastic products.In this paper,the authors study the mechanism of the effect of environmental attitudes on consumers’willingness to engage in green consumption behavior from the perspective of“plastic restriction”,and conclude that the magnitude of the effect of policies and regulations on the willingness to engage in green consumption behavior varies significantly at different levels of environmental attitudes.This study provides scientific implementation ideas and targeted management suggestions for the government to formulate effective external intervention policies for green consumption.
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Korea government(MSIT)(2020R1A4A1018774)。
文摘With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.