Eco positioning drives sustainable fashion consumption through process related strategies and brand familiarity

Eco positioning drives sustainable fashion consumption through process related strategies and brand familiarity

Dataset collection and experimental environment This study employs an online experiment to investigate the impact of eco-positioning strategies on consumer behavior. For participant recruitment, the research team collected data through the SoJump platform. To ensure sample representativeness and experimental validity, random sampling was used to recruit participants from the platform’s user pool. Additionally, the following…

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An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence

An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence

In order to emphasize the originality of our research, we investigate topics related to malware detection and collusion detection techniques. Specifically, in this section, we review related work in two areas: machine learning-based Android malware detection and machine learning-based Android app-collusion detection. Machine learning-based android malware detection Many studies have explored the use of machine…

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