This study aims to analyze pro-environmental behavior that is influenced by perceived behavioral control, subjective norms, environmental attitude, and intention. This research is based on the Theory of Planned Behavior. This study uses students as respondents because students are young people who are most responsible for environmental preservation both now and in the future. Higher education is also often the foundation for various student social movements when it comes to values and pro-environment associations. This research was conducted to address empirical issues related to the relationship between attitudes to pro-environmental behavior which is still being debated. This argument becomes an important basis for analyzing the level and relationship of pro-environmental behavior and students' attitudes towards environmental sustainability. The intention is the influencer's biggest for the behavior of pro-environmental students, but not all research yields the same answer depending on the behavior and case, as well as the pro-environment attitude. This study used 250 student respondents. The data analysis tool used is PLS-SEM 3.2.8. The results of this study explain that pro-environmental behavior can be influenced by perceived behavioral control and intention to behave pro-environment. Also, the results of this study showed that perceived behavioral control, subjective norms, and attitudes also affect intention.
This study aims to analyze the model of social media adoption in SMEs tourism in Special Region of Yogyakarta, with antecedents’ managers innovativeness, pressure from competitors, barrier to adoption, Perceived Usefulness (PU), Perceived Ease of Use (PEU) and attitude. Two theoretical approaches are used, namely Technology Acceptance Model and Technology-organization-environment (TOE) models. This research is a survey research. Respondents in this study are managers of SMEs tourism. The social media adoption model was tested empirically using 200 respondents. Structural Equation Model is used to analyze research data. This study analyzes the social media adoption of tourism SMEs in developing countries, because although there are many studies on social media adoption in developing countries, very few focus on social media adoption in the small-scale tourism industry. This research integrates TAM and TOE in exploring the adoption of social media marketing on SMEs tourism by adding a barrier to adoption. The results of this study indicate that the TAM model combined with TOE supports the social media adoption model. Most of the variables studied were largely significant, but this study could not justify the influence of barriers on social media adoption.
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