An enormous volume of electronic waste (e-waste) is currently being generated in Vietnam, threatening to render this country as an e-waste dumping region. Although the residents play an indispensable role in the e-waste management system, there is presently no or very limited studies available which involve public perceptions on the e-waste recycling in Vietnam. In this study, based on the theory of planned behavior (TPB), the structural equation modeling (SEM) was employed to examine the key factors influencing e-waste recycling behavioral intention of residents in Danang city, Vietnam. Data analyzed from 520 questionnaires revealed that environmental awareness and attitude toward recycling, social pressure, laws and regulations, cost of recycling, and inconvenience of recycling significantly directly affected residents’ behavioral intention, with laws and regulations being the strongest construct significantly to predict individuals’ intention. Of the five above-listed constructs, only inconvenience of recycling had a negative impact on residents’ recycling behavioral intention. Moreover, past experience showed the statistically significant negative effect on the inconvenience of recycling while it had no significant impact on behavioral intention. The influences of demographic variables on recycling behavioral intention were also discussed in this paper. The findings from this research may help policy-makers have a better understanding of residents’ e-waste recycling intention. That is very useful in paving the way for a successful e-waste recycling and management system not only in Vietnam, but also in other countries which are suffering from the same problems of e-waste.

The development of community ecotourism will require the integration of experience, culture, and information for management decision-making. We use a choice experiment to build a community ecotourism preference model incorporating aspects of profound experience and economics in a forest park, test the tourists’ heterogeneity by using a random parameter logit model, and estimate the values of various community ecotourism programs. The empirical results reveal that: (1) Tourists’ preferences for community ecotourism will increase with the inclusion of a mini tour, experiential activities, and the opportunities to taste local dishes and stay at a distinctive bed & breakfast (B&B); (2) The variety of tourists’ social backgrounds and recreational experiences resulted in the heterogeneity of the attributes; (3) The best combinations regarding community ecotourism were a small group size, profound or in-depth experiences, and experiential activities in a forest park. This pilot study generates useful information by demonstrating possible community ecotourism programs in the forest park, along with suggestions for a quality improvement program.