Many studies have investigated the impact of celebrity endorsers on consumers’ purchase intention. None, however, has studied the effects of an association endorsement. This research examined the effect of the Professional Rodeo Cowboys Association’s (PRCA) endorsement of products on consumers’ purchase intentions. Survey data were collected from 1,456 respondents attending six rodeos across the USA. Binary logit regression revealed that individuals who attended rodeo frequently and those with less than a college degree were the most likely to accept the association endorsement. The findings are explained within the social influence framework.
This study examines determinants of residents' support for a curbside textile-recycling policy in southern Nevada. Based on the existing solid-waste recycling behavior literature and 817 responses to a mail survey of the residents, a model for support of curbside textile-recycling policy is developed. The model is empirically tested, using univariate analyses such as chi-square tests and student t tests and multivariate analysis using binary logit regression. Results from the univariate analyses indicate that the likelihood of support for a curbside textile-recycling policy is significantly influenced by regular waste-recycling habits, political affiliation, family size, minority status, home ownership, and income. Results from the binary logit regression analysis indicate that (a) current waste-recycling behavior is a good predictor of support for a curbside textile-recycling policy, and (b) the importance of recycling habits is manifested by its impact on the effect of political affiliation on support for a policy.
This paper uses a large sample of survey data to investigate the empirical determinants of coupon usage. The broad set of control variables allows for comparisons of the relative importance of individual determinants and groups of determinants. We find that the set of variables measuring consumer shopping habits and attitudes explains more of the variation in coupon usage across households than the group of socioeconomic and demographic variables. However, the latter variables are jointly significant, and their estimated coefficients have the expected signs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.