The rapidly expanding cannabis café and restaurant industry in the USA remains under-researched. This study used text mining techniques on 5243 YouTube reviews to examine the overall sentiment toward cannabis-infused food and beverages (C-IF&B). The findings revealed a mix of positive and negative perceptions, which underscore the complexity of reviewer opinions. We integrated the protection motivation theory (PMT) and the value-attitude-behavior model to examine the formation of intentions to consume C-IF&B. The key attributes that are related to rewards, threats, and attitudes toward C-IF&B consumption were identified using term frequency-inverse document frequency (TF-IDF), and they were incorporated into the PMT. An analysis of the data from 331 USA adults then showed that other PMT constructs significantly influenced attitudes except for the likelihood of addiction, self-efficacy, and perceived legal consequences, which in turn predicted the intentions to consume C-IF&B. The aesthetic value of C-IF&B was additionally positively associated with attitudes. Practical implications are included for public administrators and industry practitioners.
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