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Technology Acceptance Model(Tam) And Ai Hallucination Survey Dataset, Jared Hansen, Jeff Christensen, Paul Wilson
Technology Acceptance Model(Tam) And Ai Hallucination Survey Dataset, Jared Hansen, Jeff Christensen, Paul Wilson
Browse all Datasets
This dataset came from the research paper “Understanding the antecedents, advantages, and mistakes of technology adoption of Artificial Intelligence (AI) within consumers’ tourism decision-making processes” coauthored by the researchers. The project examines the integration of elements from the technology acceptance model, theory of planned behavior, and three new variables (AI prior general usage, AI familiarity, and AI hallucination potential) to prediction behavioural intention to use AI (ChatGPT) in making future tourism decisions.
Lodging Analysis For Glimmerglass Opera Patrons, Andrea Busby
Lodging Analysis For Glimmerglass Opera Patrons, Andrea Busby
Undergraduate Honors Capstone Projects
Thousands of people travel to the small town of Cooperstown, New York each summer to see the Baseball Hall of Fame and Glimmerglass Opera. With so many visitors to this small town in New York’s Center Leather-stocking area, it is often difficult to find proper lodging. This paper presents the problems visitors face in locating lodging, discusses the process of determining what lodging options are available, and then describes a study undertaken to investigate opera patrons’ perceptions of lodgings while attending the festival. The paper concludes with results and marketing implications for Glimmerglass Opera.