Description
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.
Author ORCID Identifier
Jared Hansen https://orcid.org/0000-0003-1593-5418
Document Type
Dataset
DCMI Type
Dataset
File Format
.csv
Publication Date
9-5-2023
Publisher
Utah State University
Methodology
The researchers used an online survey questionnaire in Qualtrics during May to June 2023. The data file contains the answers from the 900 consumers who filled out the survey.
The authors used structural equation modeling software (SMARTPLS 4.0) to analyze the data in the research paper.
Start Date
5-2023
End Date
6-2023
Language
eng
Code Lists
See README.
Disciplines
Marketing | Strategic Management Policy
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
https://doi.org/10.26078/883a-4a4a
Recommended Citation
Hansen, J., Christensen, J., & Wilson, P. (2023). Technology Acceptance Model(TAM) and AI Hallucination Survey Dataset [Data set]. Utah State University. https://doi.org/10.26078/883A-4A4A
Checksum
2ad116b0b8a65ce018d3aadf4e8f9083
Additional Files
AI and TAM tourism dataset from survey research paper.csv (92 kB)md5: 11620d716f9131307804974300f2f447
README_AI_TAM.txt (2 kB)
md5: 8265542b54bf557fc1a9552b19903cac