Analysis of Customer Usage Intention of Artificial Intelligence Veterinary Drug Consultation System in Southwest China
Abstract
The number of pets waiting to be examined often limits the time available for veterinary visits; therefore, one veterinary visit would usually not be enough to consult on every trip to veterinary service, especially under the current pandemic crisis. This study used the study model of a new artificial intelligence veterinary drug consultation system by the latest technology of AI in serving pet owners in Southwest China. The technology acceptance model (TAM) for testing pet owners’ perception of usage intention was developed through perceived accuracy, integrity, ease of use, convenience, and customer satisfaction. The objectives of the impact of the new artificial intelligence veterinary drug system, the relationship between influencing factors and pet owner usage intention, and the proposal of consultation service improvement were studied through five hypotheses of relationship investigation.References
["[1] Pavlou, P. et al. (2007). An Integrative Model of Mobile Commerce Adoption. Journal of Information System. Vol 7, p.12-25.","[2] Katy, K. et al. (2021) The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review. Biomedical Signal Processing and Control. Vol 72, p 112-123.","[3] Valerie, R. et al. (2021). Conversational commerce: Do biased choices offered by voice assistantsu2019 technology constrain its appropriation? Technological Forecasting and Social Change. Vol 174, p.123-135.","[4] Huang, D. and Chueh, H. (2021). Chatbot usage intention analysis: Veterinary consultation. Journal of Innovation. Vol 6 Issue 3, p.135-144. ","[5] Fishbein, A and Ajzen, I. (1975), A Bayesian analysis of attribution processes. Psychological Bulletin. Vol 82(2), p.261u2013277.","[6] Abdullah, F. and Ward, R. (2016). Investigating the influence of the most commonly used external variables of TAM on studentsu2019 Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behaviour. Vol 63, p.75-90."]
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