Research Article
Bayesian Model Algorithm for Selection and Classification of Product
@INPROCEEDINGS{10.4108/eai.12-11-2022.2327382, author={Bui Huy Khoi}, title={Bayesian Model Algorithm for Selection and Classification of Product }, proceedings={Proceedings of the 2nd Multidisciplinary International Conference, MIC 2022, 12 November 2022, Semarang, Central Java, Indonesia}, publisher={EAI}, proceedings_a={MIC}, year={2023}, month={2}, keywords={buying decision; products; bayesian}, doi={10.4108/eai.12-11-2022.2327382} }- Bui Huy Khoi
Year: 2023
Bayesian Model Algorithm for Selection and Classification of Product
MIC
EAI
DOI: 10.4108/eai.12-11-2022.2327382
Abstract
The goal of this research is to determine the best model for trademark, nutrition, price, packaging design, product flavor, utility, convenience, marketing, and safety while making a purchase decision in Vietnam. Quantitative research was used to implement the method. Consumers in Ho Chi Minh City, Vietnam, eat soursop products regularly, according to the data. For statistical analysis, we used R 4.0.2. The findings of this study show that product flavor, safety, nutrition, and convenience had a significant and positive impact on purchasing decisions for soursop goods (39.2%). The purchasing decision is unaffected by trademark, price, packaging design, utility, or promotion. Implications included the need to develop soursop trees in Soc Trang, Vietnam, to enhance the economy. This study uses the optimal choice of Bayesian Model Selection.