(陳乃華)* (2025.03). Consumers’ preferences for choosing alternative proteins and their switching intentions in Taiwan. British Food Journal, 127(8), 3024-3040.
Nai-Hua Chen(陳乃華)*, Tran Thi Tu (2024.03). The Impacts of Animated Transport Safety Advertising Cross Two Cultures. Journal of Nonprofit & Public Sector Marketing, 36(1), 1-22.
(陳乃華)* (2021.05). Geographical indication labelling of food and behavioural intentions. British Food Journal, 123(12), 4097-4115.
(陳乃華)* (2019.01). Extending a TAM–TTF model with perceptions toward telematics adoption. Asia Pacific Journal of Marketing and Logistics, 31(1), 37-54.
Nai-Hua Chen、Sherrie Wei (2017.03). Factors influencing consumers’ attitudes towards the consumption of edible flowers. Food Quality and Preference, 56, 93-100.
Nai-Hua Chen、Stephen Chi-Tsun Huang (2015.09). Domestic Technology Adoption: Comparison of Innovation Adoption Models and Moderators. Human Factors and Ergonomics in Manufacturing & Service Industries, 26(2), 177-190.
Nai-Hua Chen、 Chi-Hsun Lee 、 Chi-Tsun Huang (2015.05). Why buy organic rice? Genetic algorithm-based fuzzy association mining rules for means-end chain data. International Journal of Consumer Studies, 39(6), 692-707.
Nai-Hua Chen、 Stephen Chi-Tsun Huang、 Shih-Tung Shu、 Tung-Sheng Wang (2011.08). Market segmentation, Service Quality, and Overall Satisfaction: Self-Organizing Map and Structural Equation Modeling Methods. Quality and Quantity, 47(2), 969-987.
研討會論文
(陳乃華)* (2023.08). Consumers' switching and preferences for alternative proteins. Paper presented at 2023 Joint Statistical Meetings, 多倫多(Toronto): 美國統計協會(American Statistical Association).
(陳乃華)* (2018.07). Using Hierarchical Negative Binomial Regression to Predict the Impact of Smart-watch Unboxing Videos on Viewers’ Behavior. Paper presented at 12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics, Vilnius, Lithuania: Institute of Mathematical Statistics.
(陳乃華)* (2016.08). Smart watch adopting prediction by support vector machine and Bayesian probit analysis. Paper presented at The 22th International Conference on Computational Statistics, Oviedo, Spin: ECOSTA ECONOMETRICS AND STATISTICS.
