Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression-Reference-Cited by-同舟云学术

Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression

Published:2006-01 Issue:2 Volume:41 Page:514-531
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Chiang Wei-yu Kevin,Zhang Dongsong,Zhou Lina

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference39 articles.

1. Managing assets and skills: the key to a sustainable advantage;Aaker;California Management Review,1989

2. Choice of transaction channels: the effects of product characteristics on market evolution;Ba;Journal of Management Information Systems,2004

3. Extrapolation and interpolation in neural network classifiers;Barnard;IEEE Control Systems,1992

4. Predictors of online buying behavior;Bellman;Communications of the ACM,1999

5. Q3 2003 Online Sales: Surprisingly Strong Growth;Carrie,2003

Cited by 148 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mindfully fashioned: Sustaining style through product value retention;Journal of Retailing and Consumer Services;2024-11

2. Explanatory and predictive analysis of smartphone security using protection motivation theory: a hybrid SEM-AI approach;Information Technology & People;2024-05-28

3. Moderated Mediating Effect on Undergraduates’ Mobile Social Media Addiction: A Three-Stage Analytical Approach;Journal of Technology in Behavioral Science;2024-05-21

4. Influencing factors for ready-to-cook food purchase intentions: a two-stage approach;SN Business & Economics;2023-12-19

5. Assessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels;International Journal of Human–Computer Interaction;2023-07-17