The decision-making processes of duty-free shop users using a goal directed behavior model: The moderating effect of gender-Reference-Cited by-同舟云学术

The decision-making processes of duty-free shop users using a goal directed behavior model: The moderating effect of gender

Published:2017-06 Issue: Volume:31 Page:152-162
ISSN:1447-6770
Container-title:Journal of Hospitality and Tourism Management
language:en
Short-container-title:Journal of Hospitality and Tourism Management

Author:

Choi Yu-Jin,Park Jin-Woo

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management

Reference68 articles.

1. From intentions to actions: A theory of planned behavior;Ajzen,1985

2. The theory of planned behavior;Ajzen;Organizational Behavior and Human Decision Processes,1991

3. Understanding attitudes and predicting social behaviour;Ajzen,1980

4. Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control;Ajzen;Journal of Experimental Social Psychology,1986

5. Identifying the major discriminative consumption styles and money attitudes of male and female young adults;Akturan;Oxford Journal: An International Journal of Business & Economics,2014

Cited by 42 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. The impact of environmental stimuli on the psychological and behavioral compliance of international construction employees;Frontiers in Psychology;2024-06-11

2. Generating customer wealth by mobile-based agricultural extension services: BOP farmers in the emerging markets;Journal of Science and Technology Policy Management;2024-05-24

3. The effects of knowledge of tourist civility and Taoist values on tourist civility intentions based on an extended theory of planned behavior;Sustainable Development;2024-04-17

4. Exploring the emotions and decision-making of consumers for elective healthcare and hedonic adaptation;International Journal of Pharmaceutical and Healthcare Marketing;2024-02-26

5. Forecasting duty-free shopping demand with multisource data: a deep learning approach;Annals of Operations Research;2024-02-15