Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 01005 | |
Number of page(s) | 13 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202340901005 | |
Published online | 01 August 2023 |
Will That Color Bring Me Good Luck? The Effect of Package Color Saturation of Probabilistic Goods on Consumers’ Purchase Intention
Business School, Sichuan University, Chengdu 610065, People’s Republic of China
* e-mail: zhaoyichen@stu.scu.edu.cn
Probabilistic goods are unique products or services that consumers obtain from sellers at a discounted price for any one of different goods. They are also common in everyday life, such as blind boxes and lucky bags. However, there are still many consumers unwilling to pay for them, and the current research on probabilistic goods fails to reveal the mechanism behind it, and cannot solve the marketing problem well. In this regard, based on construal-level theory, three empirical studies were conducted to investigate the effect of package color saturation of probabilistic goods on consumers’ purchase intention. The study found that compared with low saturation, high saturation packaging can significantly increase consumers’ purchase intention, which is mediated by subjective probability and moderated by transaction utility. Specifically, in the context of low transaction utility, the higher the saturation, the stronger the consumers’ purchase intention; in the context of high transaction utility, the effect of saturation is not significant. The conclusion of this paper expands the research on the visual effect of probabilistic goods packaging, and provides theoretical basis and practical guidance for marketers to consider probabilistic goods packaging design.
Key words: Probabilistic goods / Saturation / Probability / Purchase intention / Transaction utility
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.