Effects of app icon familiarity and authority on app icon image fit and usage intention: focusing on the moderating effects of app icon features and app type

偶像 心理学 图像(数学) 移动应用程序 广告 计算机科学 业务 万维网 人工智能 程序设计语言
作者
Hao-Yue Bai,Yi-Wen Bao,Jung-Hee Kim
出处
期刊:Asia Pacific Journal of Marketing and Logistics [Emerald (MCB UP)]
标识
DOI:10.1108/apjml-09-2023-0930
摘要

Purpose This research delves into the dynamic realm of app design by examining the impact of app icon familiarity and authority on image fit, influencing users' app usage intention. Focusing on the distinctive circumstances of Chinese and Korean customers, the study aims to provide insightful information about how application user behavior changes. Design/methodology/approach Utilizing structural equation modeling, the study employs data from 293 Korean and Chinese consumers. The research design incorporates a thoughtful approach, including parallel translation methods, focus group interviews, and pre-experimental testing to ensure survey accuracy and validity. The study strategically selects stimuli from the Apple App Store rankings, emphasizing icon features and type considerations. Findings The results provide important new information about the connections between usage intention, image fit, authority, and familiarity with app icons. Notably, app icon familiarity and authority positively influence image fit. Furthermore, app icon image fit emerges as a positive predictor of usage intention, mediating the complex interplay between familiarity, authority, and intention. The study also identifies moderating effects, shedding light on the nuanced role of app icon features and types. Originality/value Originating from a comprehensive exploration of icons, this study significantly contributes to the field by exploring icon differences and uncovering the intricate mechanisms guiding users' decisions. The findings offer valuable insights for app designers, marketers, and researchers seeking a deeper understanding of user behavior in diverse cultural contexts, thereby enhancing the theoretical and practical foundations in app usability and consumer behavior.
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