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I like my app but I wanna try yours: exploring user switching from a learning perspective

吸引力 独创性 透视图(图形) 心理学 社会心理学 现象 计算机科学 创造力 精神分析 量子力学 物理 人工智能
作者
Jie Gu,Xiaolun Wang,Tian Lu
出处
期刊:Internet Research [Emerald Publishing Limited]
卷期号:30 (2): 611-630 被引量:20
标识
DOI:10.1108/intr-07-2018-0310
摘要

Purpose The purpose of this paper is to explain the “good-to-good” app switching phenomenon that has not been specifically addressed in the prior switching literature. Drawing on the consumer learning theory, this study explores how external social word of mouth (WOM) and internal satisfaction influence app users’ switching intention through social learning route and analogical learning route. This study also examines the moderating effect of app heterogeneity. Design/methodology/approach An online survey was used to collect data. Two categories of mobile apps with different levels of within-category heterogeneity were targeted in survey questions. A total of 525 valid survey responses were collected. Findings Social WOM about a competing app increases users’ switching intention through both social norm influence and social information influence, resulting in a direct effect on switching intention and an indirect effect through the perceived attractiveness of a competing app. Users’ satisfaction with an adopted app positively influences the perceived attractiveness of an unadopted competing app, offering evidence for analogical learning in user switching. Meanwhile, users’ satisfaction imposes a direct negative effect on switching intention. A higher level of within-category heterogeneity strengthens (weakens) the positive effect of social WOM (satisfaction) on users’ perceived attractiveness of a competing app. Originality/value This study complements the existing switching literature by disentangling the “good-to-good” switching phenomenon in the mobile app market from the consumer learning perspective. This study extends the understanding of cross-category user switching by considering different levels of product heterogeneity.
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