不同社会层次手机应用粘性的形成:基于认知-情感-意向框架的多群体分析

Xingchen Zhou, P. Rau, Zhuoni Jie
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摘要

本研究旨在揭示手机应用粘性是如何形成的,以及不同社会层次应用粘性形成过程的差异。设计/方法/方法本研究提出并验证了一个遵循认知-情感-意向框架的粘性形成模型。数据收集自对1240名移动应用用户的调查,并使用结构方程模型进行分析。采用多群体分析方法对比不同社会层次应用间的粘性形成过程。研究结果这项研究揭示了认知、情感和意向因素之间的因果关系。研究发现,信任在知觉与满意度的关联中起部分中介作用,而满意度和个人投入在主观规范对粘性的影响中起完全中介作用。多组分析结果表明,社交媒体支持通过增加PI和强化SN对PI的作用来促进粘性。然而,它通过增加感知隐私风险(PPR)、降低信任和增强PPR对信任的影响来破坏粘性。原创性/价值本研究构建了一个理解粘性形成过程的模型,揭示了“走社会化”战略的影响,对粘性学者和实践者都有贡献。本研究的新颖之处在于,它考察了社会影响,考虑了隐私问题,并揭示了两种调解机制。研究结果可以指导手机应用粘性的提高和“走向社交”战略的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stickiness formation among mobile apps of different social levels: multigroup analysis using the cognitive–affective–conative framework
PurposeThis study aims to reveal how mobile app stickiness is formed and how the stickiness formation process differs for apps of different social levels.Design/methodology/approachThis study proposed and validated a stickiness formation model following the cognitive–affective–conative framework. Data were collected from surveys of 1,240 mobile app users and analyzed using structural equation modeling. Multigroup analysis was applied to contrast the stickiness formation process among apps of different social levels.FindingsThis study revealed a causal link between cognitive, affective and conative factors. It found partial mediation effects of trust in the association between perceptions and satisfaction, and the full mediation role of satisfaction and personal investment (PI) in the effects of subjective norm (SN) on stickiness. The multigroup analysis results suggested that social media affordances benefit stickiness through increased PI and strengthened effects of SN on PI. However, it damages stickiness through increased perceived privacy risk (PPR), decreased trust and strengthened effects of PPR on trust.Originality/valueThis study contributes to both stickiness scholars and practitioners, as it builds a model to understand the stickiness formation process and reveals the effects of the “go social” strategy. The novelty of this study is that it examined social influences, considered privacy issues and revealed two mediation mechanisms. The findings can guide the improvement of mobile app stickiness and the application of the “go social” strategy.
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