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Examining Online Purchase Intentions in B2C E-Commerce: Testing an Integrated Model

机译：在B2C电子商务中检查在线购买意图：测试集成模型

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摘要

Research on online shopping has taken three broad and divergent approaches viz, human-computer interaction, behavioral, and consumerist approaches to examine online consumer behavior. Assimilating these three approaches, this study proposes an integrated model of online shopping behavior, with four major antecedents influencing online purchase intent: Web site quality, customer concerns in online shopping, self-efficacy, and past online shopping experience. These antecedents were modeled as second-order constructs with subsuming first-order constituent factors. The model was tested using data from a questionnaire survey of 214 online shoppers. Statistical analyses using structural equation modeling was used to validate the model, and identify the relative importance of the key antecedents to online purchase intent. Past online shopping experience was found to have the strongest association with online purchase intent, followed by customer concerns, Web site quality, and computer self efficacy. The findings and their implications are discussed.
机译：在线购物的研究采用了三种广泛且不同的方法，即人机交互，行为和消费者主义方法来检查在线消费者行为。结合这三种方法，本研究提出了一个在线购物行为的集成模型，其中影响在线购买意图的四个主要前提是：网站质量，客户对在线购物的关注，自我效能和过去的在线购物经验。这些先例被建模为包含一阶构成因素的二阶构造。使用来自214位在线购物者的问卷调查中的数据对模型进行了测试。使用结构方程模型进行的统计分析用于验证模型，并确定关键前提对在线购买意图的相对重要性。过去的在线购物经验与在线购买意图密切相关，其次是客户关注，网站质量和计算机自我效能。研究结果及其含义进行了讨论。

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