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Toward a better understanding of behavioral intention and system usage constructs

机译:更好地理解行为意图和系统使用构造

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摘要

To understand user behavior, researchers have examined intention to use, and system usage through some common conceptualizations such as actual usage, reported usage, and assessed usage. Although this entire body of research has produced important findings, it has yet to appreciably advance our theoretical understanding of behavioral intention (Bl) and usage constructs. To fill this gap, this paper critically examines and compares these core variables as well as their relationships with key technology acceptance determinants. We find that (1) Bl has a much higher correlation with the determinants than does usage, and thus more variance in Bl than in usage can be explained; (2) Bl is not a good surrogate for usage; (3) among the three usage constructs, assessed usage is the most and actual usage is the least highly correlated with Bl; and (4) researchers should examine both actual usage and assessed usage in their every single study to bring to light the true relationships between system usage and its antecedents. This study thus helps IS scholars expand their baseline knowledge of these core variables, interpret the important messages conveyed by the extant literature, and conduct more fruitful and illuminating future research on user behavior.
机译:为了了解用户行为,研究人员通过一些常用的概念化方法(例如实际使用情况,报告的使用情况和评估的使用情况)检查了使用意图和系统使用情况。尽管这整个研究工作都产生了重要的发现,但它尚未显着提高我们对行为意图(B1)和使用构造的理论理解。为了填补这一空白,本文严格审查并比较了这些核心变量及其与关键技术接受决定因素的关系。我们发现(1)与用法相比,Bl与行列式具有更高的相关性,因此,Bl的方差比用法有更多的解释; (2)B1不是很好的使用替代品; (3)在这三种用法结构中,评估的用法与Bl的相关性最高,而实际的用法与Bl的相关性最低。 (4)研究人员应在每项研究中同时检查实际使用情况和评估使用情况,以揭示系统使用情况与其前身之间的真实关系。因此,这项研究有助于IS学者扩大他们对这些核心变量的基础知识,解释现有文献所传达的重要信息,并对用户行为进行更富有成果和启发性的未来研究。

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