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Examining Multiple Dimensions of Task-Technology Fit

机译:检查任务技术适合度的多个维度

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Investigating the fit of an information technology to a user’s task, known as task-technology fit (TTF), is a frequent focus ofHCI/MIS research. In such research, “fit as moderation”, one of Venkatraman’s (1989) six conceptualizations of fit, iscommon. This conceptualization assumes two variables, e.g., task and technology, and an outcome variable. Task andtechnology, however, have multiple dimensions that should be considered when investigating fit. We examine three methodsHCI/MIS researchers have used for augmenting the fit as moderation conceptualization for multiple dimensions. We proposeand test a new method involving a single PLS model capturing the multiple dimensions of fit, which is more consistent withVenkatraman’s (1989) original conceptualization and statistical model for fit as moderation than those currently in theliterature. Our method as compared against one method in the literature, using a separate model for each dimension, works atleast as well.
机译:HCI / MIS研究经常关注研究信息技术对用户任务的适应性,即任务技术适应性(TTF)。在这类研究中,“ Venkatraman”(1989年)的六个“适合度概念化”之一是“适度适度”。这种概念化假设两个变量,例如任务和技术,以及结果变量。但是,任务和技术在调查适合性时应考虑多个方面。我们研究了HCI / MIS研究人员用来增加拟合度的多种方法,作为多维的适度概念化。我们提出并测试了一种新的方法,该方法涉及捕获拟合的多个维度的单个PLS模型,该方法与文卡特曼(Venkatraman,1989)最初将拟合作为适应度的统计概念和统计模型相比,目前在文学中更为一致。与文献中的一种方法相比,对于每个维度使用单独的模型,我们的方法也同样有效。

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