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Internet usage for information provisioning: theoretical construct development and empirical validation in the clinical decision-making context

机译:互联网用于信息提供:在临床决策背景下的理论构建发展和经验验证

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摘要

Despite substantial discussion of the Internet's impact on individual activities, there is an absence of a theoretically grounded measure of Internet usage for the provisioning of information required by decision-makers. Our research addresses this void in the literature. We conceptualize Internet Usage for Information Provisioning (IUIP) as the degree to which the Internet is used to meet information requirements of individual decision-makers engaged in diagnostic decision-making tasks. Drawing on the information processing theoretical framework, three dimensions (usage for breadth of content, usage for depth of content, and usage for interaction dynamism) of IUIP are identified. The construct was validated through a two-phase empirical study conducted in the physician clinical decision-making context. The first phase involved interviewing physicians to establish face validity of the dimensions and to generate multi-item measures for each dimension. The second phase consisted of surveying physicians to evaluate measurement properties and nomological validity. Principal components analysis, confirmatory factor analysis, and partial least squares analysis were the primary statistical techniques used to analyze the data and evaluate construct validity. Our results suggest that decision-makers operating in uncertain and equivocal decision contexts use the Internet to a greater degree for their content needs and selective attention requirements. Our results also suggest that a fit between the user's information processing requirements and technology, and selected social norms, lead to higher levels of IUIP. Implications for practice and future research are discussed.
机译:尽管对互联网对个人活动的影响进行了大量讨论,但仍缺乏从理论上衡量互联网使用情况的措施,以提供决策者所需的信息。我们的研究解决了文献中的空白。我们将Internet用于信息提供的概念(IUIP)概念化为使用Internet满足从事诊断决策任务的各个决策者的信息要求的程度。根据信息处理的理论框架,确定了IUIP的三个维度(用于内容广度的使用,用于内容深度的使用以及用于交互动力的使用)。通过在医师临床决策背景下进行的两阶段经验研究验证了该构建体。第一阶段涉及与医生进行面谈,以确定维度的面部有效性并针对每个维度生成多项目度量。第二阶段由调查医生组成,以评估测量属性和法理有效性。主成分分析,验证性因子分析和偏最小二乘分析是用于分析数据和评估结构有效性的主要统计技术。我们的结果表明,在不确定和模棱两可的决策环境中运作的决策者会在很大程度上满足其内容需求和选择性注意需求的需求。我们的结果还表明,用户的信息处理要求和技术与选定的社会规范之间的契合可以导致更高级别的IUIP。讨论了对实践和未来研究的影响。

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