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Manipulating user resistance to large-scale information systems through influence tactics

机译:通过影响策略来操纵用户对大规模信息系统的抵制

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摘要

This study examines how influence tactics can be used to manipulate user resistance and subsequent usage behaviors in the context of large-scale, newly implemented information systems (IS). To do so, we integrate the theory of interpersonal influence and leadership, adaptive structuration theory, and the literature on user resistance and behavioral IS theories, and develop a comprehensive theoretical model anchored in (a) social influence tactics, (b) IT artifact perceptions, and (c) user resistance and subsequent behaviors. The resultant theoretical model explains how influence tactics modulate user perceptions, user resistance to the system, and ultimately the unfaithful use of the system. This model is tested in the context of an electronic medical record (EMR) system implementation, with a sample of 442 clinicians who were exposed to various influence tactics and with the use of SEM techniques. The results indicate that certain influence tactics are beneficial in reducing user resistance while others can unintentionally increase resistance. Resistance, in turn, drives adaptive user behaviors in the form of unfaithful use of the system. Thus, it is possible to manipulate resistance and resultant adaptive behaviors through influence tactics, without necessarily altering the IT artifact. This is particularly important, as many off-the-shelf IT artifacts cannot be substantially modified.
机译:这项研究探讨了如何在大规模,新近实施的信息系统(IS)的背景下使用影响力策略来操纵用户抵抗和随后的使用行为。为此,我们将人际影响力和领导力理论,适应性结构化理论以及有关用户抵抗和行为IS理论的文献进行了整合,并开发了以(a)社会影响策略,(b)IT工件感知为基础的综合理论模型。 ,以及(c)用户的抵制和随后的行为。最终的理论模型解释了影响策略如何调节用户的感知,用户对系统的抵抗力以及最终对系统的不忠实使用。该模型是在442名临床医生的电子病历(EMR)系统实施情况下进行测试的,这些样本暴露于各种影响策略并使用SEM技术。结果表明,某些影响策略有利于减少用户抵抗力,而另一些则可无意间增加抵抗力。反过来,抵制以不忠实使用系统的形式驱动自适应用户行为。因此,有可能通过影响策略来操纵抵抗力和由此产生的适应性行为,而不必改变IT工件。这一点特别重要,因为许多现成的IT工件无法进行实质性的修改。

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