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A Study of Senior Information Systems Managers’ Decision Models in Adopting New Computing Architectures

机译:采用新型计算体系结构的高级信息系统经理的决策模型研究

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There has been considerable interest recently in the promise of new computingrnarchitectures such as the diskless computing architecture, which runs applicationsrnoff a network. In previous theoretical work on Information Systems (IS)rnadoption, the question of whether classical diffusion variables determine the organizationalrnadoption of IS with low knowledge barriers and low user interdependenciesrnis still unresolved. In the practitioner literature, the discussion on new architecturesrnhas focused mainly on the costs of ownership of the architectures.rnThis work proposes a novel methodology for IS adoption studies, usingrnconjoint analysis. Issues such as data collection, data analysis, selecting scales andrnlevels of predictor variables, construct validity, formulating testable hypotheses, andrnJournal of the Association for Information Systems 2rnselecting an appropriate sample size are all discussed. As an example study,rnfactors important to senior IS managers when deciding to adopt a computingrnarchitecture for their organization are identified and operationalized. Using conjointrnanalysis, the relative importance of these factors is measured as well as whetherrnor not the effect of levels of these factors on decision-making is linear.rnThe findings show that technology factors, which are a subset of classicalrndiffusion variables, are sufficient to explain the adoption of computing architectures,rnwhich are a type of IS innovation with low impact on organizational processes andrnlow knowledge barriers for end-users. The software quality associated with anrnarchitecture is the most important factor considered by IS managers and its effectrnis linear. The effect of the cost factor is less important, non-linear, and in somerncases, unexpected. The effects of centralization, backward compatibility with thernorganization, and acceptance by third parties are all linear, but less important thanrnsoftware quality.
机译:最近,人们对新的计算体系结构的承诺产生了极大的兴趣,例如无盘计算体系结构,该体系结构运行来自网络的应用程序。在先前有关信息系统(IS)采纳的理论研究中,关于经典扩散变量是否决定知识壁垒低和用户相互依存性较低的IS的组织采纳的问题仍未解决。在从业者文献中,对新体系结构的讨论主要集中在体系结构的拥有成本上。这项工作提出了一种采用联合分析的IS采用研究的新方法。讨论了诸如数据收集,数据分析,选择预测变量的尺度和水平,构造效度,制定可检验的假设以及信息系统协会期刊2选择合适的样本量等问题。作为示例研究,确定并实施了对于高级IS经理决定采用其组织的计算体系结构时重要的因素。使用联合分析,可以测量这些因素的相对重要性,以及这些因素的水平对决策的影响是否线性。研究结果表明,作为经典扩散变量子集的技术因素足以解释该现象。计算体系结构的采用,这是一种IS创新,对组织过程的影响很小,对最终用户的知识壁垒也很低。与架构无关的软件质量是IS管理者考虑的最重要因素,其效果线性。成本因素的影响不太重要,是非线性的,在某些情况下是意料之外的。集中化,与组织的向后兼容性以及被第三方接受的影响都是线性的,但不如软件质量重要。

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