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首页> 外文期刊>International journal of information communication technologies and human development >Reviewing Business-IT Alignment Instruments Under SAM Dimensions
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Reviewing Business-IT Alignment Instruments Under SAM Dimensions

机译：在SAM尺寸下检查Business-IT对准工具

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摘要

Business-IT alignment has been on the top of the concerns of IT executives for many years and how to assess it has been under research. Among many proposals, one of the best known and cited in the literature, showing some relevant empirical work, is the Luftman's Strategic Alignment Maturity (SAM) categories assessment. Taking it as a framework, seven other proposals are examined using SAM categories as dimensions of business-IT alignment: communications, competency/value measurements, governance, partnership, technology scope and skills. Except for one proposal revealing a tactical level approach, this review shows that business-IT alignment assessment has been studied essentially at the strategic level. Among the examined dimensions across the several proposals, governance is the best covered one while the human resource skills dimension is considerably neglected. Having still room for improvements, either in the governance or the technology scope dimensions, the SAM assessment seems a well balanced instrument. The empirical work already found on SAM provides a good starting point to get an acceptable validated instrument. However, if in terms of content validity, SAM is one of the most promising instruments, there is still much work to do on what concerns its operationalization. Future research should strive for a rigorous, strong instrument on every component of construct validity, namely, the convergent, discriminant and nomological components.
机译：多年来，业务与IT的协调一直是IT主管最关注的问题，如何评估它一直在研究中。在许多建议中，Luftman的战略调整成熟度（SAM）类别评估是文献中最有名的和被引用的其中一项，显示了一些相关的经验研究成果。以SAM为框架，使用SAM类别作为业务与IT的一致性维度，研究了其他七个提案：沟通，能力/价值衡量，治理，伙伴关系，技术范围和技能。除了一项揭示战术层面方法的建议外，本次审查表明，业务IT一致性评估基本上是在战略层面进行的。在涉及多个提案的已审查维度中，治理是涵盖最广的一个，而人力资源技能维度却被大大忽略。不管是在治理还是在技术范围方面，SAM评估仍有改进的余地，这似乎是一种非常平衡的工具。在SAM上已经发现的经验工作为获得可接受的经过验证的仪器提供了一个很好的起点。但是，如果就内容有效性而言，SAM是最有前途的工具之一，那么就其可操作性而言，仍有许多工作要做。未来的研究应该为构造有效性的每个组成部分，即收敛，判别和法理组成部分，寻求一个严格，强大的工具。

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