Enhancing the measurement of information technology (IT) business alignment and its influence on company performance

Enhancing the measurement of information technology (IT) business alignment and its influence on company performance
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DOI:
10.1057/jit.2015.23
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发表时间:
2017-03
影响因子:
5.6
通讯作者:
Jerry N. Luftman;K. Lyytinen;T. Ben-Zvi
Jerry N. Luftman;K. Lyytinen;T. Ben-Zvi
中科院分区:
管理学3区
文献类型:
--
作者:
Jerry N. Luftman;K. Lyytinen;T. Ben-Zvi

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30多年来的研究一致表明,企业级业务信息技术(IT)对齐是一个普遍存在的问题。虽然在理解对齐方面已经取得了重大进展,但是对IT对齐的研究仍然受到几个问题的困扰。首先,大多数校准模型将校准作为一种静态关系来处理,而不是分析活动的范围和变化,通过这些活动可以(或可以)获得校准。其次,大多数结盟模型都没有建立在坚实的理论基础上。第三,由于它们的静态视图,这些模型不能指导组织如何改进一致性。本研究使用基于能力的视角来解决这些弱点。它以动态能力理论为基础,制定并实施了一个形成性的结构,并定义了有助于一致性的活动的范围和性质。该结构确定了促进一致性的六个维度:(1)it -业务通信;(2)价值分析的运用;(3)协同治理的途径;(四)所属、合伙企业的性质;(5)资讯科技措施的范围;(6)发展信息技术技能。从构式测量的维度、项目池采样、规律效度和预测效度等方面对构式测量进行了验证。该研究使用偏最小二乘法(PLS)对数据集进行统计验证,该数据集涵盖了3000多个全球参与者,其中包括近400家财富1000强公司。所有构建维度都对一致性水平有显著贡献,并且通过对企业绩效的统计显着影响,构建显示出强大的规律和预测效度。学者们可以利用这项研究来探索更多的基于活动的it -业务一致性构造。
Studies for over 30 years have consistently indicated that enterprise-level Business-Information Technology (IT) alignment is a pervasive problem. While significant progress has been made to understand alignment, research on IT alignment is still plagued by several problems. First, most alignment models approach alignment as a static relationship in contrast to analyzing the scope and variance of activities through which the alignment is (or can be) attained. Second, most alignment models are not founded on strong theoretical foundations. Third, because of their static view, these models do not guide how organizations can improve alignment. This study addresses these weaknesses using a capability-based lens. It formulates and operationalizes a formative construct rooted in the theory of dynamic capabilities and defines the scope and nature of activities that contribute to alignment. The construct identifies six dimensions promoting alignment: (1) IT-Business Communications; (2) Use of Value Analytics; (3) Approaches to Collaborative Governance; (4) Nature of the affiliation/partnership; (5) Scope of IT initiatives; and (6) Development of IT Skills. The construct measures are validated in terms of their dimensionality, item pool sampling, and the nomological and predictive validity. The research uses Partial Least Squares (PLS) to statistically validate the construct using a dataset covering over 3000 global participants including nearly 400 Fortune 1000 companies. All construct dimensions contribute significantly to the level of alignment and the construct shows strong nomological and predictive validity by demonstrating a statistically significant impact on firm performance. Scholars can leverage this research to explore additional activity-based constructs of IT-business alignment.