Purpose

Digital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.

Design/methodology/approach

This research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.

Findings

Results reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.

Originality/value

This research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.

中文翻译：

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企业IT基础设施数字化创新的生成性

目的

数字创新要求组织重新配置其信息技术基础设施 (ITI)，以培养创造力并实施快速实验。本研究探讨了 ITI 生成性，这是一个新兴概念，降低了组织数字创新的关键 ITI 能力。更具体地说，它跨两个维度概念化了 ITI 生成性，即系统和应用基础设施 (SAI) 生成性和数据分析基础设施 (DAI) 生成性，并研究了它们各自的社会和技术背景及其对数字创新的影响。

设计/方法论/途径

本研究建立了一个理论模型来研究 ITI 生成的社会和技术背景以及创新成果。为了测试该模型及其相关假设，我们对了解组织 IT 架构和数字创新绩效的 IT 专业人员进行了一项调查。该数据集包含 140 个组织的回复，并使用偏最小二乘技术进行了分析。

发现

结果表明，ITI 生成力的两个维度都有助于数字创新绩效，其中 DAI 生成力的影响更为明显。此外，SAI 和 DAI 的生成能力是由组织内的社会和技术因素驱动的。更具体地说，SAI 生成性与数字应用服务平台和 IT 人力资源的使用呈正相关，而 DAI 生成性与数据分析服务平台的使用、数据分析服务可用性和数据分析人力资源呈正相关。

原创性/价值

这项研究通过将 ITI 生成能力介绍为一项重要的 ITI 能力并解读其在数字创新中的作用，为数字创新文献做出了贡献。它还为从业者如何构建 ITI 以实现更好的数字创新绩效提供了有用的见解和指导。