{"title":"Generativity of enterprise IT infrastructure for digital innovation","authors":"Shan Wang, Ji-Ye Mao, Fang Wang","doi":"10.1108/intr-10-2022-0808","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":null,"pages":null},"PeriodicalIF":5.9000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1108/intr-10-2022-0808","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
目的数字创新要求组织重新配置其信息技术基础设施(ITI),以培养创造力和实施快速实验。本研究对信息技术基础设施的生成性进行了探究,这是一个新出现的概念,它贬低了组织数字创新的关键信息技术基础设施能力。更具体地说,它从两个维度--即系统和应用基础架构(SAI)生成性和数据分析基础架构(DAI)生成性--对 ITI 生成性进行了概念化,并研究了它们各自的社会和技术前因及其对数字创新的影响。为验证该模型及其相关假设,我们对了解所在组织 IT 架构和数字创新绩效的 IT 专业人士进行了调查。调查结果显示,ITI生成性的两个维度都有助于提高数字创新绩效,而DAI生成性的影响更为明显。此外,SAI 和 DAI 的生成性还受到组织内社会和技术因素的驱动。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生成性则与数据分析服务平台、数据分析服务可用性和数据分析人力资源的使用呈正相关。它还就如何建立 ITI 以实现更好的数字创新绩效为从业人员提供了有益的见解和指导。
期刊介绍:
This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.