Paper Type
Short
Paper Number
PACIS2025-1044
Description
Organizations are struggling to enable sustaining innovation from data analytics despite significant investment and clear research evidencing a link from data analytics to innovation. In this research we take the novel approach of considering innovation impact at the project and product level leading to firm level capabilities, as opposed to the top-down approach of prior research. Through an integrative literature review, we consider data analytics projects and the applications and data products they create. We propose a model that uses analytics projects as a first order dynamic capability that supports the use of data products in the search for innovation realized through data. This research-in-progress paper contributes to existing research by exploring the dynamics of analytics projects that create data products which can enable sustaining innovation, rather than one-off innovation.
Recommended Citation
Chesbrough, Martin William; Davern, Michael; Naseer, Humza; and Maynard, Sean B., "Enabling Sustaining Innovation through Analytics Projects: the Role of Data Products" (2025). PACIS 2025 Proceedings. 7.
https://aisel.aisnet.org/pacis2025/transform/transform/7
Enabling Sustaining Innovation through Analytics Projects: the Role of Data Products
Organizations are struggling to enable sustaining innovation from data analytics despite significant investment and clear research evidencing a link from data analytics to innovation. In this research we take the novel approach of considering innovation impact at the project and product level leading to firm level capabilities, as opposed to the top-down approach of prior research. Through an integrative literature review, we consider data analytics projects and the applications and data products they create. We propose a model that uses analytics projects as a first order dynamic capability that supports the use of data products in the search for innovation realized through data. This research-in-progress paper contributes to existing research by exploring the dynamics of analytics projects that create data products which can enable sustaining innovation, rather than one-off innovation.
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