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Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization

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Title:Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization
Authors:Hofmann, Peter
Stähle, Philipp
Buck, Christoph
Thorwarth, Harald
Keywords:Design and Appropriation of Knowledge and AI Systems
absorptive capacity
data-driven application capabilities
data-driven applications
knowledge management
Date Issued:05 Jan 2021
Abstract:The relevance of data-driven applications for leveraging knowledge embedded in data is growing. Thereby, an organization’s capability to create, disseminate, and exploit knowledge (i.e., absorptive capacity) is a decisive factor in gaining competitive advantages. In this paper, we address the lack of guidance on the development and application of data-driven applications fostering an organization’s absorptive capacity. Based on a structured literature review, we derive seven data-driven application capabilities and match them with an established conceptualization of absorptive capacity. While previous literature did not allow for a specific analysis, our functional representation concretely demonstrates how data-driven applications composed of separate capabilities can foster absorptive capacity in manifold ways. This paper contributes to the literature by providing a structured literature review on the impact of IT on absorptive capacity as well as introducing theoretically-based and modularized data-driven application capabilities.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71211
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.593
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Design and Appropriation of Knowledge and AI Systems


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