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

Title data

Hofmann, Peter ; Stähle, Philipp ; Buck, Christoph ; Thorwarth, Harald:
Data-driven Applications to Foster Absorptive Capacity : A Literature-based Conceptualization.
2021
Event: 54th Hawaii International Conference on System Sciences , 05.-08.01.2021 , Maui, Hawaii.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: data-driven applications; absorptive capacity; knowledge management; data-driven application capabilities
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management > Chair Business Administration VII - Information Systems Management - Univ.-Prof. Dr. Torsten Eymann
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Dec 2020 09:35
Last Modified: 14 Dec 2020 09:35
URI: https://eref.uni-bayreuth.de/id/eprint/61042