Unleashing the Potential of External Data, a DSR-based Approach to Data Sourcing.

Details

Ressource 1Download: Hasan_Legner_Understanding_Data_Products_vF2.pdf (479.29 [Ko])
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_2283EFE3BECD
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Unleashing the Potential of External Data, a DSR-based Approach to Data Sourcing.
Title of the conference
Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022)
Author(s)
Krasikov Pavel, Eurich Markus, Legner Christine
Publication state
Published
Issued date
18/06/2022
Peer-reviewed
Oui
Language
english
Abstract
External data has become an indispensable pillar in state-of-the-art decision-making and value creation in an enterprise context. Despite the increasing motivation to use external data, information systems (IS) research still lacks an adequate data sourcing perspective. This study aims to address this gap by investigating the practical challenges in this emerging field and developing a reference process for sourcing and managing external data. To this end, we adopt a design science research approach leveraging collaboration with practitioners from nine high-profile companies. Our findings contribute to the scarce body of knowledge on data sourcing in IS by proposing explicit prescriptions in the form of a reference process for sourcing and managing external data.
Funding(s)
Other / Competence Center Corporate Data Quality (CC CDQ)
Create date
15/01/2025 19:36
Last modification date
16/01/2025 7:09
Usage data