Unleashing the Potential of External Data, a DSR-based Approach to Data Sourcing.
Détails
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_2283EFE3BECD
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Unleashing the Potential of External Data, a DSR-based Approach to Data Sourcing.
Titre de la conférence
Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022)
Statut éditorial
Publié
Date de publication
18/06/2022
Peer-reviewed
Oui
Langue
anglais
Résumé
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.
Financement(s)
Autre / Competence Center Corporate Data Quality (CC CDQ)
Création de la notice
15/01/2025 19:36
Dernière modification de la notice
16/01/2025 7:09