Towards Data Ecosystem Based Winter Road Maintenance ERP System

Perspectives in Business Informatics Research: 20th International Conference on Business Informatics Research (BIR 2021): Proceedings. Lecture Notes in Business Information Processing. Vol.430 2021
Līva Deksne, Jānis Grabis, Edžus Žeiris

Traditional Enterprise Resource Planning (ERP) systems are geared towards processing organizations’ internal information. However, business processes supported by these ERP systems increasing rely on external data. In order to understand these data dependencies, it is proposed to use data ecosystem models instead of traditional ERP implementation reference models to deploy ERP systems for their users. The winter road maintenance case is explored as a representative case of ERP systems using variety of data sources and requiring advanced data processing features. The winter road maintenance data ecosystem model is developed by means of participative modeling and application of the ecosystem model to configure ERP systems for their users is outlined. The data ecosystem approach allows organizations to partners providing data and data processing services for implementation and operation of the system.

Atslēgas vārdi
Data ecosystem | ERP systems | Winter road maintenance
DOI
10.1007/978-3-030-87205-2_5
Hipersaite
https://link.springer.com/chapter/10.1007%2F978-3-030-87205-2_5

Deksne, L., Grabis, J., Žeiris, E. Towards Data Ecosystem Based Winter Road Maintenance ERP System. No: Perspectives in Business Informatics Research: 20th International Conference on Business Informatics Research (BIR 2021): Proceedings. Lecture Notes in Business Information Processing. Vol.430, Austrija, Vienna, 22.-24. septembris, 2022. Cham: Springer Nature Switzerland AG, 2021, 69.-83.lpp. ISBN 978-3-030-87204-5. e-ISBN 978-3-030-87205-2. ISSN 1865-1348. e-ISSN 1865-1356. Pieejams: doi:10.1007/978-3-030-87205-2_5

Publikācijas valoda
English (en)