Zeleti, Fatemeh Ahmadi and Ojo, Adegboyega (2019) Agile mechanisms for open data process innovation in public sector organizations: Towards theory building. In: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery, New York, United States, pp. 164-174. ISBN 9781450366441
Preview
AO_agile.pdf
Download (759kB) | Preview
Abstract
Process innovation in public organizations is widely documented
and has increasingly been the subject of empirical scrutiny.
However, no study has attempted to investigate process
innovation in open data organizations in public sector. Guided by
the Dynamic Capability Theory and based on the detailed study
of four open data organizations, we synthesize a theoretical model
and a process model for open data process innovation in public
sector organizations. Specifically, the study sought to understand
how open data process agility is achieved in these organizations.
The results highlight the specific agile mechanisms that enable
and improve open data process innovation in public sector
organizations. The results also provide perspectives on how open
data organizations in public sector can change data processes to
transform the way they respond to changing demands and
external environment.
Item Type: | Book Section |
---|---|
Additional Information: | Cite as: Fatemeh Ahmadi Zeleti and Adegboyega Ojo. 2019. Agile Mechanisms for Open Data Process Innovation in Public Sector Organizations: Towards Theory Building. In Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (ICEGOV2019). Association for Computing Machinery, New York, NY, USA, 164–174. DOI:https://doi.org/10.1145/3326365.3326387 |
Keywords: | Process Innovation; Open Data; Open Data Processes; Data Processes; Public Sector Organization; Agile Mechanisms; |
Academic Unit: | Faculty of Social Sciences > School of Business Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI |
Item ID: | 14353 |
Identification Number: | 10.1145/3326365.3326387 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 20 Apr 2021 14:36 |
Publisher: | Association for Computing Machinery |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14353 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year