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Organizational Learning to Leverage Benefits Realization Management; Evidence from a Municipal eHealth Effort
- Source :
- Lecture Notes in Computer Science, 16th International Conference on Electronic Government (EGOV), 16th International Conference on Electronic Government (EGOV), Sep 2017, St. Petersburg, Russia. pp.142-153, ⟨10.1007/978-3-319-64677-0_12⟩, Lecture Notes in Computer Science ISBN: 9783319646763, EGOV
- Publication Year :
- 2017
- Publisher :
- Springer, 2017.
-
Abstract
- Part 3: Organizational Aspects; International audience; While work with benefits realization requires organizational learning to be effective, emphasis on organizational learning is hard to find in benefits realization studies. To remedy this research gap, we study how organizational learning theory can contribute to improve benefits realization processes. A qualitative approach was used to gain in depth understanding of benefits realization in an ICT healthcare services project. We found that individual learning is present, but organizational learning has not been given explicit attention neither in the project nor in the literature of benefits realization management. We argue that the individual learning in the project forms an excellent basis for organizational learning, i.e., in the form of organizational structures, routines, and methods for benefits realization.
- Subjects :
- Knowledge management
Leverage (finance)
business.industry
Computer science
Public sector
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
05 social sciences
Organizational learning theory
03 medical and health sciences
0302 clinical medicine
Information and Communications Technology
0502 economics and business
Organizational learning
Health care
eHealth
Individual learning
Organizational structure
[INFO]Computer Science [cs]
030212 general & internal medicine
business
Benefits management
Complex organizations
050203 business & management
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-319-64676-3
- ISBNs :
- 9783319646763
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science, 16th International Conference on Electronic Government (EGOV), 16th International Conference on Electronic Government (EGOV), Sep 2017, St. Petersburg, Russia. pp.142-153, ⟨10.1007/978-3-319-64677-0_12⟩, Lecture Notes in Computer Science ISBN: 9783319646763, EGOV
- Accession number :
- edsair.doi.dedup.....dd7bddf009c5cc6f20362747a135cbd2
- Full Text :
- https://doi.org/10.1007/978-3-319-64677-0_12⟩