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Organizational Learning to Leverage Benefits Realization Management; Evidence from a Municipal eHealth Effort

Authors :
Hans Solli-Sæther
Detmar W. Straub
Kirsti Askedal
Leif Skiftenes Flak
University of Agder (UIA)
Norwegian University of Science and Technology [Trondheim] (NTNU)
Norwegian University of Science and Technology (NTNU)
Georgia State University
University System of Georgia (USG)
Marijn Janssen
Karin Axelsson
Olivier Glassey
Bram Klievink
Robert Krimmer
Ida Lindgren
Peter Parycek
Hans J. Scholl
Dmitrii Trutnev
TC 8
WG 8.5
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.

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⟩