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Conference Paper: Evolution of decision rules used for IT portfolio management: An inductive approach
Title | Evolution of decision rules used for IT portfolio management: An inductive approach |
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Authors | |
Keywords | IT portfolio management Logic of appropriateness Inductive learning Decision rules |
Issue Date | 2009 |
Citation | 15th Americas Conference on Information Systems 2009, AMCIS 2009, 2009, v. 3, p. 1443-1453 How to Cite? |
Abstract | IT portfolio management and the related planning decisions for IT-dependent initiatives are critical to organizational performance. Building on the logic of appropriateness theoretical framework, we define an important characteristic of decision rules used during IT portfolio planning; rule appropriateness with regards to the risk-taking criterion. We propose that rule appropriateness will be an important factor explaining the evolution of rules over time. Using an inductive learning methodology, we analyze a unique dataset of actual IT portfolio planning decisions spanning two consecutive years within one organization. We present systematic comparative analysis of the evolution of rules used in planning over two years to validate our research proposition. We find that rules that were inappropriate in the first year are being redefined to design appropriate rules for use in the second year. Our work provides empirical evidence demonstrating organizational learning and improvements in IT portfolio planning capabilities. © (2009) by the AIS/ICIS Administrative Office All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/244140 |
DC Field | Value | Language |
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dc.contributor.author | Karhade, Prasanna P. | - |
dc.contributor.author | Shaw, Michael J. | - |
dc.contributor.author | Subramanyam, Ramanath | - |
dc.date.accessioned | 2017-08-31T08:56:09Z | - |
dc.date.available | 2017-08-31T08:56:09Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | 15th Americas Conference on Information Systems 2009, AMCIS 2009, 2009, v. 3, p. 1443-1453 | - |
dc.identifier.uri | http://hdl.handle.net/10722/244140 | - |
dc.description.abstract | IT portfolio management and the related planning decisions for IT-dependent initiatives are critical to organizational performance. Building on the logic of appropriateness theoretical framework, we define an important characteristic of decision rules used during IT portfolio planning; rule appropriateness with regards to the risk-taking criterion. We propose that rule appropriateness will be an important factor explaining the evolution of rules over time. Using an inductive learning methodology, we analyze a unique dataset of actual IT portfolio planning decisions spanning two consecutive years within one organization. We present systematic comparative analysis of the evolution of rules used in planning over two years to validate our research proposition. We find that rules that were inappropriate in the first year are being redefined to design appropriate rules for use in the second year. Our work provides empirical evidence demonstrating organizational learning and improvements in IT portfolio planning capabilities. © (2009) by the AIS/ICIS Administrative Office All rights reserved. | - |
dc.language | eng | - |
dc.relation.ispartof | 15th Americas Conference on Information Systems 2009, AMCIS 2009 | - |
dc.subject | IT portfolio management | - |
dc.subject | Logic of appropriateness | - |
dc.subject | Inductive learning | - |
dc.subject | Decision rules | - |
dc.title | Evolution of decision rules used for IT portfolio management: An inductive approach | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-84870793073 | - |
dc.identifier.volume | 3 | - |
dc.identifier.spage | 1443 | - |
dc.identifier.epage | 1453 | - |