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Conference Paper: Evolution of decision rules used for IT portfolio management: An inductive approach

TitleEvolution of decision rules used for IT portfolio management: An inductive approach
Authors
KeywordsInductive learning
IT portfolio management
Logic of appropriateness
Decision rules
Issue Date2009
Citation
Lecture Notes in Business Information Processing, 2009, v. 36 LNBIP, p. 307-320 How to Cite?
AbstractIT 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 Springer Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/244098
ISSN
2015 SCImago Journal Rankings: 0.205

 

DC FieldValueLanguage
dc.contributor.authorKarhade, Prasanna P.-
dc.contributor.authorShaw, Michael J.-
dc.contributor.authorSubramanyam, Ramanath-
dc.date.accessioned2017-08-31T08:56:03Z-
dc.date.available2017-08-31T08:56:03Z-
dc.date.issued2009-
dc.identifier.citationLecture Notes in Business Information Processing, 2009, v. 36 LNBIP, p. 307-320-
dc.identifier.issn1865-1348-
dc.identifier.urihttp://hdl.handle.net/10722/244098-
dc.description.abstractIT 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 Springer Berlin Heidelberg.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Business Information Processing-
dc.subjectInductive learning-
dc.subjectIT portfolio management-
dc.subjectLogic of appropriateness-
dc.subjectDecision rules-
dc.titleEvolution of decision rules used for IT portfolio management: An inductive approach-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-03132-8_25-
dc.identifier.scopuseid_2-s2.0-70350066351-
dc.identifier.volume36 LNBIP-
dc.identifier.spage307-
dc.identifier.epage320-

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