TY - GEN
T1 - Evolution of decision rules used for IT portfolio management
T2 - 15th Americas Conference on Information Systems, AMCIS 2009
AU - Karhade, Prasanna P.
AU - Shaw, Michael J.
AU - Subramanyam, Ramanath
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Decision rules
KW - IT portfolio management
KW - Inductive learning
KW - Logic of appropriateness
UR - http://www.scopus.com/inward/record.url?scp=70350066351&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350066351&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03132-8_25
DO - 10.1007/978-3-642-03132-8_25
M3 - Conference contribution
AN - SCOPUS:70350066351
SN - 9783642031311
T3 - Lecture Notes in Business Information Processing
SP - 307
EP - 320
BT - Value Creation in E-Business Management - 15th Americas Conference on Information Systems, AMCIS 2009, SIGeBIZ track, Selected Papers
PB - Springer
Y2 - 6 August 2009 through 9 August 2009
ER -