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U of I Only 111 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/72303 Shaw, Michael J. Karhade, Prasanna P. 2014-12-17T21:42:35Z 2014-12-17T21:42:35Z 10000-01-01 2009 2009 This dissertation examines the structural properties of patterns in the decision-making processes used for information technology (IT) portfolio management with an emphasis on two key issues; (1) strategic alignment and (2) the mitigation of risks early-on during planning. Based on the cross sectional analysis of a large portfolio of decisions, I build on the Defender-Prospector-Analyzer typology and the corresponding IT strategies to develop theoretical profiles of decision models in alignment with these archetypes. I theorize key differences in decision models across these three strategic orientations and empirically test hypotheses by analyzing actual decisions for a large portfolio of IT initiatives in a unique, naturally controlled empirical setting. By examining decision-making processes over a two-year consecutive period, I systematically address risk mitigation during IT portfolio planning. I build on the logic of appropriateness, to propose an endogenous explanation for the evolution of these planning routines. Using an organizational routine as the unit of analysis; I propose their characteristics that are likely to explain the generation, deletion, retention and adaptation of these routines over time. I corroborate my hypotheses in a unique empirical setting using a three-stage methodology. This dissertation examines strategic alignment and risk-taking from an inductive perspective. Findings reported in this dissertation, based on minimal assumptions, indicate that a pattern-enabled approach to planning for IT portfolios can potentially alleviate the planning paradox. Decision trees I present offer insights for alignment and have substantial managerial implications for IT governance. Meta-routines presented in this dissertation---based on the evolutionary analysis of routines over a two-year period---give us a visual vocabulary for articulating the anatomy of dynamic capabilities. These findings have substantial implications for improving the maturity of IT portfolio management processes within organizations. Made available in DSpace on 2014-12-17T21:42:35Z (GMT). No. of bitstreams: 1 3406760.pdf: 2565949 bytes, checksum: acc5ffa211d080b4350ac85fbc0783d4 (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 72471 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs (UMI)AAI3406760 Business Administration, General Business Administration, Management Patterns in Information Technology Portfolio Decision Making: An Inductive Approach text Business Administration Business Adminstration University of Illinois at Urbana-Champaign Dissertation Ph.D.