{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/14753"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/14753","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Patterns in information technology portfolio decision making: an inductive approach","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Karhade, Prasanna P."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Business Administration","degree_department":null,"school":null,"contributors":["Shaw, Michael J.","Mahoney, Joseph T.","Chandler, John S.","Subramanyam, Ramanath"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-01-06T17:49:21Z","date_published":"2010-01-06T17:49:21Z","updated_at":"2026-07-22T22:25:08Z","subjects":["IT Portfolio Management","Decision Rules","Routines","Evolution of Routines","Decision Trees","Induction"],"languages":["en"],"rights":["Copyright 2009 Prasanna Karhade"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/14753","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shaw, Michael J.","Mahoney, Joseph T.","Chandler, John S.","Subramanyam, Ramanath"]},{"key":"dc:creator","label":"Author","values":["Karhade, Prasanna P."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2010-01-06T17:49:21Z","2016-01-15T11:02:07Z","2009-12"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["IT Portfolio Management","Decision Rules","Routines","Evolution of Routines","Decision Trees","Induction"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2009 Prasanna Karhade"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/14753"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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