{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/72303"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/72303","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":"U of I Only","abstract_html":"U of I Only","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 Adminstration","degree_department":null,"school":null,"contributors":["Shaw, Michael J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-17T21:42:35Z","date_published":"2014-12-17T21:42:35Z","updated_at":"2026-07-22T22:26:06Z","subjects":["Business Administration, General","Business Administration, Management"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI3406760"],"render_values":[{"text":"(UMI)AAI3406760","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/72303","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shaw, Michael J."]},{"key":"dc:creator","label":"Author","values":["Karhade, Prasanna P."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-17T21:42:35Z","10000-01-01","2009"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Adminstration"]},{"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":["Business Administration, General","Business Administration, Management"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/72303","(UMI)AAI3406760"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["U of I Only","111 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 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). 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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). 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