2026-09-22T13:09:43Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/50606 2023-07-11 col_2142_5131 col_2142_14791 com_2142_5130 com_2142_14790 com_2142_9216

Shaw, Michael J. Shaw, Michael J. Subramanyam, Ramanath Larson, Eric C. Kwon, Hyok-Jon D. Sethi, Ruchika 2014-09-16T17:24:18Z 2014-09-16T17:24:18Z 2014-08 2014-09-16 2014-08 Information Systems (IS) managers need to optimize and balance multiple objectives, manage resources, prioritize projects, enforce alignment with business goals, etc. while making IT investment decisions. These decisions are not made in isolation but must be part of a coherent plan in order to achieve the organization's IT goals. Effective planning involves correctly identifying the organizational IS needs and finding efficient mechanisms to fulfill them; these can be understood as identifying IS ``ends'' and ``means'' respectively. In this dissertation, we make new contributions to both of these aspects of planning: When determining an organization's goal or ``ends'', we demonstrate the importance of considering rarity of IT capabilities in evaluating the goal. More fundamentally, we describe a framework to model the IS planning process of an organization as a Markov Decision Process: this mathematical formalism allows us to elegantly capture several important features of the planning process that have been described in the literature. With an effective model of the planning process (the ``means'' of planning), we can then study the impact of various planning dimensions on plan effectiveness. We focus on two primary dimensions: first, the length of the IT planning horizon and second, whether and how an organization engages in double-loop learning to reconcile discrepancies between its espoused objective and its objective in use. We show that the impact of these dimensions on plan effectiveness varies by organizational strategy type. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-07-17T16:40:36Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Sethi_Ruchika.pdf: 999386 bytes, checksum: 7aa97d91ec475ba2663c71163a9d3fdc (MD5) Made available in DSpace on 2014-09-16T17:24:18Z (GMT). No. of bitstreams: 2 Ruchika_Sethi.pdf: 999386 bytes, checksum: 7aa97d91ec475ba2663c71163a9d3fdc (MD5) license.txt: 4061 bytes, checksum: e2ac4fa29b9dc0599afde4c97abce9a7 (MD5) http://hdl.handle.net/2142/50606 en Copyright 2014 Ruchika Sethi Information Systems (IS) Information Systems (IS) Planning Effective information systems planning text Business Administration 1902 Business Administration 0079 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Business Administrtn -UIUC 10KS0079PHD