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oai:www.ideals.illinois.edu:2142/23455 2023-07-10 col_2142_5131 col_2142_13627 com_2142_5130 com_2142_13626 com_2142_8903

Rich, Robert F. Oh, Cheol-Ho 2011-05-07T14:14:50Z 2011-05-07T14:14:50Z 10000-01-01 1992 "This is a study of the relationship between information utilization and decisionmaking in governmental bureaucracies. More specifically, this study attempts to empirically investigate causal relationships among the factors involved in the ""impact stage"" of information utilization in bureaucratic decisionmaking. This study is conducted on the basis of a comprehensive conceptual framework, which combines past theories and/or empirical findings in a systematic way. The comprehensive conceptual framework this study employs can provide new insights into explaining the gap between the perceived need to use information in decisionmaking and the ability to apply this need into practice. Consequently, this study provides some new theoretical and empirical insights into the question of whether, when, and under what conditions use of information and its impact are likely to occur in bureaucratic decisionmaking or organizations." Made available in DSpace on 2011-05-07T14:14:50Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9236559.pdf: 9554675 bytes, checksum: 7f4eb9be4113e797f4b43f5bfb00dd95 (MD5) Previous issue date: 1992 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T15:04:35Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:30:52-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9236559 (UMI)AAI9236559 http://hdl.handle.net/2142/23455 eng Copyright 1992 Oh, Cheol-Ho Business Administration, General Political Science, General Political Science, Public Administration Policy information and policymaking in governmental bureaucracies: A causal modeling of processes and impacts text Political Science University of Illinois at Urbana-Champaign Dissertation Ph.D. Political Science