AuthorKOTTEMANN, JEFFREY ERNST.
KeywordsBusiness -- Data processing.
Information storage and retrieval systems.
Management information systems.
Committee ChairKonsynski, Benn
MetadataShow full item record
PublisherThe University of Arizona.
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
AbstractThe Development Environment (DE) developed in this research includes a methodology and specification and implementation of a tool environment for Management Information Systems (IS) development. In the DE proposed, business IS development includes, and indeed hinges on, organizational modeling. Specifically, the objective and strategy, task, and agent structures are modeled and analyzed. This initial analysis uncovers incompletenesses and inconsistencies in the organizational model as well as allowing top-down prioritization of business areas for further IS development. For information required to support decision making, various information attributes--e.g., currency--are used in modeling the information requirements. These attributes represent variables of information benefit levels to the user and of cost factors in IS development and operations. In later stages of development, these attributes serve as inference parameters that dictate system aspects such as communication architectures, database design, and process scheduling. Information outputs are decomposed to form an information processing architecture--an architecture comprised of interlinked data and processes--that minimizes the redundancy of IS resources. A specification of computer-aided tools for this and all steps in IS development are given. Methods and tools are developed for the determination of data store contents and physical structure, information processing requirements, system input requirements, data/process distribution, and data acquisition, disposal, and information processing scheduling. The DE developed as a part of the dissertation research attempts to draw together and extend upon many notions and methods of system development, decision support mechanisms including artificial intelligence based systems, value of information, and organizational planning and modeling, to form an integrated system development environment.
Degree ProgramManagement Information Systems