Browsing by Subject "Management -- Data processing"
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Item A field study of organizational factors affecting DSS implementation(Texas Tech University, 1983-05) Sanders, George LawrenceNot availableItem An examination of an expectancy theory model of decision support system use(Texas Tech University, 1982-05) DeSanctis, Gerardine LThis dissertation developed a conceptual model of user behavior based on expectancy theory, a psychological theory of motivation. A portion of the proposed model was examined in a controlled laboratory study. The major independent variable in the study was predicted motivation, or ''force" to use a decision support system. Amount of DSS use was the dependent variable. A business simulation "game†and its accompanying interactive support program served as the research contexts Eighty-eight undergraduate business students participated in the study. The procedure required each subject to play the role of a manager in a competitive industry consisting of three firms: the student's firm and two phantom firms. Over a three-week period, the subject was required to make two "practice†decisions and five "real" decisions. Subjects were trained in the use of the DSS which accompanied the simulation, but they were not required to use the system beyond the practice decision period. The subjects received monetary and grade-based rewards which were contingent upon their level of performance in the simulation. Results of the study suggest some support for the hypothesized model of user behavior. The strength of the force - behavior relationship, as in previous expectancy theory research, was not strong. However, the presence of significant across-subjects correlations between activation to use a DSS and actual use of the system imply that expectancy theory constructs any offer some explanatory power in a comprehensive theory of user behavior. Tests for hypotheses of the influence of the two personality variables, locus of control and cognitive style, on components of the expectancy model yielded no significant findings. The results are discussed in terms of their implications for the expectancy theory literature, for the MIS literature, and for development of behavioral-science based theory within the field of MIS.Item Design of a decision support system facilitating model management and utilization(Texas Tech University, 1982-05) Minch, Robert PaulNot availableItem Formulation, design and implementation of the MAGIC/ROC decision support system generator(Texas Tech University, 1981-08) Wang, Michael Szu-yuanDecision Support Systems (DSS) , which may be briefly defined as man-computer systems for facilitating managers' decision-making processes in semi-structured and unstructured situations, have received much attention in the recent MIS literature. These systems use data and models to perform data extraction, data aggregation, data analysis, estimation, optimization, simulation, etc., to assist managers in decision making. Generalized software systems integrating these decision support and data management capabilities, which are known as DSS generators, are needed at the current stage of MIS/DSS development. No existing software system has been reported as a generalized, powerful and "friendly" system, which provides full-range capabilities for easily building specific DSS in any application area. The development of DSS generators is a complicated task. In order to cleverly integrate a variety of decision support and data management capabilities into a well-designed, orderly whole, a conceptual model must be created as a foundation for developing such software systems. The objectives of this dissertation are: (1) to formulate a comprehensive conceptual model for developing DSS generators; (2) to design a prototype DSS generator based on the conceptual model t o demonstrate the validity of the model; and (3) to implement an experimental version (selected portions) of the prototype DSS generator to validate the design. The conceptual model conveys a concept of "macro" to extend the conventional meaning of "model" in a CSS environment, and a concept of three - level knowledge bases to enhance organizational communication and sharing of corporate knowledge. Because of the structural similarity between matrices and relations, both of which represent data in tabular form, the conceptual model suggests the use of the relational data model to enhance the integration of the model base management subsystem (MBMS) and the data base management subsystem (DBMS). Components of the conceptual model are: • a model base management subsystem • a data base management subsystem • model/data dictionaries • the linkage between the MBMS and DBMS • the linkage between the DSS generator and the local computing environment • the skeleton of three-level knowledge bases • a security system • a performance monitor • a user-system interface • a language system The top-down design approach was employed to design the MAGIC/ROC* Decision support system Generator based on the conceptual model. The rationale was to include all features present in the conceptual model in a software system which is designed to be a DSS generator in order to achieve an orderly system. MAGIC/ROC advances software technology employed in MIS/DSS fields and sets up a framework of DSS generators for subsequent development. The experimental version of HAGIC/ROC was implemented via an existing software system, Statistical Analysis System (SAS). This "workable" DSS generator validates the design of MAGIC/ROC and the conceptual model formulated for developing DSS generators.