Management information systems : a comparison of the network and relational models of data

Thesis. 1975. M.S.--Massachusetts Institute of Technology. Alfred P. Sloan School of Management.Bibliography: leaves 100-102.by Charles Arthur Ziering, Jr.M.S

Decision rules for the automated generation of storage strategies in data management systems

Thesis. 1975. M.S.--Massachusetts Institute of Technology. Alfred P. Sloan School of Management.Bibliography: leaves 152-155.by Grant N Smith.M.S

Economic data bank management in a developing nation

This dissertation describes the results of a research project which was undertaken at Loughborough University of Technology. The basic objectives of the research project were: (1) to investigate the management elements required for organising the development of an Economic Data Bank (EDB), with particular emphasis on the requirements of a developing nation; (2) to investigate the sociological, political and technical implications associated with organising the development of an EDB in a developing nation. A theoretical framework was established for this study. This was dene after an extensive search and review of literature was performed in the areas of data and data base management systems, management information systems, and computer technology in general. [Continues.

An empirical investigation of the nature of management development with particular emphasis on the influence of learning styles on the levels of accumulated managerial tacit knowledge in the Malaysian Public Service

This study explored the broad learning patterns associated with the acquisition of managerial tacit knowledge. The study then proceeded to examine whether levels of accumulated managerial tacit knowledge (LAMTK) may be associated with managers' learning styles and/or the extent to which a person's style is consonant with the context of their work environment. The possibility that deliberate learning strategies normally associated with formal rather than informal learning would be unrelated to LAMTK was also examined.The research employed a cross-sectional, mixed-method approach incorporating both qualitative interview and survey data collection. For the qualitative element, interviews were conducted with 14 public sector managers based on a method developed by Nestor-Baker (1999). For the quantitative element, survey data were collected from 356 public sector managers attending management development training courses at the Malaysian National Institute of Public Administration. Respondents completed a questionnaire designed to measure tacit knowledge based on Stemberg et al's (2000) Tacit Knowledge Inventory for Managers, learning styles based on Geiger et al's (1993) normative version of Kolb's Learning Style Inventory, learning strategy based on Warr & Downing's (2000) Learning Strategies Questionnaire, and a range of other selfdeveloped items.The interviews revealed that most managers were unaware of the learning associated with the acquisition of tacit knowledge, as it occurs in an unplanned and unintentional manner. Several adult learning principles such as reflection and learning from experience emerged from the analyses. While learning styles were found to be significant in predicting LAMTK, a rather surprising finding was that learning strategies, believed to be associated with declarative as opposed to tacit knowledge, were also related to LAMTK. Based on these findings it was concluded that the process of tacit knowledge acquisition involves the interaction of learning that takes place in both formal and informal settings. Outcomes of the research suggest that in management development initiatives, formal approaches should be blended with informal approaches in order to achieve effective learning

Software Development Outsourcing Decision Support Tool with Neural Network Learning

The Air Force (AF) needs an evolving software tool for guiding decision makers through the complexities of software outsourcing. Previous research identified specific outsourcing strategies and linked them to goals and consequences through a variety of relationship rules. These strategies and relationship rules were inserted into a decision support tool. Since that time, more historical data and outsourcing literature has been collected thus necessitating an update to such a tool. As the number of software outsourcing projects are completed, the AF must capture the outsourcing decision experiences which guided the projects and their outcomes. In order to efficiently incorporate this new experience, the decision tool must be redesigned to allow the additional knowledge to be added in such a way that the decision rule base is automatically updated. With this new feature, the tool would increase its precision of predicting software outsourcing success as the software outsourcing knowledge evolves. Capturing software outsourcing as knowledge instead of raw information will help guide decision makers down paths proven to succeed staying clear of risks that historically plagued software outsourcing projects of the past. Software outsourcing decision makers desire not only a characterization of past experiences and predictions of future outcomes, but also reasons to help them make informed decisions

A framework for the analysis and evaluation of enterprise models

Bibliography: leaves 264-288.The purpose of this study is the development and validation of a comprehensive framework for the analysis and evaluation of enterprise models. The study starts with an extensive literature review of modelling concepts and an overview of the various reference disciplines concerned with enterprise modelling. This overview is more extensive than usual in order to accommodate readers from different backgrounds. The proposed framework is based on the distinction between the syntactic, semantic and pragmatic model aspects and populated with evaluation criteria drawn from an extensive literature survey. In order to operationalize and empirically validate the framework, an exhaustive survey of enterprise models was conducted. From this survey, an XML database of more than twenty relatively large, publicly available enterprise models was constructed. A strong emphasis was placed on the interdisciplinary nature of this database and models were drawn from ontology research, linguistics, analysis patterns as well as the traditional fields of data modelling, data warehousing and enterprise systems. The resultant database forms the test bed for the detailed framework-based analysis and its public availability should constitute a useful contribution to the modelling research community. The bulk of the research is dedicated to implementing and validating specific analysis techniques to quantify the various model evaluation criteria of the framework. The aim for each of the analysis techniques is that it can, where possible, be automated and generalised to other modelling domains. The syntactic measures and analysis techniques originate largely from the disciplines of systems engineering, graph theory and computer science. Various metrics to measure model hierarchy, architecture and complexity are tested and discussed. It is found that many are not particularly useful or valid for enterprise models. Hence some new measures are proposed to assist with model visualization and an original "model signature" consisting of three key metrics is proposed.Perhaps the most significant contribution ofthe research lies in the development and validation of a significant number of semantic analysis techniques, drawing heavily on current developments in lexicography, linguistics and ontology research. Some novel and interesting techniques are proposed to measure, inter alia, domain coverage, model genericity, quality of documentation, perspicuity and model similarity. Especially model similarity is explored in depth by means of various similarity and clustering algorithms as well as ways to visualize the similarity between models. Finally, a number of pragmatic analyses techniques are applied to the models. These include face validity, degree of use, authority of model author, availability, cost, flexibility, adaptability, model currency, maturity and degree of support. This analysis relies mostly on the searching for and ranking of certain specific information details, often involving a degree of subjective interpretation, although more specific quantitative procedures are suggested for some of the criteria. To aid future researchers, a separate chapter lists some promising analysis techniques that were investigated but found to be problematic from methodological perspective. More interestingly, this chapter also presents a very strong conceptual case on how the proposed framework and the analysis techniques associated vrith its various criteria can be applied to many other information systems research areas. The case is presented on the grounds of the underlying isomorphism between the various research areas and illustrated by suggesting the application of the framework to evaluate web sites, algorithms, software applications, programming languages, system development methodologies and user interfaces

Computer and data security: a comprehensive annotated bibliography.

Massachusetts Institute of Technology, Alfred P. Sloan School of Management. Thesis. 1973. M.S.MICROFICHE COPY ALSO AVAILABLE IN DEWEY LIBRARY.M.S

A systematic methodology for designing the architecture of complex software systems.

Thesis. 1979. Ph.D.--Massachusetts Institute of Technology. Alfred P. Sloan School of Management.MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY.Vita.Bibliography: leaves 482-491.Ph.D