The IS History Initiative: Looking Forward by Looking Back

After officially appointing an AIS historian and forming the AIS history task force at the beginning of 2013, the AIS supported a set of systematic efforts, named IS history initiative, to preserve and represent the IS field’s history. From the perspective of the first AIS historian, I provide some background for the IS history initiative. Then I outline a detailed strategic plan and current status of its implementation. Ultimately, the IS history initiative has three goals: (1) to collect, represent, and preserve the IS field’s history; (2) to interpret, write, disseminate, and review the IS field’s history; and (3) to discover/identify IS genealogy, roots, sources, and facets that deserve to be examined from a historical point of view. Correspondingly, the strategic plan contains three parts. Each part has several specific tasks, many of which were already completed at the time of this writing, and several are either in progress or are planned for future efforts. This paper overviews both current efforts and guiding future efforts related to preserving and representing IS history

Virtual information in generalized data base systems.

Massachusetts Institute of Technology. Dept. of Civil Engineering. Thesis. 1974. M.S.MICROFICHE COPY ALSO AVAILABLE IN BARKER ENGINEERING LIBRARY.Bibliography: leaves 94-96.M.S

The Information Systems Academic Discipline in Australia

This book represents the second phase of a multi-method, multi-study of the ‘Information Systems Academic Discipline in Australia’. Drawing on Whitley’s Theory of Scientific Change, the study analysed the degree of ‘professionalisation’ of the Information Systems Discipline, the overarching research question being ‘To what extent is Information Systems a distinct and mature discipline in Australia?’ The book chapters are structured around three main sections: a) the context of the study; b) the state case studies; and c) Australia-wide evidence and analysis. The book is crafted to be accessible to IS and non-IS types both within and outside of Australia. It represents a ‘check point’; a snapshot at a point in time. As the first in a hoped for series of such snap-shots, it includes a brief history of IS in Australia, bringing us up to the time of this report. The editorial team comprises Guy Gable, architect and leader; Bob Smyth, project manager; Shirley Gregor, sponsor, host and co-theoretician; Roger Clarke, discipline memory; and Gail Ridley, theoretician. In phase two, the editors undertook to examine each component study, with a view to arriving at an Australia-wide perspective

The Information Systems Academic Discipline in Australia

This book represents the second phase of a multi-method, multi-study of the ‘Information Systems Academic Discipline in Australia’. Drawing on Whitley’s Theory of Scientific Change, the study analysed the degree of ‘professionalisation’ of the Information Systems Discipline, the overarching research question being ‘To what extent is Information Systems a distinct and mature discipline in Australia?’ The book chapters are structured around three main sections: a) the context of the study; b) the state case studies; and c) Australia-wide evidence and analysis. The book is crafted to be accessible to IS and non-IS types both within and outside of Australia. It represents a ‘check point’; a snapshot at a point in time. As the first in a hoped for series of such snap-shots, it includes a brief history of IS in Australia, bringing us up to the time of this report. The editorial team comprises Guy Gable, architect and leader; Bob Smyth, project manager; Shirley Gregor, sponsor, host and co-theoretician; Roger Clarke, discipline memory; and Gail Ridley, theoretician. In phase two, the editors undertook to examine each component study, with a view to arriving at an Australia-wide perspective

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

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.

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

An OLAP-GIS System for Numerical-Spatial Problem Solving in Community Health Assessment Analysis

Community health assessment (CHA) professionals who use information technology need a complete system that is capable of supporting numerical-spatial problem solving. On-Line Analytical Processing (OLAP) is a multidimensional data warehouse technique that is commonly used as a decision support system in standard industry. Coupling OLAP with Geospatial Information System (GIS) offers the potential for a very powerful system. For this work, OLAP and GIS were combined to develop the Spatial OLAP Visualization and Analysis Tool (SOVAT) for numerical-spatial problem solving. In addition to the development of this system, this dissertation describes three studies in relation to this work: a usability study, a CHA survey, and a summative evaluation.The purpose of the usability study was to identify human-computer interaction issues. Fifteen participants took part in the study. Three participants per round used the system to complete typical numerical-spatial tasks. Objective and subjective results were analyzed after each round and system modifications were implemented. The result of this study was a novel OLAP-GIS system streamlined for the purposes of numerical-spatial problem solving.The online CHA survey aimed to identify the information technology currently used for numerical-spatial problem solving. The survey was sent to CHA professionals and allowed for them to record the individual technologies they used during specific steps of a numerical-spatial routine. In total, 27 participants completed the survey. Results favored SPSS for numerical-related steps and GIS for spatial-related steps.Next, a summative within-subjects crossover design compared SOVAT to the combined use of SPSS and GIS (termed SPSS-GIS) for numerical-spatial problem solving. Twelve individuals from the health sciences at the University of Pittsburgh participated. Half were randomly selected to use SOVAT first, while the other half used SPSS-GIS first. In the second session, they used the alternate application. Objective and subjective results favored SOVAT over SPSS-GIS. Inferential statistics were analyzed using linear mixed model analysis. At the .01 level, SOVAT was statistically significant from SPSS-GIS for satisfaction and time (p < .002).The results demonstrate the potential for OLAP-GIS in CHA analysis. Future work will explore the impact of an OLAP-GIS system in other areas of public health

Knowledge retention model for institutions of higher learning : a case of Kenya Methodist University (KeMU)

Kenya Methodist University (KeMU) is facing challenges like duplication of work due to lack of a central repository for knowledge retention, loss of knowledge through expertise leaving the institution without knowledge being captured and over reliance on a few known subject matter experts as others have not been identified. Utilising the Knowledge Retention Strategy framework, this study sought to assess knowledge retention practices at KeMU, with a view to entrench the culture of sharing knowledge. The ultimate aim of this study was to develop a model for knowledge retention at institutions of higher learning which KeMU could adopt. The study relied on mixed method research (MMR) with qualitative and quantitative data mixed at collection, analysis, discussion and reporting levels. The study triangulated data collection tools which encompassed a questionnaire, interview, observation and review of documents to collect data from 106 respondents and 11 heads of departments respectively. These two groups were purposively selected as they play a key role in knowledge retention at KeMU. The study disclosed a variety of informal knowledge retention practices but formal practices like: documented work processes; training and development for specific job tasks; orientation for general and job specific; knowledge repositories; communities of practice; knowledge retention policies; knowledge recovery initiatives; and human resources processes and practices for knowledge retention were lacking. Considering the value placed on the above list of lacking essential practices for knowledge retention, KeMU is indeed in dire need for a solution to help retain operational relevant knowledge. The study formulated a KR model for institutions of higher learning that would help KeMU leverage its knowledge assets. The study recommends that KeMU should work out a knowledge retention policy on how to implement the best knowledge retention practices. A further study on measuring KM in an academic institution is recommended.Information ScienceM. Inf

Processes and Tools for Decision Support

The change in description of Decision Support Systems (DSS) from "concept" through "movement" to "bandwagon" clearly illustrates the growing interest in the managerial as well as in the research field for decision support systems in their different manifestations. One may expect that a conference on processes and tools for decision support brings together people from practice and research, whose experiences give insight in the direction the bandwagon is likely to go. This brings us to the question how expertise on processes and tools for decision support can be stored in such a way that one can get advice when developing future DSS. This asks for the definition and construction of a knowledge base, into which the expertise can be brought. In section 2 of this book, the authors address possible frameworks for such a knowledge base. In section 3 they place the papers presented into the chosen framework. Finally an attempt to make inferences from the contributed papers is made