UNT Libraries - 12 Matching Results

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An Analysis of the Effect of Environmental and Systems Complexity on Information Systems Failures

Description: Companies have invested large amounts of money on information systems development. Unfortunately, not all information systems developments are successful. Software project failure is frequent and lamentable. Surveys and statistical analysis results underscore the severity and scope of software project failure. Limited research relates software structure to information systems failures. Systematic study of failure provides insights into the causes of IS failure. More importantly, it contributes to better monitoring and control of projects and enhancing the likelihood of the success of management information systems. The underlining theories and literature that contribute to the construction of theoretical framework come from general systems theory, complexity theory, and failure studies. One hundred COBOL programs from a single company are used in the analysis. The program log clearly documents the date, time, and the reasons for changes to the programs. In this study the relationships among the variables of business requirements change, software complexity, program size and the error rate in each phase of software development life cycle are tested. Interpretations of the hypotheses testing are provided as well. The data shows that analysis error and design error occur more often than programming error. Measurement criteria need to be developed at each stage of the software development cycle, especially in the early stage. The quality and reliability of software can be improved continuously. The findings from this study suggest that it is imperative to develop an adaptive system that can cope with the changes to the business environment. Further, management needs to focus on processes that improve the quality of the system design stage.
Date: August 2001
Creator: Zhang, Xiaoni

Critical Success Factors in Data Mining Projects.

Description: The increasing awareness of data mining technology, along with the attendant increase in the capturing, warehousing, and utilization of historical data to support evidence-based decision making, is leading many organizations to recognize that the effective use of data is the key element in the next generation of client-server enterprise information technology. The concept of data mining is gaining acceptance in business as a means of seeking higher profits and lower costs. To deploy data mining projects successfully, organizations need to know the key factors for successful data mining. Implementing emerging information systems (IS) can be risky if the critical success factors (CSFs) have been researched insufficiently or documented inadequately. While numerous studies have listed the advantages and described the data mining process, there is little research on the success factors of data mining. This dissertation identifies CSFs in data mining projects. Chapter 1 introduces the history of the data mining process and states the problems, purposes, and significances of this dissertation. Chapter 2 reviews the literature, discusses general concepts of data mining and data mining project contexts, and reviews general concepts of CSF methodologies. It also describes the identification process for the various CSFs used to develop the research framework. Chapter 3 describes the research framework and methodology, detailing how the CSFs were identified and validated from more than 1,300 articles published on data mining and related topics. The validated CSFs, organized into a research framework using 7 factors, generate the research questions and hypotheses. Chapter 4 presents analysis and results, along with the chain of evidence for each research question, the quantitative instrument and survey results. In addition, it discusses how the data were collected and analyzed to answer the research questions. Chapter 5 concludes with a summary of the findings, describing assumptions and limitations and suggesting future research.
Date: August 2003
Creator: Sim, Jaesung

Derivation of Probability Density Functions for the Relative Differences in the Standard and Poor's 100 Stock Index Over Various Intervals of Time

Description: In this study a two-part mixed probability density function was derived which described the relative changes in the Standard and Poor's 100 Stock Index over various intervals of time. The density function is a mixture of two different halves of normal distributions. Optimal values for the standard deviations for the two halves and the mean are given. Also, a general form of the function is given which uses linear regression models to estimate the standard deviations and the means. The density functions allow stock market participants trading index options and futures contracts on the S & P 100 Stock Index to determine probabilities of success or failure of trades involving price movements of certain magnitudes in given lengths of time.
Date: August 1988
Creator: Bunger, R. C. (Robert Charles)

A Discrimination of Software Implementation Success Criteria

Description: Software implementation projects struggle with the delicate balance of low cost, on-time delivery and quality. The methodologies and processes used to create and maintain a quality software system are expensive to deploy and result in long development cycle-time. However, without their deployment into the software implementation life-cycle, a software system will be undependable, unsuccessful. The purpose of this research is to identify a succinct set of software implementation success criteria and assess the key independent constructs, activities, carried out to ensure a successful implementation project. The research will assess the success of a software implementation project as the dependent construct of interest and use the software process model (methodology) as the independent construct. This field research involved three phases: (1) criteria development, (2) data collection, and (3) testing of hypotheses and discriminant analysis. The first phase resulted in the development of the measurement instruments for the independent and dependent constructs. The measurement instrument for the independent construct was representative of the criteria from highly regarded software implementation process models and methodologies, e.g., ISO9000, Software Engineering Institute's Capability Maturity Model (SEI CMM). The dependent construct was developed from the categories and criteria from the Delone and McLean (1992) MIS List of Success Measures. The data collection and assessment phase employed a field survey research strategy to 80 companies involved in internal software implementation. Both successful and unsuccessful software implementation projects (identified by the Delone/McLean model) participated. Results from 165 projects were collected, 28 unsuccessful and 137 successful. The third phase used ANOVA to test the first 11 hypotheses and employed discriminant analysis for the 12th hypothesis to identify the "best set" of variables, criteria, that discriminate between successful and unsuccessful software implementation projects. Twelve discriminating variables out of 67 were identified and supported as significant discriminators between successful and unsuccessful projects. ...
Date: August 1999
Creator: Pryor, Alan N.

An Examination of the Effect of Decision Style on the Use of a Computerized Project Management Tool

Description: Managing a software development project presents many difficulties. Most software development projects are considered less than successful, and many are simply canceled. Ineffective project management has been cited as a major factor contributing to these failures. Project management tools can greatly assist managers in tracking and controlling their projects. However, project management tools are very structured and analytical in nature, which is not necessarily supported by decision-making styles of the managers. This research examined the influence that decision style has on a project manager's use of a project management tool.
Date: August 1997
Creator: Fox, Terry L., 1963-

An Experimental Investigation of Information Systems Project Escalation: An Examination of Contributory Factors in a Business Environment

Description: The purpose of this research is to continue examining the project management process. The management of projects is complicated. It is the complexity of the process that makes a project so difficult to control. This research examines the effect of particular facets of the project manager's skill set and operating environment on management decisions.
Date: August 1997
Creator: Huff, Richard A. (Richard Allen)

Mathematical Programming Approaches to the Three-Group Classification Problem

Description: In the last twelve years there has been considerable research interest in mathematical programming approaches to the statistical classification problem, primarily because they are not based on the assumptions of the parametric methods (Fisher's linear discriminant function, Smith's quadratic discriminant function) for optimality. This dissertation focuses on the development of mathematical programming models for the three-group classification problem and examines the computational efficiency and classificatory performance of proposed and existing models. The classificatory performance of these models is compared with that of Fisher's linear discriminant function and Smith's quadratic discriminant function. Additionally, this dissertation investigates theoretical characteristics of mathematical programming models for the classification problem with three or more groups. A computationally efficient model for the three-group classification problem is developed. This model minimizes directly the number of misclassifications in the training sample. Furthermore, the classificatory performance of the proposed model is enhanced by the introduction of a two-phase algorithm. The same algorithm can be used to improve the classificatory performance of any interval-based mathematical programming model for the classification problem with three or more groups. A modification to improve the computational efficiency of an existing model is also proposed. In addition, a multiple-group extension of a mathematical programming model for the two-group classification problem is introduced. A simulation study on classificatory performance reveals that the proposed models yield lower misclassification rates than Fisher's linear discriminant function and Smith's quadratic discriminant function under certain data configurations. Data configurations, where the parametric methods outperform the proposed models, are also identified. A number of theoretical characteristics of mathematical programming models for the classification problem are identified. These include conditions for the existence of feasible solutions, as well as conditions for the avoidance of degenerate solutions. Additionally, conditions are identified that guarantee the classificatory non-inferiority of one model over another in the training ...
Date: August 1993
Creator: Loucopoulos, Constantine

Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale

Description: The purpose of this research was to evaluate the effect on parametric and nonparametric tests using ordinal data when the distances between points changed on the measurement scale. The research examined the performance of Type I and Type II error rates using selected parametric and nonparametric tests.
Date: August 1994
Creator: Chen, Andrew H. (Andrew Hwa-Fen)

A Study of Differences Perceived by Information Systems Professionals in the Systems Development Job Environment Due to the Use of ICASE Technology

Description: Information systems professionals now face the automation of their own work in integrated computer aided software engineering. Organizations need to achieve all the leverage possible from costly IT implementations to enhance competitiveness, profitability, and survival in a rapidly changing environment. ICASE technology is a part of the infrastructure necessary to meet this challenge but appears to present significant difficulties in implementation.
Date: August 1997
Creator: Troboy, Lori Kim