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  Partner: UNT Libraries
 Department: Department of Business Computer Information Systems
 Degree Level: Doctoral
Empirical Research of Decision-making Effectiveness When Using Differing Presentation Formats Under Varying Decision Tasks

Empirical Research of Decision-making Effectiveness When Using Differing Presentation Formats Under Varying Decision Tasks

Date: December 1988
Creator: Hard, Nancy J. (Nancy Jean)
Description: The purpose of this research was to determine if presentation format, given a particular task to be performed, would affect the decision-making process of financial decision makers. The problem motivating this study is the potential for managers to make inefficient decisions when they use reports which are presented inappropriately for a given task.
Contributing Partner: UNT Libraries
The Organizational Consequences of Information Deployment

The Organizational Consequences of Information Deployment

Date: December 1991
Creator: Remington, William S. (William Seth)
Description: This study investigates the influence that increasing end user autonomy has on organizational data models. The independence offered by microcomputer technology offers users increasing independence in their information-handling activities. As independence increases, uniformity of data models across the organization is theorized to diminish. The problem motivating this study is the potential for improper allocation of resources that may result from a misinterpretation of organizational data. This study suggests that the expanding use of microcomputers in the business setting will contribute to diversity of data models. This may eventually lead to confusion and even lack of confidence in the information produced.
Contributing Partner: UNT Libraries
An Empirical Investigation of Detail Design Tools and Cognitive Style of Software Developers

An Empirical Investigation of Detail Design Tools and Cognitive Style of Software Developers

Date: May 1992
Creator: Flores-Rosales, Oscar
Description: The purpose of this study is to identify what detail design tools are more productive for the different types of professional software developers. By establishing a match between the detail design tool and the cognitive style of the professional programmer, the end product (Information Systems) should be of a higher quality. Two laboratory experiments were conducted. The first experiment was with professional Software Developers; the second one was with students. The dependant variables considered in this study were the number of semantic errors and the time required to complete a design task for conditional logic. The independent variables were the cognitive style of the subject, the complexity of the task, and the detail design tools. Decision trees, flowcharts and pseudocode were used as detailed design tools. Field dependence was the only dimension of cognitive style that was tested.
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A Simulation Study Comparing Various Confidence Intervals for the Mean of Voucher Populations in Accounting

A Simulation Study Comparing Various Confidence Intervals for the Mean of Voucher Populations in Accounting

Date: December 1992
Creator: Lee, Ihn Shik
Description: This research examined the performance of three parametric methods for confidence intervals: the classical, the Bonferroni, and the bootstrap-t method, as applied to estimating the mean of voucher populations in accounting. Usually auditing populations do not follow standard models. The population for accounting audits generally is a nonstandard mixture distribution in which the audit data set contains a large number of zero values and a comparatively small number of nonzero errors. This study assumed a situation in which only overstatement errors exist. The nonzero errors were assumed to be normally, exponentially, and uniformly distributed. Five indicators of performance were used. The classical method was found to be unreliable. The Bonferroni method was conservative for all population conditions. The bootstrap-t method was excellent in terms of reliability, but the lower limit of the confidence intervals produced by this method was unstable for all population conditions. The classical method provided the shortest average width of the confidence intervals among the three methods. This study provided initial evidence as to how the parametric bootstrap-t method performs when applied to the nonstandard distribution of audit populations of line items. Further research should provide a reliable confidence interval for a wider variety of accounting populations.
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The Fixed v. Variable Sampling Interval Shewhart X-Bar Control Chart in the Presence of Positively Autocorrelated Data

The Fixed v. Variable Sampling Interval Shewhart X-Bar Control Chart in the Presence of Positively Autocorrelated Data

Date: May 1993
Creator: Harvey, Martha M. (Martha Mattern)
Description: This study uses simulation to examine differences between fixed sampling interval (FSI) and variable sampling interval (VSI) Shewhart X-bar control charts for processes that produce positively autocorrelated data. The influence of sample size (1 and 5), autocorrelation parameter, shift in process mean, and length of time between samples is investigated by comparing average time (ATS) and average number of samples (ANSS) to produce an out of control signal for FSI and VSI Shewhart X-bar charts. These comparisons are conducted in two ways: control chart limits pre-set at ±3σ_x / √n and limits computed from the sampling process. Proper interpretation of the Shewhart X-bar chart requires the assumption that observations are statistically independent; however, process data are often autocorrelated over time. Results of this study indicate that increasing the time between samples decreases the effect of positive autocorrelation between samples. Thus, with sufficient time between samples the assumption of independence is essentially not violated. Samples of size 5 produce a faster signal than samples of size 1 with both the FSI and VSI Shewhart X-bar chart when positive autocorrelation is present. However, samples of size 5 require the same time when the data are independent, indicating that this effect is a ...
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Mathematical Programming Approaches to the Three-Group Classification Problem

Mathematical Programming Approaches to the Three-Group Classification Problem

Date: August 1993
Creator: Loucopoulos, Constantine
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 ...
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Comparing the Powers of Several Proposed Tests for Testing the Equality of the Means of Two Populations When Some Data Are Missing

Comparing the Powers of Several Proposed Tests for Testing the Equality of the Means of Two Populations When Some Data Are Missing

Date: May 1994
Creator: Dunu, Emeka Samuel
Description: In comparing the means .of two normally distributed populations with unknown variance, two tests very often used are: the two independent sample and the paired sample t tests. There is a possible gain in the power of the significance test by using the paired sample design instead of the two independent samples design.
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The Effect of Certain Modifications to Mathematical Programming Models for the Two-Group Classification Problem

The Effect of Certain Modifications to Mathematical Programming Models for the Two-Group Classification Problem

Date: May 1994
Creator: Wanarat, Pradit
Description: This research examines certain modifications of the mathematical programming models to improve their classificatory performance. These modifications involve the inclusion of second-order terms and secondary goals in mathematical programming models. A Monte Carlo simulation study is conducted to investigate the performance of two standard parametric models and various mathematical programming models, including the MSD (minimize sum of deviations) model, the MIP (mixed integer programming) model and the hybrid linear programming model.
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Productivity Considerations for Online Help Systems

Productivity Considerations for Online Help Systems

Date: May 1994
Creator: Shultz, Charles R. (Charles Richard)
Description: The purpose of this study was to determine if task type, task complexity, and search mechanism would have a significant affect on task performance. The problem motivating this study is the potential for systems online help designers to construct systems that can improve the performance of computer users when they need help.
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The Risks and Effects of Outsourcing on the Information Systems Function and the Firm

The Risks and Effects of Outsourcing on the Information Systems Function and the Firm

Date: May 1994
Creator: Peak, Daniel Alan
Description: IS outsourcing, especially large-scale IS outsourcing, is a comparatively recent and rapidly growing IS phenomenon, but it is also an inherently risky activity. In an IS outsourcing arrangement, the outsourcing vendor accepts responsibility for IS resources and functions formerly controlled directly by the firm. This research examines IS outsourcing from two perspectives. (1) From an IS perspective, it examines the risk perceptions of IS managers of fourteen Fortune-500 firms who had recently conducted an outsourcing evaluation. (2) From a financial perspective, it examines the theoretical relationship of IS outsourcing with financial performance, and investigates the empirical effects of IS outsourcing on the firm's market value and market risk. This research views IS outsourcing as an independent variable whose effects on the firm may be measured as changes in security returns, changes in asset risk, changes in capital structure, and long-term changes in profitability. To accomplish this, it characterizes IS outsourcing as a sale-and-leaseback transaction.
Contributing Partner: UNT Libraries
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