This study investigated, in the context of a field-based case study, possibilities for formation of a synergistic union between CSCW and CASE tools. A major dimension of today's software challenge is in gearing up for large-scale system development necessitating large teams of systems engineers. The principal goal of this research was to advance the body of knowledge regarding the nature of collaborative technological support in the software development process. Specifically, the study was designed to evaluate the potential for using a CSCW tool as an effective front-end to a CASE tool in the furtherance of SDLC goals.

Utilization of World Wide Web style Web-Based Intranet Systems (W-BIS) is a rapidly expanding information delivery technique in many organizations. Published reports concerning these systems have cited return on investment values exceeding 1300% and direct payback time periods as low as six to twelve weeks. While these systems have been widely implemented, little theoretically grounded research has been conducted in relation to users' acceptance, utilization or the perceived quality of these systems. The study employed a two-site investigation of corporate Web-Based Intranet Systems, with surveys distributed via the traditional mail system. The complete survey instrument distributed to employees included the ServQual/ServPerf, User Information Satisfaction, Ease of Use/Usefulness, and Computer Playfulness instruments. In addition to these previously developed instruments, the survey instrument for this study included measures of Web-Based Intranet Systems utilization and usefulness along with respondent demographics and subordinate-reported managerial commitment. This study investigated the reliability and validity of the ServQual/ServPerf instrument in an information systems service environment. The same analysis was conducted of the more generally accepted User Information Satisfaction instrument.

The major purposes of the current research are twofold. The first purpose is to present a composite approach to the general classification problem by using outputs from various parametric statistical procedures and neural networks. The second purpose is to compare several parametric and neural network models on a transportation planning related classification problem and five simulated classification problems.

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.

This research examined the relationship between manufacturing input parameters and factory performance in a cellular manufacturing environment.

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.

The purpose of this study is to investigate the relationships between selected end-user training programs corporations provide to their employees and subsequent employee performance based on these opportunities.

This research conducted an interdisciplinary field experiment to identify relationships between productivity, user satisfaction and IS Helpdesk USP's use of effective communication behavior. An experimental group of Helpdesk USPs of a large retail organization were trained by communication professionals in communication effectiveness, with emphasis on the needs of the telephone environment.

This study develops a heuristic procedure for specifying parameters for a neural network configuration (learning rate, momentum, and the number of neurons in a single hidden layer) in Shewhart X-bar control chart applications. Also, this study examines the replicability of the neural network solution when the neural network is retrained several times with different initial weights.

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 …

Information systems research tends to ignore individual differences in users. This laboratory experiment sought to illuminate contributions of decision-makers' cognitive processes to decision outcome as reflected in four hypothesis sets: the impact of imagery preference and presentation format upon (HI) recall accuracy and upon hemispheric activation during (H2) encoding and (H3) recall, and (H4) to examine the relationship between hemispheric activation differences and accuracy differences. Point-value (specific values) and intraset-pattern (relationships between values) recall were considered. Thirty MBA students, grouped by imagery preference (cognitive style) as favoring verbal (textual) or visual (graphical) information presentation, performed computer-based recall tasks using tabular and graphical formats in a repeated measures design. Hemispheric activation (cognitive process) was assessed using ratios of EEG activity in six frequency bands captured from six pairs of homologous electrode sites during encoding and recall.