Engineering Commons^™

Aligning Hierarchical Goals In An Organization: The Path From Training To Performance, Jeanette Denise Selby-Lucas

Engineering Management & Systems Engineering Theses & Dissertations

Training is a multi-billion-dollar industry, and with the advent of the training technology revolution and the possibilities it provides to business and government, as well as to the academic community, it is important to determine if the money invested in training by these communities is providing the expected performance on the part of those who are trained. This can be done by quantitatively evaluating the relationship between training and performance.

This study extends the scholarly literature by developing the concept of organizational alignment through a combination of Human Performance Technology literature and traditional engineering methodologies. Organizational training and performance is …

The Effect Of Model Formulation On The Comparative Performance Of Artificial Neural Networks And Regression, Michael F. Cochrane

Engineering Management & Systems Engineering Theses & Dissertations

Multiple linear regression techniques have been traditionally used to construct predictive statistical models, relating one or more independent variables (inputs) to a dependent variable (output). Artificial neural networks can also be constructed and trained to learn these complex relationships, and have been shown to perform at least as well as linear regression on the same data sets. Research on the use of neural network models as alternatives to multivariate linear regression has focused predominantly on the effects of sample size, noise, and input vector size on the comparative performance of these two modeling techniques. However, research has also shown that …

Major Factors That Influence The Employment Decisions Of Generation X Consulting Engineers, Robert William Mayfield

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research was to study Generation X consulting engineers (those born between the years 1964 and 1980) in Lynchburg, Virginia, to determine the major factors that influence their employment decisions. Engineering consulting firms throughout the United States, particularly those in Lynchburg, have struggled to recruit young engineers in recent years. The recruiting of young engineers has been regarded by managers and executives as the single greatest challenge to the consulting profession. Despite the consensus within the profession that the problem existed, recommended solutions have been mostly speculative in nature and unsubstantiated by supportive data. This study focused …