The Relationship between Identifiable Attributes and Decision-Making Ability of Purchasing Personnel as Measured by the Results of a Management Game (open access)

The Relationship between Identifiable Attributes and Decision-Making Ability of Purchasing Personnel as Measured by the Results of a Management Game

This study investigated the relationship between certain biographical and personality characteristics and decision-making ability of purchasing personnel as measured by the results achieved in a complex management game.
Date: May 1973
Creator: Ellis, Norman Dean, 1933-
System: The UNT Digital Library
A Cross-Racial Study of Small Business Managers (open access)

A Cross-Racial Study of Small Business Managers

The objective of this study is to define differences and similarities in certain aspects of education, experience, and business practices of White, Black, and Latin American small businessmen, and approximately fifty questions relating to their operations were asked.
Date: August 1973
Creator: Howard, Kenneth W.
System: The UNT Digital Library
Prediction of Bankruptcy Using Financial Ratios, Information Measures, National Economic Data and Texas Economic Data (open access)

Prediction of Bankruptcy Using Financial Ratios, Information Measures, National Economic Data and Texas Economic Data

The main purpose of this study is to develop a bankruptcy prediction model for the small business firm. Data was collected from the Dallas Small Business Administration (SBA), making this study specific to its decision makers. Existing research has produced models which predominately use financial ratios and information measures either independently or combined, and a few research models have used economic trends. This study varies from past studies in that it includes regional economic variables from the states of Texas. A sample of three-year data for 138 firms included fifteen bankrupt firms. This proportion of bankrupt/nonbankrupt firms approximates the proportion of repayed/defaulted loans in the SBA. Stepwise regression, set at the .15 level of significance, reduced a total of fifty-three variables to nine. These nine variables were then used to test twelve predictive models. All twelve models tested improved the SBA repayment rate and only two of the twelve would have caused the SBA to deny loans to applicants who eventually repaid. The study determined the model that included financial ratios, information measures, and Texas economic variables as best. It was also demonstrated that some of the variables used in this model could be eliminated without decreasing the predictive power …
Date: December 1987
Creator: Moore, Ronald K. (Ronald Kenneth)
System: The UNT Digital Library