One of the critical issues that face the accounting profession today involves choosing among alternative accounting information modes. This dissertation provides comparative empirical evidence on the predictive power of accrual-based accounting signals versus cash-flow accounting signals versus both of these signals jointly. The empirical hypotheses compare the degrees of association between the market evaluative criteria, market beta and security price behavior, and the different accounting signals. The research methodology employed includes the following. 1. Market beta and changes in security prices are used as the evaluative criteria. 2. Two regression models are developed and used to test the predictive power of the alternative accounting signals. 3. Several specifications for each model are used. These specifications are simple regression, multiple regression, interaction effect, partial correlation, incremental correlation, and time series and cross sectional analysis.

Materials management is an integrative approach to control the flow of production materials. It has been successfully practiced by numerous manufacturing firms to decrease materials cost and improve the employment of scarce resources. The need for better utilization of resources is also prevalent in service sector industries. This dissertation focused on the public utilities industry and its practices in the materials management area. Major emphasis of this research was to (1) define the state-of-the-art of materials management within the gas and electric utilities in Texas, (2) determine its impact on the corporate structure, and (3) identify opportunities for materials management in the future of the Texas utilities industry.