The purpose of the quantitative descriptive correlation study was to understand whether leaders of financial institutions considered operational risks when making decisions. A 6-point Likert scale questionnaire surveyed 30 leaders from 30 publicly held Small, Midsize, and Large Size financial institutions headquartered in the United States. The collection of data included demographic constructs, leader position, and size of organization. Dependent variables in the study were strategic, tactical, and operational decision types, and the independent variables were people risk, process risk, technology risk, and external event risk. Using Microsoft XLSTAT, descriptive and inferential statistics were employed to analyze the data. Statistical analysis using Pearson product-moment correlation matrix indicated a positive correlation between operational risk elements when making strategic and operational decisions and a positive correlation between people-process, process-technology, process-external, and technology-external risks when making tactical decisions, resulting in acceptance of the alternate hypotheses and rejecting the null. The findings did not result in significant evidence to support the alternate hypothesis and reject the null hypothesis for relationships between people-technology and people-external when making tactical decisions, resulting in a do not reject the null for these operational risk elements. Findings from the study may assist financial industry leaders in understanding if financial institution leaders consider operational risk when making strategic, tactical, and operational decisions affording the opportunity to improve leader decision-making in the industry.
|Commitee:||Hamilton, Diane, McEwan, Bruce|
|School:||University of Phoenix|
|School Location:||United States -- Arizona|
|Source:||DAI-A 74/07(E), Dissertation Abstracts International|
|Keywords:||Decision-making, Financial institutions, Operational risks|
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