Making Good Decisions: An Attribution Model of Decision Quality in Decision Tasks Bethany Niese (PhDGraduate) Reza Vaezi (Dissertation Co-Chair) Michael Gallivan (Dissertation Co-Chair) Saurabh Gupta (Reader)
Overview To improve decision-making, the processes by which individuals form their beliefs about whether they have made a good decision must be understood as well as the technologies they rely on to find patterns and make sense of data. This study focuses on the factors that significantly contribute to perceptions of decision quality. Data were collected from 413 business decision-makers who used decision support technologies in their tasks. Results show that their perceptions of both their own self-efficacy and the fit between the decision support technology and the task directly affect their perception of the resulting decision’s quality. The study also indicates that task-technology fit and intolerance for ambiguity influence perceptions of self-efficacy in decision-making and satisfaction with the decision-support technology.
20 | PhD Summaries
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