Explaining the Effects of Data Analysis Approach Compared with the Intuitive Approach on the Strategic Decisions of Government Managers

Abstract

How is the quantity and quality of data analysis approach to strategic decision making? This study has been aimed to explain the answer. The quantity means the amount of approach application. And the quality is related to the approach comparison with the intuitive one as well as its application in four strategic decision making situations – decision making based on little information, fast decision making, risky and ambiguous conditions.

Methodology

In this study, target population includes senior managers of the relevant public and private institutions. Predictor (i.e. analysis approach) and criterion (i.e. strategic decision making) variables have three and four components, respectively. Data were collected by Likert questionnaire including multiple choice questions. The method of data collection was direct. The questionnaire reliability and validity were approved. Data was analyzed by descriptive and inferential statistical techniques such as t-test.

Results

Three methods of analysis approach are used in senior managers' strategic decision making process, but the application of this approach is less than intuitive one. Senior government and non-government managers tend to use intuitive approach.

Keywords: Quantitative and qualitative data analysis approach, data analysis approach, Intuitive data analysis approach, Strategic decision making.