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By Christoph Samitsch

​Christoph Samitsch investigates no matter if decision-making potency is being stimulated by means of the standard of information and data. result of the learn supply proof that outlined facts caliber dimensions impact decision-making functionality in addition to the time it takes to make a decision.

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User-related parameters: The authors distinguish between stability of scores and stability of weights. Scores can be static or dynamic. As an example, company reputation would be considered static, since it does not change from one minute to the other. Dividend yield can be considered dynamic due to its frequent changes. Quality of data for mobile users is higher when the stability of scores is displayed to them. For instance, 0 could reflect a dynamic value that changes from one second to the other, whereas 100 could indicate the most static value.

Group 5 In this group, data was only presented in tabular form. The difference to the other groups is that some of the demand data points were flawed. In addition, there was an indicator of how accurate data was for each of the data points, shown as percentage. As an example, demand for August 2011 was 270, with 90% accuracy of the data collected, whereas demand for November 2011 contained an error. “180r” is intended to invoke a different perception of data accuracy. The lack of data accuracy was also indicated with a reduction in the percentage (80%).

Another example could be that there is a difference in terms of the amount of time it takes to make a decision between people whose primary occupation is student, and people whose primary occupation is something else. Thus, the second research question can be formulated as presented below. RQ2: Can variations in decision-making efficiency be explained in terms of variations in data quality dimensions, age, occupation, gender, and supporting tools used to perform decision-making tasks? 25 C. 1007/978-3-658-08200-0_3, © Springer Fachmedien Wiesbaden 2015 Hypotheses for RQ2 ‫ܪ‬ଷ : The variables accuracy, timeliness, completeness, appropriate amount, interpretability, ease of understanding, representational consistency, concise representation, relevancy, age, occupation, and supporting tools used have no influence on the time it takes to make a decision.

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