This paper introduces a unified model for organizational change that is designed to help change analysts think through the decision-making process. Most organizational leaders do not manage change effectively because they fail to acquire the minimum amount of information necessary to make a...

Several countries practice a system where laymen, who lack legal education, participate in the judicial decision making. Yet, little is known about their potential influence on the court rulings. In Sweden lay judges (namndeman) are affiliated with the political parties and appointed in...

This paper analyzes a boundedly rational decision maker who is uncertain about his preference and faces the following trade-off: adding a good to the choice set has a positive option value but increases the complexity of the choice problem. The increased complexity is modeled as a reduction of...

In this paper we propose the use of preferred outcome distributions as a new method to elicit individuals' value and probability weighting functions in decisions under risk. Extant approaches for the elicitation of these two key ingredients of individuals' risk attitude typically rely on a long,...

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in...

The ability to evaluate project proposals, assessing future success, and organizational value is critical to overall business performance for most enterprises. Yet, predicting project success is difficult and often unreliable. A four-year field study shows that the effectiveness of available...

Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in many fields including healthcare and medicine. In this exemplary study, using digitized signal data, we developed predictive models employing three machine learning methods to...

In this paper we apply robust linear programming technique for multidimensional analysis of preference (LINMAP) method for a decision making problem. During the last two decades, many methods have been extensively used for decision making problems. However, there is no investigation among many...

We formalise and present an innovative general approach for developing complex system models from survey data by applying Bayesian Networks. The challenges and approaches to converting survey data into usable probability forms are explained and a general approach for integrating expert knowledge...

This paper attempts an empirical examination of the practicality of strategic management accounting (SMA) adoption in banks in Nigeria, a developing country. It investigates the extent of practice and contributions of SMA to strategic decision making. Survey data were obtained from 71 bank...