Leadership scholars are faced with pressing methodological issues that challenge our current scholarship. In this paper, we discuss methodological concerns such as multilevel hypothesis testing, construct validity of group-level scales, sampling countries in cross-cultural research, self-report...

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...

Ever since the emergence of economics as a distinct scientific discipline, policy makers have turned to economic models to guide policy interventions. If policy makers seek to enhance growth of an open capitalist economy, they have to take into account, firstly, the uncertainties,...

We present the generalized hybrid averaging (GHA) operator. It is a new aggregation operator that generalizes the hybrid averaging (HA) operator by using the generalized mean. Thus, we are able to generalize a wide range of mean operators such as the HA, the hybrid geometric averaging (HGA), the...

Many real projects complete through the realization of one and only one path of various possible network paths. Here, these networks are called alternative stochastic networks (ASNs). It is supposed that the nodes of considered network are probabilistic with exclusive-or receiver and...

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...

Most forms of risky behavior reach their peak during adolescence. A prominent line of research is exploring the relationship between people's emotional self-efficacy and risk taking, but little is known about this relationship in the cognitive-deliberative domain among adolescents. The main aim...

Business decision making is a critical factor to the viability of companies. In the current more dynamic, global and competitive scenario, this critical factor opens space to wider requirements. Modeling and simulation have traditionally formed a substantial part of the toolkit used to support...

Background: Identifying patient priorities and preference measurements have gained importance as patients claim a more active role in health care decision making. Due to the variety of existing methods, it is challenging to define an appropriate method for each decision problem. This study...