We investigate risk and ambiguity attitudes among Ethiopian farmers in one of the poorest regions of the world. Strong risk aversion and ambiguity aversion were found with the Ethiopian farmers. We compared their attitudes to those of a Western university student sample elicited by the same decision task. Ambiguity aversion was similar for farmers and students, but farmers were more risk averse. Our results show that ambiguity aversion is not restricted to Western student populations, and that studies of agricultural decisions (...) may benefit from explicitly considering ambiguity attitudes. (shrink)

A growing body of research suggests that follower perceptions of ethical leadership are associated with beneficial follower outcomes. However, some empirical researchers have found contradictory results. In this study, we use social learning and social exchange theories to test the relationship between ethical leadership and follower work outcomes. Our results suggest that ethical leadership is related positively to numerous follower outcomes such as perceptions of leader interactional fairness and follower ethical behavior. Furthermore, we explore how ethical leadership relates to and (...) is different from other leadership styles such as transformational and transactional leadership. Results suggest that ethical leadership is positively associated with transformational leadership and the contingent reward dimension of transactional leadership. With respect to the moderators, our results show mixed evidence for publication bias. Finally, geographical locations of study samples moderated some of the relationships between ethical leadership and follower outcomes, and employee samples from public sector organizations showed stronger mean corrected correlations for ethical leadership–follower outcome relationships. (shrink)

The field of rhetoric provides unique frameworks and tools for understanding the role of language in moral reasoning and corruption. Drawing on a discursive understanding of the self, we focus on how the rhetoric of conversations constructs and shapes our moral reasoning and moral behavior. Using rhetorical appeals and a moral development framework, we construct three propositions that use variation in the rhetoric of conversations to identify and predict corruption. We discuss some of the implications of our model.

Strawson proposed in the early seventies an attractive threefold distinction regarding how context bears on the meaning of 'what is said' when a sentence is uttered. The proposed scheme is somewhat crude and, being aware of this aspect, Strawson himself raised various points to make it more adequate. In this paper, we review the scheme of Strawson, note his concerns, and add some of our own. However, our main point is to defend the essence of Strawson's approach and to recommend (...) it as a starting point for research into intended meaning and context. (shrink)

Answer Set Programming is a new paradigm based on logic programming. The main component of answer set programming is a system that finds the answer sets of logic programs. During the computation of an answer set, systems are faced with choice points where they have to select a literal and assign it a truth value. Generally, systems utilize some heuristics to choose new literals at the choice points. The heuristic used is one of the key factors for the performance of (...) the system. A new heuristic for answer set programming has been developed. This heuristic is inspired by hierarchical planning. The notion of criticality, which was introduced for generating abstraction hierarchies in hierarchical planning, is used in this heuristic. The resulting system (CSMODELS) uses this new heuristic in a static way. CSMODELS is based on the system SMODELS. The experimental results show that this new heuristic is promising for answer set programming. A comparison of search times with SMODELS demonstrate CSMODELS’ usefulness. (shrink)

Action Languages are formal methods of talking about actions and their effects on fluents. One recent approach in planning is to define the domains of the planning problems using action languages. The aim of this research is to find a plan for a system defined in the action language C by translating it into a causal theory and then finding an equivalent logic program. The planning problem will then be reduced to finding the answer set (stable model) of this logic (...) program. This planner will be added as an extension to the Causal Calculator (CCALC) which is a model checker for the language of the causal theories. (shrink)