A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris

This paper proposes a functional connectivity approach, inspired by brain imaging literature, to model cross-sectional dependence. Using a varying parameter framework, the model allows correlation patterns to arise from complex economic or social relations rather than being simply functions of economic or geographic distances between locations. It nests the conventional spatial and factor model approaches as special cases. A Bayesian Markov Chain Monte Carlo method implements this approach. A small scale Monte Carlo study is conducted to evaluate the performance of this approach in finite samples, which outperforms both a spatial model and a factor model. We apply the functional connectivity approach to estimate a hedonic housing price model for Paris using housing transactions over the period 1990–2003. It allows us to get more information about complex spatial connections and appears more suitable to capture the cross-sectional dependence than the conventional methods.     

Simulation as a research tool in management studies

Simulation is still rarely used by management researchers, particularly those who study business and other systems as social rather than technical or mechanical entities. Why? This article explores this question. The validation issue in simulation research and several examples of good simulation practice are discussed. The main reasons for the low status of simulation research in management studies are: the emphasis on academic specialization rather than craftsmanship, the complicated systems rather than complex systems viewpoint, and the paradigm of the empirical sciences rather than design sciences which prevails in management studies.     

A review of the effectiveness of empowering leadership

Based on a review of empirical literature on empowering leadership, given incongruent and mixed results, the current work suggests reconsidering the effectiveness of empowering leadership. We propose a framework for examining the effectiveness of empowering leadership that considers: 1) feasibility of non-linear main effects of empowering leadership on work-related outcomes, 2) possibility of reverse causation between empowering leadership and work-related outcomes, 3) potential contradictory mediating mechanisms through which empowering leadership influences work-related outcomes, 4) consideration of boundary conditions which could alter the relationships between empowering leadership and work-related outcomes, and 5) consideration of levels-of-analysis and multilevel issues in empowering leadership. Our framework considers the multifaceted nature of empowering leadership and offers a guiding tool for advancing future research in this area.     

Relations between Theory of Mind and Indirect and Physical Aggression in Kindergarten: Evidence of the Moderating Role of Prosocial Behaviors

The present study examined the association between theory of mind and indirect versus physical aggression, as well as the potential moderating role of prosocial behavior in this context. Participants were 399 twins and singletons drawn from two longitudinal studies in Canada. At five years of age, children completed a theory of mind task and a receptive vocabulary task. A year later, teachers evaluated children's indirect and physical aggression and prosocial behavior. Indirect aggression was significantly and positively associated with theory of mind skills, but only in children with average or low levels of prosocial behavior. Physical aggression was negatively associated with prosocial behavior but not with theory of mind. Each analysis included gender, receptive vocabulary, and the respective other subtype of aggression as control variables. These results did not differ between girls and boys or between twins and singletons. Theoretical and clinical implications of these findings are discussed.     

The role of leadership in shared mental model convergence and team performance improvement: An agent-based computational model

Research in shared mental models has immeasurably aided our understanding of effective teamwork and taskwork. However, little research has focused on the role that leaders play, if any, in influencing, developing and/or fostering shared mental models and thereby improving team performance. We developed an agent-based computational model based on McComb's theory of three-phase mental model development, where agents repeatedly share individual opinions (orientation phase), evaluate and respond to the opinions expressed by others (differentiation phase), and modify their understanding of the team based on the responses (integration phase). Leadership and team properties are represented in three experimental parameters: social network structure, heterogeneity of agents' domains of expertise, and level of their mutual interest. Participative leadership is represented by a fully connected network, while Leader–Member eXchange (LMX) is represented by a fully connected network of in-group members and several out-group members connected only to the leader. Our simulation results show that, in general, participative leadership promotes mental model convergence better than LMX. In the meantime, the team performance improvement is achieved by participative leadership only when members have both heterogeneous domains of expertise and strong mutual interest. In all other conditions, participative leadership causes the worst degradation of team performance through team development processes, while LMX is the best to minimize such team degradation. Implications and suggestions for future research are provided.     

Longitudinal Links Between Gambling Participation and Academic Performance in Youth: A Test of Four Models

Gambling participation and low academic performance are related during adolescence, but the causal mechanisms underlying this link are unclear. It is possible that gambling participation impairs academic performance. Alternatively, the link between gambling participation and low academic performance could be explained by common underlying risk factors such as impulsivity and socio-family adversity. It could also be explained by other current correlated problem behaviors such as substance use. The goal of the present study was to examine whether concurrent and longitudinal links between gambling participation and low academic performance exist from age 14 to age 17 years, net of common antecedent factors and current substance use. A convenience sample of 766 adolescents (50.6% males) from a longitudinal twin sample participated in the study. Analyses revealed significant, albeit modest, concurrent links at both ages between gambling participation and academic performance. There was also a longitudinal link between gambling participation at age 14 and academic performance at age 17, which persisted after controlling for age 12 impulsivity and socio-family adversity as well as current substance use. Gambling participation predicts a decrease in academic performance during adolescence, net of concurrent and antecedent personal and familial risk factors.