Formalized Dissent and Cognitive Complexity in Group Processes and Performance*

Research suggests that two methods of introducing dissent, the dialectic inquiry (DI) and devil's advocate (DA) methods, show promise for increasing the cognitive complexity of decision makers. We investigated the joint effects of formalized dissent and group cognitive complexity by manipulating the formalized dissent method (DI or DA) used by 25 interacting groups engaged in a complex, ill-structured planning task. Participants were classified as either high or low cognitive complexity and assigned to stratified groups with members of homogeneous complexity. Results indicated that: (1) DA groups produced higher quality assumptions but took longer to generate plans than did DI groups, (2) high complexity groups generated more recommendations relative to low complexity groups, and (3) DA groups with low complexity members produced lower quality recommendations and participated less equally in decision making than did the other groups. We conclude by discussing the implications of the results for formalized dissent, cognitive complexity, and assessing managerial performance.     

Internal Migration and Spanish Regional Convergence (1972–1998)

The aim of this paper is to study the relationship between internal migration and Spanish regional convergence between 1972 and 1998, a period between the mass emigration prior to the 1970s and the mass immigration of the end of the twentieth century. The main results indicate that internal migration led to a fall in Spanish regional development gaps. However, internal migration did not lead to the disappearance of these gaps in the long term. Some regions will always receive workers, others will send them out and a third group will experience a sequence of migration reversals. The econometric methodology used allows us to identify structural breaks and to differentiate between long‐ and short‐term effects. This approach enables predictions to be made for internal migration flows in the long term in the absence of shocks.     

Calibration model with skew scale mixtures of normal distributions

This work presents a new linear calibration model with replication by assuming that the error of the model follows a skew scale mixture of the normal distributions family, which is a class of asymmetric thick-tailed distributions that includes the skew normal distribution and symmetric distributions. In the literature, most calibration models assume that the errors are normally distributed. However, the normal distribution is not suitable when there are atypical observations and asymmetry. The estimation of the calibration model parameters are done numerically by the EM algorithm. A simulation study is carried out to verify the properties of the maximum likelihood estimators. This new approach is applied to a real dataset from a chemical analysis.     

Relationship between organizational socialization and attitudes and behaviours in volunteers: the importance of organizational justice / Relación entre la socialización organizacional y las actitudes y conductas en el voluntariado: la importancia de la justicia organizacional

This study explores the influences of organizational socialization on the intention to stay and innovative behaviours using a two-time design with a sample (N = 308) of volunteers who provide advice and guidance. Furthermore, it analyses the mediating role of perceptions of organizational justice on the relationships between socialization and results. Our findings support the proposed hypotheses; that is, they showed that the higher the organizational socialization, the higher the intention to stay and the more innovative behaviour shown by the volunteers, and that both effects are mediated by the perceived organizational justice. The practical implications are discussed.     

Quasi-maximum likelihood estimation of GARCH models in the presence of missing values

This work presents a new method to deal with missing values in financial time series. Previous works are generally based in state-space models and Kalman filter and few consider ARCH family models. The traditional approach is to bound the data together and perform the estimation without considering the presence of missing values. The existing methods generally consider missing values in the returns. The proposed method considers the presence of missing values in the price of the assets instead of in the returns. The performance of the method in estimating the parameters and the volatilities is evaluated through a Monte Carlo simulation. Value at risk is also considered in the simulation. An empirical application to NASDAQ 100 Index series is presented.     

Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region

Despite escalating expenditures in firefighting, extreme fire events continue to pose a major threat to ecosystem services and human communities in Mediterranean areas. Developing a safe and effective fire response is paramount to efficiently restrict fire spread, reduce negative effects to natural values, prevent residential housing losses, and avoid causalties. Though current fire policies in most countries demand full suppression, few studies have attempted to identify the strategic locations where firefighting efforts would likely contain catastrophic fire events. The success in containing those fires that escape initial attack is determined by diverse structural factors such as ground accessibility, airborne support, barriers to surface fire spread, and vegetation impedance. In this study, we predicted the success in fire containment across Catalonia (northeastern Spain) using a model generated with random forest from detailed geospatial data and a set of 73 fire perimeters for the period 2008–2016. The model attained a high predictive performance (AUC = 0.88), and the results were provided at fine resolution (25 m) for the entire study area (32,108 km²). The highest success rates were found in agricultural plains along the nonburnable barriers such as major road corridors and largest rivers. Low levels of containment likelihood were predicted for dense forest lands and steep-relief mountainous areas. The results can assist in suppression resource pre-positioning and extended attack decision making, but also in strategic fuels management oriented at creating defensive locations and fragmenting the landscape in operational firefighting areas. Our modeling workflow and methods may serve as a baseline to generate locally adapted models in fire-prone areas elsewhere.     

Etiology of Homosexuality and Attitudes Toward Same-Sex Parenting: A Randomized Study

Attribution theory suggests the hypothesis that heterosexuals' attitudes toward homosexual sexual orientation will be more negative when homosexuality is attributed to controllable causes. Our randomized study analyzed (a) whether beliefs about the genetic or environmental etiology of the homosexual sexual orientation can be immediately modified by reading a text and (b) the causal effect of attributions about the controllability (environmental etiology) or noncontrollability (genetic etiology) of homosexual sexual orientation on the rejection of same-sex parenting and their social rights. The sample was composed of 190 Spanish university students with a mean age of 22.07 years (SD = 8.46). The results show that beliefs about the etiology of the sexual orientation could be modified by means of a written text. Furthermore, participants who believed that sexual orientation had a genetic etiology showed greater support for social rights and less rejection of same-sex parenting. However, the effects were detected only when there was a traditional opposition to the family with same-sex parenting. When the opposition was normative, the effect was not statistically significant. Our results can be useful in planning variables for intervention programs designed to foster tolerance toward and normality of sexual diversity.     

Out of Sight,Out of Mind: Distancing and the Geographic Relationship Between Electricity Consumption and Production in Massachusetts*

Objective. Based on the concept of “distancing” and its implications for ecological feedback and environmental inequality, this article examines the influence of geographic distance from power plants on residential electricity consumption in Massachusetts. Methods. Mean geographic distance to all power plants in Massachusetts was calculated to a rasterized surface and aggregated by municipality for 243 cities and towns. Using stepwise regression, annual per household residential electricity consumption by municipality was regressed on mean distance to power plants, median household income, percent minority, median number of rooms, and median age. Results. Mean geographic distance to power plants and median number of rooms emerged as statistically significant predictors of per household residential electricity consumption. Conclusions. The findings lend support to the concept of “distancing” and its implications for consumption in a domestic context. This analysis offers evidence of scale‐independent similarity between global and local phenomena of environmental inequality and resource consumption.     

The changing dynamics of land conflict in the Brazilian Amazon: The rural-urban complex and its environmental implications

The Brazilian Amazon is an area of both serious environmental degradation and social instability. Despite billions of dollars spent on economic development and the rapid pace of urbanization, deforestation is extreme and violent land conflict is intense. Although episodes of conflict over land are common in Brazilian history, this paper focuses on agrarian issues that arose with the opening of the Amazon frontier in the 1970s. The paper argues that the nature of land conflict in the eastern Brazilian Amazon is dynamic, and proposes a two-stage model to illustrate how the struggle has evolved from an agrarian phenomenon to an organized resistance that is urban-based. Recognizing the interaction between cities and rural areas in the frontier reaches of the Brazilian Amazon is key to understanding the land struggle in the face of urbanization. The analytical framework deployed considers the transformation of the region from an agrarian frontier to an urbanized frontier, assessing the dynamic nature of the land struggle and examining the implications for land cover change.