Evaluation of Multicriteria Decision Analysis Algorithms in Food Safety: A Case Study on Emerging Zoonoses Prioritization

Decision making in food safety is a complex process that involves several criteria of different nature like the expected reduction in the number of illnesses, the potential economic or health-related cost, or even the environmental impact of a given policy or intervention. Several multicriteria decision analysis (MCDA) algorithms are currently used, mostly individually, in food safety to rank different options in a multifactorial environment. However, the selection of the MCDA algorithm is a decision problem on its own because different methods calculate different rankings. The aim of this study was to compare the impact of different uncertainty sources on the rankings of MCDA problems in the context of food safety. For that purpose, a previously published data set on emerging zoonoses in the Netherlands was used to compare different MCDA algorithms: MMOORA, TOPSIS, VIKOR, WASPAS, and ELECTRE III. The rankings were calculated with and without considering uncertainty (using fuzzy sets), to assess the importance of this factor. The rankings obtained differed between algorithms, emphasizing that the selection of the MCDA method had a relevant impact in the rankings. Furthermore, considering uncertainty in the ranking had a high influence on the results. Both factors were more relevant than the weights associated with each criterion in this case study. A hierarchical clustering method was suggested to aggregate results obtained by the different algorithms. This complementary step seems to be a promising way to decrease extreme difference among algorithms and could provide a strong added value in the decision-making process.     

Work overload and intimidation: The moderating role of resilience

Work overload is a critical but understudied stressor at work, particularly for boundary-spanning positions. Recent studies have highlighted the need for more research on the identification of different predictors of the use of intimidation, a type of assertive impression management tactic. Relying on Lazarus's transactional theory, this study hypothesized and investigated a mediated moderation model that includes resilience, work overload, and its outcomes.This paper contributes to the organizational literature by examining the use of intimidation by salespeople as a reaction to stressful circumstances and the association between this tactic and salespeople's performance. The information provided by 248 employee–supervisor dyads confirmed the proposed model. Work overload has a positive association with intimidation, and the direct effect of work overload on intimidation depends on the level of an employee's resilience. Finally, the use of intimidation has a negative association with supervisor-rated performance.     

Revisiting the Role of Impulsivity and Compulsivity in Problematic Sexual Behaviors

Impulsivity and compulsivity are transdiagnostic features associated with clinically relevant aspects of psychiatric disorders, including addictions. However, little research has investigated how impulsivity and compulsivity relate to hypersexuality and problematic pornography use. Thus, the aims of the present study were to investigate (a) self-reported impulsivity and compulsivity with respect to hypersexuality and problematic pornography use and (b) the similarities and possible differences between hypersexuality and problematic pornography use in these domains. Utilizing structural equation modeling (SEM) in a large community sample (N = 13,778 participants; female = 4,151, 30.1%), results indicated that impulsivity (β = .28, β = .26) and compulsivity (β = .23, β = .14) were weakly related to problematic pornography use among men and women, respectively. Impulsivity had a stronger relationship (β = .41, β = .42) with hypersexuality than did compulsivity (β = .21, β = .16) among men and women, respectively. Consequently, impulsivity and compulsivity may not contribute as substantially to problematic pornography use as some scholars have proposed. On the other hand, impulsivity might have a more prominent role in hypersexuality than in problematic pornography use. Future research should examine further social and situational factors associated with problematic pornography use.     

ALLIANCES IN THE SHADOW OF CONFLICT

Victorious alliances often fight about the spoils of war. This article presents an experiment on the determinants of whether alliances break up and fight internally after having defeated a joint enemy. First, if peaceful sharing yields an asymmetric rent distribution, this increases the likelihood of fighting. In turn, anticipation of the higher likelihood of internal fight reduces the alliance's ability to succeed against the outside enemy. Second, the option to make nonbinding nonaggression declarations between alliance members does not make peaceful settlement within the alliance more likely. Third, higher differences in the alliance players' contributions to alliance effort lead to more internal conflict and more intense fighting. (JEL D72, D74)     

Application of the Hyper‐Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes

The hyper‐Poisson distribution can handle both over‐ and underdispersion, and its generalized linear model formulation allows the dispersion of the distribution to be observation‐specific and dependent on model covariates. This study's objective is to examine the potential applicability of a newly proposed generalized linear model framework for the hyper‐Poisson distribution in analyzing motor vehicle crash count data. The hyper‐Poisson generalized linear model was first fitted to intersection crash data from Toronto, characterized by overdispersion, and then to crash data from railway‐highway crossings in Korea, characterized by underdispersion. The results of this study are promising. When fitted to the Toronto data set, the goodness‐of‐fit measures indicated that the hyper‐Poisson model with a variable dispersion parameter provided a statistical fit as good as the traditional negative binomial model. The hyper‐Poisson model was also successful in handling the underdispersed data from Korea; the model performed as well as the gamma probability model and the Conway‐Maxwell‐Poisson model previously developed for the same data set. The advantages of the hyper‐Poisson model studied in this article are noteworthy. Unlike the negative binomial model, which has difficulties in handling underdispersed data, the hyper‐Poisson model can handle both over‐ and underdispersed crash data. Although not a major issue for the Conway‐Maxwell‐Poisson model, the effect of each variable on the expected mean of crashes is easily interpretable in the case of this new model.     

The Structure of Social Cohesion: An Analysis of Its Levels and Dimensions in Mexico City1

This article aims to conceptualize and assess social cohesion in Mexico, taking into account their multilevel and multidimensional nature. To measure social cohesion levels and dimensions, we used the Social Welfare Survey (N = 2871) for the 16 municipalities in Mexico City. Then, we employed the distance method to construct a social cohesion index. In addition, we define social cohesion degrees (very high, high, medium, and low) to explore the relevance of each indicator. The findings suggest that the objective and subjective indicators at the meso‐level has the highest contribution, regardless of the territory or degrees of cohesion. This finding suggests that neighborhoods are well organized for solving everyday problems. Meanwhile, the willingness to help both friends and members of one’s network was not a priority, which can be explained by the suspicion toward other people and the prevalent economic conditions.     

“Should I Trust the Bank or the Social Movement?” Motivated Reasoning and Debtors' Work to Accept Misinformation

How can people believe corporate and state misinformation even if a social movement organization in their community has been countering this misinformation for years? Why do people knowingly accept misinformation without even being upset about it? I address these questions by analyzing ethnographic data and interviews with 84 Chilean low‐income housing debtors, whom, like many Chileans, are victims of financial misinformation. While the state and banks had significant agency in inducing the unproblematic acceptance of misinformation, debtors also played an active role in the processes. First, debtors had to decide whom to trust, which was not only a cognitive problem about evidence but also a behavioral and practical problem involving risks. Second, debtors engaged in “motivated reasoning”—affect‐driven biased information processing—to dismiss the possibility of being misinformed, to downplay the significance of misinformation, and to direct blame away from misinforming institutions. The latter two practices reduced debtors' anger about being misinformed. The findings have implications for studies of social movement framing and counterinformation, for the cognitive psychology of misinformation, and for the sociology and social psychology of acquiescence.     

Measuring and Analysing Community Action for Health: An Indicator-Based Typology and Its Application to the Case of Barcelona

Social welfare systems face major challenges, particularly in a context of social transformation, austerity and growing inequalities. This process is highly visible in the health sector. In this context, many voices ask for public sector reforms and community action for health as a relevant practice. However, analyses and evaluations of this kind of practices are still limited, particularly beyond the cases of single community health actions or interventions. We still need to identify key indicators for measuring and characterising what community action for health consists of, as well as to what degree this kind of intervention has been developed across a city. Based on a research about 49 neighborhoods in Barcelona, this paper creates an index to measure and characterize community action for health, using different indicators: citizen engagement programs in community health, organizational transformation of the health and social protection systems, stable participatory structures with specific teams, and urban health policies. We apply the index to the case of Barcelona and build a map of community action for health in the city using 4 categories: strong community health development (one neighbourhood), middle (9 neighborhoods), emergent (25 neighborhoods) and without specific community health promotion (14 neighbourhoods). We find that community action for health is extensive within the city of Barcelona, have great potential as a response to the need for change in the relationship between the public (health) sector and the citizenry, but is still implemented unequally across the urban territory in terms of types and methods.