The indirect relations of workplace incivility with emotional exhaustion and supportive behaviors via self‐blame: The moderating roles of observed incivility and trait emotional control

Drawing from the social cognitive theory of self‐regulation, we develop a model linking experienced incivility to emotional exhaustion and supportive behaviors via self‐blame, with observed incivility experienced by coworkers as a first‐stage moderator and trait emotional control as a second‐stage moderator. We contend that employees will experience self‐blame if they perceive themselves to be distinct targets of incivility (i.e., observed incivility experienced by others is low). Self‐blame can potentially trigger prosocial responses for improving the situation, but self‐blaming targets rarely respond in a prosocial manner because rational attempts to do so are thwarted by deleterious negative emotions accompanying self‐blame. We argue that trait emotional control provides resources for managing these negative emotions to unleash a bright side of self‐blame, such that the relation of self‐blame with prosocial responses (i.e., being supportive to coworkers) will be more positive and the relation of self‐blame with emotional exhaustion will be less positive for individuals with high (vs. low) trait emotional control. Multiwave data collected from a sample of 220 police officers largely support our hypotheses, indicating that the indirect relation of experienced incivility with supportive behaviors via self‐blame is strongest at lower levels of observed incivility and higher levels of emotional control.     

More than a response to food insecurity: demographics and social networks of urban dumpster divers

Paradoxically, cities in the developed world are simultaneously increasing levels of food waste and food insecurity. Social assistance programmes intend to provide vulnerable populations with food, but many people instead choose to collect food from municipal waste streams, including “dumpster diving”. Most food-insecure people who dumpster dive do so from need, to supplement food from, or avoid stigma related to, social assistance programmes. However, it is increasingly common for food-secure people to choose to dumpster dive. We used participant observation and semi-structured interviews to characterise urban dumpster divers in Montréal, Quebec, identify what items they dive for, and describe their social connectivity. We found that while some divers identified as food insecure and extremely poor, most did not; primarily, divers were Caucasian, university students, holding an “alternative” identity, and without a full-time job or children. Divers required specialised knowledge and mostly recuperated food waste from grocery stores and bakeries (e.g. breads, fruits, vegetables, meat, dairy products) that significantly improved the composition and quality of their diets. Unused goods were largely gifted and rarely sold. Food-insecure divers tended to be isolated, while food-secure divers had strong social connections because they frequently exchanged knowledge and goods and held common values. Our findings indicate that the dumpster diving community in Montréal is a heterogeneous group recuperating a range of goods for a variety of reasons that reduces food waste and alleviates food insecurity. We suggest that municipal policy-makers encourage the redistribution of potentially useful goods between local businesses and willing recuperators.     

Validation of an automated data collection method for quantifying social networks in collective behaviours

The social network of preferences among group members can affect the distribution and consequences of collective behaviours. However, the behavioural contexts and taxa in which social network structure has been described are still limited because such studies require extensive data. Here, we highlight the use of an automated passive integrated transponder (PIT)-tag monitoring system for social network analyses and do so in a novel context—nestling provisioning in an avian cooperative breeder, for which direct observation of social behaviours is difficult. First, we used observers and cameras to arrive at a suitable metric of nest visit synchrony in the PIT-tag data. Second, we validated the use of this metric for social network analyses using internal nest video cameras. Third, we used hierarchical regression models with ‘sociality’ parameter to investigate structure of networks collected from multiple groups. Use of PIT tags led to nest visitation duration and frequency being obtained with a high degree of accuracy for all group members, except for the breeding female for whom accurate estimations required the use of a video camera due to her high variability in visitation time. The PIT-tag dataset uncovered significant variability in social network structure. Our results highlight the importance of combining complementary observation methods when conducting social network analyses of wild animals. Our methods can also be generalised to multiple contexts in social systems wherever repeated encounters with other individuals in closed space have ecological implications.     

A longitudinal examination of role overload and work–family conflict: The mediating role of interdomain transitions

Through the lens of boundary theory, we examine whether the relationship between role overload and work–family conflict is explained by the use of interdomain transitions. With a sample of 250 working adults, we examined whether individuals respond to role overload by engaging in interdomain transitions and how the frequency of these transitions influences work–family conflict both concurrently and over time. Results support our expectation that at a given time, interdomain transitions function as an episodic coping mechanism with short‐term costs (greater work–family conflict) and benefits (less role overload). Also, engaging in interdomain transitions was an explanatory variable linking role overload and work–family conflict. We expected that, over time, engaging in interdomain transitions would function as a preventive coping mechanism, serving to reduce role overload. Interestingly though, several of the longitudinal hypotheses were counter to prediction. Our findings provide further evidence for the use of boundary theory in examinations of the work–family interface. Insights on areas within the literature that require further theoretical development are discussed, along with a consideration of the application of emerging methodologies within our empirical designs. Copyright © 2013 John Wiley & Sons, Ltd.     

Climate change impacts on freshwater recreational fishing in the United States

We estimated the biological and economic impacts of climate change on freshwater fisheries in the United States (U.S.). Changes in stream temperatures, flows, and the spatial extent of suitable thermal habitats for fish guilds were modeled for the coterminous U.S. using a range of projected changes in temperature and precipitation caused by increased greenhouse gases (GHGs). Based on modeled shifts in available thermal habitat for fish guilds, we estimated potential economic impacts associated with changes in freshwater recreational fishing using a national-scale economic model of recreational fishing behavior. In general, the spatial distribution of coldwater fisheries is projected to contract, being replaced by warm/cool water and high-thermally tolerant, lower recreational priority (i.e., “rough”) fisheries. Changes in thermal habitat suitability become more pronounced under higher emissions scenarios and at later time periods. Under the highest GHG emissions scenario, by year 2100 habitat for coldwater fisheries is projected to decline by roughly 50 % and be largely confined to mountainous areas in the western U.S. and very limited areas of New England and the Appalachians. The economic model projects a decline in coldwater fishing days ranging from 1.25 million in 2030 to 6.42 million by 2100 and that the total present value of national economic losses to freshwater recreational fishing from 2009 to 2100 could range from $81 million to $6.4 billion, depending on the emissions scenario and the choice of discount rate.     

Consequential cognition: Exploring how attribution theory sheds new light on the firm‐level consequences of product recalls

It is unclear why some firms suffer greater negative consequences than others following a product recall. To shed light on this question, we extend attribution theory to the firm level to explore how consumers engage in an attributional process following product recalls that shapes their responses to firms. Integrating attribution theory and the demand side theoretical perspective, we assert that consumer judgments of responsibility toward manufacturers are shaped by causal data regarding the locus of causality (i.e., manufacturer or supplier) and controllability (i.e., prior knowledge or awareness) of a recalled product's potential for harm. We then examine the impact of product recall characteristics on judgments of responsibility and firm‐level outcomes using an experimental test involving responses from 320 subjects. Our findings suggest that judgments of responsibility are attributed to the manufacturing firm more when consumers are given causal information indicating that the firm is the source of, or is aware of, a product's defects. The results also indicate that judgments of responsibility can have costly firm‐level consequences in the form of reputational damage, diminished consumer purchase intentions, and increased legal damage recommendations. We discuss theoretical contributions, practical implications, and opportunities for further research.