Organizational disidentification and change-oriented citizenship behavior

This study proposes that the extent to which employees have disidentified with their organization might reduce the likelihood that they undertake change-oriented citizenship behavior, though this negative link might be buffered by employees’ access to two personal resources (self-enhancement motive and benevolence) and two contextual resources (citizenship climate and job involvement). To test these theoretical predictions, the study gathers survey data from employees in the telecommunications sector in Canada. The results show that prior organizational disidentification curtails voluntary efforts to improve current organizational practices, but this effect is weaker when employees (1) find it important to make a good impression on others, (2) are benevolent toward others, (3) perceive that their organization encourages voluntary efforts, and (4) are highly involved with their jobs. These four factors accordingly diminish the risk that the extent to which employees have cognitively separated from their employer escalates into a reluctance to add to organizational effectiveness on a voluntary basis.     

How publics react to situational and renewing organizational responses across crises: Examining SCCT and DOR in social-mediated crises

The prevalence of social media among networked publics calls for more research regarding how organizations can conduct effective crisis communication on social networking sites. Based on the situational crisis communication theory (SCCT) and the discourse of renewal (DOR) theory, this study examined how social media publics’ sentiments were affected by situational and renewing organizational responses in various clusters of crises. Twitter data of six crises representing three crisis clusters varying in the responsibility attribution (i.e., ambiguous, accidental, and preventable) were collected. We conducted a content analysis on organizations’ official tweets during crises (N = 59) and sentiment analysis on publics’ replies on Twitter (N = 4,340). The results showed that publics’ positive sentiments toward organizations were affected by organizational crisis responses that included instructing information, sympathy, systemic organizational learning, and effective organizational rhetoric. We recommend that crisis managers express sympathy toward publics as well as organizational learning that prevents a crisis from happening again.     

Scrambled systems: the (im)mobilities of ‘storm Desmond’

This article examines a 3-day blackout, triggered by a ‘1-in-100-year’ rainfall event. Storms and floods account for almost three-quarters of weather-related disasters, and are typically accompanied by cascading infrastructure failures, which pattern and amplify their effects in highly significant ways. Such disruptions reveal aspects of everyday life that ordinarily remain obscure, including capacities for resilience embodied in people, cities and infrastructure. The article proposes that disruption events be understood in terms of ‘scrambles’, as they involve abrupt demobilisation and remobilisation of a range of people and materials. The article firstly examines the astonishing capacity for failure latent in ‘pervasively powered’ arrangements, as well as the many ways in which people and things were ‘scrambled’ in response. The article then proceeds to explore the ways in which vulnerabilities result in part from mobilisation in response to previous disruption events, before examining the ‘circuits’ that link far-flung places in mobile disaster geographies, global patterns of electricity dependence, the rise of data overload in the ‘cloud’ to carbon overload in the atmosphere. The article concludes by presenting further evidence in support of the thesis that disruptions and disasters are part of a ‘new normal’, and what this means for prevailing sociotechnical arrangements reliant on ‘sunk’ infrastructure.     

Critical Reflections on the March for Science

Using MacKendrick (2017) as a springboard, this essay explores the March for Science as an example of social mobilization. I lay out some concerns regarding the use of this tactic as a response to attacks on science and suggest some ways sociology could contribute to the development of more efficacious actions to address the denigration of scientific knowledge.     

Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness

Understanding the risk of biological invasions associated with particular transport pathways and source regions is critical for implementing effective biosecurity management. This may require both a model for physical connectedness between regions, and a measure of environmental similarity, so as to quantify the potential for a species to be transported from a given region and to survive at a destination region. We present an analysis of integrated biosecurity risk into Australia, based on flights and shipping data from each global geopolitical region, and an adaptation of the “range bagging” method to determine environmental matching between regions. Here, we describe global patterns of environmental matching and highlight those regions with many physical connections. We classify patterns of global invasion risk (high to low) into Australian states and territories. We validate our analysis by comparison with global presence data for 844 phytophagous insect pest species, and produce a list of high‐risk species not previously known to be present in Australia. We determined that, of the insect pest species used for validation, the species most likely to be present in Australia were those also present in geopolitical regions with high transport connectivity to Australia, and those regions that were geographically close, and had similar environments.     

A Data‐Driven Approach to Assessing Supply Inadequacy Risks Due to Climate‐Induced Shifts in Electricity Demand

The U.S. electric power system is increasingly vulnerable to the adverse impacts of extreme climate events. Supply inadequacy risk can result from climate‐induced shifts in electricity demand and/or damaged physical assets due to hydro‐meteorological hazards and climate change. In this article, we focus on the risks associated with the unanticipated climate‐induced demand shifts and propose a data‐driven approach to identify risk factors that render the electricity sector vulnerable in the face of future climate variability and change. More specifically, we have leveraged advanced supervised learning theory to identify the key predictors of climate‐sensitive demand in the residential, commercial, and industrial sectors. Our analysis indicates that variations in mean dew point temperature is the common major risk factor across all the three sectors. We have also conducted a statistical sensitivity analysis to assess the variability in the projected demand as a function of the key climate risk factor. We then propose the use of scenario‐based heat maps as a tool to communicate the inadequacy risks to stakeholders and decisionmakers. While we use the state of Ohio as a case study, our proposed approach is equally applicable to all other states.     

Industrial relations and adjustments to the crisis: A comparative micro‐statistical analysis of France and Great Britain

In this comparative study, the authors analyse the relationships between industrial relations and workforce or wage adjustments in response to the 2007–08 crisis, using two highly comparable establishment‐level surveys conducted in Great Britain (WERS) and France (REPONSE) in 2010–12. Notwithstanding contextual differences in the countries’ productive systems and the timing and impact of the crisis, the relationships between industrial relations and adjustment strategies appear to have been similar (trade union presence not preventing adjustments). Differences in industrial relations are therefore not found to provide an explanation for the different modes of adjustment observed at the macroeconomic level.     

A port in a storm: Spontaneous volunteering and grassroots movements in Amsterdam. A resilient approach to the (European) refugee crisis

This article seeks to expand knowledge about spontaneous volunteering in Amsterdam during the European refugee crisis in the winter of 2015–16. As formal institutions, which relied on a top–down command and control approach, were unable to handle the relatively large number of refugees who arrived in a short period of time, grassroots social movements based on bottom–up participation emerged. Grassroots volunteers were not only politically engaged, protesting against the strict refugee reception policy, but they also became involved in the crisis response, showing a great deal of flexibility. Although the social movements struggled with their organizational structures, they were able to adapt their missions and structures to changing circumstances. To achieve a resilience‐based response to future refugee influxes, this article advocates for formal response organizations to dismantle their static, top–down approach, and for social movements to find a balance between participation and professionalism. If institutionalized refugee response organizations adapt to the dynamics of local conditions, they could create the conditions for resilient solutions in the crisis context.     

Farmers’ Risk‐Based Decision Making Under Pervasive Uncertainty: Cognitive Thresholds and Hazy Hedging

Researchers in judgment and decision making have long debunked the idea that we are economically rational optimizers. However, problematic assumptions of rationality remain common in studies of agricultural economics and climate change adaptation, especially those that involve quantitative models. Recent movement toward more complex agent‐based modeling provides an opportunity to reconsider the empirical basis for farmer decision making. Here, we reconceptualize farmer decision making from the ground up, using an in situ mental models approach to analyze weather and climate risk management. We assess how large‐scale commercial grain farmers in South Africa (n = 90) coordinate decisions about weather, climate variability, and climate change with those around other environmental, agronomic, economic, political, and personal risks that they manage every day. Contrary to common simplifying assumptions, we show that these farmers tend to satisfice rather than optimize as they face intractable and multifaceted uncertainty; they make imperfect use of limited information; they are differently averse to different risks; they make decisions on multiple time horizons; they are cautious in responding to changing conditions; and their diverse risk perceptions contribute to important differences in individual behaviors. We find that they use two important nonoptimizing strategies, which we call cognitive thresholds and hazy hedging, to make practical decisions under pervasive uncertainty. These strategies, evident in farmers' simultaneous use of conservation agriculture and livestock to manage weather risks, are the messy in situ performance of naturalistic decision‐making techniques. These results may inform continued research on such behavioral tendencies in narrower lab‐ and modeling‐based studies.     

Translating cross-lagged effects into incidence rates and risk ratios: The case of psychosocial safety climate and depression

Longitudinal studies are the gold standard of empirical work and stress research whenever experiments are not plausible. Frequently, scales are used to assess risk factors and their consequences, and cross-lagged effects are estimated to determine possible risks. Methods to translate cross-lagged effects into risk ratios to facilitate risk assessment do not yet exist, which creates a divide between psychological and epidemiological work stress research. The aim of the present paper is to demonstrate how cross-lagged effects can be used to assess the risk ratio of different levels of psychosocial safety climate (PSC) in organisations, an important psychosocial risk for the development of depression. We used available longitudinal evidence from the Australian Workplace Barometer (N?=?1905) to estimate cross-lagged effects of PSC on depression. We applied continuous time modelling to obtain time-scalable cross effects. These were further investigated in a 4-year Monte Carlo simulation, which translated them into 4-year incident rates. Incident rates were determined by relying on clinically relevant 2-year periods of depression. We suggest a critical value of PSC?=?26 (corresponding to ?1.4 SD), which is indicative of more than 100% increased incidents of persistent depressive disorder in 4-year periods compared to average levels of PSC across 4 years.