Doing something about the weather

Recent developments in weather forecasting have created the potential for the operations research and management science (OR/MS) community to have a tremendous impact in distilling weather information into valuable decision tools. Weather-sensitive applications include transport, electric utilities, agriculture, and public emergency management. This article surveys existing research and practice using OR/MS tools to integrate weather forecasts in decision-making. Because the conditions that created the potential for OR/MS contributions—in particular an explosion in the amount of relevant forecast data—are quite recent, the amount of existing OR/MS work is modest. This article also describes promising but unexplored research opportunities for the OR/MS community.     

Hazards Education for Youth: A Quasi-Experimental Investigation

No experimental research has examined the hypothesized benefits of hazards education programs for youth in helping to increase community resilience. This preliminary study followed on from correlational studies and examined the role these programs play in helping increase child and family problem- and emotion-focused coping. Children (n= 219) were randomly assigned, based on classroom, to a condition. The "usual condition" consisted of a reading and discussion program. The "emergency management" condition consisted of the usual condition combined with emergency-management-focused teaching and increased interaction between youth and home. Factors assessed included both problem- and emotion-focused factors: knowledge of mitigation and emergency response activities, family and home hazard adjustments, hazard-related fears, emotion-focused coping ability, and perceptions of parents' hazard-related fears. Overall, the results supported the role for hazards education programs in increasing resilience in youth and at home. In particular, large intervention produced effect sizes were seen for both child- and parent-reported hazard adjustments. Significant interactions provided additional support for the role of an emergency management focus in the problem-focused areas of (1) both child- and parent-reported hazard adjustments and (2) increased hazards-based knowledge in the youth. These initial findings provide a continuing foundation for further research in this emerging area. Discussion considers the role for such programs in the future.     

Disasters as Learning Experiences or Disasters as Policy Opportunities? Examining Flood Insurance Purchases after Hurricanes

Flood insurance is a critical risk management strategy, contributing to greater resilience of individuals and communities. The occurrence of disasters has been observed to alter risk management choices, including the decision to insure. This has previously been explained by learning and behavioral biases. When it comes to flood insurance, however, federal disaster aid policy could also play a role since recipients of aid are required to maintain insurance. Using a database of flood insurance policies for all states on the Atlantic and Gulf coasts of the United States between 2001 and 2010, this article uses fixed effects models to examine how take‐up rates respond to the occurrence of hurricanes and tropical storms, as well as disaster declarations and aid requirements. Being hit by at least one hurricane in the previous year increases net flood insurance purchases by 7.2%. This effect dies out by three years after the storm. A presidential disaster declaration for floods increases take‐up rates by 6.7%. When disaster aid grants are made available to households, take‐up rates increase by 5%; this accounts for the majority of the increase in policies after occurrence of a hurricane. When the models are estimated taking into account which policies are required by disaster aid, hurricanes are estimated to lead to only a 1.5% increase in voluntary purchases. This overlooked federal policy that disaster aid recipients insure is responsible for a majority of insurance purchases postdisaster.     

11 The Effects of Governments on Management and Organization

Abstract

We review and integrate existing research from organization theory, strategy, organizational behavior, economics, sociology and political science on the effects of governments on organization and management, with a focus on how governing ideology and government capability influence independent organizations’ forms, strategies, and their participants’ behavior. When brought together these works suggest significant research opportunities in the fields of management and organization, as well as new perspectives on public policy challenges. Several avenues of potentially profitable empirical research include more attention to the influence of government on corporate strategies, more research on the strategies of pursuing corruption and government capture for competitive advantage, the role of government in fostering innovation and the growth of entrepreneurial organizations, and extra‐organizational contextual effects on managerial and employee organizational behavior. Possible public policy implications are illustrated with an application to the role of organizations in national wealth generation and dispersion.     

Chemical Manufacturing and Refining Industry Legitimacy: Reflective Management,Trust, Precrisis Communication to Achieve Community Efficacy

Calls for emergency right‐to‐know in the 1980s, and, in the 1990s, risk management planning, motivated U.S. chemical manufacturing and refining industries to operationalize a three‐pronged approach to risk minimization and communication: reflective management to increase legitimacy, operational safety programs to raise trust, and community engagement designed to facilitate citizens’ emergency response efficacy. To assess these management, operational, and communication initiatives, communities (often through Local Emergency Planning Committees) monitored the impact of such programs. In 2012, the fourth phase of a quasi‐longitudinal study was conducted to assess the effectiveness of operational change and community outreach in one bellwether community. This study focuses on legitimacy, trust, and response efficacy to suggest that an industry can earn legitimacy credits by raising its safety and environmental impact standards, by building trust via that change, and by communicating emergency response messages to near residents to raise their response efficacy. As part of its campaign to demonstrate its concern for community safety through research, planning, and implementation of safe operations and viable emergency response systems, this industry uses a simple narrative of risk/emergency response—shelter‐in‐place—communicated by a spokes‐character: Wally Wise Guy.     

Correlates of Hazard Education Programs for Youth

Virtually no research has examined the hypothesized benefits of hazard education programs for youth in helping to increase community resilience. This exploratory study examined the role of these programs in helping to increase child and family resilience to a range of future hazards. Various aspects of hazards programs were examined in relation to a wide range of child- and parent-reported hazard adjustments in a sample of 560 schoolchildren. Additional factors assessed included childrens' risk perceptions, knowledge of response-related protective activities, and hazard-related emotional factors. Overall, the results supported the role of hazards education programs in increasing hazard adjustments in the home. The findings also supported various aspects of education program involvement as being related to more realistic risk perceptions, increased knowledge, and increased interaction with caregivers. Analyses identified the following features of these programs as being particularly important: provision of specific knowledge (e.g., an emergency management perspective); multiple program involvement over time; and, importantly, promotion of increased interaction between children and parents. Overall, findings supported the idea that hazards education programs for youth provide one gateway through which communities can increase their resilience to the effects of a major hazardous event. Findings also provided an initial foundation for further research in this emerging area.     

Workforce/Population,Economy, Infrastructure,Geography, Hierarchy,and Time (WEIGHT): Reflections on the Plural Dimensions of Disaster Resilience

The concept of resilience and its relevance to disaster risk management has increasingly gained attention in recent years. It is common for risk and resilience studies to model system recovery by analyzing a single or aggregated measure of performance, such as economic output or system functionality. However, the history of past disasters and recent risk literature suggest that a single-dimension view of relevant systems is not only insufficient, but can compromise the ability to manage risk for these systems. In this article, we explore how multiple dimensions influence the ability for complex systems to function and effectively recover after a disaster. In particular, we compile evidence from the many competing resilience perspectives to identify the most critical resilience dimensions across several academic disciplines, applications, and disaster events. The findings demonstrate the need for a conceptual framework that decomposes resilience into six primary dimensions: workforce/population, economy, infrastructure, geography, hierarchy, and time (WEIGHT). These dimensions are not typically addressed holistically in the literature; often they are either modeled independently or in piecemeal combinations. The current research is the first to provide a comprehensive discussion of each resilience dimension and discuss how these dimensions can be integrated into a cohesive framework, suggesting that no single dimension is sufficient for a holistic analysis of a disaster risk management. Through this article, we also aim to spark discussions among researchers and policymakers to develop a multicriteria decision framework for evaluating the efficacy of resilience strategies. Furthermore, the WEIGHT dimensions may also be used to motivate the generation of new approaches for data analytics of resilience-related knowledge bases.     

Challenges facing women leaders in Saudi Arabia

As a result of increasing enrolment of women in all levels of education and various fields of employment and aspects of public life in Saudi Arabia, the last 10 years witnessed a growing participation of women in senior management positions and in the decision-making process in public and private sectors. Recent developments indicate a clear strategic direction of policy makers and development plans in Saudi Arabia towards an even greater role for women in public life and into top leadership positions in public domains. In spite of the considerable role of women in Saudi society, evidence suggests that women in leadership positions are facing a different reality from their male counterparts due to organizational, personal and cultural challenges that impede their effectiveness as leaders. Through a survey of 160 women leaders, this article attempts to identify the challenges that women leaders face in government sectors in Saudi Arabia. Findings indicate that the main challenges are: structural challenges, lack of resources and lack of empowerment, while cultural and personal challenges ranked last, contrary to common perception. The study ultimately provides a set of recommendations with implications for leadership development in general, in order to address challenges that women leaders face and enhance their leadership role.     

Facilitating Redundancy‐Oriented Management with Gene‐Therapy‐Oriented Management Against Disaster

This article tests the hypothesis that “if redundancy‐oriented management has negative aspects, then it could be facilitated by gene‐therapy‐oriented management.” Negative aspects include disadvantages, misjudgments, or miscalculations. The article provides a newly revised principle of disaster management by studying gene‐therapy‐oriented management. Based on qualitative analysis, redundancy‐oriented and gene‐therapy‐oriented management are analyzed via five variables: governments, business, volunteers, households, and the international community. The article is valuable because an analytical frame on gene‐therapy‐oriented management is systematically reconceptualized for the field of disaster management via three elements: unhealthy proteins (problems or failed measures), a vector (new or modified solutions), and target cells (positive outcomes). In accepting the hypothesis, the key tenet is that stakeholders have to assist the progress of redundancy‐oriented management with gene‐therapy‐oriented management by paying attention to the genes of each disaster.     

Toward Disaster‐Resilient Cities: Characterizing Resilience of Infrastructure Systems with Expert Judgments

Resilient infrastructure systems are essential for cities to withstand and rapidly recover from natural and human‐induced disasters, yet electric power, transportation, and other infrastructures are highly vulnerable and interdependent. New approaches for characterizing the resilience of sets of infrastructure systems are urgently needed, at community and regional scales. This article develops a practical approach for analysts to characterize a community's infrastructure vulnerability and resilience in disasters. It addresses key challenges of incomplete incentives, partial information, and few opportunities for learning. The approach is demonstrated for Metro Vancouver, Canada, in the context of earthquake and flood risk. The methodological approach is practical and focuses on potential disruptions to infrastructure services. In spirit, it resembles probability elicitation with multiple experts; however, it elicits disruption and recovery over time, rather than uncertainties regarding system function at a given point in time. It develops information on regional infrastructure risk and engages infrastructure organizations in the process. Information sharing, iteration, and learning among the participants provide the basis for more informed estimates of infrastructure system robustness and recovery that incorporate the potential for interdependent failures after an extreme event. Results demonstrate the vital importance of cross‐sectoral communication to develop shared understanding of regional infrastructure disruption in disasters. For Vancouver, specific results indicate that in a hypothetical M7.3 earthquake, virtually all infrastructures would suffer severe disruption of service in the immediate aftermath, with many experiencing moderate disruption two weeks afterward. Electric power, land transportation, and telecommunications are identified as core infrastructure sectors.     

Relative Risk Perception for Terrorism: Implications for Preparedness and Risk Communication

Terrorism presents a significant risk that is often approached at public policy, infrastructure, or emergency management level. Public perceptions of the likelihood of terrorist events, and how this may relate to individual preparedness, are not always extensively examined. The tendency to think that negative events are less likely to happen to oneself than to the average person is known as optimism bias. Optimism bias is relevant to perceptions of terrorism, because it is thought to be related to a reduction in precaution use. Using an online survey of 164 participants, this study aimed to determine whether Sydney residents thought they had a lower likelihood of experiencing terrorist events than other Australians. Significant optimism bias was observed for witnessing terrorist events, but not for personally experiencing terrorist events. In addition, Sydney residents tended to think that terrorist attacks were more likely to occur in Sydney than another major Australian city in the next five years. At the same time, household and workplace preparedness for terrorism was quite low, as was awareness of emergency strategies in the central business district. Perceptions of high likelihood of terrorism happening in one's own city, yet low preparedness present a challenge for risk communication and emergency management strategies. The diversity of possible terrorist targets, and the simple plans that can moderate the effects of a disaster may need to be emphasized in future anti‐terrorism initiatives.     

Warning Triggers in Environmental Hazards: Who Should Be Warned to Do What and When?

Determining the most effective public warnings to issue during a hazardous environmental event is a complex problem. Three primary questions need to be answered: Who should take protective action? What is the best action? and When should this action be initiated? Warning triggers provide a proactive means for emergency managers to simultaneously answer these questions by recommending that a target group take a specified protective action if a preset environmental trigger condition occurs (e.g., warn a community to evacuate if a wildfire crosses a proximal ridgeline). Triggers are used to warn the public across a wide variety of environmental hazards, and an improved understanding of their nature and role promises to: (1) advance protective action theory by unifying the natural, built, and social themes in hazards research into one framework, (2) reveal important information about emergency managers’ risk perception, situational awareness, and threat assessment regarding threat behavior and public response, and (3) advance spatiotemporal models for representing the geography and timing of disaster warning and response (i.e., a coupled natural‐built‐social system). We provide an overview and research agenda designed to advance our understanding and modeling of warning triggers.     

Tiered Approach to Resilience Assessment

Regulatory agencies have long adopted a three‐tier framework for risk assessment. We build on this structure to propose a tiered approach for resilience assessment that can be integrated into the existing regulatory processes. Comprehensive approaches to assessing resilience at appropriate and operational scales, reconciling analytical complexity as needed with stakeholder needs and resources available, and ultimately creating actionable recommendations to enhance resilience are still lacking. Our proposed framework consists of tiers by which analysts can select resilience assessment and decision support tools to inform associated management actions relative to the scope and urgency of the risk and the capacity of resource managers to improve system resilience. The resilience management framework proposed is not intended to supplant either risk management or the many existing efforts of resilience quantification method development, but instead provide a guide to selecting tools that are appropriate for the given analytic need. The goal of this tiered approach is to intentionally parallel the tiered approach used in regulatory contexts so that resilience assessment might be more easily and quickly integrated into existing structures and with existing policies.     

Examining Public Trust in Risk‐Managing Organizations After a Major Disaster

This research investigates the public's trust in risk‐managing organizations after suffering serious damage from a major disaster. It is natural for public trust to decrease in organizations responsible for mitigating the damage. However, what about trust in organizations that address hazards not directly related to the disaster? Based on the results of surveys conducted by a national institute, the Japanese government concluded, in a White Paper on Science and Technology, that the public's trust in scientists declined overall after the 2011 Tohoku Earthquake. Because scientists play a key role in risk assessment and risk management in most areas, one could predict that trust in risk‐managing organizations overall would decrease after a major disaster. The methodology of that survey, however, had limitations that prevented such conclusions. For this research, two surveys were conducted to measure the public's trust in risk‐managing organizations regarding various hazards, before and after the Tohoku Earthquake (n = 1,192 in 2008 and n = 1,138 in 2012). The results showed that trust decreased in risk‐managing organizations that deal with earthquakes and nuclear accidents, whereas trust levels related to many other hazards, especially in areas not touched by the Tohoku Earthquake, remained steady or even increased. These results reject the assertion that distrust rippled through all risk‐managing organizations. The implications of this research are discussed, with the observation that this result is not necessarily gratifying for risk managers because high trust sometimes reduces public preparedness for disasters.     

Quantifying Community Resilience Using Hierarchical Bayesian Kernel Methods: A Case Study on Recovery from Power Outages

The ability to accurately measure recovery rate of infrastructure systems and communities impacted by disasters is vital to ensure effective response and resource allocation before, during, and after a disruption. However, a challenge in quantifying such measures resides in the lack of data as community recovery information is seldom recorded. To provide accurate community recovery measures, a hierarchical Bayesian kernel model (HBKM) is developed to predict the recovery rate of communities experiencing power outages during storms. The performance of the proposed method is evaluated using cross‐validation and compared with two models, the hierarchical Bayesian regression model and the Poisson generalized linear model. A case study focusing on the recovery of communities in Shelby County, Tennessee after severe storms between 2007 and 2017 is presented to illustrate the proposed approach. The predictive accuracy of the models is evaluated using the log‐likelihood and root mean squared error. The HBKM yields on average the highest out‐of‐sample predictive accuracy. This approach can help assess the recoverability of a community when data are scarce and inform decision making in the aftermath of a disaster. An illustrative example is presented demonstrating how accurate measures of community resilience can help reduce the cost of infrastructure restoration.     

Children's disaster knowledge,risk perceptions,and preparedness: A cross-country comparison in Nepal and Turkey

While children are one of the groups at risk in disasters, they can also take an active part in disaster management, provided that the opportunity is given. This research examined the effect of disaster experience, disaster education, country, and city socioeconomic status on children's perceived risk and preparedness with a survey of 1335 children between 11 and 14 years old, in Nepal and Turkey. The survey used questionnaires and the pictorial representation of illness and self measure (PRISM) tool. Results showed that (1) children's risk perceptions were in line with their country-specific objective risks; (2) there were differences between the countries in relation to perception of risk for all the hazards except wildfire; (3) socioeconomic status had a statistically significant effect on children's perceptions of risk and preparedness for earthquakes, wildfires, that is, children who live in wealthier places had higher perceived risk and preparedness; (4) children in both countries showed similar trends in their knowledge of the correct protective actions to take in the event of a hazard occurrence. However, there is still room to enhance children's knowledge, in terms of safety behaviors, as the children selected many incorrect protective actions. There are important implications in terms of child-centered disaster management which hopefully will make life safer and help to create more resilience to disaster in society as a whole.     

How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods

Evaluating the economic impacts caused by capital destruction is an effective method for disaster management and prevention, but the magnitude of the economic impact of labor disruption on an economic system remains unclear. This article emphasizes the importance of considering labor disruption when evaluating the economic impact of natural disasters. Based on the principle of disasters and resilience theory, our model integrates nonlinear recovery of labor losses and the demand of labor from outside the disaster area into the dynamic evaluation of the economic impact in the postdisaster recovery period. We exemplify this through a case study: the flood disaster that occurred in Wuhan city, China, on July 6, 2016 (the “7.6 Wuhan flood disaster”). The results indicate that (i) the indirect economic impacts of the “7.6 Wuhan flood disaster” will underestimate 15.12% if we do not consider labor disruption; (ii) the economic impact in secondary industry caused by insufficient labor forces accounts for 42.27% of its total impact, while that in the tertiary industry is 36.29%, which can cause enormous losses if both industries suffer shocks; and (iii) the agricultural sector of Wuhan city experiences an increase in output demand of 0.07% that is created by the introduction of 50,000 short‐term laborers from outside the disaster area to meet the postdisaster reconstruction need. These results provide evidence for the important role of labor disruption and prove that it is a nonnegligible component of postdisaster economic recovery and postdisaster reduction.     

Economics of Disaster Risk,Social Vulnerability,and Mental Health Resilience

We investigate the relationship between exposure to Hurricanes Katrina and/or Rita and mental health resilience by vulnerability status, with particular focus on the mental health outcomes of single mothers versus the general public. We advance a measurable notion of mental health resilience to disaster events. We also calculate the economic costs of poor mental health days added by natural disaster exposure. Negative binomial analyses show that hurricane exposure increases the expected count of poor mental health days for all persons by 18.7% (95% confidence interval [CI], 7.44–31.14%), and by 71.88% (95% CI, 39.48–211.82%) for single females with children. Monthly time‐series show that single mothers have lower event resilience, experiencing higher added mental stress. Results also show that the count of poor mental health days is sensitive to hurricane intensity, increasing by a factor of 1.06 (95% CI, 1.02–1.10) for every billion (U.S.$) dollars of damage added for all exposed persons, and by a factor of 1.08 (95% CI, 1.03–1.14) for single mothers. We estimate that single mothers, as a group, suffered over $130 million in productivity loss from added postdisaster stress and disability. Results illustrate the measurability of mental health resilience as a two‐dimensional concept of resistance capacity and recovery time. Overall, we show that natural disasters regressively tax disadvantaged population strata.