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Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

The goal of this chapter is to both provide a sociological explanation for gender differences in risk-taking behavior and to explain how such gender differences in behavior may contribute to women’s underrepresentation at the top of hierarchies.

I synthesize relevant research findings from the fields of social psychology, economics, psychology, decisions science, and sociology.

I argue that risk-taking is a gendered action due to both prescriptive and descriptive gender stereotypes. The fact that risk-taking is a gendered action offers sociological insights as to why women take fewer risks than men. First, women may rationally choose to take fewer risks, given that risk-taking is less rewarding for them. Second, the aforementioned gender stereotypes may cause institutional gatekeepers to give women fewer opportunities to take risks.

Sociologists should care about this phenomenon because large rewards are attached to successful risk-taking behavior. Thus, if men as a group take more successful risks than women as a group – simply because they take more risks, and thus by chance experience more successful risks – then more men than women will experience upward mobility caused by risk-taking.

Gender differences in risk-taking behavior likely depress the upward mobility of women and are a contributing factor to the dearth of women in top positions. In this era of falling formal barriers and women’s educational gains, gender differences in risk-taking behavior are likely of increasing importance for understanding the inequalities in hierarchies in U.S. society.

A novel approach to modeling exchange rates is presented based on a set of models distinguished by the drivers of the rate and regime duration. The models are combined into a “meta model” using model averaging and non-nested hypothesis-testing techniques. The meta model accommodates periods of stability and slowly evolving or abruptly changing regimes involving multiple drivers. Estimated meta models for five exchange rates provide a compelling characterization of their determination over the last 40 years or so, identifying “phases” during which the influences from policy and financial market responses to news succumb to equilibrating macroeconomic pressures and vice versa.

This study investigated the design of three online public library catalogs in light of the cognitive ability and success of children ages five to eight.

A quasi-experimental approach was employed to examine the influence of system design on children’s searching strategies and search success. Interviews were used to explore children’s rationale for using icons and taxonomies in the catalogs. Fifty one children from one public library participated in this study. Inferential statistics were utilized to whether significant differences existed between use of the catalogs and the children’s success in finding information.

Use of images and text were helpful in searching the catalogs. Results of the ANOVA test indicated no significant difference among children’s searching success rates and the three catalogs. Additionally, the participants misidentified representations used in icons in all three catalogs and created valid search paths that did not produce results. There was a disconnect between the children’s cognitive abilities and the design representations of the three catalogs.

The study took place in one location, thus one should not overgeneralize the findings. Use of assigned tasks may have affected children’s success rates. Children’s searching using printed cards of display screens from the three catalogs instead of real-time interaction with them is also a limitation.

Because of the children’s reliance on images, the choice of visual representations is crucial to successful searching. Interface designers should involve young users in the design of today’s online catalogs. They should also consider new forms of representations such as auditory icons, verbal mouse overs, and zooms.

In addition to addressing the need for research on young children’s information seeking and use of online catalogs in public libraries, this research focuses on the need for an additional layer of visual representation and highlights flaws in currently used catalog designs.

This chapter critically examines the implications of different pedagogical perspectives, approaches, and strategies for the design and implementation of technology-enhanced learning. The key tenets of different pedagogical perspectives are unpacked, including behaviorism, cognitivism, constructivism, socio-constructivism, and connectivism, with reference to how technology can be used to instantiate them. A range of different pedagogical approaches, including collaborative learning, problem-based learning, inquiry-based learning, constructionist learning, design-based learning, and games-based learning are discussed in relation to the use of technology and the previously identified pedagogical perspectives. Pedagogical strategies at a more instantaneous level are also considered, as are the goals of technology-enhanced learning in terms of promoting authentic and meaningful learning. The critical role of the teacher when applying pedagogies using technology, as well as associated issues, are discussed throughout.

Disaster responders play a crucial role in providing aid to individuals and communities following catastrophic events. Being tasked to protect and preserve life and property, these groups of professionals are constantly exposed to various hazards, which puts them at risk of negative mental health consequences. This chapter describes and discusses these mental health effects and interventions for disaster responders in Southeast Asia. The chapter defines who the disaster responders are in Southeast Asian countries. Drawing from the literature, this chapter enumerates the various positive and negative psychological consequences of disaster response, and the risk and protective factors associated with disaster response work. This chapter also describes the different interventions, such as psychological first aid and psychotherapy, following the Inter-agency Standing Committee (IASC) (2007) guidelines on conducting mental health and psychosocial support services (MHPSS), and focusing on the Southeast Asian context. This chapter ends with a discussion of the different challenges of providing MHPSS in Southeast Asia and with some recommendations on how to improve the delivery of these services and the mental health of disaster responders in general.

A rich literature has documented gender-based differences in health care utilization and outcomes. The role of risk attitude in explaining the variations is limited at best. This study examines gender differences in health utilities and risk attitudes.

Data on 13 health states were collected from 629 students via questionnaires at the Ben-Gurion University of the Negev in 2005. From each respondent, we assessed utilities for a subset of health states, using Time Trade-Off and Standard Gamble. A risk attitude coefficient was calculated for each respondent as a function of their utilities for all outcomes assessed. The risk coefficient derived from a closed-form utility model for men was compared to that of women using the t-statistic.

There was a statistically significant difference in the risk attitudes of men and women. Men had a concave utility function, representing risk aversion, while women had a near linear utility function, suggesting that women are risk neutral.

Differences in risk attitude may be an important contributor to gender-based disparities in health services utilization. More research is needed to assess its full impact on decision-making in health care.

As the pressure to win and generate revenue and as the allegations of out-of-control spending continue to increase, there exists much interest in intercollegiate athletics. While researchers in the past have investigated specific issues related to athletics success, revenue generation, and graduation rates, no previous studies have attempted to evaluate these factors simultaneously. This chapter discusses the development of a data envelopment analysis (DEA) model aimed at measuring how efficient university athletic departments are in terms of the use of resources to achieve athletics success, generate revenue, and promote academic success and on-time graduation. Data from National Collegiate Athletic Association (NCAA) Division I Football Bowl Subdivision (FBS) universities are used to evaluate the relative efficiency of the institutions. The model identifies a series of “best-practice” universities which are used to calculate efficient target resource levels for inefficient institutions. The value of the proposed methodology to decision makers is discussed.