Products related to Risk:
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Risk Analytics : Data-Driven Decisions under Uncertainty
The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years.This means environmental risks are a priority to study in a formal way.At the same time, innovation risks are present in theminds of leaders, newknowledge brings new risk, and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks.These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business, but also adapting organizations to changes and managing new risks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems.A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines.The RAS system is an integration of components, such as data architecture with diverse data, and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained.The use of data analytics is not only connected to risk modeling and its implementation, but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS.It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics.Written for executives, analytics professionals, risk management professionals, strategy professionals, and postgraduate students, this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty.
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Supply Chain Finance : Mechanisms, Risk Analytics, and Technology
As global supply chains become more complex, the need for expertise in their financial aspects grows.This book aims to equip students and professionals with the knowledge to navigate these complexities, ensuring efficient and resilient financial supply chain operations.It provides an in-depth exploration into the intricate and constantly evolving realm of supply chain finance.By merging key concepts, major mechanisms, hands-on risk analytics, and the latest technology trends, this book offers a seamless and comprehensive examination of the topic, grounded in the author's twenty years of academic research and hands-on experience.Students in supply chain management will gain a thorough understanding of the financial elements that are integral to modern supply chains, including the importance of liquidity, the role of financial institutions, and the optimization of cash flows within the supply chain ecosystem.Definitions will be used throughout the text to elucidate financial terminology that may be unfamiliar to management students.The instructor’s manual will include PowerPoint slides, exercises, and quizzes to assess student comprehension and progress. This textbook will serve as the primary resource for understanding the financial dimensions of supply chains.
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Data Analytics for Engineering and Construction Project Risk Management
This book provides a step-by-step guidance on how to implement analytical methods in project risk management.The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I theauthors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects.The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution.
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Predictive Safety Analytics : Reducing Risk through Modeling and Machine Learning
Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on.This book shows how we can use safety data in a forward-looking, predictive sense. Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks.It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations.The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation.Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has.Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations. This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers.Students taking courses in these areas will also find this book of interest to them.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Risk
From the co-publisher of acclaimed poetry press Omnidawn, Risk engages directly with limitations, both those that structure the literal form of the poems and literary form and those that are both unavoidable and self-inflicted.In Risk, award-winning poet Rusty Morrison uses a constraining form of seven-syllable segments with breaks between to explore questions of limitation.In these poems, she is not just writing about constraints, but living inside and seeing how to manage them.In this way, the speaker of these poems actively experiences limitations as event, not aftermath.Drawing on the idea of philosopher and critic Hélène Cixous who writes that "the border makes up the homeland, it prohibits and gives passage in the same stroke," in Risk Morrison aims where the border and framings she uses offer understanding and where boundaries should be pushed against and passed beyond, as frightening as that might be.
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Risk
Risk compensation postulates that everyone has a "risk thermostat" and that safety measures that do not affect the setting of the thermostat will be circumvented by behaviour that re-establishes the level of risk with which people were originally comfortable.It explains why, for example, motorists drive faster after a bend in the road is straightened.Cultural theory explains risk-taking behaviour by the operation of cultural filters.It postulates that behaviour is governed by the probable costs and benefits of alternative courses of action which are perceived through filters formed from all the previous incidents and associations in the risk-taker's life.; "Risk" should be of interest to many readers throughout the social sciences and in the world of industry, business, engineering, finance and public administration, since it deals with a fundamental part of human behaviour that has enormous financial and economic implications.
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Risk
We are living in a world in which the existence of risk is constantly debated, misinformation and disinformation are rife and spread quickly and easily through online media, and where governments and institutions continue to avoid taking decisive action even when there is general agreement that a serious threat exists.Understanding how people, social groups and social organizations understand, respond to and act on threats, hazards and dangers is more important than ever.In Risk, Deborah Lupton asserts the ongoing importance of the analysis of risk in our age of permacrisis and mounting scepticism about experts and science, calling for a ‘re-turn’ to risk theory in the social sciences. The book outlines the three major approaches to risk in social and cultural theory, devoting a chapter to each.The first approach draws upon the work of Mary Douglas to articulate the cultural/symbolic perspective on risk.The second approach is that of the risk society perspective, based on the writings of Ulrich Beck and Anthony Giddens.The third approach covered is that of the governmentality perspective, which builds on Michel Foucault’s work.Three other chapters examine in detail the relationship between concepts of risk and concepts of selfhood and the body, the notion of Otherness and how this influences the ways in which people respond to and think about risk, and the pleasures of voluntary risk-taking, including discussion of edgework.An entirely new chapter has been added to this edition, focusing on the risks posed by misinformation and denial in the context of climate change and the COVID-19 pandemic.This chapter discusses the politics of post-truth cultures and the powerful networks of actor and organizations that together work to challenge science and manufacture dissent against attempts to tackle these crises. This new edition of Risk is an essential introduction to the topic of risk for students and academics in the social sciences and humanities.
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X-Risk
How humanity came to contemplate its possible extinction. From forecasts of disastrous climate change to prophecies of evil AI superintelligences and the impending perils of genome editing, our species is increasingly concerned with the prospects of its own extinction.With humanity's future on this planet seeming more insecure by the day, in the twenty-first century, existential risk has become the object of a growing field of serious scientific inquiry.But, as Thomas Moynihan shows in X-Risk, this preoccupation is not exclusive to the post-atomic age of global warming and synthetic biology.Our growing concern with human extinction itself has a history.Tracing this untold story, Moynihan revisits the pioneers who first contemplated the possibility of human extinction and stages the historical drama of this momentous discovery.He shows how, far from being a secular reprise of religious prophecies of apocalypse, existential risk is a thoroughly modern idea, made possible by the burgeoning sciences and philosophical tumult of the Enlightenment era.In recollecting how we first came to care for our extinction, Moynihan reveals how today's attempts to measure and mitigate existential threats are the continuation of a project initiated over two centuries ago, which concerns the very vocation of the human as a rational, responsible, and future-oriented being.
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Which risk do you prefer: normal risk or deluxe risk?
I prefer normal risk because it allows for a balance between potential reward and potential loss. Deluxe risk may offer higher potential rewards, but it also comes with a higher likelihood of significant loss. Normal risk allows for a more conservative approach to managing potential risks and rewards, which aligns with my preference for stability and security.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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Should I take a second risk and risk a second rejection?
Taking a second risk and risking a second rejection can be a difficult decision. It's important to consider the potential benefits of taking the risk, as well as the potential consequences of facing rejection again. If the potential rewards outweigh the potential negative outcomes, and if you believe that the risk is worth taking, then it may be worth considering taking the second risk. However, it's also important to take into account your emotional well-being and to consider whether you are prepared to handle another rejection. Ultimately, the decision to take a second risk is a personal one and should be carefully considered based on your individual circumstances.
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