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Risk
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What is Risk?

Risk is a foundational concept in business education, appearing across courses in corporate finance, management, healthcare administration, and community health. It attracts sustained academic attention because it sits at the intersection of decision-making, uncertainty, and consequence — forces that shape outcomes in nearly every professional field. Students are asked to analyze risk because understanding it requires integrating quantitative reasoning with strategic judgment, making it an intellectually demanding subject that tests both analytical and applied skills.

The papers archived on this topic reflect a wide range of approaches. Some take a corporate finance angle, examining how firms manage financial exposure, as seen in work focused on international corporate exposure management and bond selection. Others adopt a case-study format, grounding risk analysis in specific companies such as Winsome Manufacturing. Community and public health perspectives appear as well, with papers addressing risk among vulnerable populations including adolescents, children, and patients in critical care settings. Policy and program evaluation approaches surface in work on culturally responsive programs for Native American youth, showing how risk extends beyond financial contexts into social and clinical domains.

A strong essay on risk begins with a clearly scoped thesis that identifies the type of risk under examination — financial, clinical, social, or operational — and argues a specific position about its causes, management, or consequences. Evidence drawn from case data, journal research, or documented management plans tends to carry the most weight. The most common pitfall is treating risk as a vague, general concern rather than defining its specific terms, probability, and impact within the context being analyzed.

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Thesis Masters
Social Problems That Exist Because of Crime
This paper reviews the relevant peer-reviewed and scholarly literature concerning these two seminal stop and frisk cases, Terry v. Ohio and Sibron v. New York, followed by a summary of the research and important findings concerning stop and frisk as it relates to race and social class in the conclusion.
Paper Doctorate
Pornography and Extramarital Affairs Simply
Pornography has been described by therapists as the new type of mental health disorder they have to deal with The Surgeon General also called attention to it as a personal health hazard. It leads to extramarital affairs and threatens marital happiness and future marriages. Men who use pornography have been observed to eventually engage in extramarital affairs.
Essay Doctorate
School Violence Has Become an Increasingly Important
The document discusses a research article relating to school violence. The article findings are that school violence is highly correlated with the level of principal effectiveness. Indeed, many schools are atypical when considering the violence levels of the communities within which they function. The conclusion is that the article provides valuable material for future study.
Essay Doctorate
Analytics and the Growing Dominance of Big
The level of uncertainty and risk that pervade many enterprises today is growing, as the dynamics and economics of markets are changing rapidly. The many rapid, turbulent structural changes in industries is also leading to a greater reliance on analytics and the nascent area of Big Data as well. The potential of this second area, Big Data, is in determining patterns in massive data sets that have in many cases been collected for decades within enterprises. The abundance of data within enterprises, when combined with Big Data aggregation and analytics techniques, can be used for drastically reducing risk and uncertainty in even the most challenging and fast-moving industries. Big Data is being hyped heavily by analytics systems and enterprise application providers as well, as this category of software allows for the use of long-standing analytics and business intelligence (BI) tools expanded supporting larger data sets. Many companies today are working to create enterprise-wide platforms for managing massive data sets, many of them integrating legacy and 3rd aprty databases many of which have never been integrated into a broader platform strategy before (Jacobs, 2009). These larger data sets and their inherent complexity make the overall analysis, aggregation, creation of taxonomies and customizing of reports challenging and difficult to achieve with the baseline or current set of analytics and BI tools available today however. The continual evolution of these applications and the fine-tuning of specific aggregation technologies including Hadoop and Map Reduce (Jacobs, 2009) have also contributed to making Big Data a more strategic foundation fro decision making. Enterprises are facing greater time and cost constraints than ever before, which also leads to the create and continually invest in larger data sets, analytics, BI and advanced reporting technologies all orchestrated to make the most of the terabytes of legacy data companies have (Chisholm, 2009). The rapid development of analytics, BI and data reporting platforms and tools has led to a level of innovation in enterprise software that is making it possible for enterprises to get more insights from the terabytes of data they have been collecting for decades. This category of software tools include analytics, BI, data visualization, product lifecycle data and predictive analytics all orchestrated to create a common platform for reducing risk while bringing greater intelligence into an organization (Ericson, 2010). As is the case with any high growth enterprise software category, there is an abundance of hype surrounding what these analytics and BI platforms and tools are and aren't capable of. The tendency to overlook the very difficult processes to extracting, transferring and loading (ETL) data from legacy systems and creating a highly effective ecosystem of data is very expensive for companies who have never attempted this before. Further, the methodologies needed for consistently and accurately capturing the data within a given enterprise require a level of discipline that many companies are lacking in their core process areas (Jacobs, 2009). Simply put, it is very hard work to capture all the heterogeneous sources of data throughout an enterprise, from the legacy systems to the 3rd party databases, and then perform ETL functions on them in order to create a new system of record for the entire organization to make use of (Ericson, 2010). Yet for organizations to capitalize on the potential that exists from these many diverse forms of information, intelligence and insight throughout their businesses, they must take the time and effort to create a unified, highly integrated single system of record to galvanize their Big Data strategies together (Jacobs, 2009). The objective of this analysis is to provide the arguments for and against having Big Data included in the strategic decision-making process within an enterprise. The strengths are presented first, followed by the weaknesses of this approach to harnessing data throughout an enterprise. The strengths and weaknesses are next compared and an assessment provided. One of the most prevalent technologies used for accomplishing Big Data analytics and intelligence are MapReduce and Hadoop, two aggregation technologies that can compress terabytes of data into taxonomies and quickly analyze them (Jacobs, 2009).
Essay Doctorate
Taiping Carpet Generally, Companies That Ship Products
When it comes to shipping, it is very important to ensure that a company is able to get its goods to its customers quickly. Additionally, those goods need to arrive safely and in good shape. If that is not consistently the case, then the company needs to find a different shipper so that it will not lose money. The issue here is whether a company should contract with a particular shipper or whether it should use any and all available options as necessary.
Essay Doctorate
Ford Mustang Financials as a Company, Ford
This paper is the culmination of a semester-long project about marketing the Ford Mustang. It contains a financial analysis, a SWOT analysis, an analysis of external forces, competition and a discussion about market segmentation, target marketing, customization, promotion, distribution, pricing, the economy, suppliers, promotion and other things in a comprehensive marketing report.
Paper Doctorate
Cabin Crew Training Programs Aviation
Aviation has changed in massive ways in the last few decades. When commercial flying first debuted to the public, the pilot was considered "king" of the aircraft and his decisions were never questioned and it was always assumed that he knew exactly what he was doing; there was seldom any input given from others (Baron). "Part of this thinking had its genesis from the military. At one time the military was the biggest producer of pilots, and along with military training came a good dose of machismo, ego, and autocratic decision-making processes (many military fighters were single pilot aircraft and therefore lacked the redundancy of, and decision inputs from, another crewmember)" (Baron).
Paper Undergraduate
Public budgeting and finance
This paper is part of a series on public budgeting issues. Topics covered in this series include property taxes, the idea of a national sales tax, and Social Security reform. Ideas like regressive taxation are covered a lot in these papers, which outlines some of the major budget issues facing governments today.
Research Paper Doctorate
Obese Patients Have More Psychosomatic
¶ … obese patients have more psychosomatic illnesses following surgery than non-obese patients have. The writer explores research about psychosomatic conditions and obesity and then proposes a study including the…
Research Paper Doctorate
Endometrial and Cervical Cancer Though
Though they both impact on a woman's reproductive system, cervical cancer and endometrial cancer have important differences. This paper compares and contrasts the causes and symptoms of cervical and endometrial cancers.