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Financial Services
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What is Financial Services?

Financial services encompasses the broad range of economic activities carried out by institutions such as banks, investment firms, insurance companies, and credit providers. Students across business disciplines — including strategic management, finance, organizational behavior, and ethics — engage with this topic because it sits at the intersection of market competition, regulatory policy, consumer behavior, and social impact. The industry raises compelling academic questions about how organizations create value, manage risk, serve diverse customer populations, and respond to change in competitive environments.

The papers archived here reflect a wide variety of approaches. Some take a company-focused case study angle, examining specific firms and their competitive positioning, budgeting practices, or strategic direction. Others adopt an applied or policy orientation, exploring how financial services institutions can implement organizational changes or better support underserved populations — including work connecting microfinance to economic inequality or examining the financial vulnerabilities faced by youth aging out of foster care. Professional development themes also appear, with papers drawing on internship experience, apprenticeship proposals, and change management frameworks to analyze how employees and managers operate within the industry.

A strong essay on financial services begins with a focused thesis that connects one institution, policy, or practice to a clearly defined outcome — whether that involves customer impact, competitive advantage, or ethical responsibility. Evidence drawn from financial data, industry analysis, or documented organizational outcomes carries the most weight. The most common pitfall is writing too broadly: treating "financial services" as a subject rather than a context, and failing to ground arguments in the specific dynamics of a company, market segment, or affected population.

471 papers
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Research Paper Doctorate
Continental Illinois National Bank's 1984 rescue and restructuring success
The purpose of this work is to show whether or not Continental Illinois rescue and restructuring successful and if so why it was successful. Further using hindsight and consideration of Professor Kaufman's report, this…
Research Paper Doctorate
Unified branding and marketing centralization in Farm Credit System institutions
Figure 2 Results from Received Questionnaires
Research Paper Doctorate
Postindustrial transformation and human geography in the United States and Canada
¶ … postindustrial transformation of the United States and Canada? What are its impact on the human geography of this realm?
Paper Undergraduate
Red Hat's financial efficiency and open source business strategy
Red Hat's financial statements reveals a decreasing value for most financial highlights in 2009 comparative to 2008. The value of their current assets decreased from $1,192,356 in 2008 to $890,832 in 2009; the total…
Research Paper Undergraduate
United States trade deficit in October 2007
United States' international trade in goods and services for the month of October 2007 reported a $57.8 billion deficit. The deficit emerged due to the $141.7 billion exports and $199.5 billion imports.
Essay Doctorate
Big data analytics and enterprise decision-making in modern organizations
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).
Paper Doctorate
The Glass-Steagall repeal and its role in financial deregulation
Congress voted in November of 1999 to repeal the depression-era act that separated the commercial and investment banking industries which blurred the distinction between commercial and investment banking considerably…
Essay Doctorate
Financial health analysis of Hyundai Motor Finance Company
The financial health of an organization determines its performance. The performance shows the potential of the organization, its achievements, and future goals. This paper looks into the issue of financial health in relation to the performance of organizations. The paper employs a case study to bring out the nature and form of the financial performance of organizations.
Research Paper Doctorate
Defining offshore financial centers: characteristics and IMF criteria
Offshore Financial Centers or OFCs are areas that choose reduced taxes or lenient financial controlling administration as a shield in case of overseas investors. (the future for offshore financial centers (OFCs))
Research Paper Doctorate
The euro as a catalyst for European economic integration and trade
The euro is the currency of twelve of the twenty-five European Union member states. These twelve states, which form the Economic and Monetary Union (EMU), are: Austria, Belgium, Finland, France, Germany, Greece,…