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Evolution
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What is Evolution?

Evolution, as an academic topic, extends well beyond its origins in biological science to become one of the most broadly applied concepts across scholarly disciplines. Students in history, psychology, sociology, political science, architecture, and labor studies all engage with evolutionary frameworks to explain how systems, institutions, ideas, and behaviors change over time. The concept invites rigorous analysis precisely because it demands attention to causes, pressures, adaptations, and outcomes — making it as relevant to the development of cognitive psychology or labor unions as it is to the natural life cycle of an endangered species like the Amur Leopard.

The papers collected here reflect a wide range of analytical approaches. Historical and comparative analyses examine how phenomena such as religious tolerance in colonial America, construction safety regulations, and immigration policy shifted across defined periods. Case-study approaches trace the internal development of specific subjects — including African American Vernacular, behavior therapy, and Christian architecture — to show how form and function respond to external pressures. Some papers engage policy analysis or theoretical frameworks such as competitive balance theory to assess how structured systems evolve in response to social and institutional forces.

A strong essay on evolution in this broader sense requires a clearly scoped thesis that identifies both what changed and what drove that change. Evidence carries the most weight when it is drawn from specific historical moments, documented turning points, or measurable developments rather than general claims about progress. The most common pitfall is treating evolution as inherently linear or positive — strong essays acknowledge reversals, contested changes, and uneven development to build a more credible and nuanced argument.

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Leading change in organizations
Many of the reviews on this work of literature by John Kottler have focused on his eight steps to implementing organization change. HOwever, the greater value in the book lies in the background information and the reasoning the author presents for advocating this stance. At the core of this issue are changes in politics, economics and society that require a transition from conventional management to leadership-based management.
Research Paper Doctorate
Systems analyst hiring requirements and qualifications
REQUEST to APPROVE the POSITION of SYSTEM ANALYST WITH the RECRUITMENT of the FUTURE EMPLOYEE BEING DONE INSIDE the COMPANY
Research Paper Doctorate
Anti-Semitism Although the Term Anti-Semitism
Although the term anti-Semitism is reasonably new -- dating back to the latter half of the nineteenth century -- prejudice and persecution of Europe's Jewish community began as long ago as the rise of Hellenistic…
Research Paper Doctorate
Role of Women Throughout History
Although women have largely suffered from political and economic subordination throughout most of the course of human history, women's roles changed somewhat throughout the bulk of the past millennium.
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Writing Across the Curriculum (Wac)
Writing Across the Curriculum (WAC) programs became popular during the mid-1970s in response to a perceived deficiency in students' writing and thinking abilities. Such programs grew out of the conviction that children…
Research Paper Doctorate
William James and the foundations of modern psychology
William James was a prominent psychologist and philosopher in the early 20th century. Presently, James' work is outdated, but only in the sense that Galileo's or Darwin's work is outdated.
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).
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Global Silk Trade. How Silk Drive Global
The presence and evolution of silk within the past and modern day societies are intriguing in both national and global contexts (McKay, 2009). Silk is part of the world's history, traditions and society.
Research Paper Doctorate
Roles of Japanese Emperors 1863-1945
Today, Japan stands side by side with many of the Western nations of the world in terms of its political philosophy and free market economy, but it has not always been thus. In fact, many contemporary observers would be…
Research Paper Doctorate
Medical Testing on Animals
¶ … against experimentation on animals, and some are more compelling than others. Some people suggest that the practice is immoral because choosing to experiment upon animals is directly analogous to racial or sexual…