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Technology
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What is Technology?

Technology as an academic topic spans nearly every discipline, from business and education to law enforcement and the arts. Students in management, information systems, education, engineering, and communications courses regularly write about it because technological change reshapes how institutions operate, how people learn, and how society organizes itself. The topic is academically interesting precisely because it sits at the intersection of technical capability and human consequence, forcing writers to examine not just what a technology does but what it means for individuals, organizations, and policy.

The papers archived here reflect a wide range of approaches. Some take an applied, industry-specific angle, examining how technology functions within finance, hotel services, or human resources. Others adopt a comparative or evaluative stance, weighing the pros and cons of developments like tablet devices displacing laptops or the internet causing more harm than good. Policy and security-oriented papers look at tools such as closed-circuit television in law enforcement or internal and external security frameworks. A classroom-focused cluster addresses how incorporating technology affects learning, including among elementary school students with special needs. This variety shows that writers approach the subject through case studies, cost-benefit analysis, and sector-specific investigation.

A strong essay on technology picks a specific context rather than treating the subject in the abstract. A focused thesis might address how a particular technology changes a defined process, role, or outcome. Evidence drawn from data, organizational case studies, or documented communication patterns tends to carry the most weight. The most common pitfall is writing at too broad a level, describing technology in general terms without anchoring claims in concrete examples or a clearly bounded argument.

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Research Paper Undergraduate
Technology in law enforcement databases for tracking sex offenders
The use of technology has allowed the various law enforcement agencies in states, the nation and the world to create effective modes on communication, or interconnectivity, that allows for efficient levels of…
Research Paper Undergraduate
Interview responses on leadership, organization, and conflict resolution
Others might be more experienced than I am but few people are as passionate. In fact, it is because I am young that I am the best person for this job. I am eager to learn, excited to see how my education applies to the…
Paper High School
Comparing Woellert and Magnusson's national ID card arguments
A Contrast Analysis of Arguments by Woellert and Magnusson
Research Paper Doctorate
Comparison of IEEE 802.11 and Bluetooth wireless LAN technologies
Wireless technology has developed a large way from its infancy and is fast becoming the latest trend in communication. Wireless LANs have added an entirely new dimension to the communication sector.
Paper High School
The neurological origins of math anxiety in elementary students
Math anxiety is a common phenomenon; some may style it a disease that inflicts so many individuals from children upwards to adults. The ramifications of this impediment are most deleterious for individuals who have to study the subject in order to obtain passing, or excellent grades in it, in order to move on to further subjects and success. Academic researchers have proposed a variety of interventions each of which can be reducible to three categories: curricular strategies, instructional strategies, and non-instructional strategies. A running thread though most seems to be the need for the student to control her own direction. Preventing mathematical anxiety can liberate the brain from the learning disablement of procedural memory that only intensifies the cycle of mathematical failure. This essay discusses origin and strategies of math anxiety
Essay Doctorate
Peak oil theory and the discovery of unconventional petroleum reserves
'Peak oil:' When will we reach it? Does it matter?
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).
Essay Doctorate
Designated shipping partnerships and production flow at Taiping Carpet
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
SWOT analysis of Arena Flowers' business functions and growth strategy
The organizational development aspect of the company needs strengthening. Whilst it is good that Wayne is not autocratic and sounds flexible and relaxed, his nonchalant manner may be adversely affecting the culture and organizational environment of the company. The company may need more structure and direction and may need to form for itself a message and a focus; and needs to connect all the different parts of its organization so that each is aware of the functions of the other, communicator well together, and in effective correspondence with one another. In this way, customer service will be more effectively and rapidly met without the company wasting money on resources, labor, and other aspects of their service. AF would be advised to hire an objective evaluator – either a consulting company or an OD expert - who would offer a skilled analysis and advice on how to improve the company in each of its processes and on all of its levels. They should set goals defining where their difficulties are, and where they wish to improve.
Essay Doctorate
Ford Mustang financial performance and market positioning
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.