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Hardware
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What is Hardware?

Hardware, as a field of study within technology, refers to the physical components that make up computing and electronic systems. Students encounter this topic across a range of courses including computer science, information technology, networking, business technology, and engineering programs. Its academic interest lies in how hardware interacts with software and systems to enable everything from personal computing to industrial avionics. Papers in this area often require students to evaluate how physical components function within larger technological frameworks, making it a topic that bridges technical understanding with practical application in real business and professional contexts.

The archived papers on this topic reflect a notably wide range of approaches. Some take a product-comparison angle, such as evaluating the iMac against the Dell Dimension, while others examine specific industry systems like the Primus Epic Integrated Avionics System from Honeywell Aerospace. Technical explainers appear as well, covering how operating systems work, how WLANs and 802.11x technology function, and net-centric principles. Several papers shift toward business and case-study formats, addressing marketing strategy, technology recovery strategies, and small business contexts, showing that hardware is rarely treated in isolation from the organizational systems that depend on it.

A strong essay on hardware should establish a clear, focused thesis rather than attempting to survey the entire field. Evidence drawn from technical specifications, system performance comparisons, or documented case outcomes tends to carry the most weight. When analyzing a specific product or system, grounding claims in how that hardware interacts with software and broader business processes adds analytical depth. A common pitfall is treating hardware as purely mechanical, when stronger papers consistently connect physical components to the processes and systems they enable.

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Paper Undergraduate
Physical and cognitive barriers to older adult computer learning
Adults have difficulty in learning computer application programs.
Paper Undergraduate
Hewlett-Packard's strategic repositioning from hardware to enterprise IT solutions
Hewlett-Packard, long a major competitor in the computer hardware industry, has in recent years undertaken a massive repositioning as an IT company. Central to this move has been a focus on data storage and information…
Paper Undergraduate
Business continuity planning during the 2004 Indian Ocean tsunami
According to the U.S. Geological Survey, the earthquake that generated the great Indian Ocean tsunami of 2004 is thought to have released the energy of 23,000 Hiroshima-type atomic bombs.
Paper Doctorate
The rise and fall of Microsoft Vista
Back in January 2007, after many years of buildup and expectation, Microsoft revealed Windows Vista to a decidedly tepid reception by the PC community, it pros, and tech journalists.
Paper Doctorate
Apple's differentiation strategy and competition in personal computers and mobile devices
Abstract Through innovation, Apple has managed to stay afloat in the highly competitive personal computers industry. To remain relevant in a dynamic market, the Tech Company has over time sought to forge a path which significantly differs from those of its main competitors by adopting a differentiation strategy in which most of its products differ from those of the competition mainly in terms of design and quality. In this text, I explore Apple's industry, environment and strategy.
Paper Doctorate
Nuclear energy as an alternative to fossil fuels and other sustainable sources
The consensus among scientists is that there is an ongoing environmental crisis a large part of which is associated with Global Warming (Poiman & Poiman, 2007). Another very significant part of the environmental issues…
Paper Undergraduate
Operations security in the ISC2 ten security domains
It is important for organizations today to understand computer security concepts in order to protect the organization's privacy. For this purpose the International Information Systems Security Certification Consortium…
Paper Undergraduate
Information literacy skills for graduate students in ICT environments
Many agencies and governments -- federal, state, and local -- have devoted considerable resources to technology in public elementary and secondary schools. These Information Communication Technology (ICT) resources have…
Research Paper Undergraduate
Minimum wage laws and their negative effects on teenage unemployment
Artificially adjusting wages above market rates set by the supply and demand of labor increases unemployment. This happens because of several factors (Kibbe). If employers believe that individuals will not produce the…
Paper Doctorate
Enterprise data warehouse implementation at Continental Airlines and Toyota
Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline their business models are a case in point. The greater the level of economic uncertainty, perceived and actual risk in any given strategy or endeavor, the more the reliance on EDW, data mining and advanced forms of predictive modeling including analytics (Sen, Ramamurthy, Sinha, 2012). From this standpoint, the emerging areas of high growth in the global economy are attracting a high level of investment in EDW, data mining, predictive modeling and analytics. The latest figures illustrate how valued EDW and data mining are in enterprise today. According to industry research and advisory firm Gartner, the EDW and data mining market began 2011 with a global value of $23.2 billion with a projection of market growth of 7% per year through 2015, making it one of the largest and perennially growing enterprise software market (Sen, Ramamurthy, Sinha, 2012). Gartner has defined the EDW and data mining architecture as being comprised of the architectural design, repository and execution platform. These three core components are how this research and advisory firm analyze the market from a software component standpoint, looking at the relative adoption of each EDW and data mining component (Sen, Ramamurthy, Sinha, 2012). The intent of this analysis is to evaluate the benefits and current trends in EDW and data mining, evaluating Continentals' and Toyota's best practices and results achieved. Additional objectives include an assessment of EDW and data mining optimization techniques, recommendations for storage solutions and an analysis of a potential EDW process workflow predicated on a Customer Relationship Management (CRM) system.