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Operating System
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What is Operating System?

Operating systems form the foundational layer of computing, managing hardware resources and providing the environment in which all software applications run. This topic appears across information technology, computer science, and business technology courses, where students are expected to understand how systems software mediates between users and hardware. The academic interest lies in how design choices within an operating system affect performance, security, usability, and organizational efficiency. Because operating systems underpin nearly every computing context — from enterprise infrastructure to personal devices — they serve as a lens through which broader questions about software architecture and system design are examined.

The papers archived on this topic reflect a range of approaches. Comparative analyses are common, with papers weighing the advantages and disadvantages of specific systems such as Windows XP against Vista. Case-study approaches appear as well, examining how companies and information officers make platform decisions based on operational needs. Some papers address adjacent technologies like Active Directory Services, Software as a Service, and APIs, treating the operating system as part of a broader technical ecosystem. Others focus on practical application within workplace and organizational contexts, grounding analysis in real business scenarios.

A strong essay on operating systems should establish a clear, bounded thesis — arguing for a specific evaluation, comparison, or recommendation rather than simply describing how a system works. Evidence drawn from technical specifications, documented system behavior, and organizational use cases carries the most weight. The most common pitfall is writing descriptively without analysis; simply listing features of an operating system does not constitute an argument. Push toward explaining why a design decision or platform choice matters for users, companies, or applications in a defined context.

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Essay Doctorate
Technology and instructional delivery systems at Capella University
The paper provides a description and analysis of the technological capacity of Capella University in terms of instructional delivery using computer and Internet technologies, or ICTs. Detailed description includes hardware specifications, software programs required and installed in Capella's computer units, and the competencies and skills of instructors involved in its online learning system. The discussion also looks into the online learning system or e-college of Capella University, which caters to basic to advanced users of ICT.
Paper Doctorate
Android's market dominance through licensing and open development
Android operating system for smartphones and tablets has become the market leader in a short period of time. In general, the smartphone market is highly volatile, with previous leaders like Blackberry and Palm…
Paper Undergraduate
Key performance indicators and data redundancy in business systems
Key Performance Indicators are critical benchmarks companies select to measure their relative success or failure over a specified period of time or after implementing certain new standard operating procedures or…
Paper Undergraduate
Marketing plan for Sony Corporation's digital camera products
Sony Corporation is a global leader in the research & development, design and manufacturing of optics-based products including high-resolution digital cameras for personal and professional use.
Research Paper Undergraduate
Software testing's role in the product development lifecycle
¶ … Software Testing in the Product Life Cycle
Essay Doctorate
Comparing ACID compliance, partitioning, and features across Microsoft Access, SQL, IBM DB2, and Oracle
Comparing Microsoft Access, SQL, IBM DB2 and Oracle databases is presented in this analysis, taking into account the key features of ACID Compliance, Data partitioning, interface options, referential integrity,…
Essay Doctorate
Apple's value chain strategy and organizational response to market complexity
Apple (NASDAQ: AAPL) has emerged as one of the most profitable and prolific companies in the world, generating a market capitalization rate of $623B as of this writing in late August, 2012, delivering $148B in Revenues in their latest fiscal year and $40B in Net Income (Apple Investor Relations, 2012). One of Apple's greatest strengths is its ability to quickly translate innovative product concepts and designs into state-of-the-art products that deliver exceptional customer experiences. Apple has honed this through decades of disciplined execution and a continual focus on creating a highly synchronized supply chain, highly collaborative product design and development workflows, and the ability to take concepts to completed products in a fraction of the time of their competitors (Murray, Goode, Muro, 2010). Apple is credited with creating the smartphone market, tablet PC, cloud-based music buying and delivery service (iTunes), centralized document and image storage (iCloud) and more innovations in operating systems in the last five years than Microsoft (Apple Investor Relations, 2012). All of these accomplishments taken together have led to Apple creating a catalyst of growth in the tablet PC market, fueling a 100%+ increase in iPad sales (13% year over year) and iPhone sales that have increased 152% over the last eighteen months as well (Apple Investor Relations, 2012). Apple continues to accelerate the sales of their iPad, iPhone, iTouch devices in addition to its mainstream laptops and systems. Apple is able to accomplish these significant results by concentrating on the execution of its value chain, a decades-only concept that Dr. Michael Porter originally created to illustrate how the functional departments of a company all must be synchronized to deliver profitability (Porter, 2008). Apple's value chain is exceptionally effective in managing the coordinating of supply chain, sourcing, quality management, production, product design, marketing services, logistics and retailing operations. As long as two decades ago Apple had been concentrating on how to create this level of synchronization across their entire enterprise (Larson, 1994). As the business model of Apple has continually become more complex, the ability of the organization to stay agile and quick to respond has increasingly become more difficult. This is a common problem companies have as they grow in size and complexity of their business models. For Apple, the environmental factors in the areas of economic, social, technological and political change have challenged their ability to grow, and also forced them to create a more market-driven organizational structure, abandoning the highly successful product divisions of the 1990s and early 2000 timeframe (Apple Investor Relations, 2012). The intent of this analysis is to evaluate how Apple is managing to continually grow despite economic, social, technological and political environmental forces impacting their business. In addition, an analysis of their market environment, response to the turbulent economic environment they operate in, the nature of their product strategies, an assessment of their strategic direction and strategic options are all included in this analysis. A separate section is included for each of these areas throughout the analysis. The Porter Fives Forces Model is used for analyzing these market dynamics (Porter, 2008).
Essay Doctorate
Market structure evolution in the smartphone operating system industry
This paper discusses the mobile operating system industry. The industry composition and structure (oligopoly, monopolistic competition etc) is evaluated. The measures that are commonly used to measure success in the industry are identified and recommendations are made to improve upon these measures by delivering measures that are more useful to managers.
Research Paper Undergraduate
Marketing myopia and Microsoft's struggle with customer focus
Marketing Myopia and Microsoft: The Perfect Storm
Essay Doctorate
Three categories of computer software: compilers, applications, and systems
¶ … computer software falls into one of three categories: compilers and other translator programs, software applications, and system software. Describe and give examples of each.