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Knowledge Management
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What is Knowledge Management?

Knowledge management is the study of how organizations capture, store, share, and apply knowledge to achieve their goals. It sits at the intersection of business strategy, organizational behavior, and information systems, making it a common subject in management, MBA, and technology programs. What makes it academically interesting is the distinction between different types of knowledge — particularly tacit knowledge, which resides in people's experience and judgment, and the challenge organizations face in making that knowledge accessible and useful. Students are often asked to examine how processes and structures within companies either support or hinder the flow of knowledge across teams and departments.

The papers archived on this topic take several distinct approaches. Some focus on specific industries, such as the automotive sector, to analyze how knowledge management functions in large-scale manufacturing and innovation contexts. Others examine it at the organizational level, exploring frameworks, models, and processes — including process-based models — that guide how companies systematically manage what they know. Case-study approaches are common, with papers looking at particular companies like Accenture to evaluate real-world implementation. Additional papers address the relationship between information management and broader organizational strategy, as well as the social dimensions of capturing tacit knowledge within business environments.

A strong essay on knowledge management needs a clearly bounded thesis — avoid simply summarizing definitions and instead argue a position about how a specific process, framework, or organizational condition affects knowledge outcomes. Evidence drawn from company examples, industry data, or established management models carries the most weight. A common pitfall is treating knowledge management as purely a technology problem; effective essays recognize that employees, culture, and organizational processes are just as central as data systems.

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Paper Undergraduate
Text Mining: Techniques, Processes, and Applications
The concept of text mining comes from the idea that there is a relationship between the terms used in a text message or file if that file is unstructured. The relation may extend to other similar files and the relation…
Essay Doctorate
KBR Australia Knowledge Management Succession Strategy
This analysis is necessary given that KBR's KM strategy was redesigned in 2006, following the separation from Halliburton. KM entails knowledge acquisition, knowledge dissemination and responsiveness to knowledge for greater high performance organizationThe succession strategy for technical knowledge can entail training workshops for recruits, supervisory programs for new and upcoming leaders, consultants and engineers by outgoing senior staff. This analysis finds that KBR's succession strategy based on performance management initiatives and career paths is founded on a job level foundation.
Essay Doctorate
Organizational Culture Change at Tesco: Leadership and Strategy
¶ … organizational change by using Tesco plc as our organization of choice. The concept of change is explored from definition to effects that it has on an organization. Change resistance and the resulting conflict are…
Research Paper Doctorate
Systems vs. Contingency Theory of Management Compared
Systems vs. Contingency Theory of Management: An Analytic Approach
Paper Doctorate
Knowledge Management: Definitions and Organizational Value
Knowledge Management (KM): Definitions and how it can be used to add value to an organization
Essay Doctorate
HR Devolution and the Evolution of Strategic HRM
In the last few decades the globalization trend has worked to foster extensive changes how organizations operate. The rapid pace of the business world has created a scenario in which organizations are constantly evolving and organizational change is nearly a perpetual process. The role of technology has also been a contributing factor that has also had profound implications on organizations and how their human resources interact, collaborate, perform task, as well as impacted the organizational context in general. The level of competition has also steadily risen as firms constantly streamline processes and business functions. Organizations now must maintain a close eye on the external environment and adapt as needed to continue to satisfy consumer demands.
Paper Doctorate
UNESCO: History, Mission, and Global Strategies Explained
Organizations abound the world over and they promote various objectives from agreements on free trade and commerce, cultural exchange, peace and security, and other worthwhile endeavors.
Paper Undergraduate
Managing and Motivating Technical Professionals in NPDI
The most complex team-based processes and tasks many companies routinely struggle with is developing and launching new products. The new product development and introduction (NPDI) process however is the most demanding…
Paper Undergraduate
Turning Data Into Competitive Advantage: Enterprise Strategy
Given the exponential increase in data being generated across enterprise, social networking and legacy IT systems, the need for ensuring a consistent set of frameworks and objectives are used to bring relevance to this data is critical. The tendency of "boil the ocean" of data through Big Data initiatives including Hadoop, an open source analytics platform, have recently emerged as one viable alternative (McKendrick, 2012). Yet too often being able to take in literally terabytes of data and analyze it is of limited use without a consistent, strategic framework to make use of it (Rogers, 2011). Too many IT organizations are falling victim to speeding up mediocre reporting and analysis processes without first thinking about how to bring greater value into their strategic initiatives with the data (Daly, 2011). The answer to this dilemma isn't found in more technology; it's found in creating a more effective strategic framework to bring meaning into the data (Kalpic, Bernus, 2006).
Paper Undergraduate
Data Warehouse Architectures and Database Replication Strategies
Today, there are a lot of different data warehouse architectures intended to meet the users' requirements. Characteristically, data warehouses are comprised of a distributed data design with the mass transfers of data…