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Enterprise-Wide Knowledge Management Systems

There are three major types of Knowledge Management Systems (KMS) that are used by different businesses and organizations for different purposes. But, the one that can be found used more than others by the companies, organizations, and businesses is Enterprise-Wide Knowledge Management Systems. This type of Knowledge Management system uses an array of different technologies to store structured and unstructured documents, locate employees’ expertise, search information, and disseminate knowledge (Park, & Kim, 2016).

Enterprise-Wide Knowledge Management Systems provide value to an organization through the benefits it provides such as;

Better organizational agility

Better decision and problem-solving practices.

Higher innovation and employee development.

Sharing of expertise and better communication and business processes.

Balanced Scorecard

A Balanced scorecard is a performance metric that is utilized for the identification and improvement of different internal practices and functions and better outcomes. It is used by the strategic management for measurement and giving feedback as well (Huang, 2009).

Information Systems are used in a way where progress is monitored and success is determined in realization to support the balanced scorecard.

Major League Baseball and Analytics

Major League Baseball is a professional the oldest of the most and major sports league and baseball organization of the U.S. MLB uses Predictive Analytics for any purpose but they use it for Scouting the most. To predict future of scouting, MLB uses historical data for such predictions where the data is used and as a result, a mathematical model is created which captures trends of/in scouting (Elitzur, 2020).

References

Elitzur, R. (2020). Data analytics effects in major league baseball. Omega, 90, 102001.

Huang, H. C. (2009). Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. Expert Systems with Applications, 36(1), 209-218.

Park, Y., & Kim, S. (2016). Knowledge management system for fourth generation R&D: KNOWVATION. Technovation, 26(5-6), 595-602.

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