In Last article we discussed about Knowledge Management in the Era of Social Networking.
A broad range of thoughts on the KM discipline exist; approaches vary by author and school. In the early days of KM, Collaborative technologies and semantic technologies were leveraged. Knowledge management systems can be categorized in Groupware, document management systems, expert systems, semantic networks, relational and object oriented databases, simulation tools, and artificial intelligence.
Organisations spend a lot of underutilized or over provisioned resources and make significant investments in the latest technology, systems and infrastructure to support knowledge management.
The focal point is how to cultivate knowledge sharing culture between entities to improve decision-making with the use of technological innovation and improved means of collaboration; this approach is known as knowledge ecosystems. It espouses that knowledge strategies should focus more on enabling self-organization in response to changing environments.
Knowledge ecosystems operate on two types of technological core – one dealing with the content or substantive knowledge of the industry, and the other involving computer hardware and software and telecommunications, that serve as the “procedural technology” of operations. These technologies provide knowledge management capabilities that are far beyond individual human capacity. In the business education and training context substantive technology would be knowledge of different business functions, tasks, processes products, R&D, markets, finances and relations. Research, codification, documentation, publication and electronic sharing create this substantive knowledge. Communications between computers and among humans permit knowledge ecosystems to be interactive and responsive within the wider community and within its subsystems.
Knowledge ecosystems consist of interlinked knowledge resources, databases, human experts, and artificial knowledge agents that collectively provide an online knowledge for anywhere anytime performance of organizational tasks. The availability of knowledge on an anywhere-anytime basis blurs the line between learning and work performance. Both can occur simultaneously and sometimes interchangeably.
Thankfully, knowledge management is becoming an ingrained feature within enterprise applications. Cloud computing provides an alternative to reduce technical challenges; it provide agile, scalable and elastic compute and storage resources. Hence, knowledge management isn’t a disconnected entity made only for showcasing formal process, but a supplementary capability within an enterprise application. It helps in mobilizing expertise, collaboration, and decision making.