Key elements
To understand knowledge ecology as a productive operation, it is helpful to focus on the knowledge ecosystem that lies at its core. Like natural ecosystems, these knowledge ecosystems have inputs, throughputs and outputs operating in open exchange relationship with their environments. Multiple layers and levels of systems may be integrated to form a complete ecosystem. These systems 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.Core technologies
Knowledge ecosystems operate on two types of technology cores - one involving content or substantive industry knowledge, and the other involving computer hardware and software - telecommunications, which serve as the "procedural technology" for performing operations. These technologies provide knowledge management capabilities that are far beyond individual human capabilities. In a corporate training context, a substantive technology would be knowledge of various business functions, tasks, R&D process products, markets, finances, and relationships. Research, coding, documentation, publication and sharing of electronic resources create this background knowledge. Computer to computer and human to human communications enable knowledge ecosystems to be interactive and responsive within a larger community and its subsystems.Manzalini, A. Stavdas, A. (2008See also
Notes
Further reading
* Clippinger, J. (ed.). The Biology of Business: Decoding the Natural Laws of Enterprise, San Francisco, CA: Jossey-Bass, 1999. * March, James G. A Primer on Decision-Making. (1994) * March, James G. The Pursuit of Organizational Intelligence. (1998) * * {{cite journal , last=Pór , first=G. , year=2000 , title=Nurturing Systemic Wisdom through Knowledge Ecology , journal=The Systems Thinker , volume=11 , issue=8 , pages=1–5 , url=http://www.community-intelligence.com/files/KE%20in%20SysThinker.pdf , access-date=2009-09-23 , archive-url=https://web.archive.org/web/20111005234313/http://www.community-intelligence.com/files/KE%20in%20SysThinker.pdf , archive-date=2011-10-05 , url-status=dead *Miller, F. Q. (2015). Experiencing information use for early career academics’ learning: a knowledge ecosystem model. ''Journal of Documentation'', 71 (6): 1228–1249.External links
* Tim Clark (2006)