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{{Short description|Approach to knowledge management}}
{{Technical|date=March 2021}}
{{Technical|date=March 2021}}

The idea of a '''knowledge ecosystem''' is an approach to [[knowledge management]] which claims to foster the dynamic evolution of [[knowledge]] interactions between entities to improve [[Decision-Making|decision-making]] and innovation through improved evolutionary networks of [[collaboration]].<ref>Paul Shrivastava (1998) [http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html Knowledge Ecology: Knowledge Ecosystems for Business Education and Training] {{Webarchive|url=https://web.archive.org/web/20170825081451/http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html |date=2017-08-25 }}</ref><ref>
The idea of a '''knowledge ecosystem''' is an approach to [[knowledge management]] which claims to foster the dynamic evolution of [[knowledge]] interactions between entities to improve [[Decision-Making|decision-making]] and innovation through improved evolutionary networks of [[collaboration]].<ref>Paul Shrivastava (1998) [http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html Knowledge Ecology: Knowledge Ecosystems for Business Education and Training] {{Webarchive|url=https://web.archive.org/web/20170825081451/http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html |date=2017-08-25 }}</ref><ref>
David A. Bray (2007)
David A. Bray (2007)
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</ref>
</ref>


In contrast to purely directive [[management]] efforts that attempt either to manage or direct outcomes, knowledge [[ecosystem]]s espouse that knowledge [[strategy|strategies]] should focus more on enabling [[self-organization]] in response to changing environments.<ref>
In contrast to purely directive [[management]] efforts that attempt either to manage or direct outcomes, knowledge [[digital ecosystem]]s espouse that knowledge [[strategy|strategies]] should focus more on enabling [[self-organization]] in response to changing environments.<ref>
Jae-Suk Yang, Seungbyung Chae, Wooseop Kwak, Sun-Bin Kim, and In-mook Kim (2009).
Jae-Suk Yang, Seungbyung Chae, Wooseop Kwak, Sun-Bin Kim, and In-mook Kim (2009).
[http://journals.jps.jp/doi/abs/10.1143/JPSJ.78.034803 Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem]
[http://journals.jps.jp/doi/abs/10.1143/JPSJ.78.034803 Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem]
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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.<ref>Paul Shrivastava. [http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html Knowledge Ecology: Knowledge Ecosystems for Business Education and Training] {{Webarchive|url=https://web.archive.org/web/20170825081451/http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html |date=2017-08-25 }}.</ref>
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.<ref>Paul Shrivastava. [http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html Knowledge Ecology: Knowledge Ecosystems for Business Education and Training] {{Webarchive|url=https://web.archive.org/web/20170825081451/http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html |date=2017-08-25 }}.</ref>


== 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.<ref>{{Cite journal |last=Vodă |first=Ana Iolanda |last2=Bortoş |first2=Sergiu |last3=Şoitu |first3=Daniela Tatiana |date=2023-06-01 |title=Knowledge Ecosystem: A Sustainable Theoretical Approach |url=https://ecsdev.org/ojs/index.php/ejsd/article/view/1389 |journal=European Journal of Sustainable Development |language=en |volume=12 |issue=2 |pages=47–47 |doi=10.14207/ejsd.2023.v12n2p47 |issn=2239-6101|doi-access=free }}</ref> 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.<ref>Manzalini, A. Stavdas, A. (2008). [https://ieeexplore.ieee.org/document/4545635?arnumber=4545635 "A Service and Knowledge Ecosystem for Telco3.0-Web3.0 Applications"], {{doi|10.1109/ICIW.2008.120}}</ref>


== See also ==
== See also ==
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* https://web.archive.org/web/20090504065005/http://www.climatechange.ca.gov/adaptation/meetings/2008-10-10_meeting/2008-10-10_CAS_Public_Meeting_Presentation.pps
* https://web.archive.org/web/20090504065005/http://www.climatechange.ca.gov/adaptation/meetings/2008-10-10_meeting/2008-10-10_CAS_Public_Meeting_Presentation.pps
* Zhuge H. and Shi, X. Toward the Eco-grid: A Harmoniously Evolved Interconnection Environment. Communications of the ACM, 47(9)(2004)78-83.
* Zhuge H. and Shi, X. Toward the Eco-grid: A Harmoniously Evolved Interconnection Environment. Communications of the ACM, 47(9)(2004)78-83.
* Manzalini, A. Stavdas, A. (2008) : https://ieeexplore.ieee.org/document/4545635?arnumber=4545635
* Global OpenLabs for Performance-Enhancement Analytics and Knowledge System [HTTP://www.GoPeaks.org GoPeaks]

[[Category:Business terms]]
[[Category:Business terms]]
[[Category:Knowledge management]]
[[Category:Knowledge management]]

Latest revision as of 07:47, 11 February 2024

The idea of a knowledge ecosystem is an approach to knowledge management which claims to foster the dynamic evolution of knowledge interactions between entities to improve decision-making and innovation through improved evolutionary networks of collaboration.[1][2]

In contrast to purely directive management efforts that attempt either to manage or direct outcomes, knowledge digital ecosystems espouse that knowledge strategies should focus more on enabling self-organization in response to changing environments.[3] The suitability between knowledge and problems confronted defines the degree of "fitness" of a knowledge ecosystem. Articles discussing such ecological approaches typically incorporate elements of complex adaptive systems theory. Known implementation considerations of knowledge ecosystem include the Canadian Government.[4]

Key elements

[edit]

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.[5]

Core technologies

[edit]

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.[6] 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.[7]

See also

[edit]

Notes

[edit]
  1. ^ Paul Shrivastava (1998) Knowledge Ecology: Knowledge Ecosystems for Business Education and Training Archived 2017-08-25 at the Wayback Machine
  2. ^ David A. Bray (2007) Knowledge Ecosystems: A Theoretical Lens for Organizations Confronting Hyperturbulent Environments
  3. ^ Jae-Suk Yang, Seungbyung Chae, Wooseop Kwak, Sun-Bin Kim, and In-mook Kim (2009). Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem J. Phys. Soc. Jpn. 78
  4. ^ William F. Birdsall et al. (2005). Chapter 7: Towards an Integrated Knowledge Ecosystem: A Research Strategy in Towards an Integrated Knowledge Ecosystem: A Canadian Research Strategy, A Report Submitted to the Canadian Association of Research Libraries Archived September 27, 2007, at the Wayback Machine
  5. ^ Paul Shrivastava. Knowledge Ecology: Knowledge Ecosystems for Business Education and Training Archived 2017-08-25 at the Wayback Machine.
  6. ^ Vodă, Ana Iolanda; Bortoş, Sergiu; Şoitu, Daniela Tatiana (2023-06-01). "Knowledge Ecosystem: A Sustainable Theoretical Approach". European Journal of Sustainable Development. 12 (2): 47–47. doi:10.14207/ejsd.2023.v12n2p47. ISSN 2239-6101.
  7. ^ Manzalini, A. Stavdas, A. (2008). "A Service and Knowledge Ecosystem for Telco3.0-Web3.0 Applications", doi:10.1109/ICIW.2008.120

Further reading

[edit]
  • 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)
  • Malhotra, Yogesh (1999). "Knowledge Management for Organizational White Waters: An Ecological Framework". Knowledge Management. 2 (6): 18–21.
  • Pór, G. (2000). "Nurturing Systemic Wisdom through Knowledge Ecology" (PDF). The Systems Thinker. 11 (8): 1–5. Archived from the original (PDF) on 2011-10-05. Retrieved 2009-09-23.
  • Miller, F. Q. (2015). Experiencing information use for early career academics’ learning: a knowledge ecosystem model. Journal of Documentation, 71 (6): 1228–1249. https://doi.org/10.1108/JD-04-2014-0058
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