Leveraging Digital Knowledge Ecosystem Framework Implementation Case Study: Aligning Knowledge Management and Innovation Goals for Agricultural Aerial Pest Control

被引:2
|
作者
Gattaz, Cristiane Chaves [1 ]
Cruvinel, Paulo Estevao [2 ]
Bernardes, Roberto Carlos [1 ]
机构
[1] Ctr Univ FEI, Dept Adm, Sao Paulo, Brazil
[2] Embrapa Instrumentacao, Dept Pesquisa & Desenvolvimento, Sao Paulo, Brazil
关键词
digital knowledge ecosystem; knowledge ecosystem framework; knowledge management; pest control;
D O I
10.1109/ICSC.2016.81
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article proposes a new methodology based on action-research for implementation of a business, system and technology model to assist and facilitate the collaborative use of resources and expertise, as well as to adjust one task force based on knowledge sharing and management. A case study is presented to illustrate the results of implementing the digital knowledge ecosystem framework in a research and development network of aerial application of pesticides for pest control, using the action-research approach. Results include the properties of self-management, open innovation, self-organisation of the institutionally linked groups and the adaptation of a new tool for collaboration, which can improve competitiveness. Its relevance may be measured by its benefits of capturing the sharing dynamics, processing and propagating information within the networks, allowing cooperation between organizations, measuring collective intelligence action and learning, as well as promoting survival such as minimum interaction rules, individual autonomy and organisational structure demand flexibility. Such arrangement proved to allow non-linear methods replacing attempts at objectivity, linear thought and control, and the design of risks in social computing system. The conclusions showed the opportunity to apply such model to other sectors related to agriculture and innovation and observe the challenge regarding to managerial indicators for future command and control of existing r&d network knowledge management operations for future research.
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页码:416 / 423
页数:8
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