Dynamic Knowledge Capitalization through Annotation among Economic Intelligence Actors in a Collaborative Environment
Olusoji Okunoye (LORIA), Bolanle Oladejo (LORIA), Victor Odumuyiwa, (LORIA)

TL;DR
This paper introduces a dynamic knowledge capitalization framework for economic intelligence actors, emphasizing annotation, management of shared knowledge, and interaction awareness to enhance collaboration and decision-making.
Contribution
It proposes a novel annotation model, a dynamic knowledge capitalization approach, and an awareness mechanism for managing interactions among economic intelligence actors.
Findings
Effective annotation facilitates knowledge elicitation among actors.
The dynamic capitalization approach improves knowledge reuse and sharing.
The awareness mechanism enhances group collaboration and decision quality.
Abstract
The shift from industrial economy to knowledge economy in today's world has revolutionalized strategic planning in organizations as well as their problem solving approaches. The point of focus today is knowledge and service production with more emphasis been laid on knowledge capital. Many organizations are investing on tools that facilitate knowledge sharing among their employees and they are as well promoting and encouraging collaboration among their staff in order to build the organization's knowledge capital with the ultimate goal of creating a lasting competitive advantage for their organizations. One of the current leading approaches used for solving organization's decision problem is the Economic Intelligence (EI) approach which involves interactions among various actors called EI actors. These actors collaborate to ensure the overall success of the decision problem solving…
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Taxonomy
TopicsCompetitive and Knowledge Intelligence · Big Data and Business Intelligence · Business Strategy and Innovation
