Atman : intelligent information gap detection for learning organizations: first steps toward computational collective intelligence for decision making

Grèzes, Vincent (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bonazzia, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Cimminoa, Francesco Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Companies’ environments change constantly and very quickly, so each company must be aligned with its environment and understand what is happening to maintain and improve its performance. To constantly adapt to its environment, the company must integrate a learning process in relation to what is happening and become a "learning company." This posture will ensure organizational effectiveness in relation to changes in the environment and allow companies to achieve goals under the best conditions. Our project aims at delivering a competitive and collective intelligence service allowing to support decision making processes through the diagnostic of alignment between internal knowledge of the organization and available external information.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Entrepreneuriat & Management
Subject(s):
Economie/gestion
Date:
2020-08
Pagination:
6 p.
Published in:
Journal of intelligence studies in business
Numeration (vol. no.):
2020, vol. 10, no. 2, pp. 26-31
ISSN:
2001-015X
External resources:
Appears in Collection:



 Record created 2020-11-10, last modified 2020-11-20

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