Atman: Intelligent information gap detection for learning organizations: First steps toward computational collective intelligence for decision making

Authors

  • Vincent Grèzes Entrepreneuriat & Management Institute, University of Applied Sciences Western Switzerland Author
  • Riccardo Bonazzi Entrepreneuriat & Management Institute, University of Applied Sciences Western Switzerland Author
  • Francesco Maria Cimmino Entrepreneuriat & Management Institute, University of Applied Sciences Western Switzerland Author

DOI:

https://doi.org/10.37380/jisib.v10i2.582

Keywords:

Contingency theory, environmental scanning, knowledge-based view, learning organization, machine learning

Abstract

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.

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Published

2020-06-30

How to Cite

Grèzes, V., Bonazzi, R., & Cimmino, F. M. (2020). Atman: Intelligent information gap detection for learning organizations: First steps toward computational collective intelligence for decision making. Journal of Intelligence Studies in Business, 10(2), 26-31. https://doi.org/10.37380/jisib.v10i2.582