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

被引：0

作者：

Grezes, Vincent ^{[1
]}

Bonazzi, Riccardo ^{[1
]}

Cimmino, Francesco Maria ^{[1
]}

机构：

[1] Univ Appl Sci Western Switzerland, Entrepreneuriat & Management Inst, HES SO Valais Wallis, Carouge, Switzerland

来源：

JOURNAL OF INTELLIGENCE STUDIES IN BUSINESS | 2020年 / 10卷 / 02期

关键词：

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

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：26 / 31

页数：6