Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10153938 | Futures | 2018 | 22 Pages |
Abstract
The decision-making processes and strategic conversations in networked democracy have become faster due to artificial intelligence and information and communicative technologies. But traditional approaches to group decision-making support are not quite effective in networked conditions, especially when most of the factors describing the problem situations are poorly defined and non-quantitative. The author's convergent technology (approach) helps ensure the necessary conditions for structuring information in a special way that accelerates networked group decision-making processes and makes them more sustainable and purposeful. The approach uses the experience of creating networked expertise systems (e-expertise), cognitive modelling, inverse problem solving, etc. The networked groups may include authorities, companies' management and employees, experts, policy-makers, researchers, citizens, etc. The approach could be useful for group strategic formation for self-organising social networks and for creating effective strategies for government, non-government, regional, national, municipal, and other bodies. An example of testing the approach in real practice is presented.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Business and International Management
Authors
Alexander Raikov,