Technologies of collective intelligence in the management of business processes of an organization

Abstract

With the digitalization of the economy, the creative component of an organization’s activities increases. Standard business process management methods stop working due to the rise in uncertainty of the task solution time. Currently, there are no effective technologies for managing intellectual activity processes in organizations. The role of collective intelligence technologies for knowledge management in organizations has long been discussed in the literature, but there are still no concrete proposals on implementation. This work aims to show how collective technologies can solve the problems of managing business processes of intellectual activity. The possibility of collective intelligence technologies for increasing labor productivity is demonstrated. Models for distributing tasks by competencies and synergy from collaboration are proposed for this demonstration. The paper shows that competencies are the primary metric that can be used to measure work with knowledge in an organization. But they should also be considered when organizing group activities. A simple model example shows that the correct distribution of tasks by competencies allows you to increase the speed of solving tasks by a group by several times. In real cases, calculations using computing resources are necessary. A model is also proposed that demonstrates increasing the joint activity of a creative employee and an analyst. It is shown that business process management should be supplemented by mapping the competence model and group work options to the stages of business processes. This will allow you to manage the business processes of intellectual activity.

A knowledge management system in the strategic development of universities

“…Thus, information systems store information about knowledge and not the knowledge itself. Recent studies support the concept of knowledge as a subjective category [46] and expand the list of knowledge subjects to include an organization and a local community [6,11,47]. Therefore, an organization can learn, create, store and use knowledge.…”

“…Overcoming the challenges depends on how the university organizes in a digital environment working with knowledge, including creation, acquisition, accumulation and use of knowledge, which is a main asset of HE. Meanwhile digitalization opens up new sources, technologies, and methods for KMS, which allow faculty to redistribute routine operations to IT and creative cognitive tasks to humans [11]. The high importance of KMS in HE is due to the great influence of HE on society and its transformation into a knowledge society [12].…”