Keywords: smart assistant, organizational system, social network service, information architecture, application layer, chatbot
Using a social network service to support decision making in an organizational system
UDC 004
DOI: 10.26102/2310-6018/2024.46.3.001
The article discusses the features of using social media as a tool for interaction between a user and the organizational system of higher education. Based on market analysis and target objectives, a conclusion is drawn about the relevance and accessibility of the tool. The analysis of the online platform market in Russia from the perspective of social media usage by users is presented. The basic requirements for implementing a social network as an interaction tool with the organizational system are formulated, and a conclusion is made about the need to avoid duplicating information transmission channels within the organizational system. Requirements for the use of a tool, namely a social network, have been determined, on the basis of which it has become possible to use a social network as the main channel of communication with the user to support decision-making in the organizational system. These changes are demonstrated within the framework of a typical version of the information architecture of an organization using the example of a higher education institution. The integration of a social networking service to support decision-making into the information architecture of the organization is shown. A conclusion is drawn about new possibilities for using a social networking service as a tool to support decision-making, as well as the positive impact of this study on the information architecture of the organization and the activities of employees.
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Keywords: smart assistant, organizational system, social network service, information architecture, application layer, chatbot
For citation: Kalach A.V., Smolentseva T.E., Akatiev Y.A. Using a social network service to support decision making in an organizational system. Modeling, Optimization and Information Technology. 2024;12(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1582 DOI: 10.26102/2310-6018/2024.46.3.001 (In Russ).
Received 22.05.2024
Revised 04.07.2024
Accepted 08.07.2024
Published 30.09.2024