Social and communication support of managerial decision-making under digitalization

Abstract

The article examines modern theoretical approaches to interpreting social and communication support for managerial decision-making. It investigates the peculiarities of the transformation of the communication process in the digital environment. The impact of digital technologies on information and analytical management support is analyzed. The role of digital platforms, network communications, integrated information systems, and socio-psychological factors in ensuring the effectiveness of managerial interaction is explored. Modern trends in the development of digital communication systems are analyzed, including the integration of artificial intelligence, decision support systems, analytical platforms, cloud services, and network interaction models into organizational management processes. It is determined that the effectiveness of social and communication support largely depends on the organization's digital maturity, the development of a digital corporate culture, the provision of feedback, and the integration of human and digital intelligence into the managerial decision-making system. The conceptual approaches to understanding social and communication support for managerial decision-making are systematized, particularly the informational, systemic, socio-psychological, digital, and network approaches. For each approach, key characteristics, advantages, and limitations are identified in the context of modern organizations' functioning under digital transformation conditions. It is concluded that a comprehensive approach to interpreting social and communication support for managerial decision-making is appropriate, as an integrated system of social, informational, analytical, and digital mechanisms of interaction among management subjects. The proposed definition of this category, unlike existing approaches, is based on the combination of digital analytics, network coordination, social communication, and a human-centered management approach.