Asiyat K. Dorgushayova

Doctor of Economics
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Classification of reputational risks in the context of the digital transformation of the university, taking into account the segmentation of the media environmentLomonosov Public Administration Journal. Series 21 2026. Vol. 23. N 2. p.51-73
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The digital transformation of higher education has given rise to a new landscape of reputational threats. Traditional classifications, rooted in the pre-digital paradigm, are insufficient for its analysis. This study aims to bridge this methodological gap by developing a novel analytical model for reputational risks, specifically tailored to the multi-layered digital ecosystem of the modern university. The research employs an integrated theoretical and methodological framework, synthesizing management-communication, economic-financial, and socio-cultural approaches to reputational risk. Methods of systems analysis, conceptual modeling, comparative and factor analysis were applied. The empirical base comprises scholarly publications, data on real-world university reputational crises, and an analysis of their digital footprints.
A two-tiered model for classifying reputational risks is proposed. The first level identifies three segments of the university's media environment, each with a distinct threat potential: the institutional-formal environment (catastrophic potential); the social-network discourse environment (critical potential); and the private-hybrid ecosystem environment (strategically high potential). For each segment, typical risk vectors are detailed, and at the second level, key determining factors (technological, communicational, cultural-behavioral) are specified. The research demonstrates that reputational risk in the digital environment is not merely a consequence of an external event, but rather the result of a synergy between a university's internal vulnerabilities. The private-hybrid environment is identified as posing the greatest strategic danger, serving as a primary source of destructive narratives.
The practical significance of this work lies in providing universities with a concrete toolkit for proactive vulnerability auditing and risk management, shifting the focus from crisis response to strengthening digital infrastructure and organizational culture.
Keywords: reputational risk, university digital ecosystem, risk classification, risk drivers, proactive management
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