MODEL OF ALIGNED BRAND COMMUNICATIONS FOR TERRITORIAL RECOVERY: WARTIME AND POST-WAR CONTEXTS
DOI:
https://doi.org/10.32782/2786-8273/2026-12-27Keywords:
territorial branding, communication coherence, place branding, state brand, nation branding, strategic communications, crisis communication, post-war reconstruction, resilience, investment attraction, recovery, brand, territories, marketing communicationsAbstract
Introduction. Territories experiencing war and protracted disruption face a distinctive dilemma: substantive institutional and socio-economic adaptation often unfolds faster than external recognition. Message fragmentation, competing narratives, and weak verification intensify uncertainty and deepen the reputation lag; therefore, resilient brand communications are understood as an infrastructure that renders recovery trajectories readable, comparable, and credible for key audiences. Purpose. To provide a theoretical substantiation of territorial brand communications in wartime and post-war contexts as a managerial mechanism that translates the factual adaptation of institutions, the economy, and services into aligned, clear, and comparable signals for stakeholders. Methods. The study is conceptual in nature and rests on an analytical integration of resilience theory and signalling theory. A conceptual synthesis is employed to construct the integrated framework “shock – adaptation – communication coherence – trust – resources – reputation”. In addition, a structural-functional analysis is used to examine the roles of primary, secondary, and tertiary territorial communication. Results. Communications become resilient under three conditions: semantic stabilisation (a shared meaning core), evidential discipline (claims anchored in data or verifiable procedures), and coordination across actors and layers of communication. Communication coherence is treated as a systemic property produced by managerial procedures and compatible metrics; it constrains interpretative chaos and perceived transaction costs, increases predictability, forms differentiated trust across groups, and is converted into resources, including participation in projects, programmes, funding, partnerships, and the return or retention of qualified labour. Reputational capital accumulates through repeated cycles of verifiable performance and disciplined communication, thereby accelerating inflows of support during subsequent shocks. Conclusion. The proposed model is interpreted as a feedback loop: resources reinforce further adaptation, trust facilitates message alignment, and reputational capital lowers barriers to subsequent mobilisation of support. Under wartime constraints, procedural evidence (audit, external verification) becomes pivotal; the “statements – experience” gap activates a negative loop of distrust, signal fragmentation, and weakened resource mobilisation, deepening the reputation lag.
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