TRANSFORMATION OF ENTERPRISE BUSINESS MODEL ARCHITECTURE ACROSS TURBULENCE FRAMEWORKS

Abstract

This paper conceptualises how macro-turbulence regimes reshape enterprise business-model architecture. It interprets SPOD-VUCA-BANI-SHIVA-PLUTO as successive logics of economic coordination that reallocate risks, recombine resources, and redefine value creation and capture. Using conceptual analysis and comparative modelling, the study develops a comparative matrix that formalises architectural change across five parameters: value logic, activity configuration, partnership architecture, the role of digitalisation, and cost–risk design. It shows that PLUTO – polarised, liquid, unilateral, tense, and omni-relational – does not merely intensify uncertainty; it introduces institutional-configurational instability in which rules, constraints, and network interdependencies co-evolve. Consequently, viable business models shift from linear, hierarchical designs toward modular, ecosystemic, and relational configurations supported by rapid reconfiguration capabilities. The paper operationalises Data-Core as a microfoundation of adaptive reconfiguration: an integrated core of data assets, analytical routines, AI-enabled decision support, and governance/cybersecurity controls that converts heterogeneous external signals into actionable managerial impulses, compresses decision and execution lags, and synchronises change across business-model components. The proposed matrices and the Data-Core construct provide a diagnostic instrument for assessing resilience and for designing adaptive configurations in high-turbulence environments, where competitive sustainability depends on coordinated reconfiguration of activities, partners, channels, and the cost–risk structure. It specifies operational indicators for Data-Core maturity (data quality governance, analytical cadence, model monitoring, and incident response) and links them to architectural outcomes such as faster partner-portfolio switching, improved channel orchestration, and more robust continuity and compliance. The results support business-model diagnostics, capability gap analysis, and the prioritisation of transformation investments under conditions of geoeconomic fragmentation, asymmetric regulation, and heightened institutional instability.