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New concurrent climate, geopolitical, pandemic, economic and digital disruptions are impacting tourism and hospitality activities, and these shocks are not monochromatic. The present study employed a sequential explanatory mixed-method design, which involved a cross-section survey and semi-structured interview. The design for the present study was sequential explanatory mixed method, which includes a cross-section survey and a semi-structured interview. An equal-weighted formative multidimensional Polycrisis Vulnerability Index (VI) was created by combining five risk-domain scores, and adaptive capacity (AC) was assessed as being preparedness, resource availability, operational flexibility, recovery capability, and adaptive innovation. Mean VI was 3.492 (SD = 0.310) and mean AC was 2.724 (SD = 0.506), yielding a descriptive vulnerability–capacity gap of 0.768 points. The domain for economic risk was the highest rated (M = 4.131). The five risks appeared to be uncorrelated across domains, suggesting that they should be viewed as separate elements of a formative composite. Model 1 explained 48.4% of the variance in AC (R2 = 0.484), the only significant individual predictor was organization size (β = 0.654, p < 0.001), thus supporting H6 and not H1–H5. The qualitative results helped put this pattern into perspective by highlighting resource disparities and governance coordination. The results are descriptive and the cross-sectional design cannot identify causal, cascading or feedback effects.
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Ahmed K. Elnagar (2026) studied this question.
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