Transformational Leadership, Digital Tool Adoption, and Agility in Post-Pandemic Small and Medium Enterprises: A Predictive Framework Validation

• Billy Elly

  Lautech

  Author

The post-pandemic recovery of small and medium enterprises (SMEs) has exposed a critical gap between leadership intention and technological execution, as many firms invested in digital tools without achieving commensurate organizational agility. This study addresses the absence of a validated predictive framework that integrates transformational leadership behaviors with specific digital tool adoption patterns to forecast agility outcomes in post-pandemic SMEs. The purpose was to design and validate a hybrid structural-predictive model that identifies which combinations of leadership and technology adoption variables most accurately predict organizational agility. Using a quantitative, cross-sectional design with partial least squares structural equation modeling (PLS-SEM) on survey data from 412 SME managers across manufacturing and service sectors, the study tested both linear and non-linear predictive relationships. The integrated model achieved 89.4% predictive accuracy for high-agility classification, with transformational leadership explaining 34.2% of variance in digital tool adoption intensity, which in turn mediated 41.7% of the leadership-agility relationship. Production-oriented digital tools (automation, cloud infrastructure) demonstrated stronger predictive weight than customer-facing tools. The findings establish that leadership alone is insufficient; the mediating role of foundational digital adoption is decisive. Practical implications include a diagnostic tool for SME managers to prioritize digital investments aligned with leadership development, while academic implications extend dynamic capabilities theory by specifying the technology-leadership interaction mechanism in post-crisis contexts.

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Copyright (c) 2026 Billy Elly (Author)

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