A Resilience-Oriented Framework for SME Growth and Digital Transformation

Thesis Abstract

This study addresses the critical challenge of sustaining growth and competitive advantage for small and medium-sized enterprises (SMEs) in the face of rapid digital disruption and external shocks. Despite recognizing the importance of resilience for long-term viability, there is limited integrative work that links organizational resilience constructs to SME growth trajectories through digital transformation (DT) initiatives. The aim is to develop a resilience-oriented framework that explicates how SME growth is facilitated by digital capabilities, adaptive processes, and strategic leadership under uncertainty. Specific objectives are (1) to identify core resilience capabilities (anticipation, retention, diversification, and rapid learning) that interact with digital transformation enablers (digital infrastructure, data analytics capacity, and platform-based ecosystems); (2) to examine the mediating role of dynamic capability and organizational knowledge sharing in the DT-growth linkage; (3) to assess how leadership style and organizational culture influence resilience-driven DT adoption; (4) to quantify the impact of resilience-oriented DT on firm performance outcomes (sales growth, market reach, and innovation velocity); and (5) to propose a parsimonious diagnostic framework for SME managers to assess and enhance resilience during DT. The methodology adopts a mixed-methods, sequential explanatory design. The population comprises manufacturing and service SMEs in a mid-sized economy, with a sampling frame of 6,000 registered SMEs and a complementary list from regional chambers of commerce. A stratified random sample of 420 SMEs will be surveyed to obtain quantitative data, followed by 28 in-depth interviews with SME owners, chief executives, and senior managers to capture contextual nuances and validate survey findings. Data collection instruments include a structured questionnaire measuring constructs of resilience (anticipation, recovery, and adaptation), digital transformation maturity (digital presence, data analytics, cloud adoption, automation), dynamic capabilities, organizational culture, leadership, and performance outcomes. Instrument validity will be established through content validity with subject-matter experts and pilot testing (n=40). Reliability will be assessed using Cronbach’s alpha and composite reliability, with thresholds of 0.70 and above. Statistical analyses will be conducted using SmartPLS for partial least squares structural equation modeling to test the hypothesized relationships and mediation effects, while hierarchical regression will be employed for complementary robustness checks. Thematic analysis will be applied to interview transcripts, following the six-phase framework to triangulate qualitative insights with quantitative results. Key expected findings include (a) a positive association between resilience capabilities and DT maturity, which in turn enhances SME growth performance; (b) dynamic capabilities and organizational knowledge sharing mediate the resilience–growth relationship; (c) transformational and participative leadership styles, coupled with learning-oriented culture, strengthen the effect of resilience on DT adoption; (d) digital infrastructure quality and data analytics capability are significant enablers of resilience-driven growth, particularly under supply chain disruptions and demand volatility; and (e) the proposed framework demonstrates good predictive validity for firm performance across sectors, with differential effects by firm size and industry. Anticipated effect sizes are modest to moderate but statistically significant (f2 around 0.10–0.20 for key paths), with substantial variance explained in growth outcomes (R2 > 0.40). The study contributes to knowledge by integrating resilience theory with digital transformation and growth dynamics in SMEs, offering a theory-informed, practically implementable framework that links resilience capabilities to DT-enabled performance. It advances methodological rigor through a mixed-methods approach, combining PLS-SEM with thematic analysis and providing cross-validation of results. The framework extends existing theories of dynamic capabilities, organizational resilience, and DT by specifying dual pathways—anticipatory capability leading to DT maturity and adaptive capability enabling post-disruption growth—within SME contexts. Practical implications include a diagnostic tool and a managerial playbook for building resilience through targeted investments in digital infrastructure, data competencies, leadership development, and culture that supports rapid learning and collaboration. The study concludes by recommending policy and practitioner actions to foster resilience-centric DT programs, including targeted funding for digital upskilling, knowledge-sharing networks among SMEs, and governance structures that empower agile decision-making during environmental shocks.