Logforum | 2026
Authors: Abouzaid S.; Ennadi A.; Chamat A.
DOI: 10.17270/J.LOG.001363
Journal: Logforum
Year: 2026
Publisher: Poznan School of Logistics
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
Background: Moroccan industrial companies operate in an increasingly unstable environment in which Industry 4.0 technologies—such as the Internet of Things (IoT), artificial intelligence, and big data—represent powerful levers for strategic adaptation. The dynamic capabilities framework, based on sensing, seizing, and reconfiguring, provides a relevant lens for understanding how organizations sense signals of change, mobilize resources, and reconfigure processes to sustain competitive advantage. Methods: The study is based on a cross-sectional survey conducted among 276 Moroccan industrial companies from heavy and light industry as well as the construction sector. Data were analyzed using the PLS-SEM method with 5,000 bootstrap samples. The measurement model demonstrated strong reliability and validity (factor loadings ≈ 0.857–0.912; composite reliability ≈ 0.934–0.939; AVE ≈ 0.778–0.793; HTMT < 0.85). Results: The findings reveal robust relationships among the three dimensions of dynamic capabilities. Sensing strongly predicts seizing (β = 0.917, p < 0.001), while seizing significantly influences reconfiguration (β = 0.725, p < 0.001). Collectively, sensing (β = 0.385), seizing (β = 0.232), and reconfiguration (β = 0.362) contribute significantly to the development of overall dynamic capabilities (all p < 0.001). The model exhibits high explanatory power for seizing (R² = 0.84), moderate explanatory power for reconfiguration (R² = 0.53), and moderate explanatory power for dynamic capabilities as a whole (R² ≈ 0.33). All six hypotheses are empirically supported, highlighting the role of environmental vigilance, the mobilization of smart technologies, and organizational reconfiguration in strengthening dynamic capabilities. Conclusions: This research demonstrates that Industry 4.0 (I4.0) technologies constitute concrete foundations for the development of dynamic capabilities in an emerging economy context. It advances a systemic model that links the detection of external signals, the use of intelligent technologies, and organizational responsiveness. By doing so, the study contributes to a deeper understanding of how I4.0 is integrated into organizational practices and offers an operational framework for managers to navigate highly uncertain environments. © Wyższa Szkoła Logistyki, Poznań, Polska.
digital transformation; dynamic capabilities; industry; industry 4.0; strategic adaptation