Currently, environmental problems represent the principal adversity facing the planet. A major source of ecosystem imbalance has been attributed to industrial activities, as they pose a threat to human, animal and plant life, and health. In addition, factors such as rapid technological progress, more competitive and dynamic markets, high industrialization, and pressures to be more sustainable, have increased the vulnerability of manufacturing companies and their supply chains. To address such challenges, the actions developed by organizations must be viewed from a Dynamic Capabilities View, as companies need to create and build environmentally dynamic capabilities to achieve competitive advantage in dynamic environments and improved sustainable performance. Although the literature in the field of green supply chain management (GSCM) and sustainability is growing in the manufacturing sector, there is a lack of clarity about the effects of GSCM environmental practices on economic, environmental and social performance of manufacturing companies from a Dynamic Capabilities View (DCV). Consequently, this doctoral thesis aims to identify and analyze the effects of GSCM practices on sustainable performance in the context of the Colombian manufacturing industry from a Dynamic Capabilities View. Based on the state-of-the-art studies in the field, a theoretical model composed of six research hypotheses was proposed, which is based on three fundamental axes: dynamic capabilities (DCs), the GSCM and sustainable performance. From this perspective, the concept of "environmental dynamic capabilities of Green Supply Chain Management" is initially proposed. Afterwards, a hierarchy of environmental dynamic capabilities is proposed, consisting of higher and lower order capabilities, as well as the effects of the former on the latter. Subsequently, based on the DCV approach, which has its roots in the idea that performance results are due to the configuration of the set of resources and capabilities of companies and not on capabilities themselves, it is postulated that the lower-order environmental dynamic capabilities mediate the relationship between the higher-order environmental dynamic capabilities and sustainable performance (economic, environmental and social). Additionally, due to the lack of clarity about the relationship between the three dimensions of sustainable performance, dyadic relationships between them are proposed. From the literature, nine environmental constructs were defined: Internal Environmental Management, ecodesign, environmental collaboration with customers, digital technologies, green human resource management, green purchasing, green manufacturing, green logistics, and reverse logistics; as were three sustainable performance constructs: economic, environmental and social performance. Also, size, firm age and export orientation were considered as moderating variables. A survey was designed, validated and applied to a sample of 281 manufacturing companies in Colombia. The data collected was analyzed using a partial least squares structural equation modeling approach (PLS-SEM) through a four-step procedure that included data and model characterisation, measurement model, structural model and predictive capacity, as well as robustness analyses. The results validated the proposed theoretical model, showing that there is a hierarchy of environmental dynamic capabilities, and that this hierarchy influences sustainable performance, as it was found that higher-order environmental dynamic capabilities indirectly influence sustainable performance through lower-order environmental dynamic capabilities. Additionally, it was found that there is a balance between the three dimensions of sustainable performance as a result of the effects of environmental dynamic capabilities, which provides evidence for the win-win paradigm, as well as the progressive relationships between the three pillars. As for the moderating variables, the multi-group analysis revealed statistical differences only for firm size. This doctoral thesis presents a novel contribution to the field of study by identifying and analyzing the effects of the GSCM approach on sustainable performance (economic, environmental and social) from DCV in Colombian manufacturing firms. Specifically, the contribution of this doctoral thesis is highlighted by proposing the concept of "environmental dynamic capabilities of the GSCM", an integrated framework of nine environmental dynamic capabilities, and a theoretical model that proposes and empirically validates a hierarchy of environmental dynamic capabilities and their effects on sustainable performance. Additionally, the results obtained provide new knowledge regarding the win-win paradigm of sustainability, by proposing and empirically validating that environmental dynamic capabilities can directly improve the social and environmental performance of a company, and indirectly improve its economic performance. In terms of methodological contributions, the construction and validation of the data collection instrument are highlighted, which serves as a reference for future research focused on green supply chains and sustainable performance in manufacturing companies not only in the Colombian context, yet also in other regions. Another relevant methodological contribution is the application of PLS-SEM for data analysis using a novel four-step procedure, which combines different advanced and recent techniques such as mediation analysis, new techniques for measurement model analysis and predictive validity of the model, and robustness analysis such as observed and unobserved heterogeneity and endogeneity. From a practical perspective, the research results are expected to serve as a roadmap for managers and decision-makers to improve sustainable performance step-by-step, plan the development of environmental dynamic capabilities, and guide investments in corporate sustainability. Furthermore, the findings obtained can be of relevance for decision makers and policy formulators in the country, as they can shed light on how the industrial sector can achieve better economic, environmental and social results from the development of environmental dynamic capabilities of the GSCM approach. Finally, the dissemination of knowledge derived from this doctoral thesis has resulted in four scientific articles being published in high impact factor journals, a research book, a book chapter, the presentation of three papers in international conferences, three papers in national conferences, a doctoral internship abroad, and a prize being awarded for the best paper in an international conference (Texto tomado de la fuente)