Conference Agenda

This article develops a comprehensive theoretical framework to understand regenerative innovation as a transformative mechanism for overcoming the limitations of linear and traditional circular economic models. Grounded in an integrative analysis of strong sustainability theory, complex systems theory, and responsible innovation frameworks, the study conceptualizes how innovation can catalyze a transition from extractive to regenerative modes of value creation. Rather than merely closing material loops or improving efficiency, regenerative innovation is shown to entail a systemic reconfiguration of business ontologies, incorporating ecological restoration and social revitalization as intrinsic components of economic purpose. The proposed model identifies three critical dimensions of this transformation: the reorganization of value chains into regenerative flows, the emergence of collaborative and adaptive ecosystems among stakeholders, and the embedding of natural capital regeneration within organizational core logics. These findings underscore the necessity of rethinking prevailing metrics of corporate success, governance structures, and stakeholder roles in alignment with long-term planetary and societal health. By offering a novel theoretical synthesis, the paper contributes to the ongoing redefinition of innovation not as a tool for optimizing within existing paradigms, but as a vehicle for paradigm change itself.

This article presents a systematic review of the literature on artificial intelligence (AI) in the context of the circular economy, aiming to analyze its applications and benefits. A structured search methodology is used in scientific databases, applying inclusion and exclusion criteria to select relevant and up-to-date research., computer vision, and intelligent decision-making systems. Furthermore, significant benefits are identified in terms of environmental sustainability, cost reduction, and improved product traceability. However, significant barriers to its implementation are also identified, such as the lack of digital infrastructure, limited access to quality data, and limited technical training.

The current systematic literature review (SLR) aims to analyze the influence of circular business models on the carbon footprint of industries, with a view to achieving a sustainable development, as well as to identify the environmental advantages and challenges faced by industrial organizations. To this end, conducted a thorough analysis of the scientific literature available between 2020 and 2024, from the Scopus database. In this process, 19 relevant articles that met the established eligibility criterio were identified at . The results obtained show that the implementation and adoption of these models generate a positive impact on waste management, optimize the use of resources and, as a consequence, reduce CO2 emissions. Thus, industries that adopt these strategies create value for various stakeholders and promote sustainability in the environmental, social and economic areas. Furthermore, the studies reviewed address key issues such as the promotion of recycling, reuse and regeneration of resources, the implementation of sustainable approaches and the concept of circular economy (CE), among others. In summary, this study highlights the importance and necessity of incorporating circular principles in industries to establish a harmonious relationship with the environment, thus promoting a sustainable development that reinforces the regenerative capacity of the planet.

This research paper, entitled "Artificial Snow in Peru: Analysis of Environmental and Social Risks of its Implementation in Natural Areas," proposes a critical assessment of the implications of implementing artificial snow in natural ecosystems in Peru, particularly in high Andean regions. The increase in tourist demand in areas where snow is rare has promoted the use of artificial technologies to simulate winter conditions, with the resulting environmental and social consequences. Consequently, a comprehensive analysis is required that meets scientific and technical criteria from a multidisciplinary perspective.

A thorough analysis also aims to assess the potential impacts on water resources, biodiversity, and ecological balance; the social impacts on local communities, including displacement, changes in traditional economic activities, and conflicts over water use; and the available environmental management tools and their level of application in this type of project. The study concludes that the implementation of artificial snow, when carried out without an adequate environmental assessment and without the participation of local populations, has irreversible ecological and social effects. For this reason, environmental control mechanisms must be strengthened, a sustainability approach implemented, and tourism alternatives promoted that are compatible with the preservation of the natural environment and respect for Andean communities.

The objective of this research was to design and validate logistic proposals under a circular economy approach, oriented to optimize the management of organic waste in hotels in the province of Lima. A non-experimental, descriptive and applied design methodology was applied, using industrial engineering tools and structural modeling techniques. Through structural equation analysis (SEM), critical operational variables were identified, such as personnel training, supervision and separation infrastructure, and the significant influence of managerial and municipal actors in decision making was determined. In response to these findings, the application of Failure Mode and Effects Analysis (FMEA) was proposed as a technical mechanism to intervene in critical points in the hotels' internal logistics process. This solution was evaluated for its technical relevance, replicability, and alignment with current regulations. It is concluded that the developed model represents a viable alternative to promote organic valorization from an operational and sustainable perspective in Latin American urban contexts.

The textile industry, driven by the fast fashion model, has had a significant environmental impact due to high waste generation and low recycling rates. In this scenario, reverse logistics emerges as a key strategy for promoting sustainability, enabling the return and reuse of textile products. However, its implementation faces multiple barriers, especially in countries with emerging economies. This review seeks to identify and categorize the main challenges and strategies associated with the adoption of reverse logistics in the textile sector, considering the differences between economic contexts. To this end, the PICO methodology was applied to formulate the exploratory questions, and the PRISMA protocol was used to ensure a rigorous selection process. A total of 777 articles from Scopus, ScienceDirect, and Web of Science were analyzed. Of that total, 31 studies were selected for meeting the established criteria. The findings reveal that the main barriers are technological, economic, and infrastructural, being more pronounced in developing countries. In addition, limited technological adoption, poor technical training, and low consumer participation were identified. The study concludes that the effective implementation of reverse logistics requires a comprehensive approach that combines technological innovation, clear public policies, and business commitment.

Plastic pollution is a growing environmental concern worldwide. This systematic review of the literature sought to analyze existing technologies for reducing plastic waste generated by the industrial sector. To this end, the PICOC methodology was used to identify search keywords and questions for subsequent analysis. Inclusion and exclusion criteria were also established, with the analysis period set at 2020–2024. Finally, the PRISMA method was applied to systematize the screening, with a total of 54 studies selected. The results obtained showed that the most notable technologies for plastic reduction are pyrolysis, reburning, degradative depolymerization, chemical recycling, mechanical filtering, and enzymatic biodegradation. These solutions have shown efficiency levels of over 90% in some cases, allowing plastic waste to be converted into energy, fuel, and recyclable materials. However, all technologies have disadvantages, such as high energy consumption, operating costs, availability of raw materials, or specialized infrastructure. Evidence suggests that there is no single technology that can solve the problem entirely; rather, a combination of solutions tailored to the type of plastic, industry, and desired objective is required. These technologies are a crucial step toward a circular economy and more sustainable production.