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Item type:Publication, Sustainability of Urban Infrastructure(Springer, 2020-01-01)As part of the efforts to materially build a sustainable city is the sustainability of urban infrastructure approach, which seeks to guarantee built physical spaces thinking of ensuring a harmonious life, mainly considering what the damage that climate change can cause to buildings can be and use technologies that allow to resist corrosion, humidity, and the various damages in the constructions, both in homes and in offices, schools, and mass call centers in the cities. When analyzing the literature, research trends focused on new strategies are shown. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Supply Chain Innovation and Sustainability Frontiers: A Balanced Scorecard Perspective(Springer, 2020-01-01)Global trade has been growing at a steady pace since the 1950s, which has brought increasing operational challenges to supply chains. Technological advances and the “digital revolution” bring new opportunities to improve key supply chain processes in many sectors, including transportation. However, while embracing innovation, firms have to ensure that they do not lose strategic focus and that their performance measurement systems continue to evolve. This study explores how disruptive innovations in supply chain operations may produce unexpected outcomes for firms’ strategy. We analyze four examples of technological innovation in transport under a Balanced Scorecard framework. Our reflections shed light on the potential trade-offs that organizations may face between different dimensions of performance to pursue sustainable development goals. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multi-objective optimization of nutritional, environmental and economic aspects of diets applied to the Spanish context(MDPI, 2020-11-01)Current food consumption patterns must be revised in order to improve their sustainability. The nutritional, environmental, and economic consequences of these dietary patterns must be taken into consideration when diet guidelines are proposed. This study applied a systematic optimization methodology to define sustainable dietary patterns complying with nutritional, environmental, and economic issues. The methodology was based on a multi-objective optimization model that considered a distance-to-target approach. Although the three simultaneous objectives (maximal nutritional contribution, minimal greenhouse gas emissions, and minimal costs) could be divergent, the proposed model identified the optimal intake of each food product to achieve the maximal level of nutritional, environmental, and economic diets. This model was applied to six different eating patterns within the Spanish context: one based on current food consumption and five alternative diets. The results revealed that dietary patterns with improved nutritional profiles and reduced environmental impacts could be defined without additional costs just by increasing the consumption of vegetables, fruits, and legumes, while reducing the intake of meat and fish. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Contextualizing Scenarios to Explore Social-Ecological Futures: A Three Step Participatory Case Study for the Humboldt Current Upwelling System(Frontiers Media S.A., 2020-10-21)In the face of global change, the exploration of possible futures of marine social-ecological systems (MSES) becomes increasingly important. A variety of models aims at improving our understanding of ecosystem dynamics and complexities by assessing how systems react to internal and external drivers of change. However, these models are often built from a natural-science perspective through a reductionist and top-down knowledge production process that does not engage with the interests, concerns and knowledge of stakeholders. Our work explores different futures of the Peruvian MSES tied to the Humboldt Current Upwelling System (HCUS) through a sequential integrative participatory scenario process. The methodology used opens novel ways to explore, at different contextual levels, the uncertainties of the future and, in doing so, to include diverging world views of different actors. This approach implies a broader social processing of scientific projections about the future and encourages the articulation of different notions of sustainability. We thereby contribute to current scientific discussions on scenario planning in MSES by exploring potential futures through the analysis of narratives, a process that helps to identify plausible future development pathways that can inform different types of ecosystem modelling or policy making. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cybersociety and university sustainability: The challenge of holistic restructuring in universities in Chile, Spain, and Peru(MDPI, 2020-07-02)The global challenge of the 2030 Agenda and the Sustainable Development Goals present a framework of opportunities, in which universities must respond to the demands of a sustainable social organisation by addressing the issues of quality education, the participation and inclusion of different sectors, and the need to promote university social responsibility. In response to this situation, we examine three experiences that highlight the reorganisation demanded at each of the three organisational levels: (1) Macro: the need for cooperation between different universities in Chile’s “macrocampus”; (2) Meso: the organisation and running of faculties in light of the challenges to renew curriculums with the experience implemented by the Social Sciences Faculty of Pablo de Olavide University in Spain; and, (3) Micro: the integration of students and commitment to the needs of the social surroundings, with the E-QUIPU experience implemented at Pontifical Catholic University of Peru (PUCP) in Peru. The report we present is based on a case study, and the findings and conclusions lead us to propose a new holistic-organisational paradigm to facilitate the sustainability of universities. The results of the restructuring allowed us to conduct a meta-evaluation of the sustainability of organisations within a problematic situation (COVID-19), which tested the results of the restructuring objective of Cybersociety.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Regional development in Amazonas, Peru: science-society interactions for sustainability(SAGE Publishing, 2020-09-16)Scientific-technological knowledge maintains the anthropocentric power-pattern and exploitive attitude with regard to nature, but sustainability science asks for an integration of territorial and decontextualized knowledge systems. Visual participatory methodologies involving diverse local stakeholder facilitate dialogue on environmental and sustainability issues. Inspired by visual ethnography and mediated discourse analysis, the present article uses semiological analysis to reconstruct the depicted narratives on the nature-society system in drawings representing “regional development”. The drawings were elaborated in a series of participatory workshops involving university faculty and students, regional government and non-governmental organizations and farmers from local communities in the northern Amazonian region of Peru. The analysis reveals a prevailing anthropo and technology centered, “colonial” conception of the nature-society system, and a marginalization of alternative narratives. Beyond confirming the potential for visual participatory methods to enhance multi-stakeholder dialogue, it demonstrates how semiological analysis can be used to deepen an understanding of the cultural, organizational and technological constraints facing critical, trans-disciplinary efforts to decolonize the technology-centered, anthropocentric mainstream worldview of nature and society. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Managerial support for innovation as the source of corporate sustainability and innovative performance: Empirical evidence from Turkey(Wiley, 2020-09-15)Managerial support for innovation plays an important role in improving the competitive positions of public and private companies. To determine the outcomes of managerial support for innovation, we conducted a survey among 333 senior staff working in 20 logistics companies in Turkey. The findings of the study show that managerial support for innovation and financial innovation improve the corporate sustainability and innovation performance of companies in the logistics sector. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A contribution of fuzzy logic to sustainable tourism through a case analysis in Brazil(IOS Press, 2020-09-08)Society is increasingly concerned about environmental, social and economic issues. According to the World Tourism Organization, over the past six decades, tourism has experienced a continuous expansion and diversification to become one of the fastest-growing economic sectors in the world. Furthermore, studies affirm the complexity of the tourism sector and the fact that sustainable development depends on various topics that are not correctly identified by managers and policymakers. For these reasons, this paper aims to reflect on the effects of tourism and to propose alternatives that can be sustainably managed. In terms of results, knowledge gaps have been identified and, through a case analysis in Brazil, the forgotten effects of tourism activity that can have an impact on sustainable development have been exposed. Also, an algorithm has been presented to manage uncertainty and facilitate decision-making. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multiple criteria assessment of sustainability programs in the textile industry(Wiley, 2020-09-14)Abstract To survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A microgrid energy management system based on chance-constrained stochastic optimization and big data analytics(Elsevier, 2020-05-01)A Microgrid (MG) is a promising distributed technology to solve todays energy challenges. They are changing how electricity is produced, transmitted, and distributed, enabling to capture massive amounts of data from sensors, and other electrical infrastructures. However, recent advances in modeling and optimization of MG neither integrate the use of big data technologies aggressively nor focus on developing an optimal operational strategy for a single building. To bridge this gap, this research proposes to use Apache Spark to enhance the performance of a scalable stochastic optimization model for an MG for multiple buildings, and to ensure that a significant portion of the wind power output will be utilized. The decision model is formulated as a chance constraint two-stage optimization problem to obtain operation decisions for a behind-the-meter topology. The comparison between the current practice of using historical data and integrating Apache Spark technologies demonstrates the superiority of the streaming data as energy management strategy. Experiments under different settings show that using big data strategy, the model can (1) achieve more cost savings of the total system, (2) increase resiliency to power disturbances, and (3) build a data analytics framework to enhance the decision-making process.