The Sustainability Cycle and Loop: models for a more unified understanding of sustainability

Quercus suber: A Promising Sustainable Raw Material for Cosmetic Application

There is a drive within the cosmetic industry towards the development of more sustainable products, supported by consumer awareness of the environmental footprint. The cosmetic industry is rising to meet consumer demand by following practices, such as the use of by-products from agro-industrial waste. Quercus suber is a tree prevalent in the Mediterranean basin. The extraction of cork is considered sustainable, as this process does not harm the tree, and the amount of cork produced increases with the number of extractions. Beyond this, the cork industry produces by-products that are used to sustain the industry itself, such as cork powder, which is reused for generating energy. Additionally, cork and cork by-products contain bioactive compounds mainly with antioxidant activity that can be of use to the cosmetic industry, such as for antiaging, anti-acne, anti-inflammatory, and depigmenting cosmetic products. We provide the reader with an overview of the putative cosmetic applications of cork and its by-products as well as of their bioactive compounds. It is noteworthy that only a few cork-based cosmetic products have reached the market, namely antiaging and exfoliant products. Clearly, the use of cork upcycled cosmetic ingredients will evolve in the future considering the wide array of biological activities already reported.

Sustainability in Railway Investments, a Study of Early-Phase Analyses and Perceptions

This article presents a study of sustainability in railway investment projects. The purpose of the study was to analyse how sustainability is interpreted and evaluated in the early phases of major public investment projects. These phases are characterized by potentially very influential decisions being made prior to when precise, detailed knowledge is available. The research uses a mix of qualitative and quantitative information sources and three datasets; 12 interviews, document analyses for 10 railway projects, and a case study. The qualitative data are from semi-structured interviews, while the quantitative data are based on structured document review of planning documents from ten Norwegian railway projects. In addition, a detailed case study of a major rail infrastructure project has been performed. The findings show that several aspects of sustainability are evaluated in the early phase of investment projects, but there are no explicit requirements to do an overall analysis of sustainability. Environmental aspects of sustainability are predominant in the respondents’ interpretation of the concept. Still, the structure and requirements of the early phases in the national project model ensures that the economic dimension of sustainability has the most influence in decisions regarding which project concepts that receive financing for further development.

Focal points for sustainable development strategies-Text mining-based comparative analysis of voluntary national reviews

Countries have to work out and follow tailored strategies for the achievement of their Sustainable Development Goals. At the end of 2018, more than 100 voluntary national reviews were published. The reviews are transformed by text mining algorithms into networks of keywords to identify country-specific thematic areas of the strategies and cluster countries that face similar problems and follow similar development strategies. The analysis of the 75 VNRs has shown that SDG5 (gender equality) is the most discussed goal worldwide, as it is discussed in 77% of the analysed Voluntary National Reviews. The SDG8 (decent work and economic growth) is the second most studied goal, With 76 %, while the SDG1 (no poverty) is the least focused goal, it is mentioned only in 48 % of documents and the SDG10 (reduced inequalities) in 49 %. The results demonstrate that the proposed benchmark tool is capable of highlighting what kind of activities can make significant contributions to achieve sustainable developments.

Knowledge Management and Performance Measurement Systems for SMEs’ Economic Sustainability

This paper aims to explore the relationships between knowledge management (KM), performance measurement systems (PMSs), and small and medium enterprises’ (SMEs) economic sustainability in knowledge-intensive sectors. The literature demonstrates that SMEs are often characterized by unstructured KM approaches and limited PMS implementation, being at the same time affected by scarce profitability and financial issues. Adopting the knowledge-based view of the firm and the contingency theory of PMSs, we tested the impact of two alternative KM approaches (exploitation and exploration) on SMEs’ economic sustainability, measuring the moderating effect of PMS use (diagnostic and interactive). Through an ordinary least squares (OLS) regression of data collected for 219 Italian medium firms operating in knowledge-intensive sectors, this study provides evidence on how a specific KM approach supports the SME economic sustainability and how a consistent implementation and use of PMS amplify the relationship between KM and economic sustainability. Data analysis confirms the relevance of some key concepts of the knowledge-based view of the firm, especially the positive impact of the KM exploration approach on economic sustainability. Additionally, the paper extends empirical evidence for the PMS moderating effect on the KM–performance relationship. To the best of our knowledge, this is the first time that a study provides evidence for the relationships among KM, PMSs, and economic sustainability in the SME setting. Moreover, our findings lead to some managerial implications, especially they encourage SME entrepreneurs and managers to design a coherent KM approach and to implement an adequate PMS in order to support economic sustainability.

Network model-based analysis of the goals, targets and indicators of sustainable development for strategic environmental assessment

Strategic environmental assessment is a decision support technique that evaluates policies, plans and programs in addition to identifying the most appropriate interventions in different scenarios. This work develops a network-based model to study interlinked ecological, economic, environmental and social problems to highlight the synergies between policies, plans, and programs in environmental strategic planning. Our primary goal is to propose a methodology for the data-driven verification and extension of expert knowledge concerning the interconnectedness of the sustainable development goals and their related targets. A multilayer network model based on the time-series indicators of the World Bank open data over the last 55 years was assembled. The results illustrate that by providing an objective and data-driven view of the correlated variables of the World Bank, the proposed layered multipartite network model highlights the previously not discussed interconnections, node centrality measures evaluate the importance of the targets, and network community detection algorithms reveal their strongly connected groups. The results confirm that the proposed methodology can serve as a data-driven decision support tool for the preparation and monitoring of long-term environmental policies. The developed new data-driven network model enables multi-level analysis of the sustainability (goals, targets, indicators) and will make it possible to plan long-term environmental strategic planning. Through relationships among indicators, relationships among targets and goals can be modelled. The results show that sustainable development goals are strongly interconnected, while the 5th goal (gender equality) is linked mostly to 17th (partnerships for the goals) goal. The analysis has also highlighted the importance of the 4th (quality education).