Sustainability Performance Indicators Research Articles

Developing an action-oriented performance framework for sustainability measurement in the new product development

PurposeThe integration of sustainability, performance measurement and new product development (NPD) is key for aligning environmental and social objectives with business strategies. While previous research has initiated proposals for integrating sustainability into NPD or incorporating sustainability into corporate measurement systems, there is a notable deficiency in studies that comprehensively integrate these three perspectives. In this sense, this study proposes a performance framework (PF) to integrate sustainability performance indicators (PIs) into the measurement system considering the company’s NPD phases.Design/methodology/approachThe PF was developed through a literature review and action research (AR). This resulting PF was positively evaluated by the practitioners in the company.FindingsFirst, the review enabled the synthesis of an initial conceptual PF with 188 sustainability PIs and a five-step procedure. Then, the empirical results of the AR led to a new PF that presents the systematisation of the PIs database and a practice-based seven-stage approach.Research limitations/implicationsThis action-oriented research limits the extent to which this study’s findings can be generalised. Future research should apply the PF in different research designs to produce managerially relevant knowledge.Practical implicationsThis PF may provide managers with actionable knowledge that best supports the measurement system integration with sustainability PIs considering the NPD phases.Originality/valueIntegrating sustainability, performance measurement and the NPD has been recognised as critical for supporting decision-making concerning the impact of processes and products. Compared with previous frameworks, the proposed PF extends the existing literature by introducing a systematised PIs database and a novel procedure for integrating sustainability measurement throughout the NDP.

Fabrication, sustainability, and key performance indicators of bioelectronics via fiber building blocks

Fabrication, sustainability, and key performance indicators of bioelectronics via fiber building blocks

A multi-criteria model of supply chain sustainability assessment and improvement for sugarcane agroindustry

The sustainability of the sugarcane agro-industry supply chain plays a crucial role in providing economic benefits, minimizing social and environmental impacts, and optimizing resource utilization. This research aims to analyze the sustainability performance of the sugarcane agro-industry supply chain using multi-criteria assessment and formulate strategies for sustainability improvement. The study proposes a multi-criteria assessment model with twenty-eight indicators and four dimensions of sustainability: economic, social, environmental, and resources, which were developed based on previous research. The fuzzy inference system (FIS) and multi-dimensional scaling (MDS) methods were utilized to analyze the multi-criteria indicators of sustainability performance in each dimension and overall supply chain. The Adaptive Neuro Fuzzy Inference System (ANFIS) model was used to aggregate multi-dimension sustainability to achieve overall sustainability performance. A fuzzy cognitive map (FCM) framework was developed to formulate strategies for improving the sustainability performance of the supply chain. The research was verified at two sugar mill locations in Java Island, Indonesia. The FIS and MDS models successfully analyzed the sustainability performance of the two sugar agro-industries, showing an average value of “quite sustainable”. The overall sustainability performance using the ANFIS model for mill A and B were 57.2 and 61.9, respectively. Series of FGDs combined with the FCM model successfully formulated five clusters of strategies as initiatives in improving the sustainability performance, namely raw material provision, harvesting and post-harvest activities, production process optimization, IT-based technology implementation, and institutional aspects. This present work seeks to contributes to the development of multi-criteria of sustainability performance for the food industry's supply chain. It also proposes a comprehensive framework for analyzing and improving sustainable supply chain performance under uncertainty using a combination of conventional and fuzzy assessment modeling approach. A practical initiative strategy in sustainability improvement is revealed for the sugarcane agroindustry's supply chain.

Driving the future: Leveraging digital transformation for sustainable transportation

The transportation sector is currently experiencing a significant transformation due to the influence of digital technologies, which are revolutionizing travel, goods transportation, and interactions with transportation systems. This study delves into the possibilities and obstacles presented by digital transformation in the realm of sustainable transportation. Moreover, it identifies the most effective methods for implementing digital transformation in this sector. Furthermore, our analysis sheds light on the potential impacts of digital transformation on sustainable development and environmental performance indicators within transportation systems. We discover that digital transformation can contribute to reduced greenhouse gas emissions, improved air quality, and increased resource efficiency, among other benefits. Nevertheless, we emphasize the potential risks and uncertainties associated with digital transformation, including concerns regarding data privacy, security, and ethics. Collectively, our research provides valuable insights into the opportunities and challenges presented by digital transformation in sustainable transportation. It also identifies best practices for successfully implementing digital transformation in this sector. The implications of our findings are significant for policymakers, businesses, and other stakeholders who aspire to drive the future of sustainable transportation through digital transformation.

Supply chain dynamism and ambidexterity for sustainable performance

Supply chains today operate in dynamic business environments and have options to exercise exploration to identify long-term opportunities and exploitation to maximise the current prospects towards sustainable performance. Hence, this study investigates how supply chain dynamism influences SC (supply chain) ambidexterity as supply chain capabilities to ensure sustainable performance under uncertain environmental conditions. The study tested sixteen hypotheses from extant literature through 361 surveys gathered from various industries and types of organisations. Data is analysed using variance-driven structural equation modelling. The findings illustrate supply chain dynamism’s positive influence on SC ambidexterity and sustainable performance indicators. Supply chain dynamism and environmental uncertainty do not benefit supply chain exploitation. Supply chain exploitation contributes more towards sustainable performance than supply chain exploration. Supply chain exploitation contributes more towards environmental performance than other indicators (social and economic) of sustainable performance. The study presents the implications for theory and practice, along with the scope for future research and concludes with key highlights.

Valuation of Bus Characteristics in Urban Area: Al-Najaf as a Case Study

Increased population, the rapid growth of vehicles owned, and quick land-use shifts have resulted in an abnormal rise in trips generated and directed to and from the activities area; the occurrence of traffic congestion in different segments of the transportation network leads to extended travel time, resulting in inconvenience and discontent among individuals. It has become necessary to provide alternative transportation systems, as city residents need faster, safer, and more comfortable transportation systems. This study aims to evaluate current public transport in Najaf city and propose a bus line based on international standards as an alternative transport means in al-Najaf city and its effectiveness. Sustainable performance indicators were evaluated based on previous studies, such as traffic congestion, travel time, sustainability, and reliability. Where Traffic flow rates indicate high congestion streets, as flow rates reached 6228 (Veh. /hr.) at Karbala-Najaf Street. The more increase in flow rates the more defect in the network, and the journey time increases reached 30 minutes at Kufa-Najaf Street (8,5) km. The data of traffic mix from most of urban roads have been determined. The results of studies stated that Public The forms of transportation in the city of Najaf are generally represented by several routes starting from the Najaf internal garage and passing through small buses. These routes do not cover the entire city and the actual need for people. The percentage of transport buses and minibuses is about 0.8% and 10%, respectively. The public transport in the city is not managed by any policies and has no schedule times for travels with no considerations for passengers' comfort which indicate that public transport sector in the city of Najaf is significantly poor.

Enhancing Sustainable Business Performance in China's Food Industry through Green Supply Chain Management

In the context of China's dynamic business landscape, this quantitative study delves into the intricate interplay between Green Supply Chain Management (GSCM) practices and their profound impact on sustainable corporate performance within the country's vibrant Food Industry. As global concerns about environmental degradation intensify, the imperative for sustainable corporate conduct escalates, and GSCM emerges as a pivotal catalyst, nurturing ecological responsibility and operational efficiency. Leveraging advanced statistical methodologies, this research scrutinizes the multifaceted influence of GSCM practices on enduring business excellence, drawing upon an extensive dataset amalgamated from diverse Chinese enterprises spanning various sectors. The investigation encompasses a comprehensive assessment of sustainable performance indicators, encompassing reductions in carbon footprint, minimization of waste, enhancement of operational cost efficiency, and elevation of corporate reputation, juxtaposed with the critical dimensions of GSCM, including green procurement, eco-friendly logistics, reverse logistics, and eco-design. Empirical findings gleaned from this research furnish substantiated insights into the ways in which GSCM techniques can pave the path to sustained corporate performance in China. While shedding light on the GSCM facets wielding the most significant influence, this study also unravels the intricate web of conditions and moderators that may shape this intricate relationship, thereby enriching our understanding of the nuanced dynamics at play. This study contributes to the growing body of knowledge on sustainable business practices in China's Food Industry and offers actionable insights for industry stakeholders, policymakers, and corporate leaders navigating the intersection of environmental responsibility and enduring profitability.

Prioritizing the attributes of sustainable banking performance

PurposeGrowing concern over sustainability adoption has presented an array of challenges to businesses. While vital to an economy's success, banking is not immune to societal, environmental and economic consequences of business practices. The study has examined the sustainable performance of banking institutions on the suggested multidimensional framework comprising economic, environmental, social, governance and financial dimensions and 52 sustainability indicators. The study benchmarks the significant performance indicators of leading banks indispensable to sustainable banking performance. The findings attempt to address research questions concerning the extent of sustainable banking performance, ranking the sustainability dimensions and indicators and standardizing sustainability adoption metrics.Design/methodology/approachTo determine the responsiveness of the banking industry to sustainability dimensions, content analysis was conducted using NVivo software for the year 2021–2022. Furthermore, a hybrid multicriteria decision-making (MCDM) approach is used by integrating entropy, the technique for order preference by similarity to ideal solution (TOPSIS) and VlseKriterijumska Optimizacija KOmpromisno Resenje (VIKOR) to provide relative weights to performance indicators and prioritize banks based on their sustainable performance. Sensitivity analysis is used to ensure the robustness of results.FindingsIn the context of the Indian banking industry, the pattern of sustainability reporting is inconsistent and concentrated on addressing environmental and social concerns. The results of the entropy methodology prioritized “Environmental” sustainability over other selected dimensions while “Financial” dimension has been assigned the least priority in the ranking order. The significant sustainable performance indicators delineated in this study should be used as standards to ensure the accountability and credibility of the sustainable banking industry. Additionally, the research findings will provide valuable inputs to policymakers and regulators to assure better contribution of the banking sector in meeting sustainability goals.Originality/valueConsidering the paucity of studies on sustainable banking performance, this study makes two significant contributions to the literature. First, the suggested multidimensional disclosure model integrating financial and nonfinancial indicators would facilitate banking institutions in addressing the five aspects of sustainability. As one of the first studies in the context of the Indian banking industry, the findings would pave the way for better diffusion of sustainability practices. Second, the inclusion of MCDM techniques prioritizes the significance of sustainability indicators and benchmarks the performance of leading banks to achieve better profits and more substantial growth.

Sustainability-focused optimization of fused-deposition component design and manufacturing

The sustainability of the fused-deposition modeling process and its optimization is studied in this paper using a method in which consideration is simultaneously given to the design of the structural component and its 3D-printing process. The proposed method is used to determine the mechanical properties of the deposited materials, through an experimental study that follows an experimental design with variable printing parameters. Having recorded the values of the material properties, a topological optimization of each experimental point is performed. Then, the printing processes are designed with the help of a slicing software package and, based on the results, the corresponding key sustainability performance indicators are computed on the basis of the printing parameters. Finally, an optimization process is conducted and the most convenient solution is chosen. Validated using a real case study, the effectiveness of the proposed approach is demonstrated for determining the most suitable choice when design and manufacturing are simultaneously considered through the lens of sustainability.

A conceptual framework for sustainability impact assessment in machining bohler tool steel under hBN-enriched nano cutting fluids environment

The term “sustainability assessment” refers to a set of practices that “guide the planning and decision-making process to realize sustainable development.” Sustainability is becoming an increasingly central notion for many businesses. However, the current sustainability assessment techniques are being heavily criticized for a number of reasons, including a lack of interdependence and consistency, the predominance of subjectivity, and financial biases. Therefore, the present study applies the fundamental conceptual framework for sustainability evaluation to enhance the process performance of machining Bohler K490 steel using minimum quantity lubrication (MQL) and hBN-enriched nano-MQL cooling/lubrication. Power consumption and machining parameters such as tool wear, surface roughness, and chip morphology were taken into account while developing the sustainability assessment model. Then, the sustainability performance indicator (SPI) was determined. This global SPI supports the claim that using nano-MQL improves both sustainability and machining performance. The findings of tool wear clearly illustrated that applying hBN-enriched nano fluids from both the rake and flank surface reduced the tool wear values by up to 26.9%.

Multi criteria decision making with machine-learning based load forecasting methods for techno-economic and environmentally sustainable distributed hybrid energy solution

Global energy transition demands increasing renewable share in the power mix. Intermittency of resources and the variability of load are the critical challenges of distributed renewable energy systems. Uncertainty of load affects the accurate capacity determination of hybrid energy systems. It creates difficulties to decide the expected cost of electricity. An accurate forecasting may minimize the future load uncertainty. The study integrates accurate load forecasting with subsequent techno-economic and environmental impact assessment (by full life cycle assessment). The proposed methodology helps to determine accurate capacity of the components of energy combination which improves economic and environmental performance. It will enhance the overall sustainability of such energy systems. Predictions of three different forecasting methods: one classical, one hybrid and another fuzzy-based, are compared for determining the most accurate forecasting by minimizing the mean absolute percentage error. This accurate forecasted data is used for better estimation of capacities of component systems for uninterrupted power. The performance indicators for overall sustainability may not converge to the same optimum solution. A multi criteria decision making approach is then adopted. It decides the finally acceptable optimum solution on the basis of the equal weights of different performance criteria. The robustness of this obtained solution is evaluated. Results show that the fuzzy-based forecasting method is the most accurate one for this integrated methodology. The mean absolute percentage error for this forecasting is 6.3% and 3.2% lesser than those of the classical and hybrid forecasting methods respectively. The integrated methodology shows that the combination of photovoltaic-diesel generator-lead acid battery is the acceptable optimum solution with maximum overall sustainability. This combination has a cost of electricity-0.100$/kWh, net present cost-5374$, excess electricity-21.7%, human health- 1.14 DALY, ecosystems- 0.002 species.yr and resources- 386120 USD2013 for sustainability.

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background: Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods: The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results: The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Conclusions: The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Long-term sustainability and resilience enhancement of building portfolios

The role of community building portfolios in socioeconomic development and the growth of the built environment cannot be overstated. Damage to these structures can have far-reaching consequences on socioeconomic and environmental aspects, requiring a long-term perspective for recovery. As communities aim to enhance their resilience and sustainability, there is a cost burden that needs to be considered. To address this issue, this paper proposes a community-level performance enhancement approach that focuses on optimizing the long-term resilience and sustainability of community building portfolios, taking into account recurrent seismic hazards. A Gaussian process surrogate-based multi-objective optimization framework is utilized to optimize the cost objective while considering performance indicators for resilience and sustainability. The proposed framework involves using performance-based assessment methods to evaluate the socioeconomic and environmental consequences under stochastic and recurrent seismic hazard scenarios. These evaluated indicators are then used to efficiently optimize the community resilience and sustainability, taking into account the retrofit costs. Finally, approximate Pareto-optimal solutions are extracted and utilized for decision-making. In summary, this paper presents a novel approach for optimizing the long-term resilience and sustainability of community building portfolios by considering recurrent seismic hazards. The proposed framework incorporates performance-based assessment methods and multi-objective optimization techniques to achieve an optimal balance between cost, resilience, and sustainability, with the ultimate goal of enhancing community well-being and decision-making in the face of seismic hazards.

Approach to the Impact of Digital Technologies on Sustainability Reporting through Structural Equation Modeling and Artificial Neural Networks

The motivation for study derives from the requirements imposed by the European Union Corporate Sustainability Reporting Directive, which increases the sustainability reporting scope and the need for companies to use emerging digital technologies. The research aim is to evaluate the digital transformation impact of the European Union companies on sustainability reporting expressed through three sustainable performance indicators (economic, social, and ecological) based on a conceptual model. The data were collected from Eurostat for 2011–2021. The study proposes a framework for sustainable performance analysis through linear regression models and structural equations. Additionally, a hierarchy of digitization indicators is created by modeling structural equations, depending on their impact on sustainability performance indicators, which is validated using neural networks. The results indicate that the company’s digital transformation indicators positively influence economic and social performance and lead to an improved environmental protection (a decrease in pollution), proving the established hypotheses’ validity. The proposed model can be the basis for companies to create their dashboards for analyzing and monitoring sustainable performance. This research can be the basis of other studies, having a significant role in establishing economic and environmental strategies to stimulate an increase of companies that carry out sustainability reporting.

Sustainable supply chains in the heavy vehicle and equipment industry: a multiple-case study of four manufacturers

PurposeRecently, interest in sustainability has grown globally in the heavy vehicle and equipment industry (HVEI). However, this industry's complexity poses a challenge to the implementation of generic sustainable supply chain management (SSCM) practices. This study aims to identify SSCM's barriers, practices and performance (BPP) indicators in the HVEI context.Design/methodology/approachThe results are derived from case studies of four multinational manufacturers. Within-case and cross-case analyses were conducted to categorise the SSCM BPP indicators that are unique to HVEI supply chains.FindingsThis study's analysis revealed that supply chain cost implications and a deficient information flow between focal firms and supply chain partners are the key barriers to SSCM in the HVEI. This analysis also revealed a set of policies, programmes and procedures that manufacturers have adopted to address SSCM barriers. The most common SSCM performance indicators included eco-portfolio sales to assess economic performance, health and safety indicators for social sustainability and carbon- and energy-related measures for environmental sustainability.Practical implicationsThe insights can help HVEI firms understand and overcome the typical SSCM barriers in their industry and develop, deploy and optimise their SSCM strategies and practices. Managers can use this knowledge to identify appropriate mechanisms with which to accelerate their transition into a sustainable business and effectively measure performance outcomes.Originality/valueThe extant SSCM literature has focused on the light vehicle industry, and it has lacked a concrete examination of HVEI supply chains' sustainability BPP. This study develops a framework that simultaneously analyses SSCM BPP in the HVEI.

Structuring and Measuring Environmental Sustainability in the Steel Sector: A Single Case Study

Climate change policies are affecting the economic and structural viability of European Union (EU) industries, particularly in the energy-intensive sector, with very challenging goals of EU Agenda 2030 in terms of CO2 reductions and energy efficiency. This ecological transition can be supported by the employment of innovative technologies, enabling production process efficiency, resource optimization and supply-chain integration. Nevertheless, it is still empirically unclear how energy-intensive industries will complete their ecological transition successfully, especially in terms of achieving environmental sustainability practices within the organization and in the supply-chain without endangering their economic availability. Moreover, the assessment of environmental sustainability performance is still not a unique standard framework, causing loss of transparency and traceability towards internal and external stakeholders, such as managers, investors and business partners. With 20 qualitative interviews of customers and experts of a company leader in the steel construction sector in Italy and Germany, the Feralpi Group, this paper explores the implications of strategic environmental sustainability indicators, which can transparently assess company performance. Preliminary results underline how shared standardized indicators are fundamental for a tighter supply-chain integration, giving impulse and significance to the steel producers’ efforts for environmental sustainability excellence. Future research should further investigate the connection between environmental sustainability strategies and performance indicators for a more integrated sustainability framework.

Integrating Input/Output Analysis and Green Technological Innovation to Enhance Sustainable Performance in Economic Units

The research aimed to improve the level of sustainable performance in the economic units, especially the industrial ones. This is done by studying and analyzing the theoretical foundations and knowledge foundations for each of the input / output analysis and green technological innovation and evaluating the level of application of the Iraqi industrial economic units for them by choosing the Al-Zawraa General Company in Baghdad as a place for research. That company is one of the subsidiaries of the Iraqi Ministry of Industry and Minerals. An applied study was conducted on the company for the period (2020-2021). The extent of its use of green technology in its production and operational processes was evaluated by relying on sustainable performance indicators. The efficiency of natural and human resources, waste, air emissions, and water pollution were analyzed and diagnosed for solar photovoltaic energy systems, cost accounting by (IOA), and fault handling and sustainable performance improvement by (GTI). The research reached a set of conclusions, the most important of which was the suffering of the company under study from the lack of central government support for it and the failure to provide sufficient financial allocations for the application of green technology innovations. There are also no current or future visions for dealing with the waste and emissions caused by solar energy systems after the end of their lifespan. The application of (IOA) and (CTI) enables the economic unit in question to achieve many sustainable advantages, including: saving natural resources and improving the efficiency of their use, reducing costs, increasing market share and maximizing its profits, providing environmentally friendly products and services of high quality and efficiency, creating A supportive environment for creative ideas, supporting the process of sustainable decision-making, enhancing sustainable competitive advantages, contributing to preparing sustainable reports by diagnosing environmental, creative and other sustainable costs, and then improving its level of sustainable performance.

Improvement and Implementation of Sustainable Key Performance Indicators in Supply Chain Management: The Case of a Furniture Firm

Improvement and Implementation of Sustainable Key Performance Indicators in Supply Chain Management: The Case of a Furniture Firm

Sustainable competitiveness practices of SMEs: a strategic framework using integrated DEMATEL-NK model

Purpose It is critical for small and medium-scale enterprises (SMEs) to review and monitor sustainability performance indicators across three dimensions: economic, environmental and social to attain long-term competitiveness. SMEs lack a holistic perspective on sustainability; they are frequently hindered from contemplating environmentally favorable investments beyond what is legally needed. The purpose of this paper is to present a joint Decision-making trial and Evaluation Laboratory (DEMATEL) and NK methodology for developing a process model for introducing and implementing sustainable competitiveness practices for SMEs. Design/methodology/approach This study addresses the issue by adopting a sustainable competitiveness practices framework and applying a novel method that integrates DEMATEL and NK model for evaluating and developing the implementation path model for Indian manufacturing SMEs. Findings This paper also demonstrates that not only the relational practice itself but also the order in which the relational practices are implemented can be related to performance. According to the authors' preliminary findings, organizations in this study should first implement a social dimension, which includes sustainable leadership, knowledge sharing, etc., then an economic dimension like quality, sustainable innovations, etc., and finally environmental dimensions like green marketing, solid waste reduction, etc., with their management for competitiveness. Research limitations/implications These findings offer some preliminary information as well as advice for managers and policymakers looking to integrate sustainable efforts. Practical implications This study asserts that not only the interdependent practice but also the sequence of implementation is important and can relate to the performance. The path result shows that the organization develops first sustainable design and product development (economic), sustainable leadership (social) and solid waste reduction (environmental) practices. Originality/value There is no such study that develops a process model for introducing and implementing sustainable competitiveness of SMEs which assesses and analyzes the interdependencies across relational behaviors, to the best of authors’ knowledge. The novelty of this work lies in integrating DEMATEL-NK model approach.

Testing the integrated risk and sustainability assessment (RSA) framework for ‘water scarcity – water reuse’ situations: The case of Cerrillos de Tamaya, Chile

The projected increase in ‘water scarcity – water reuse’ situations, the associated risks and sustainability challenges, and trends towards holistic approaches motivate the development of integrated assessment for decision-making. The integrated Risk and Sustainability Assessment (RSA) Framework combines the analysis and evaluation of both risk and sustainability of ‘water scarcity – water reuse’ situations. This work aims to test the RSA Framework in a case study in Chile. The analysis uses a multi-layer approach and lane-based approach to translate the real-world system into an information system and to determine interlinkages between indicators. The evaluation involves thresholds and weights to calculate risk and sustainability sub-indices and an RSA index applying TOPSIS. The results indicate low interlinkage between risk and sustainability indicators, visibilising the importance of which and how indicators are considered and what they measure. They show a higher than tolerable degree of risk but an acceptable degree of sustainability. The relevance of spatial and temporal scales for the assessment becomes evident. Spatial aspects are key in determining the degree of water scarcity and how the impact of water reuse can be included in its calculation. Temporal aspects complicate the integration of risk (scenario-based) and sustainability (snapshot mode) assessments. The TOPSIS method appears to be suitable for the aggregation of risk and sustainability performance indicators. Altogether, the results show the potential of the RSA Framework for organising and processing information required to support decision-makers addressing ‘water scarcity – water reuse’ situations from the perspectives of risk and sustainability.