Sustainability Performance Evaluation Research Articles

Sustainability Performance Differences of Industrial Heritage Regeneration Implementation Modes

In high-density cities around the world, the contradiction of sustaining development and limited resources has become more evident. Transforming historic industrial buildings, through both functional and spatial adjustments, has emerged as a key strategy to manage these challenges effectively. There is a significant demand for the quick regeneration of industrial heritage districts, resulting in the emergence of various implementation modes (IMs). While the Sustainable Development Goals (SDGs) have gained widespread acceptance, the integration of sustainability principles into urban regeneration practices has strengthened globally. However, in many regions, approaches to achieving sustainable regeneration are still unclear, with a lack of evaluation and adjustment of sustainability performance (SP). This paper combines qualitative analysis and a quantitative assessment of indicators to compare three representative case studies with different IMs. It explores whether there is a connection between the chosen IM and SP, examines the mechanisms of impact, and discusses how to select the most suitable IM for industrial heritage regeneration. The study confirms the practicality of an SP evaluation system and identifies key factors within IMs that affect SP. Future research is expected to produce tools that support the promotion of sustainability in industrial heritage regeneration efforts.

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. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. 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.

Integrated and sustainable performance evaluation of urban rail transit systems using fuzzy sustainability index

The complexity of prominent dimensions in urban rail transportation sector arises from the involvement of several stakeholders and the various interacting variables for evaluating transportation performance. This study uses a fuzzy logic-based method to present an index-based framework for sustainable performance assessment. The proposed framework presents 4 main indicators which include environmental, economic, financial and social sustainability, 14 sub-indicators, 4 main indicators for transportation system effectiveness with 13 sub-indicators and 1 main indicator for multi modal integration with 6 sub-indicators. The performance ratings and importance weights of the transport sustainability attributes are evaluated using a fuzzy logic approach. A numerical illustration is provided to demonstrate the applicability of the approach. The results show that system capacity (passenger capacity of a route), comfort and customer service (passenger environment and ride quality, maintenance cycle) and multimodal integration (park and ride facilities) were found to be weaker attributes. The proposed methodology facilitates the systematic understanding of the prominent attributes for achieving integrated and sustainable transport performance by using the ‘Fuzzy Transport Sustainability Index’.

A hybrid multi-criteria decision-making approach for hospital sustainability performance assessment

PurposeNowadays, the sustainability of healthcare services is of increasing importance. In particular, hospitals have ceased to be only treatment-oriented institutions and have begun to operate on the principles of sustainability in their environmental, economic and social dimensions. In this context, a comprehensive method is required to evaluate and improve the performance of hospitals.Design/methodology/approachIn this study, it is recommended to combine D-DEMATEL (D number theory and decision-making trial and evaluation laboratory methods) and objectives matrix (OMAX) methods, which are two important methods in determining hospital performance. D-DEMATEL is a technique used to analyze complex relationships and interactions that reduces subjective judgments because it is based on the opinions of many decision-makers and can be applied even in cases of incomplete information. OMAX, on the other hand, provides a comprehensive framework for measuring performance and allows different performance indicators to be evaluated together.FindingsThe novel performance assessment model is applied to a hospital in real life. Its performance value, according to 36 determined performance indicators, is calculated at 56.91%. The indicators of the hospital that need improvement are defined by the traffic light system method. The performance indicator importance ranking of D-DEMATEL is compared to the ranking obtained by the fuzzy DEMATEL method.Originality/value Important indicators to be used in later sustainable hospital performance evaluation studies were determined. Also, an integrated D-DEMATEL and OMAX method for evaluating sustainable hospital performance is presented.

Sustainable performance evaluation of the banking industry based on CPT-TOPSIS: a case study of commercial banks in China

Sustainable performance evaluation of the banking industry based on CPT-TOPSIS: a case study of commercial banks in China

Sustainable performance evaluation of low-volume rural roads using the analytic hierarchy process

Sustainable performance evaluation of low-volume rural roads using the analytic hierarchy process

Identification of Criteria in the Integrated Reports of Brazilian Mixed Capital Companies: A Documentary Research for the Evaluation of Sustainable Performance

Objective: The objective of this study is to investigate and gather, through documentary research, the common criteria in the Integrated Reports of mixed capital companies, specifically financial institutions, for the period from 2020 to 2022. Theoretical Framework: This section presents the main concepts and theories that support the research, divided into: Accountability Unit, Mixed Capital Companies, and Integrated Reporting. These topics will serve as the foundation for understanding the research question and for supporting the study’s findings. Methodology: The methodology of this study involved a documentary research of the integrated reports published on the Federal Court of Accounts website and on the organizations' websites. First, the companies were selected, and then the integrated reports were gathered for analysis. Subsequently, the common criteria in the reports from 2020 to 2022 were identified. Analysis and Discussion of Results: The analysis of the Integrated Reports of Brazilian mixed capital companies, specifically financial institutions, for the years 2020 to 2022, revealed several common criteria used by these organizations in preparing their reports. As a result, the analysis showed that the most common criteria among mixed capital companies are related to General Contents, Economic Performance, Materials, Energy, Employment, Training and Education, and Diversity and Equal Opportunities. Research Implications: The implication of the research lies in the fact that the criteria identified through the analysis will serve as a foundation for other studies aimed at developing a multicriteria decision-making method, through group decision-making, capable of evaluating the sustainable performance of mixed capital companies. Originality/Value: The originality and value of this research lie in the identification of common criteria in the Integrated Reports of mixed capital companies, specifically financial institutions, between 2020 and 2022. This detailed analysis not only reveals significant patterns but also establishes a solid foundation for the development of multicriteria decision-making methods. This will facilitate the evaluation of the sustainable performance of these organizations, significantly contributing to the literature and providing new tools for researchers and professionals in the fields of sustainability and corporate transparency.

Sustainability and durability performance evaluation of geopolymer concrete with industrial effluent as alternative to conventional river sand

Due to infrastructural development activities, the need for the construction materials increases, because of which most of the naturally available natural resources are over exploited and the cost of construction materials are increased. Therefore, the present study focuses on the use of industrial by-products for the development of concrete and examines the physical, mechanical, durability and sustainable performances. Fly ash (FA) and ground granulated blast furnace slag (GGBS) were employed as binder medium and the industrial effluent sodium silicate waste was used to replace the conventional river sand in the geopolymer concrete (GPC). GGBS was employed as source material for the production of concrete to increase the polymerization reaction process and further, the developed concrete was cured in the ambient condition of temperature range 27 ± 2 °C, in the laboratory. The concentration of the sodium hydroxide (NaOH) in the present study was 12M, and the alkaline solution ratio was 1:1.5. During the production process of sodium silicate solution in the factory, the residue left at the bottom of the boiling hopper were dumped as waste in the open land. GPC gains its strength based on the alumina and silica in the source material and alkaline activator solution, therefore, this industrial waste residue was identified as potential alternative to conventional river sand. The concrete with and without effluent was subjected to two types of acid (Sulfuric acid (H2SO4) and Hydrochloric acid (HCl)) and further to examine the performance of concrete under marine condition, two types of salt solutions, namely, magnesium sulfate (MgSO4) and Sodium Chloride (NaCl) were used, the concentration of acids employed in the present study is 2% and the marine solution is 3.5%. Increase in the proportion of effluent from 0% to 100% decreases the slump value of the concrete. Contrastingly, increasing the proportion of effluent increases the strength of GPC after 28-d of room temperature curing. To examine the performance of the concrete under acidic and marine conditions, average of three concrete specimens were employed and the duration of exposure was considered in the present study starts from 28-d and continues till 360-d. After exposing to acidic environment, mass loss, strength loss and surface modification were examined; the loss in mass was found to be 1.5–3% and the strength loss was found to be 35%–45%. In the case of salt solution exposure, the loss in mass was seen to be 1–2% and whereas in the case of strength, the loss was found to be 30%–42%, respectively. Further, the sustainability aspects of the concrete with industrial effluents were examined in detail; focusing on economic value of the concrete, carbon emission and energy demand during the production of concrete.

Evaluation of Corporate Sustainability Performance through the Integration of ESG and Balanced Scorecard in Manufacturing Companies in Surabaya

This study evaluates the corporate sustainability performance of manufacturing companies in Indonesia by integrating Environmental, Social, and Governance (ESG) criteria with the Balanced Scorecard (BSC). Using a quantitative analysis approach, data were collected from 200 manufacturing companies through a structured questionnaire employing a Likert scale ranging from 1 to 5. Structural Equation Modeling with Partial Least Squares (SEM-PLS 3) was utilized for data analysis. The findings indicate that all relationships between ESG criteria and BSC perspectives are positive and significant, suggesting that incorporating ESG factors into the BSC framework can effectively enhance corporate sustainability performance. This research contributes to the understanding of how ESG integration within traditional performance measurement tools can drive sustainable business practices in the manufacturing sector.

An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective

An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective

Evaluation of the environmental sustainability performance of Eastern European countries with integrated MCDM methods

Especially in recent years, the environmental problems of countries have been increasing due to the acceleration of industrialization, increasing population, continuous increase in the consumption and energy requirements of the society and the development of technology. In order to eliminate these problems, countries take many measures and precautions. This study aims to compare Eastern European countries by evaluating their positions in the environmental sustainability performance index (EPI). For this purpose, the importance levels of the criteria were found with ENTROPY, which is in the objective category of multi-criteria decision making (MCDM) methods, and then the ranking of the countries in the environmental sustainability performance index was determined with Complex Proportional Assessmnet (COPRAS) and Weighted Aggregated Sum Product Assessment (WASPAS) methods. The data used in the evaluation of the environmental sustainability performance index “The 2022 Environmental Performance Index (EPI)” ranking of Eastern European countries is the data prepared by Yale University and obtained from the relevant web address. According to the results obtained, the ranking of the criteria in terms of their importance levels were ranked as water resources, waste management and agriculture, and the rankings obtained according to COPRAS and WASPAS methods differed in the environmental sustainability performance ranking of the countries, and it was determined that the WASPAS method gave more consistent results.

ESG Risks and Financial Performance. Analysis of Romanian-Listed Companies

Abstract The term “sustainability” is often used interchangeably with the acronym ESG (Environmental, Social, Governance). This happens as investors trust ESG scores to provide an accurate measurement of a company's sustainability performance. The traditional approach for evaluating sustainability performance involves analysing the scores for a given company, for each of the 3 ESG pillars: Environmental, Social and Corporate Governance. Moreover, most studies show that these scores are positively correlated with financial performance. While this approach is rather straightforward, usually it is not exhaustive and fails to capture the risks behind a company's exposure to material ESG issues and its management. Therefore, this study proposes an approach based on material ESG risk, exposure and management scores. Particularly, this paper focuses on the sector-wide analysis of ESG risk scores and their correlation with financial performance, for Romanian-listed companies, using the most recent data from one of the largest ESG rating provider. The methods employed are data analysis & visualization and correlation analysis. The results reveal, on average, a year-on-year decrease of the ESG Risk Score for the selected companies, along with increased exposure to material ESG risks, yet better management of these risks. Interestingly, the results do not show a significant correlation between the selected ESG variables and financial performance, measured by ROE, ROA and Tobin's Q, though a significant positive correlation between the Exposure and Management scores and firm size, measured by Market Cap, is found. Although there are limitations to this paper, for example, related to sample size or timeframe, it provides valuable insights on both the sustainability performance of Romanian-listed companies and, more broadly, its relationship with financial performance from a regional perspective.

Comprehensive literature review on stakeholder prospects, responsibilities, and quality performance measurement in sustainable supply chain governance

The sustainable Governance of supply chains has become essential for businesses trying to balance economic success and ecological and ethical imperatives in an era of increased environmental awareness and social responsibility. Many stakeholders are pressuring companies to integrate sustainability into their supply chains as environmental degradation and social inequality worsen. Therefore, it is essential to include non-traditional supply chain stakeholders, such as competitors and non-governmental organizations, in supply chain operations to produce an SSCG. This comprehensive literature review synthesizes and examines the current body of information on stakeholder prospects, responsibilities, and measuring quality performance in sustainable supply chain governance. Therefore, this study's primary objective is to clearly show how SSC practices are related to stakeholder roles and responsibilities. A thorough literature examination was conducted, and 40 peer-reviewed journal publications from 2019 to 2023 were included. In this work, expectations, as stated in scholarly literature, are methodically categorized, and any gaps are reviewed critically. A reasonable explanation for stakeholders' discontent with the sustainability performance measurement and evaluation methods used nowadays is that, as the literature review demonstrates, stakeholder expectations have yet to be considered. The findings indicate that many external and internal supply chain stakeholders drive, enable, or check the application of sustainable supply chain Governance techniques.While governments and non-governmental organizations are essential drivers of sustainable supply chain Governance techniques, research can also help with their implementation. Furthermore, proactive interaction with external supply chain stakeholders improves organizational learning by boosting understanding and awareness of sustainability and developing knowledge.

Evaluation of sustainable manufacturing performance – A case illustration with multistakeholder perspective

Increasing awareness on achieving the targets of sustainable development goals led to the various discussions on sustainability in manufacturing applications. Sustainable manufacturing has been considered as one of the key factors for achieving sustainable consumption and production. Considering the advantages, sustainable manufacturing has been discussed with various perspectives in order to improve the sustainable manufacturing performances. This study considers one of the perspectives where other studies are limited within the context of sustainable manufacturing performances, multi-stakeholder perspectives. The sustainable manufacturing performances has been collected and evaluated with multi criteria decision making methodology, best worst method. The three multi stakeholder perspectives have been considered for this study which includes manufacturer perspective, customer perspective and government perspective. The collected sustainable manufacturing performances were evaluated based on these different multi-stakeholder perspectives, in order to understand the similarities and differences among multiple stakeholders in the implementation of sustainable manufacturing through its performances. The detailed discussion of obtained results was explored and acknowledged with existing literature support along with the response from case industrial managers. The similarities and differences of opinion among different stakeholders has been explored to provide fruitful contributions to both academic and scientific community. The key managerial implication of this study is that assisting the industrial managers to focus on influential sustainable manufacturing performances instead of focussing less influential ones based on the opinions of different stakeholders.

Sustainability performance evaluation in the organic durum wheat production: evidence from Italy

Sustainability performance evaluation in the organic durum wheat production: evidence from Italy

Screening of sustainable supply chain performance evaluation indicators based on the ill-conditioned index cycle method.

The establishment of an evaluation indicator system that can accurately assess the sustainability of a supply chain while further enhancing its performance is vital and relevant. Based on the connotation of sustainable supply chains and triple bottom line theory, indicators are initially proposed from economic, environmental, and social dimensions. To increase the explanatory power of the indicator system and decrease information redundancy, the coefficient of variation is applied to identify the indicators with weak interpretation intensity, the ill-conditioned index cycle method is utilized to filter out indicators with redundant information, and data on 100 Chinese listed companies from 2019 to 2021 are used as samples. A performance evaluation indicator system of sustainable supply chains with 16 indicators is ultimately established. The information interpretation strength index and cumulative information contribution rate verify the rationality of the final indicator system. The outcome demonstrates that this screening method can strengthen the representativeness of the indicator system and rapidly reduce redundancy, leading to the better discrimination of the evaluation results. The findings of this study provide an indicator system and a methodological reference for both companies and policymakers and can aid in the transformation of supply chains toward sustainability.

Measuring sustainability performance with SWARA-MEREC-COBRA multi-criteria model: A case study of Anadolu insurance company

The aim of this study is to assess and rank Anadolu Sigorta Company's sustainability performance between 2018 and 2022 using the hybrid SWARA-MEREC-COBRA model. The sustainability performance evaluation criteria's importance weights were determined using both subjective and objective methods. The SWARA algorithm was used to determine the weights subjectively based on expert opinion, while the MEREC algorithm was used to determine them objectively. The final importance weights were obtained by combining the results of both methods. When evaluating the sustainability performance of Anadolu Sigorta Company, the most important criterion was total paper consumption, while the criterion with the least impact was the number of female employees. The COBRA ranking algorithm was used to rank the alternatives, and it was determined that the company's best sustainability performance was in 2022, while the worst was in 2018. Different sensitivity analyses were used to test the consistency of the proposed model.

Spatial neighborhood sustainability assessment for urban planning, Cuenca, Ecuador

The accelerated processes of urbanization produce an explosive occupation of the land, creating scattered cities, with great demands for infrastructure and high consumption of raw materials and energy, affecting natural territories and increasing the emission of pollutants. The city of Cuenca-Ecuador as well as several Latin American cities are not strangers to this problem, as it reflects a dispersed growth towards the peripheries that have caused an expansion of the urban landscape. The above situation requires sustainable planning, which contributes to decision-making to identify what measures are needed to regulate the growth of the city. Accordingly, the present research proposes combining the set of indicators of the Neighborhood Sustainability Assessment tool with the spatial analysis of GIS, so that the sustainability assessment can be extended at the city level to support urban planning in Cuenca. For this purpose, a 3-step methodology was proposed: selection of sustainable indicators, evaluation of sustainable performance, and design of a model that integrates SIG+NSA, which allowed incorporating spatial analysis in the sustainable assessment of neighborhoods, by designing a model adapted to Cuenca. This model consists of 15 variables, 12 indicators, and 4 evaluation categories, which result in the sustainable performance level of 149 planning sectors. The developed model makes it possible to automate the analysis processes and generate a complement to the ArcGIS geoprocessing tools for evaluating urban sustainability, as a support tool for planners and decision-makers in city planning processes.

Evaluation of the Corporate Sustainability Performance of Manufacturing Companies in the BIST Sustainability Index with Multi-Criteria Decision Making Methods

This study aims to evaluate the corporate sustainability performance of manufacturing companies listed in the Borsa Istanbul (BIST) Sustainability Index using multi-criteria decision-making (MCDM) methods. For this purpose, by examining the literature, 11 criteria, including economic, social, and environmental, were determined and the criteria were weighted with method based on the removal effects of criteria (MEREC), one of the objective MCDM methods. According to the weights obtained through the MEREC method, the most important criteria were "return on equity", "operating profitability", and "asset profitability", while the least important criteria were "employee turnover rate", "training hours per employee" and "proportion of female employees". Subsequently, using the weights derived from the MEREC method, the companies were ranked using the CoCoSo (Combined Compromise Solution) method. According to the rankings, the companies demonstrating the highest corporate sustainability performance are Türk Traktor, Ford, Tofaş, and Otokar, while the companies with the lowest corporate sustainability performance are Kerevitaş, Coca-Cola, Petkim, and Tüpraş, respectively. Sensitivity analysis is carried out to test the consistency of the results obtained. Although these results contribute to the literature, in subsequent studies, MEREC and CoCoSo methods can be used to measure different performance criteria of companies. The fact remains that corporate sustainability performances of companies can be measured by using combinations of different MCDM methods.

Research on the Evaluation of Sustainable Development Performance of Mining enterprises Based on ESG

In recent years, stakeholders have increasingly emphasized enterprise’s environmental, social, and corporate governance (ESG) performance. As one of the industries in urgent need of green transformation, the coal mining industry faces difficulties on the topic of sustainable development that should not be underestimated. In this regard, this paper integrates the concept of ESG into the sustainable development performance evaluation of enterprises and utilizes the entropy weight-TOPSIS model to evaluate the performance of S-mining enterprises, to help them identify the deficiencies and better achieve the goal of sustainable development.