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Corporate social responsibility (CSR) has become crucial to businesses seeking to adopt sustainable development. However, there are several challenges to CSR adoption for sustainability that the present research aims to identify and evaluate, in addition to assessing the EU's response to these challenges. To this end, a novel picture fuzzy SWARA‐TOPSIS method is proposed to rank EU countries after identifying the challenges that they face through a literature review. The results indicate that out of eight identified challenges, "Leadership Mindset and Corporate Commitment" is the most significant issue to CSR adoption for sustainability. Additionally, Italy shows the best performance in adopting CSR for sustainability, while Malta shows the worst. These results are discussed, and policy implications are presented. Integr Environ Assess Manag 2023;19:1254–1275. © 2023 SETAC Key Points: Challenges to corporate social responsibility (CSR) adoption for sustainability have been identified in European countries, including economic and financial priorities, sustainable production, top and middle management support, leadership mindset and corporate commitment, awareness and knowledge, and transparency.Countries such as Italy, Spain, Greece, and France had a high‐performance rate while dealing with CSR implementation and decision‐making challenges, and set the best example for other countries to gain advantages through CSR and sustainability for organizations, society, and the environment.CSR adoption takes a lot of effort and training, changes the everyday work–life perception, and has a lot of additional costs; nonetheless, it has become a crucial part of building the brand image and gaining customer loyalty, and therefore results in more significant market share and higher stock.The proposed method could be applied to other ranking problems related to sustainability and CSR, and could be used under different fuzzy environments, such as Fermatean fuzzy sets and Pythagorean fuzzy sets. [ABSTRACT FROM AUTHOR]

Performance measurement plays an important role in the successful design and reform of regional healthcare management systems. In this study, we propose a hybrid data envelopment analysis (DEA) and game theory model for measuring the performance and productivity in the healthcare centers. The input and output variables associated with the efficiency of the healthcare centers are identified by reviewing the relevant literature, and then used in conjunction with the internal organizational data. The selected indicators and collected data are then weighted and prioritized with the help of experts in the field. A case study is presented to demonstrate the applicability and efficacy of the proposed model. The results reveal useful information and insights on the efficiency levels of the regional healthcare centers in the case study. [ABSTRACT FROM AUTHOR]

Environmental pollution, increased energy consumption, and growing demand for the energy sector have been widely discussed. Due to policymakers and different organizations impacting a lot of new regulations, tools have been implemented to use clean energy that has zero impact on the environment. The International Energy Agency (IEA) supports energy efficiency and evaluation by developing tracking indicators and analyzing energy consumption data. The paper identifies critical indicators for efficient green energy production and ranks the IEA member countries using the CRITIC-TOPSIS method. Results showed that CO2 emissions and monitoring energy consumption are the most significant indicators while assessing the countries' performance regarding green energy production. The results indicated Sweden as the best-performing country regarding green energy production and reaching energy efficiency between 1990 and 2020. While Turkey and the USA ranked last, resulting in significantly increased CO2 emissions within the time range that need more efforts and policy implications to reach similar energy efficiency levels as other IEA countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)