The aim of the present study is to examine the sustainability reports of cooperatives, which may play an important role in achieving the sustainable development goals and help to identify which economic, environmental, and social sustainability indicators cooperatives are currently reporting. For this purpose, a total of 168 sustainability reports were examined for cooperatives that use the Global Reporting Initiative (GRI) G4 reporting, and that are included in the Sustainability Disclosure Database (SDD-GRI). As a result of this study, it was determined that the economic performance indicator disclosure levels of cooperatives that are active in the financial services sector are higher compared with those of cooperatives that are active in other sectors. In addition, it was also observed that the labor practices and decent work sub-category indicator disclosure levels of cooperatives active in the agriculture sector are lower compared to those of cooperatives that are active in the healthcare services and financial services sectors. Another outcome of this study was the finding that the social performance indicator disclosure levels for large-scale cooperatives are greater than those of small- and medium-sized (SME) cooperatives.

When the successful businesses of today are examined, it is seen that the main factor in their success is the value they give to the customers rather than the production power. One of the most important factors in ensuring customer satisfaction and loyalty is customer orientation (CO). In this study, it is aimed to investigate the perceived management and customer support for corporate social responsibility, the identification of the employees with the business and the customers and its effect on CO. Another aim of the study is to obtain a model that classifies employee–customer identification (ECI)-CO levels for employees by using artificial intelligence methods not used in previous studies. The research data were obtained from salesperson working in shopping malls in Istanbul. Hypothesis testing with structural equation modelling (SEM) has shown that perceived management and customer support for corporate social responsibility have an impact on employee identification with the business and customers. It has been observed that ECI affects CO, while organizational identification has no significant effect on CO. The structural equation modelling and artificial intelligence findings have empirically demonstrated that high accuracy practical classification models can be obtained and used to detect and solve different marketing problems.