This research presents a short review of Multiple Criteria Decision-Making (MCDM) methods and research in various fields, including marketing and business management. The academic literature shows that MCDM methods in the area of marketing are used by academics to solve problems related to the positioning of products and services, market segmentation, brand management, promotion and advertising strategies, product development and market entry strategies, customer relationship marketing and channel distribution. With regard to business and management domains they are used to prioritize various decision-making aspects, like project assessments, resource allocation, strategic planning, risk management, performance evaluation, supplier and vendor selection, human resource management and strategic investment decisions. We can claim that in both domains, MCDM brings a systematic and transparent approach to decision-making, helping marketing managers to make more informed and objective choices. In summary, the continual refinement of these methods and the integration of cutting-edge technologies hold promise for further enhancing the effectiveness and efficiency of decision-making processes in the dynamic landscape of business and management. Further, the analysis highlights emerging trends and challenges for the future of MCDM research.

The blue economy is important to Indonesia, which derives state revenues from the maritime sector, given its large marine area. The vast marine potential can contribute if managed well. Fish processing companies need to improve their operational performance to be competitive. The study collected data from 90 practitioners from fish processing companies in Indonesia who are members of the Association of Tuna Longline Indonesia. The research data were processed using the SEM-PLS version 4 approach to test the relationships specified in the research hypotheses. The data analysis found that the operational performance of fish processing companies in Indonesia is determined by product innovation and supply chain collaboration. The company's ability to collaborate with partners significantly impacts product innovation. Improvement efforts determined by intellectual capital influence product innovation, especially supply chain collaboration. At the same time, environmental dynamism does not affect product innovation but does significantly affect supply chain collaboration. The practical contribution of this research is that managers can actively involve external partners to solve problems and support product development. Managers need to build real collaboration with external partners in joint planning and optimal order coordination to improve operational performance. The need to strengthen intellectual capital by providing adequate training and standard skills. The theoretical contribution to the development of supply chain uncertainty in optimizing the blue economy.

We establish a robust FLOWSORT-based tool to sort mutual funds with respect to process-oriented social responsibility and recommend the use of limiting profiles with open classes. The tool provides an alternative for the limited dichotomous classification of funds, i.e. socially responsible investing (SRI) versus conventional funds. By allowing for more heterogeneity in social responsibility the sorting tool is promising for scholars to improve fund performance measurements, and useful for governments to better regulate the supply of SRI products.