A methodology for the implementation and continuous improvement of social responsibility (RS) and financial responsibility

This work sets out an innovative methodology that aims to facilitate the implementation and continuous improvement of Social Responsibility. It is a methodology that takes account of strategic-economic, social and environmental questions and allows measuring the impact of each of these aspects on the stakeholders and on each of the value areas. It can be extrapolated to all kinds of organisations regardless of their size and sector and admits scaleable models. A marked feature that sets it aside from other methodologies is that it eliminates subjectivity from the qualitative aspects and introduces an algorithm to quantify them.

The Territorial Dimension: The Component of Business Strategy that Prevents the Generation of Social Conflicts

Taking advantage of economic opportunities has led to numerous conflicts between society and business in various geographies of the world. Companies have developed social responsibility programs to prevent and manage these types of problems. However, some authors comment that these programs lack a strategic vision. Starting with the Working with People model, created for the field of rural development planning, this paper proposes a methodology to prevent the generation of social conflicts from business strategy: the territorial dimension. The proposal emphasizes that local development support prevents the generation of social conflicts. Finally, an experience in Peru, a country that has been characterized in recent years by high economic growth and also by the presence of social conflicts that have stopped entrepreneurship is analyzed.

Corporate social responsibility in portfolio selection: A "goal games" against nature approach

Nowadays, there is an uprising social pressure on big companies to incorporate into their decision-making process elements of the so-called social responsibility. Among the many implications of this fact, one relevant one is the need to include this new element in classic portfolio selection models. This paper meets this challenge by formulating a model that combines goal programming with "goal games" against nature in a scenario where the social responsibility is defined through the introduction of a battery of sustainability indicators amalgamated into a synthetic index. In this way, we have obtained an efficient model that only implies solving a small number of linear programming problems. The proposed approach has been tested and illustrated by using a case study related to the selection of securities in international markets.