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The purpose of this paper is to present a method for identifying causal relationships in a strategy map.

A strategy map is a visual representation of the strategy of a company, which includes the strategic objectives of a company and the cause-effect relationships between them. Its network structure facilitates its representation as an analytic network process (ANP) model. The proposed method starts with a network with all possible relationships and then it deletes those relationships, which are not important. To do this, it uses the techniques of the ANP approach.

It was found that ANP is a good tool for modelling a strategy map and for identifying the important relationships of a strategy map. A study case of a manufacturing is shown to illustrate how the proposed method can be used in practice.

Normally, the cause-effect relationships between strategic objectives are generated in a subjective way. Even this way of working is widely accepted in practice, some studied have shown that the declared relationships are not necessarily valid. The proposed method provides a quantitative tool to establish the relationships between strategic objectives, which are obtained using a method (ANP) that has a strong conceptual base. This is an indication that the strategy map obtained represents in a better way the strategy of the company.

ANP is a methodology which is used to estimate the priority of nodes with in a network. In this work ANP is used to estimate the priority of the arcs of the network. The results of application in a company represent a good indication that the method may be implemented in other manufacturing companies.

Economic and social inequality in Mexico presents a challenge in the transformative recovery of the country. This chapter aims to identify opportunities and multi-actor actions in the different scenarios of economic growth and sustainable development for Mexico in the coming years. We managed to propose public policy recommendations for the country by building future scenarios along with the participation of representatives from government, business, civil society and academia. A regenerative Mexico by 2030 requires policies that encourage private, domestic and foreign investment; regulatory frameworks for investment in clean technologies; implementation of tax incentives to promote a green economy and cooperative and inclusive models, such as the social and solidarity economy. Inclusive and collaborative multi-actor actions among the country's sectors become the common denominator of future scenarios for Mexico from an optimistic, resilient and hopeful perspective for its population.