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This phenomenological study aims to analyze the factors perceived by women to be important to their nomination and selection for board positions in Peruvian public companies. The importance of this study lies in understanding the qualities that are important for women to possess, as perceived by those women who have reached leadership positions, achieving empowerment and economic autonomy.

The study population consisted of 33 women who became company directors in 2019, according to the data of the Lima Stock Exchange. From this group, the authors conducted 12 in-depth interviews with those women who accepted to participate in this study. The information was analyzed based on the stages suggested by Moustakas (1994).

This study proposes a conceptual framework with 13 factors perceived by women during their nomination and selection for board positions in Latin American public companies, focusing on the case of Peru. The factors are training and learning, professional experience, self-awareness, attitude, resilience, networking, communication skills, empathy, “hard work,” capacity to make important decisions, soft skills, support networks and allies and passion for their work.

Based on the experiences of the participants, this study identified 13 critical factors for women to achieve leadership positions as board members. From a phenomenological approach, the relevance of said factors is that they have emerged from the point of view of women who live in a patriarchal and collectivistic culture with a high gender gap index.

The purpose of this paper is to improve disaster management models, have an optimal distribution of assets, reduce human suffering in a crisis and find a good solution for warehouse locations, distribution points, inventory levels and costs, considering the uncertainty of a wide range of variables, to serve as a support model for decision making in real situations.

A model is developed based on the recent models. It includes structured and non-structured data (historical knowledge) from a humanitarian perspective. This model considers the uncertainty in a landslide and flood area and it is applied in a representative Peruvian city.

The proposed model can be used to determine humanitarian aid supply and its distribution with uncertainty, regarding the affected population and its resilience. This model presents a different point of view from the efficiency of the logistics perspective, to identify the level of trust between all the stakeholders (public, private and academic). The finding provides a new insight in disaster management to cover the gap between applied research and human behavior in crisis.

In this study the access of reliable information is limited.

This paper provides an operation model with uncertainty in a humanitarian crisis and a decision-making tool with some recommendation for further public policies.

This study presents a model for decision makers in a low-income zone and highlights the importance of preparedness in the humanitarian system. This paper expands the discussion of how the mathematical models and human behaviors interact with different perspectives in a humanitarian crisis.