Search results

The purpose of this paper is to determine the factors that influence in the capital structure of non‐financial companies listed in the Stock Exchange of Lima.

To achieve this goal, the authors used the panel data model with random effects. The study of the capital structure has focussed on the Trade‐off Theory which states that firms finance their investments for tax benefits, while the Pecking Order Theory states that companies have an order of priority on obtaining funding.

The results obtained confirm that profitability, size, collateral value of assets (CVA) and non‐debt tax shields (NDTS) are the factors that determine the level of long‐term debt of these Peruvian companies.

The results obtained confirm that profitability, size, CVA and NDTS are the factors that determine the level of long‐term debt of these Peruvian companies.

This paper is a first contribution on the determinants of the level of indebtedness of the companies in Peru. There is an extensive literature on the determinants of capital structure, but it is the first work done for the business sector in Peru.

El objetivo de este trabajo es determinar los factores que influyen en la estructura de capital de las empresas no financieras peruanas que listan valores en la Bolsa de Valores de Lima.

Para lograr este objetivo se ha utilizado el modelo de datos de panel con efectos aleatorios. El estudio de la estructura de capital de las empresas se ha enfocado en la teoría del trade‐off que manifiesta que las empresas financian sus inversiones para obtener ventajas fiscales, mientras que la teoría del pecking order manifiesta que las empresas tienen un orden de prioridad al momento de obtener financiamiento.

Los resultados obtenidos confirman que la rentabilidad, el tamaño, el valor colateral de los activos y la protección fiscal diferente a la deuda son los factores que determinan el nivel de endeudamiento a largo plazo de las empresas peruanas.

Este trabajo constituye una primera aportación sobre los determinantes del nivel de endeudamiento de las empresas en el Perú. Existe una extensa literatura sobre los factores determinantes de la estructura de capital, pero es el primer trabajo que se realiza para el sector empresarial peruano.

Peace engineering and compassionate operations can unlock the potential of emerging technologies for social good. This work aims to investigate the integration of peace engineering and compassionate operations by proposing an integrative framework and identifying the main drivers regarding social good, considering the Sustainable Development Goals (SDGs) landscape.

The authors used a two-stage methodology by employing a narrative literature review in the first stage to identify the relationships and drivers and propose an original framework. In the second stage, the authors utilized an expert panel to validate the framework’s drivers.

The authors identified five main categories related to peace engineering and compassionate operations, which were then used to support the categorization of the drivers. In the second stage, the authors validated the drivers with a panel of academicians and experienced industry practitioners.

The proposed framework can provide insightful directions for practitioners and governments to develop strategies and projects in different contexts, including humanitarian logistics, climate change crises, supply chain disruptions, etc.

This work makes unique contributions by reinvigorating an amalgamation of the peace engineering and compassionate operations arenas and their integration with the SDGs to enable enhanced social good, supported by cutting-edge technologies. Thus, this framework’s contributions encompass essential theoretical, managerial, and social implications.