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Item type:Publication, Overview of the Impact of Project Portfolio Management on Firms Performance(RELX Group (Netherlands), 2020-01-01)The objective of this paper is to explore and analyze previous research about the relationship between project portfolio management success and business performance. In order to analyze this relationship, a systematic literature review was performed on scientific databases related to the area of management using inclusion and exclusion criteria defined according to the objective of this literature review. The study found 940 articles and after a comprehensive review 66 were selected. From these articles, we can observe that the relationship of portfolio management and firm performance, although several researchers from different perspectives have covered it, still presents many fields of research. Most of the previous research is based on case studies in medium sized enterprises stating the need for quantitative research that allows to generalize results and also research of the impact of project portfolio management in SMEs. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance(Emerald, 2020-09-04)Purpose This paper aims to focus on the effects of human capital composition, innovation portfolio and size on manufacturing firms’ performance. Moreover, it seeks to empirically identify the levels of education that are significant in labour productivity. Design/methodology/approach The resource-based view (RBV) theory is applied using data gathered from the National Innovation Survey in the Manufacturing Industries of Peru. Using the ordinary least squares method on a sample of 584 Peruvian manufacturing firms, the effects on firm performance of two subsamples according to innovation portfolio and firm size are determined. Findings The direct effects of human capital composition on productivity show that the higher the workers’ educational level, the higher the productivity. However, if this relationship is analysed in terms of the innovation portfolio, the authors find that labour productivity in companies with product–service innovation is greater (i.e. more significant) than in traditional manufacturing firms with only product innovations. Similarly, if this relationship is compared in terms of company, the authors find that large companies are more significant than small and medium-sized enterprises. Practical implications The study furthers the understanding of how the relationship between human capital composition, innovation portfolio and size of manufacturing firms positively affects labour productivity. Hence, it can help managers to craft their innovation portfolio according to the educational level of their human capital. This could require that not only human resource management innovates, but also that strategic partnerships be developed with educational establishments to boost training towards product–service innovation. Originality/value This study’s results provide confirmation that the configuration of human resources, innovation portfolio and size plays a significant role on manufacturing firms’ performance, particularly in the context of developing countries. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Better efficiency on non-performing loans debt recovery and portfolio valuation using machine learning techniques(Springer, 2022-01-01)The following research is based on a portfolio of non-performing loans (NPLs), which was previously acquired and managed by a collection agency, the company under study is one of the owners of the portfolio. The study compares the efficiency and performance of several machine learning algorithms to develop and implement a forecasting tool to estimate the recovery rate of NPL portfolios. These models help to enhance and support the debt collection operation, allowing to forecast the number of debtors that will be recovered in the lifetime of the portfolio, as well as to efficiently manage resources (recovery task force) by reducing costs and expenses. The application aims to support the valuation process at the time of portfolio purchase. The study shows that the application using a binary ranking approach based on the XGBoost model outperforms other techniques, offering good results. It is also evident that product type was one of the most influential variables among the different models. The model using this algorithm could serve as a decision support tool, precisely in the operation of purchasing a portfolio of unprofitable debts, as it allows the quantification of the client’s debt to be recovered by identifying the group of potential debtors with the highest probability of compliance, which would result in a faster and more efficient debt collection process. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gobierno corporativo en el sector bancario de una economía emergente(Pontificia Universidad Católica del Perú, 2022-11-04)La presente investigación tiene como finalidad medir la relación que tiene la aplicación de las buenas prácticas de gobierno corporativo en relación con el valor económico de los bancos listados en una bolsa emergente como la Bolsa de Valores de Lima, dada la creciente relevancia del gobierno corporativo, y ante la escasez de evidencia empírica sobre bancos en mercados emergentes. La metodología abordada emplea un modelo que evalúa la Q de Tobin, los ratios de apalancamiento, calidad de cartera, eficiencia y retorno sobre activos (ROA) y la variable dicotómica respecto a la incorporación al Índice de Buen Gobierno Corporativo de la bolsa de valores de lima, considerando una temporalidad del 2011 al 2016.