This paper evaluates whether university-industry relationships (UIR) and academic research activities have complementary effects on the scientific production of university lecturers. The analysis is based on a case study of two Spanish universities. We find that the effects of R&D contracts with industry, and academic research activity on scientific production are synergistic, but only when the R&D contracts account for a low percentage of a lecturer's total funding. This suggests that the positive effect of UIR on a lecturer's scientific production comes fundamentally from the capacity to provide complementary resources (cognitive, technical, and/or financial) for research activities. If lecturers are not involved in research and dedicate most their time to the development of activities related to UIR, their scientific production will be negatively affected.

It is known that control charts based on equal tail probability limits are ARL biased when the distribution of the plotted statistic is skewed. This is the case for p‐Charts that serve to monitor processes on the basis of the binomial distribution. For the particular case of the standard three‐sigma Shewhart p‐Chart, which is built on the basis of the binomial to normal distribution approximation, this ARL‐biased condition is particularly severe, and it greatly affects its monitoring capability. Surprisingly, in spite of this, the standard p‐Chart is still widely used and taught. Through a literature search, it was identified that several, simple to use, improved alternative p‐Charts had been proposed over the years; however, at first instance, it was not possible to determine which of them was the best. In order to identify the alternative that excelled, an ARL performance comparison was carried out in terms of their ARL bias severity level (ARLBSL) and their In‐Control ARL (ARL0). The results showed that even the best performing alternative charts would often be ARL‐biased or have nonoptimal ARL0. To improve on the existing alternatives, the “Kmod p‐Chart” was developed; it offers easiness of use, superior ARL performance, and a simple and effective method for verifying its ARL‐bias condition.

La Responsabilidad Social Empresarial (RSE) es hoy un tema obligado en las organizaciones. Se empieza a reconocer que las empresas, además de producir bienes y servicios, son también responsables de los riesgos que generan, no sólo para sus trabajadores, sinopor la contaminación al medio ambiente. Ésta investigación se desarrolló con el propósito de definir un marco de integración para los sistemas de gestión en calidad, ambiental y salud ocupacional, tomando la RSE y el modelo de excelencia EFQM como base. Entre los resultados se tiene la generación de un modelo bajo los principios de la RSE y de indicadores con los cuales la gerencia pueda medir la madurez de su RSE. Con ello se propone que muestren su RSE, mediante las buenas acciones que una organización demuestre desde el punto de vista empresarial: no contaminación, respeto y preocupación por sus trabajadores, clientes y Stakeholders. Se proporciona, por tanto, a las organizaciones una justificación válida para incursionar en acciones de RSE, de tal manera que integrando este concepto en su estrategia básica y en su sistema de gestión global, serán más productivas y podrán convertirse en empresas competitivas y socialmente responsables con criterios de excelencia.

Deming's chain reaction is a well-known proposal from Dr. W.E. Deming, in which he explains the positive effect of improving quality in different aspects of an organisation's activities and performance. Recognising and enhancing the value of Deming ideas, in this paper chain reaction is reevaluated and adapted to environments different to those considered by Deming, specifically to those where competition is not the motto for quality improvement. Three economic situations are considered: open competitive markets (as Deming considered); markets with no or very limited competition; and public services or organisations not oriented to profits but to cover social demands. Two additional versions of the chain reaction are proposed based in Deming's original, and finally a comprehensive chain reaction is presented, adequate to any type of economic environment. The paper enhances the strength and power of Deming's ideas, showing its ability to adapt to scenarios different to those originally considered.

El presente artículo estructura indicadores bursátiles de tal forma que puedan ser analizados por medio de un gráfico tradicional de control de procesos Shewhart. Un gráfico muy utilizado en la industria para controlar variables altamente correlacionadas con procesos. Estos gráficos tienen el fin de asignar causas a posibles cambios en el comportamiento normal de los datos. De igual forma, cualquier intento por obtener puntos de vista estadísticos que ayuden a tomar decisiones de inversión con bajo riesgo es bienvenido, ya que un error en la toma de decisiones en el mercado bursátil puedeconllevar a una gran pérdida económica para los inversionistas. En el presente documento se muestran los resultados de lo analizado y se relacionan las recomendaciones para construir un gráfico de control Shewhart X y S con indicadores bursátiles, con el fin de definir sus prestaciones.