An Index of Child Health in the Least Developed Countries (LDCs) of Africa

In this article we present a new composite index of child health, applied to the Least Developed Countries (LDCs) of Africa, one of the areas of the planet most castigated by poverty. Our index has been constructed attending to the variables defined in the Goals of the Millennium Declaration. For this purpose we will use the P₂ distance method for the year 2008, the last year for which data are available. This index integrates variables of child health that permit a territorial ordering of the LDCs of Africa, in terms of those partial indicators.     

How Far is Campania from the Best-Performing Region in Italy? A Territorial-Divide Analysis of Separate Waste Collection

Social Indicators Research - The aim of this paper is to investigate the divides in separate waste collection (SWC) between Campania and Veneto from a twofold perspective that considers both...     

Effect of regulatory modes on work performance: the moderating role of job familiarity and job complexity / El efecto del modo de regulación en el rendimiento laboral: el rol moderador de la familiaridad con el trabajo y la complejidad de la tarea

Prior research has shown that the combination of assessment and locomotion regulatory modes leads to the best performance-related outcomes. The aim of the current study was to analyse how familiarity and complexity moderate this relationship between the two regulatory modes and job performance. Participants’ locomotion and assessment tendencies were measured, and they were asked to rate the familiarity and complexity of their daily work tasks, as well as their job performance over the last year. Results showed that when job tasks were unfamiliar and more complex, high locomotion and high assessment were both needed for optimal performance. However, when both familiarity and job complexity were low, high locomotion alone led to the best performance. A similar result was obtained when task familiarity was high: regardless of task complexity, the best performance was shown by employees high in locomotion, no matter the assessment. In conclusion, the present study furnishes useful suggestions for employers who wish to maximize employees’ performance.     

Resource Dependence In Non-profit Organizations: Is It Harder To Fundraise If You Diversify Your Revenue Structure?

This article explores how fundraising efficiency is affected by changes in diversification of revenues in non-profit organizations. It uses random effect regression and Arellano–Bond models to study this phenomenon in a sample of 10358 US non-profits during the 1997–2007 period. We find a negative impact on fundraising efficiency when NPOs alter their locus of dependence and change their pattern of diversification. This effect is impacted by organizational size and industry. Previous studies have suggested that income heterogeneity is associated with organizational stability and financial strength. Using a change (versus level) model of funding diversity, our work shows that increased diversification leads to a higher operational inefficiency that could be penalized by potential donors.     

Bivariate distributions with second kind beta conditionals

In this paper the most general bivariate distributions with second kind beta conditionals is fully characterized. This family is closed under inversions and the conditional moments are shown to be rational functions of the conditioned variable. Two subfamilies of dependent distributions is shown to have second kind beta marginals too. Finally, as a particular case, the most general bivariate distribution with second kind Pareto conditionals is characterized.     

The Features of Development in the Pacific Countries of the African,Caribbean and Pacific Group

In this article we present a new proposal for the measurement of development, applied to the Pacific Countries of the African, Caribbean and Pacific Group (ACP), conditional on their insularity, and with privileged relations with the European Union. Our index has been constructed attending to the criteria defined in the Goals of the Millennium Declaration. For this purpose we will use the P₂ distance method for the year 2007, the last year for which data are available. This index integrates socio-economic variables that permit a territorial ordering of the Pacific ACPs, in terms of those partial indicators.     

Adaptive and Generative Learning: Implications from Complexity Theories

One of the most important classical typologies within the organizational learning literature is the distinction between adaptive and generative learning. However, the processes of these types of learning, particularly the latter, have not been widely analyzed and incorporated into the organizational learning process. This paper puts forward a new understanding of adaptive and generative learning within organizations, grounded in some ideas from complexity theories: mainly self‐organization and implicate order. Adaptive learning involves any improvement or development of the explicate order through a process of self‐organization. Self‐organization is a self‐referential process characterized by logical deductive reasoning, concentration, discussion and improvement. Generative learning involves any approach to the implicate order through a process of self‐transcendence. Self‐transcendence is a holo‐organizational process characterized by intuition, attention, dialogue and inquiry. The main implications of the two types of learning for organizational learning are discussed.     

Analysis of the Car Accident Indexes in Spain: A Multiple Time Series Approach

The main objective of this article is to specify and estimate a model for the car accident rates in Spain to improve input for the decision-making process for insurance companies and provide useful information for traffic authorities. The prediction performance of the model is also analyzed in an attempt to verify the improvement in prediction that takes place when more elaborate models are used.