Learning Atmosphere and Ethical Behavior,Does It Make Sense?

In the wake of corporate ethical scandals that have harmed millions of employees and investors, there has been an increase in the number of works written in the last decade, which aim to answer one apparently simple question: what causes unethical behavior, and what can we do, if anything, to prevent similar transgressions in the future? The extensive research around this question is the best proof of its real complexity as the challenge of disentangling the background of ethical behavior has obvious academic and practical interest. This study aims to take a further step toward that goal. Much research has noted the impact of multiple aspects of organizational contexts on individuals’ ethical behavior. However, studies that analyze the impact of organizational learning capability (OLC) on employees’ ethical behavior are few and far between. This was the first aim of this study. The second centered on gaining a deeper understanding of the relationship between OLC and ethical behavior by analyzing the mediating role of employability and organizational commitment. We tested our hypotheses through a structural equation methodology applied to a sample of 641 workers from 166 Spanish consultancy firms and found a positive, direct relationship between OLC and employability, OLC and organizational commitment, employability and organizational commitment, and organizational commitment and ethical behavior.     

The International Monetary System

This paper outlines the main features of the present international monetary system and the challenges that policy makers face.     

Complete subset regressions

This paper proposes a new method for combining forecasts based on complete subset regressions. For a given set of potential predictor variables we combine forecasts from all possible linear regression models that keep the number of predictors fixed. We explore how the choice of model complexity, as measured by the number of included predictor variables, can be used to trade off the bias and variance of the forecast errors, generating a setup akin to the efficient frontier known from modern portfolio theory. In an application to predictability of stock returns, we find that combinations of subset regressions can produce more accurate forecasts than conventional approaches based on equal-weighted forecasts (which fail to account for the dimensionality of the underlying models), combinations of univariate forecasts, or forecasts generated by methods such as bagging, ridge regression or Bayesian Model Averaging.     

An index of education and child health in the Horn of Africa

Synthetic indicators are intended to provide an overview of the situation of individuals in a community in relation to a concept to be studied such as quality of life. This study aims to propose a territorial measure and classification of education and child health for countries of the Horn of Africa based on the criteria set out in the United Nations Declaration of the Millennium Development Goals. We construct a synthetic indicator from a multidimensional approach taking into account a large number of variables defined in the Millennium Declaration. For this purpose, we use the Pena distance method for the year 2010, which is the latest year for which data is available. We believe that the situation of the countries in the Horn of Africa differ with respect to the Millennium Development Goal indicators for education and child health. The most striking differences relate to basic quality of life variables.     

The moderating effect of environmental uncertainty on the relationship between real options and technological innovation in high-tech firms

In the past decade, management scholars have applied aspects of real options theory to organizational settings, considering it an approach to enhancing strategic flexibility in the firm. They have also recognized that technological innovation is a critical mechanism through which high-tech firms try to secure a place in the competitive world of the future. Uncertainty about the environment makes it very important to analyze both factors, since the use of real options obligates managers to reflect constantly on future scenarios for which they will have to propose innovative solutions. This paper attempts to apply the theory of real options to innovation theory to propose a model in which real options reasoning improves the level of product/process technological innovation. We argue that this improvement will increase when the environment's level of uncertainty is higher. The proposal is supported empirically by a study performed on a sample of technology firms from different countries in the European Union.     

Proposing new variables for the identification of strategic groups in franchising

The identification of strategic groups in the Spanish franchising area is the main aim of this study. The authors have added some new strategic variables (not used before) to the study and have classified franchisors between sectors and distribution strategy. The results reveal the existence of four perfectly differentiated strategic groups (types of franchisors). One of the major implications of this study is that the variables that build a strategic group vary depending on the respective sector the network operates in and its distribution strategy. This fact indicates that including sector and distribution strategy is absolutely necessary to achieve good classifications of franchisor types.     

Factors Related to the Academic Performance of Students in the Statistics Course in Psychology

Many studies have examined the factors that influence academic performance in primary and secondary education as well as at university, with the purpose of enhancing learning at these stages and reducing drop-out rates. It is within this research framework that we want to emphasise the deficient performance of students enrolled on the statistics course in the Faculty of Psychology at the University of Barcelona. Consequently, this paper attempts to determine the factors that affect student performance in this subject by undertaking an analysis of a structural equation model and determining its stability over time. In order to accomplish our objective, we worked with two samples of students enrolled statistics classes. The first group comprised 211 students enrolled in the academic year 2000–2001, while the second comprised 287 students enrolled in the academic year 2001–2002. By administering a questionnaire, we obtained information concerning such variables as demographic data, previous academic record, information related to the subject and the degree of satisfaction with it, and the final mark obtained by the students in the subject. The parameters for each group of students were estimated separately and the goodness of fit of the proposed structural model was assessed. The data analysis showed a good fit with both data bases, but the set of estimated parameters differed in the two academic years under consideration.