Relationship Between Sustainable Development and Financial Performance: International Empirical Research

The aim of this paper is to clarify the relationship between companies' sustainable behavior and their financial performance (FP), which has been studied for several years without reaching a consensus on the effect and the direction of it. Hypotheses are tested for an unbalanced sample of 1960 multinational non‐financial listed companies from 25 countries and one administrative region for the period between 2002 and 2010. Due to the use of an international database and the differences among countries, it is possible to observe divergence between institutional settings. For this reason, a corporate governance system (Anglo‐Saxon, Germanic, Latin and Asian) is used as characteristic of the macro‐environment. Results obtained via the generalized method of moments estimator allow us to support the existence of a positive bidirectional relationship between corporate social responsibility and FP, evidencing the existence of a synergistic circle. The use of market value indicated that investors are able to identify economic, social and environmental practices generating a positive effect on FP. These relationships differ between corporate governance systems, due to the specific characteristics of each system. Findings are robust for each sustainable sub‐index (society, human rights, environmental and board). Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Creation of models for calculation of coefficients of terrain passability

Quality & Quantity - The content of this article is a paper about a complex mathematical model of terrain passability which respects geographical and meteorological conditions in terrain and...     

Improving an outpatient clinic utilization using decision analysis-based patient scheduling

This study presents a predictive model to be used in scheduling patients in an urban outpatient clinic. The model is based upon actual patient characteristics from a physical therapy clinic within an urban health and wellness center situated in a public university. A number of reported patients' characteristics such as age, education level, distance from the clinic, historical attendance records, etc. were examined to determine if they significantly impacted the patients' missing scheduled appointments (no-shows.) Decision tree analysis was used to develop a model that assessed the likelihood of a patient's no-show, using key patient characteristics and attendance records. Such a model can be used to assist with scheduling patients in an outpatient clinic, while attempting to increase the clinic's overall utilization. Four tree growing criteria were examined to develop the model with the strongest predictive power. Predictive power of each method was assessed by using the entire dataset as well as using split sampling. The results were then compared with those of a Bayesian networks model and a neural networks model. In addition, the trade-off between the selected decision tree model's predictive power versus simplicity of the associated classification rules was examined. We also assessed the impact of various levels of overbooking on the clinic's utilization when using patients' schedules based on the predictive model.     

Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.     

Value-in-context in crowdfunding ecosystems: how context frames value co-creation

The aim of this paper is to analyse the phenomenon of crowdfunding and determine whether it can be considered a service ecosystem, where the context frames innovation through value co-creation. A qualitative, multiple case study approach is used to analyse three platforms and six initiatives in the Spanish arts sector. The findings reveal that crowdfunding can be considered an ecosystem where value-in-context frames seven types of value co-creation, offering a contribution both to ecosystem theory and to the field of co-creation.     

GEM research: achievements and challenges

This article analyzes the content and evolution of research based on the Global Entrepreneurship Monitor (GEM) project. We conducted a rigorous search of articles published in journals within the Thomson Reuters’ Social Sciences Citation Index^® through an exploratory analysis focused on articles using GEM data. The main findings of this study reveal that the institutional approach is the most commonly used conceptual framework. Also, although there are still few academic publications using GEM data, the number of articles is increasing, as are opportunities for future research.     

Is the leadership style important in R&D departments in Spanish industrial companies? An empirical analysis

This paper aims to thoroughly look into the effects of the differences between the diverse leadership styles on innovative outputs (intensive, efficient and eco-efficient) in Spanish industrial companies. A questionnaire for the factories was sent and was received between the months of September 2013 and June 2014. A total of 142 valid questionnaires were received. Several regression models were used in the empirical analysis. The results show that charismatic leadership positively induces an intensive innovative output, at the same time as it improves firms’ eco-efficient innovative output. Likewise, the individualised consideration that characterises transformational leadership makes this leadership style produce positive results on the whole group of innovative outputs considered. At the other end of the leadership spectrum, the transactional style causes negative effects on the relationship between innovative activity and innovative outputs, and more specifically, on the efficient innovative output.