Distinctive Features of Environmental Innovators: An Econometric Analysis

This paper analyzes the main determinants influencing environmental innovators (i.e. firms developing or adopting environmental innovations) in Spain with respect to non‐environmental innovators. Similarly to other contributions in the literature, our results show that Spanish environmental innovators respond to regulatory stimulus in the form of demand‐pull and technology‐push instruments. They have a high internal technological capability and combine internal and external information sources, mostly in cooperation with knowledge institutions. Environmental innovators are more concentrated in mature, traditionally highly polluting sectors, but new firms are not more environmentally innovative than incumbents. Most importantly, in contrast to other environmental innovation studies, mostly carried out in a German context, we have not found evidence of a market pull from either the domestic or international markets. Furthermore, cost savings are not found to be a distinctive driver for environmental innovators. These differential results are possibly related to the special features of Spain regarding its national innovation system and the degree of stringency of environmental regulation and environmental consciousness of its consumers. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Has the CSR engagement of electrical companies had an effect on their performance? A closer look at the environment

Even though electrical companies attain a top ranking in the publication of CSR reports, they are often accused of 'green‐washing' due to their bad environmental reputation. The current economic crisis is testing their real CSR commitment more than ever, especially when this goes beyond its economic consequences. Based on a worldwide sample of electrical companies, we are going to study why companies are being socially responsible. We wish to know if it is due to the impact on the firms' performance or whether there are other motives (legitimation, improving their reputation) that lead companies to carry out these practices. We will also consider if it changes across the kind of CSR action considered. The results show that there is an economic justification beyond the socially responsible behaviour of the electrical companies. Additionally, most kinds of CSR action (community, diversity, corporate governance, product responsibility) are also carried out looking for economic rewards. However, the CSR actions oriented to the environment are mainly motivated by their need to improve their image and reverse their negative impact. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.     

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...     

A Fuzzy clustering approach to the key sectors of the Spanish economy

The search for key sectors in an economy has been and still is one of the more recurrent themes in input–output analysis. When using clustering techniques, sectors can only belong to a group, having a particular performance. But, actually, the same sector could be important from different perspectives at the same time, to a different degree. So, a fuzzy clustering approach is needed. In this work we propose a multidimensional approach to classify the productive sectors of the Spanish input–output table for 1995, based on three groups of variables: those related to their productive integration, others measuring their specific weight in the economy and finally some showing their economic dynamic. We also incorporate into the analysis the technological level, which being a categorical variable presents special methodological problems. All these questions are tackled applying a robust and fuzzy clustering analysis, which gives as a result a classification of sectors illustrating the role that each one plays in the Spanish economy.     

Mixed methods studies in entrepreneurship research: Applications and contributions

Mixed methods research is becoming an increasingly popular approach in several fields. However, its application in the field of entrepreneurship has not been studied. The authors reviewed the use of mixed methods research in three entrepreneurship journals and two leading generalistic journals that publish entrepreneurship research, examining the main purposes and designs. A total of 955 articles were reviewed and 81 mixed methods studies were identified. The analysis of these articles revealed opportunities associated with the application of this approach. Mixed methods may help to improve entrepreneurship research addressing challenges emphasized in earlier studies. Suggestions on why and how to use mixed methods research are offered, and recommendations are provided to guide future mixed methods studies to advance our understanding of the entrepreneurial phenomenon.     

Assessing ethical behaviours in the Spanish banking and insurance industries: evidence and challenges

This study aims to improve understanding of the ethical nature of the relations in two labour-intensive industries to facilitate the creation of an ethical culture. For this purpose, the authors first review literature related to the main influences on ethical behaviour, then perform an empirical analysis of those factors using a hierarchical stepwise regression of a database of 525 banking and insurance employees. Contrary to expectations, leadership has a less important effect on ethical behaviour than other organizational factors. The results reveal several implications for improving the management of ethical behaviour in these industries.     

Do ethnicity and occupational status interact to influence anxiety? An investigation of anxiety among Hispanic emergency responders

Although anxiety is a universal emotion, some of the most severe job-related levels of anxiety are among emergency responder occupations, jeopardizing their well being and positive job performance. The literature suggests that certain ethnic groups report higher levels of anxiety than other ethnic groups. Using Lazarus and Folkman's transactional model of stress, this study examines whether ethnicity predicts differing anxiety levels across occupations. We sampled emergency and non-emergency responders in the state of Texas in the USA. The strongest positive relationship between occupational status and anxiety was observed for Hispanics compared with non-Hispanics. However, the findings reveal no significant effect between Hispanic ethnicity and anxiety. Our findings show that ethnicity may explain the differences in experienced anxiety across occupations. Implications for theory and practice are discussed.     

Institutions and human resource practices in European countries

Abstract

Stemming from differences between approaches to new institutionalism, this paper analyses the impact of institutions on the adoption of human resource practices (HRP) in organizations. With this aim in mind, two opposing hypotheses are presented: should configurations of national institutions be related to the actual implementation of HRP by organizations or not? This empirical analysis uses a sample of 29,959 employees who work in organizations established in 27 European countries and takes into account the employees’ perception about the HRP used in their organizations and which affect them. The results support the approach to new institutionalism that emphasizes legitimacy and isomorphism, since these results show empirical regularities when countries are compared. Specifically, a country’s configurations of regulative, normative and cognitive institutions are related to the actual implementation of HRP, such as internal promotion, job participation, job design, work-life balance, job training, assessment and teamwork. These results suggest relevant practical implications for human resource managers and policy-makers.     

Influence of technological support,skills and competencies,and learning on corporate entrepreneurship in European technology firms

In the today′s changing environment, firms are hardly competing with each other to achieve a competitive advantage that can differentiate them from others and improve their organizational performance. In this sense, it is crucial to develop corporate entrepreneurship and promote strategic variables that foster it.The aim of this paper is to highlight the importance of different technological variables (top management support to technology, technological skills and technological distinctive competencies) and organizational learning on corporate entrepreneurship, and thus analyze the influence of corporate entrepreneurship on organizational performance in the context of technology firms.A sample of 160 European technology firms was selected from the database Amadeus in 2009 with CEOs as our main informants. The hypotheses studied are empirically confirmed by using a hierarchical regression model.