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.     

Evidence of the impacts of public e-procurement: The Portuguese experience

This paper analyses public e-procurement implementation and emphasizes its main difficulties and impacts in relation to the type of public organizations. The primary impacts and changes in the Portuguese public sector are analyzed within the new legal framework, which adopts mandatory e-procurement for any open, restricted or negotiated procedure. In this sense, two surveys carried out in consecutive years were conducted to assess the implementation difficulties and impact of e-procurement in the Portuguese public sector.The major value of this research is that it presents and discusses, for the first time, evidences about difficulties and impacts on the mandatory adoption of public e-procurement, based on the case of Portugal. The results show that the entities’ administrative level influences the e-procurement implementation, which is influenced by the innovation adoption process.     

Could HRM support organizational innovation?

Nowadays, it has become clear that the capacity of organizations to innovate and manage their human resources can be sources of competitive advantage. Recently, literature also asserts a positive relationship between human resource management and innovation. However, very little empirical research has specifically addressed those relationships. Using structural equations modelling with data collected from 173 Spanish firms, this study analyses them. Our findings show that innovation contributes positively to business performance and that human resource management enhances innovation. Implications for both academics and managers as well as future research lines are discussed.     

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.