On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

The aim of this paper is twofold. Firstly, we introduce a novel semiparametric technique called Genetic Programming to estimate and explain the willingness to pay to maintain environmental conditions of a specific natural park in Spain. To the authors’ knowledge, this is the first time in which Genetic Programming is employed in contingent valuation. Secondly, we investigate the existence of bias due to the functional rigidity of the traditional parametric techniques commonly employed in a contingent valuation problem. We applied standard parametric methods (logit and probit) and compared with results obtained using semiparametric methods (a proportional hazard model and a genetic program). The parametric and semiparametric methods give similar results in terms of the variables finally chosen in the model. Therefore, the results confirm the internal validity of our contingent valuation exercise.     

Loan price modelling for local governments using risk premium analysis

Previous studies have highlighted the question of government loan interest as one of great current importance. Government borrowing levels are high, and reducing interest payments would generate savings to meet other spending needs and/or to lower taxation, thus supporting the sustainability of public finances. However, no previous study has presented a method for a local government to calculate its own credit risk and thus be in a position to negotiate lower interest rates on its borrowing. This article defines a financial model that enables local governments to estimate the interest rate payable on a bank loan, based on their credit risk premium, in accordance with the Basel II rules and the findings of our empirical study of large local governments.     

Predictive Power of Personal Factors in Studying Students' Perception of Sales Profession in Poland

Since Poland has become a member of the European Union, free market activities have increased dramatically. The purpose of this study is to explore university students' perceptions of personal selling as a career in Poland. Using logistic regression and Z-test methodologies, we analyzed the perceptions of 114 students. The results confirm the findings of previous studies that personal factors play a significant role in predicting students' perception of sales profession as a career. The findings presented in this study show that Polish students have a biased perception about sales as a career; however, interestingly, few dimensions show a significant effect. Understanding students' perceptions of the sales profession will help corporate recruiters achieve their goals by selecting those students most likely to excel in sales careers.     

Content analysis research method with Nvivo-6 software in a PhD thesis: an approach to the long-term psychological effects on Chilean ex-prisoners survivors of experiences of torture and imprisonment

The aim of this paper is to review the usefulness of the software CAQDAS QSR—Nvivo-6 in a PhD. Thesis, which consisted of finding the long-term psychological effects of experiences of imprisonment and torture for political reasons in their Chilean survivors. For this research, it was created and administered an in-depth interview to 60 survivors, from which outcome was 9900 paragraphs, coded into 784 categories. The software QSR Nvivo-6 threw a report of frequencies, which were compared quantitatively using Pearson’s χ ² square test and cluster analysis. We conclude that the software facilitates the development of qualitative thematic content analysis, simplifying the coding, analysis and display of data. In Addition, it is very useful when working with large quantities of information, promoting the reliability and validity of studies. However, other aspects are also required to ensure the rigor of a qualitative study.     

New R&D management paradigms: rethinking research and technology organizations strategies in regions

The R&D management paradigms of research and technology organizations (RTOs) have been discussed in the past. Academics have analysed their strategic challenges in view of the new demands posed by new competitive environments for their SME clients. New innovation models proposed recently have captured the attention of policy makers. The objectives of this paper are to analyse these models in the case of a particular model of RTO: the R&D units in the Basque Country in Spain, launched with the aim of improving R&D and technology transfer efficiency. This paper is based on an empirical study of a group of specialized RTOs (R&D units) and its objective is to analyse a new paradigm of RTO and propose a model to identify the critical elements that influence performance and strategic alignment between R&D performers (RTOs) and their partners (in most cases SMEs).     

The Construction of Corporate Social Responsibility in Network Societies: A Communication View

The paper introduces the communication view on Corporate Social Responsibility (CSR), which regards CSR as communicatively constructed in dynamic interaction processes in today’s networked societies. Building on the idea that communication constitutes organizations we discuss the potentially indeterminate, disintegrative, and conflictual character of CSR. We hereby challenge established mainstream views on CSR such as the instrumental view, which regards CSR as an organizational instrument to reach organizational aims such as improved reputation and financial performance, and the political-normative view on CSR, which highlights the societal conditions and role of corporations in creating norms. We argue that both the established views, by not sufficiently acknowledging communication dynamics in networked societies, remain biased in three ways: control-biased, consistency-biased, and consensus-biased. We discuss implications of these biases and propose a future research agenda for the communication view on CSR.     

The management perception of the strategic outsourcing of services: An empirical examination in the hotel sector

This work will analyse the strategy of outsourcing, or the predisposition on the part of a firm to entrust some of its services to a third party. The research will focus on discovering empirically the role that this strategy plays in hotels, and in order to do this we will carry out an analysis of hotel managers' perceptions regarding outsourcing based on the main advantages as well as the drawbacks and barriers which using the strategy can involve, with a view to determining which of these are related to a predisposition to outsource. The results of the research suggest that the main reasons which determine outsourcing are of a strategic rather that cost-reducing nature. Despite the fact that although current outsourcing is conditioned by the cost factor alone, any future increase in the use of the strategy will be determined exclusively by factors of a strategic nature. With respect to the disadvantages of outsourcing which tend to limit the use of the strategy, we will see that these are related to loss of control and autonomy together with a distrust of external suppliers. This work will enable us to assess the extent of the existing demand for outsourcing main services as well as those factors which determine and limit the outsourcing strategy and which have prevented a large number of services where outsourcing would be applicable from being outsourced to the present date. Finally we will present our main conclusions and recommendations.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

Institutional design and governance of airport regulators: The case of Latin America

This paper offers a cross-country assessment of the governance of airport regulators in Latin America. The analysis links the institutional design of airport regulators, whether in the form of independent regulatory agencies or government departments, to their overall governance. It examines four dimensions of regulatory governance: autonomy, transparency, accountability, and bureaucratic quality. Independent regulatory agencies in the Latin American airport sector seem to provide a better framework for transparency and bureaucratic quality than government departments. It is not conclusively found, however, that independent regulatory agencies contribute to a more autonomous decision-making or to an enhanced accountability of regulators to other branches of government and airport users. Overall, governance indicators of airport regulators in Latin America are well below the threshold that defines good governance.     

Economic growth and budgetary components: a panel assessment for the EU

In this article, we test to determine whether a reallocation of government budgetary components can enhance long-term GDP growth in a set of 15 EU countries. We apply panel data techniques to the period 1971–2006, and use three alternative dependent variables in a growth regression: economic growth, total factor productivity and labour productivity. Our results also identify the distortions induced by public expenditure in the private factors allocation. In particular, we detect a strong crowding-in effect associated to public investment, which has enhanced economic growth by boosting private investment. We also associate a dependence of productivity on public expenditure on social security.