The Creation of Value Through Corporate Reputation

The relationship between social and financial performance (CSP – FP) has been a main objective in the literature on business management, as it would provide an economic justification for the social investment insofar as it contributes to the creation of value. This relationship has been empirically tested by several authors though without using a theoretical model that sustains this relationship. The aim of this article is to propose a theoretical model of the process of the creation of value from the reputation generated by companies, integrating the factors that have been shown to be more relevant in this process from previous research, in such a way that hypotheses are put forward regarding the existence of this relationship and the factors that determine it. Finally, an empirical test is performed using the 100 most prestigious companies operating in Spain during 2004.     

Overcrowding,a disease of social growth

Overcrowding satisfies the physician's criteria for a disease—of society, caused by the lack of a doctrine for the future. This article is a clinical examination of the disease, its symptoms, pathogenesis, diagnosis and treatment.     

Gender Differences in Recruitment Outcomes

The paper tests the hypothesis that female applicants have a lower probability of being hired from a pool of applicants than their male counterparts. The results indicate that male and female candidates have about the same probability of being hired independently of the type of vacancy. The probability of hiring a candidate of a certain sex is therefore determined by the gender composition of the pool of applicants who have selected themselves on the basis of job characteristics, hiring standards and the type of sector. This indicates that male and female job-seekers select themselves in such a way that they have equal probabilities of being accepted.     

Harnessing a network of experts for competitive advantage: technology scouting in the ICT industry

In order to identify discontinuous technological change and develop appropriate action, companies are increasingly building technology foresight (TF) practices. This paper explores how, using networks of experts, TF capabilities can be built. On the basis of three case studies and 43 interviews, it is shown that building foresight systems through networks of scouts yields several benefits, including the support for sourcing external technologies. Using insights from the three major telecommunication incumbents in Europe, the paper describes and discusses (1) what can be achieved by technology scouting, (2) how a process can be set up, (3) what is important in the design of a scouting network, and (4) the characteristics that should be aimed for when choosing technology scouts. The paper contributes to the methodological base of corporate foresight, to the technology management literature, and to the understanding of how companies can increase their open‐innovation capabilities by extending the intertwinement with their environment.     

A New Internet Driven Internationalisation Framework

This paper aims to offer a new Internet driven theoretical framework that explains how a successful internationalisation process may be developed and identifies the strategic dimensions that influence the key decisions in an interrelated, performance-associated way. The extant literature is examined in international marketing, international entrepreneurship and Internet marketing and a comprehensive strategic analysis is conducted of a successful individual services business: ING Direct. It is shown how strategic constructs and risk constructs drive the internationalisation process in an interrelated and performance-associated way. In the framework, the firm's target is to take advantage of an opportunity by obtaining a sustainable competitive advantage while attenuating international risk. Entry mode and country selection are strategic decisions interrelated mutually and with other strategic choices and with performance; this is why an analysis with ceteris paribus statements or episodic analysis may lead to the wrong conclusions.     

Kriging methodology for regional economic analysis: Estimating the housing price in Albacete

Because of the socioeconomic importance of the housing subsector in the local, regional, and national economy and its implications for housing policy, this paper attempts to analyze the spatial behavior of the free housing price in the city of Albacete. To achieve this aim, the authors have used the models and estimators imported from geology called kriging. To do this, it is necessary to know the spatial dependence structure of the process, which is shown in the variogram.     

Pricing of a structured product on the SX5E when the uncertainty of returns is modeled as a log-stable process

This work presents the participation factor and the valuation of a first-generation structured product with European call options on the Eurostoxx, when the uncertainty of the yields is modeled through log-stable processes. The basic statistics of the index yields are also exposed, the α-stable parameters are estimated, and the valuation of the of the structured models is compared through the log-stable and log-Gaussian models using inputs from the bond markets; concluding that investors obtain higher yields than those of the bond market through both models, and that the differences of the yields depend on the participation factor and on the value of the index at the time of liquidation.     

Heterogeneous Firm‐Level Effects of Knowledge Exchanges on Product Innovation: Differences between Dynamic and Lagging Product Innovators*

Product innovation is the result of a constant interaction between the in‐house research and development (R&D) department and knowledge exchanges with the firm's environment. Knowledge exchanges come in different forms. They break down into information gathering applied in new product development, research cooperation on particular innovation projects, and managing information outflows allowing the consequent appropriation of the results of product innovation through specific methods. The way firms handle knowledge exchanges affects their performance. This paper looks at three related indicators of performance: (1) research intensity (a measure of innovative input); (2) the share of revenue realized through innovative product sales (a measure of innovative output); and (3) their impact on the growth in total revenue. The bulk of the econometric literature looking into these matters only allows general statistical statements on the behavior of an “average” firm. This paper takes on another view by using the quantile regression method to stress the heterogeneity of innovative firms in their dealing with knowledge exchange and the effect this has on their performance. A first key finding is that research intensity is positively influenced by knowledge externalities, research cooperation, and appropriability, and it is through this that these variables affect innovative revenue and also the growth in total revenue. By using quantile regression these relationships are further refined to screen for differences in behavior between dynamic and lagging innovators. This refinement indicates that, in the case of research intensity, the knowledge externalities gain in importance in the higher quantiles and are insignificant in the lower ones. Next, research cooperation remains important in all quantiles, but a higher significance is observed in the higher quantiles as well. Finally, appropriability is extremely important for the lower quantiles, but it becomes insignificant in the highest. These findings corroborate the assumptions made in the literature on open innovation: knowledge externalities and research collaboration are vital for those opening up their firm for new ideas and who are, at the same time, reluctant to protect their findings through specific appropriation measures. In the case of innovative revenue all variables on knowledge exchange operate through the research intensity irrespective of the quantile, although the impact of research intensity on this type of revenue is higher in the upper quantiles. As for the growth in revenue, the effect of the innovative revenue is, again, higher in the higher quantiles. This suggests that dynamic product innovators have the most efficient R&D process and the strongest growers are so, especially, because they are successful product innovators.