A worldwide assessment of scientific production in economics (1992-1997)

The aim of this article is to analyse the worldwide production in economics. To that end, bibliometric indicators are constructed by way of a database made-up of 55 international journals, covering the period 1992–1997. A ranking of the leading thousand international affiliations is established and quality indices of the first 200 are presented. Finally, a detailed analysis is carried out at country level and with respect to the 12 leading countries.     

Planning a Master’s Level Curriculum According to Career Space Recommendations Using Concept Mapping Techniques

Nowadays the European Universities are worried about how to adapt higher education to the new European Higher Education Area, as proposed in the Bologna Magna Charta Universitatum of 1998, and signed by 32 European Education Ministers. One of the key points in this higher education reform was the introduction of new Master’s level curricula. These Masters will look for the professional specialization and they will have to be adapted to the specific skills demanded by the society. This paper presents the results from a cooperation project – funded by the AECI (International Cooperation Spanish Agency) and developed between the University of Seville (Spain) and the Catholic University of Asuncion (Paraguay) – by about the planning of a new master’s level curriculum in digital signal processing (DSP) area, taking into account the Bologna principles and the conclusions obtained by the Career Space Consortium. A scientific method from social science, known as concept mapping techniques, was used to perform this planning. Basically, the idea of concept mapping consists of compiling the opinion from actors belonging to different environments (lecturers, researchers, workers, businessmen, etc.) related to DSP applications. The compiled data were statistically computed to cluster the opinions of the different agents. The result will be a master’s level curricula adapted to the environment requirements and the social settings.     

Noise and aggregation of information in large markets

We study the relation between noise (liquidity traders, endowment shocks) and the aggregation of information in financial markets with large number of agents. We show that as long as noise increases with the number of agents, the limiting equilibrium is well-defined and leads to non-trivial information acquisition, even when per-capita noise tends to zero. In such equilibrium risk sharing and price revelation play different roles than in the standard limiting economy in which per-capita noise is finite. We apply our model to study information sales by a monopolist, and information acquisition in multi-asset markets, showing that it leads to qualitatively different results with respect to those in the existing literature. Our conditions on noise are shown to be necessary and sufficient to have limiting economies with perfectly competitive behavior consistent with endogenous information acquisition.     

Compative robustness of six tests in repeated measures designs with specified departures from sphericity

In this article we examine the behaviour of six univariate statistics for analyzing the data of a Split-plot factorial design. Except for the univariate analysis of variance, which assumes that the dispersion matrix underlying the data is spherical, the other five procedures assume absence of sphericity. However, they do so with a clear distinction between two alternatives, insofar as three of them presuppose an arbitrary correlation between the data and two presuppose serial autocorrelation. These six approaches were compared with regard to their robustness under multivariate normality in the absence of sphericity, both when there was serial autocorrelation and when there was underlying arbitrary correlation. In general, Monte Carlo comparisons show that when underlying the data there is a autoregressive stationary or decreasing structured non-stationary autoregressive process, the Hearne, Clark and Hatch procedure is the most robust. In the rest of the conditions studied, i.e., increasing structured non-stationarity autoregressive and arbitrary non-stationarity (autoregressive and with arbitrary correlation), the Greenhouse-Geisser and Lecoutre statistics display the best behaviour.     

On the Confidence Interval for the Binomial Parameter

The use of confidence intervals (CIs) is strongly recommended in the 5th edition of the Publication Manual of the American Psychological Association. The CI for the binomial parameter π is customarily obtained using Wald method, which uses the normal approximation to the binomial distribution and the estimated standard error. Wald CI has been shown to be unsatisfactory and alternative CIs have been proposed, but this literature appears to have gone unnoticed to psychologists. Only one of these alternatives is dual with the conventional Score test for π, thus meeting the requirements stated in the Publication Manual. Three examples illustrate the appropriate choice of a CI for π in the context of growing concern with good statistical practices.     

Organizational commitment in MNC subsidiary top managers: antecedents and consequences

This article studies, first, how affective and continuance commitments affect MNC subsidiary top managers' intent to leave either their current post or the firm itself, and second, which variables influence these managers' affective and continuance commitments. The analysis uses a sample of MNC subsidiary top managers in Spain, and the results confirm that these managers' intent to leave the subsidiary and the multinational is determined by affective and continuance commitments in its two dimensions (high-sacrifice and low-alternatives), and that these commitments, in turn, are determined by the managers' personal cultural values and company bonding variables.     

Technological innovation versus non-technological innovation: different conditions in different regional contexts?

This study identifies the conditions that, at a regional level, facilitate the emergence of technological and non-technological innovation. One of the most promising lines in the discussion of the processes of regional innovation lies in explaining the different conditions of the various forms innovation process can take. We use fsQCA methodology to test the model. QCA is a method based on set theory that assumes the influence of certain elements in a specific outcome that depend on the combination of those elements; not just on the levels of the individual elements, as in traditional methods. First, we found that the absence of a single condition appears limiting for both types of innovation, which calls for customized innovation policies tailored to the regional context. Second, we found that some sets of innovation characteristics are sufficient conditions for regions to innovate. Among the selected sets, we found that the combination of firm collaboration and public and private R&D are sufficient for both types of innovation, which should be informative for regional policy. The fsQCA also identified alternative pathways—different for both types of innovation. Collaboration seems to be relevant since it is present in all the configurations for sufficient conditions.     

Encouraging organizational performance through the influence of technological distinctive competencies on components of corporate entrepreneurship

Firms’ technological distinctive competencies (TDCs) help CEOs to confront their reality based on technological knowledge to achieve and exploit competitive advantage by encouraging the different dimensions of corporate entrepreneurship (innovation, new business venturing, proactiveness and self-renewal). The main purpose of this paper is thus to highlight how companies that strive to improve technological competencies within the firm achieve higher organizational performance through different components of corporate entrepreneurship and their interrelationships. This study seeks to fill this research gap by analyzing theoretically and empirically how TDCs enhance innovation, new business venturing and proactiveness and their interrelationships to achieve self-renewal and thus improve firms’ organizational performance. The methodology used is LISREL analysis. We test the model with data from 201 Spanish organizations. Our research contributes theoretical and empirical arguments on the value of TDCs to the organization, arguments that are especially important because organizations sometimes fail to achieve sustainable competitive advantage due to their limited understanding of the relationships between these strategic variables.     

High-performance work system and intention to leave: a mediation model

To address recent calls in the literature for additional work on the role of high-performance work systems (HPWS) in determining individual outcomes, this study examines the relationship between employees' perceptions of HPWS and intention to leave, as well as the possible mediating role of job satisfaction, procedural justice and intrinsic motivation in this relationship. The model is tested with EQS 6.1, on a sample of 155 engineers from 19 different companies and industries. Results indicate that HPWS is associated positively with job satisfaction, procedural justice and intrinsic motivation. Results also show that only job satisfaction mediates the relationship between HPWS and engineers' intention to leave, whereas procedural justice and intrinsic motivation mediate the relationship between HPWS and job satisfaction.     

Audit quality and the going-concern decision-making process: Spanish evidence

In this study, we attempt empirically to investigate the relationship between audit quality and the probability that a financially distressed company would receive a going-concern opinion. Auditor decision-making in the presence of going-concern uncertainties may be characterized as a two-stage process. The first stage is the identification of a potential going-concern problem and the second stage is to determine whether the particular company should receive a qualified going-concern opinion. A sample of 1,199 non-financial Spanish company-years has been obtained from the database issued by the Stock Exchange National Commission for the fiscal years ending between December 1991 and December 2000. The results indicate that audit quality (measured by the auditor's level of independence and knowledge) affects the probability that a financially distressed company would receive a going-concern opinion. This probability is influenced not only by the auditor's ability to detect financial uncertainties, but also by the auditor's decision-making as to what type of opinion should be finally issued.