Staying Close to the Core: Lessons from Studying the Costs of Unrelated Alliances in Spanish Banking

This article analyses whether alliances create shareholders value, and if this value differs depending on the similarity of the partners' businesses, or on the similarity of the partners' businesses with that of the alliance. Using data from 467 equity and non-equity based strategic alliances from 1996-1999 involving at least one listed Spanish bank, we find that, overall, alliances create shareholder value, but that the returns to shareholders are significantly higher when alliance activity is closer to the core business of the banks, than when alliances involve unrelated activities. Although there is no evidence that unrelated strategic alliances destroy value on average, the results obtained show that banks need to assess the benefits and costs of diversification strategies carefully, as their likelihood of success is initially smaller.     

Multivariate extension of modified Sarhan-Balakrishnan bivariate distribution

Recently Kundu and Gupta [2010, Modified Sarhan-Balakrishnan singular bivariate distribution, Journal of Statistical Planning and Inference, 140, 526-538] introduced the modified Sarhan-Balakrishnan bivariate distribution and established its several properties. In this paper we provide a multivariate extension of the modified Sarhan-Balakrishnan bivariate distribution. It is a distribution with a singular part. Different ageing and dependence properties of the proposed multivariate distribution have been established. The moment generating function, the product moments can be obtained in terms of infinite series. The multivariate hazard rate has been obtained. We provide the EM algorithm to compute the maximum likelihood estimators and an illustrative example is performed to see the effectiveness of the proposed method.     

Influence Diagnostics in log-Birnbaum-Saunders Regression Models

In this paper we present various diagnostic methods for a linear regression model under a logarithmic Birnbaum-Saunders distribution for the errors, which may be applied for accelerated life testing or to compare the median lives of several populations. Some influence methods, such as the local influence, total local influence of an individual and generalized leverage are derived, analysed and discussed. We also present a connection between the local influence and generalized leverage methods. A discussion of the computation of the likelihood displacement as well as the normal curvature in the local influence method are presented. Finally, an example with real data is given for illustration.     

A Study of Industry Evolution in the Face of Major Environmental Disturbances: Group and Firm Strategic Behaviour of Spanish Banks, 1983–1997*

This paper examines the story of the evolution of a specific industry through the application of dynamic strategic group analysis. In particular, we analyse the relationship between major environmental disturbances and changes that have occurred over time in the competitive structure of the industry regarding two closely related central questions. First, the way in which these environmental transformations have influenced group patterns and stability, and second, the way in which such environmental disturbances has affected the strategic positioning of individual firms. We resort to alternative theoretical perspectives in an attempt to answer both questions. The empirical setting is the population of Spanish banks over the period 1983–1997. We make use of a new grouping algorithm – the Model‐based Clustering or MCLUST – which may be enormously fruitful in future empirical works on strategic groups. This method allows researchers to obtain the optimal number of groupings over time in a much more objective way than the cluster techniques used until now. Compared to previous dynamic studies that only consider the largest firms, our research illustrates how a richer analysis of an industry dynamics can be obtained by using a dynamic analysis of strategic groups. Our results show that while there have been no industry‐wide identical groupings year to year, there is an important strategic stability at group and firm‐level punctuated by a high degree of strategic instability at times of major environmental disturbances.     

Conquering the minds, conquering Iraq: The social production of misinformation in the United States - a case study

In the lead-up to the Iraq War, the Bush administration rallied the American public for war via claims that they held unassailable evidence that Iraq possessed weapons of mass destruction and through the insinuation that links existed between Iraq and al Qaeda, and Iraq and the 11 September 2001 attacks. Despite the introduction of compelling evidence that these claims were false, more than 18 months after the official end of the war half of the American population continued to believe that either weapons of mass destruction had been found or that Iraq possessed a developed program for creating them. The prevalence of these misperceptions suggests important questions: How and why could such a significant percentage of the population remain so misinformed? What was the social process leading to the widespread adoption of misinformation? And what were the political effects of these misperceptions? This article proposes an analytical model that outlines both the production of these misperceptions and their political ramifications. It argues that the misperceptions about the Iraq war were socially produced via a complex interaction between a variety of factors including: the general climate of fear in America in the post-9/11 era, Bush administration agenda-setting strategies, and brokering between the political and communication establishments.     

Local labour markets delineation: an approach based on evolutionary algorithms and classification methods

In this paper a methodology for the delineation of local labour markets (LLMs) using evolutionary algorithms is proposed. This procedure, based on that in Flórez-Revuelta et al. [13 F. Flórez-Revuelta, J.M. Casado-Díaz, and L. Martínez-Bernabeu, An evolutionary approach to the delineation of functional areas base on travel-to-work flows, Int. J. Autom. Comput. 5(1) (2008), pp. 10–21. doi: 10.1007/s11633-008-0010-6[Crossref] , [Google Scholar],14 F. Flórez-Revuelta, J.M. Casado-Díaz, L. Martínez-Bernabeu, and R. Gómez-Hernández, A memetic algorithm for the delineation of local labour markets, in Parallel Problem Solving from Nature X, Vol. 5199, Lecture Notes in Computer Science, G. Rudolph, T.H. Jansen, S.M. Lucas, C. Poloni, and N. Beume, eds., Springer, Berlin, 2008, pp. 1011–1020. [Google Scholar]], introduces three modifications. First, initial groups of municipalities with a minimum size requirement are built using the travel time between them. Second, a not fully random initiation algorithm is proposed. And third, as a final stage of the procedure, a contiguity step is implemented. These modifications significantly decrease the computational times of the algorithm (up to a 99%) without any deterioration of the quality of the solutions. The optimization algorithm may give a set of potential solutions with very similar values with respect to the objective function what would lead to different partitions, both in terms of number of markets and their composition. In order to capture their common aspects an algorithm based on a cluster partitioning of k-means type is presented. This stage of the procedure also provides a ranking of LLMs foci useful for planners and administrations in decision-making processes on issues related to labour activities. Finally, to evaluate the performance of the algorithm a toy example with artificial data is analysed. The full methodology is illustrated through a real commuting data set of the region of Aragón (Spain).     

A psychosocial study on crime and gender: Position,role and status of women in a sample of Spanish criminal organizations / Un estudio psicosocial sobre la delincuencia y género. Posición,rol y estatus de la mujer en una muestra española de organizaciones criminales

The purpose of this study was to determine the socio-demographic characteristics of a sample of females (N = 200) who have belonged to organized crime groups (N = 67) that have operated in Spain between 1999 and 2010, along with what their roles and status have been. The information has been mined from police records provided by the Central Operational Unit of the Guardia Civil. The results enable us to conclude that most of the females are adults, and that many of them have family or partner ties to the organizations. Furthermore, they are actively involved in these criminal groups, mainly performing jobs that do not require the use of violence, and they are especially needed for internal security. In terms of status, the majority seem to be at the lowest level of the organizational structure, although we have managed to identify some women who have played leadership roles in criminal organizations.