The management of firms’ alliance network positioning: Implications for innovation

In spite of the frequent calls for a much more integrated approach, the field of management still faces the ever continuing challenges in attempting to bridge the gap between academic research and managerial actions and practices. The field of strategic alliances and firms’ networks are those among which research and practice are more diverging. Trying to cover this separation, the article presents an empirical research on automotive industry that investigates the effects on innovation performance of the position that firms occupy in the network of alliances. The hypothesis that guides this research is that innovation is generated not only from the resources that a company is able to develop internally, but also through access to resources and capabilities owned by the external companies and organizations that the firm itself is tied to through alliances and cooperation agreements. Beyond this broad argument, the paper links tightly research and practice showing way and how the quality of access to resources owned by partners is influenced by the position occupied in the network of alliances and not only by the existence of single collaborative ties. Assuming a managerial approach which relies on the milestones of network research, different types of positioning in the network of alliances are discussed and tested on their impact on innovation.     

Inhabitants' and Experts' Assessments of Environmental Quality for Urban Sustainability

In the context of sustainable urban development, we discuss the assessment of residential environmental quality and the importance of considering inhabitants' perceptions of natural resources in urban areas. Two series of studies, conducted in Guildford (United Kingdom) and in Rome (Italy), addressed the correspondence, or contrast, between inhabitants' and experts' assessment of urban quality concerning two crucial natural resources: air quality and biodiversity. The Guildford study emphasized the accuracy of the assessment of urban air quality by experts and the public. The Rome study focused on the evaluative criteria employed by scientists and the public in assessing the quality of urban green spaces. The results from both studies shed more, albeit complex, light on the simple conventional wisdom about public versus expert understanding and assessment of environmental quality. Study implications are discussed for the support of programs, methods, and tools for urban development, particularly with regard to effective communication and better structuring of residents' participation in urban environmental decision making.     

Tests for cointegration rank and choice of the alternative

This paper discusses likelihood-ratio (LR) tests on the cointegrating (CI) rank which consider any possible dimension of the CI rank under the alternative. The trace test and lambda-max test are obtained as special cases. Limit quantiles for all the tests in the class are derived. It is found that any of these tests can be used to construct an estimator of the CI rank, with no differences in asymptotic properties when the alternative is fixed. The properties of the class of tests are investigated by local asymptotic analysis, a simulation study and an empirical illustration. It is found that all the tests in the class have comparable power, which deteriorates substantially as the number of random walks increases. Tests constructed for a specific class of alternatives present minor power gains for alternatives in the class, and require the alternative to be far from the null. No test in this class is found to be asymptotically (in-)admissible. Some of the new tests in the class can also be arranged to give a constrained estimator of the CI rank, that restricts the minimum number of common trends. The power gains that these tests can obtain by constraining the minimum number of common trends appears to be limited and outweighted by the risk of inconsistency induced by the constrains. As a consequence, no value of the CI rank should be left untested, unless it can be excluded beyond any reasonable doubt.     

Two Strong Families in Southern Europe? Re-Examining the Geography of Kinship Regimes Stemming from the Reciprocity Mechanisms Between Generations

David Reher??s hypothesis of a specific pattern of ??strong family?? characterizing the south of Europe is currently widely shared. Is a further specification possible, one that applies uniquely to the Mediterranean family? The supporting evidence from a large corpus of in-depth interviews of young people aged 30?C34 and living in the north and south of Italy seems to confirm the existence of a dual identity for the strong family, located in two distinct belts within southern Europe divided along a north?Csouth gradient. Pointers to the historical and anthropological roots of this cleavage between the two southern family patterns are sought in two major texts, Ibn Kaldun??s Mouqaddima and Mauss?? ??Essay on the Gift.??     

Minimum Divergence,Generalized Empirical Likelihoods,and Higher Order Expansions

This article studies the minimum divergence (MD) class of estimators for econometric models specified through moment restrictions. We show that MD estimators can be obtained as solutions to a tractable lower dimensional optimization problem. This problem is similar to the one solved by the generalized empirical likelihood estimators of Newey and Smith (2004 Newey , W. K. , Smith , R. J. ( 2004 ). Higher order properties of GMM and Generalized Empirical Likelihood estimators . Econometrica 72 : 219 – 255 .[Crossref], [Web of Science ®] , [Google Scholar]), but it is equivalent to it only for a subclass of divergences. The MD framework provides a coherent testing theory: tests for overidentification and parametric restrictions in this framework can be interpreted as semiparametric versions of Pearson-type goodness of fit tests. The higher order properties of MD estimators are also studied and it is shown that MD estimators that have the same higher order bias as the empirical likelihood (EL) estimator also share the same higher order mean square error and are all higher order efficient. We identify members of the MD class that are not only higher order efficient, but also, unlike the EL estimator, well behaved when the moment restrictions are misspecified.     

Gambling,geographical variations and deprivation: findings from the adult psychiatric morbidity survey

Gambling problems are prevalent in the UK, especially in the most deprived boroughs of the country. Individual-level characteristics may exist alongside a social and geographical gradient. The study aimed to establish whether living in specific geographic areas increases problem gambling likelihood. It used data from the 2007 Adult Psychiatric Morbidity Survey. It adopted a twofold categorization distinguishing recreational from problem/pathological gambling. It used the 2004 Overall Index of Multiple Deprivation to measure deprivation of the district of residence, and primary sampling units, based on postcode sectors, to take into account area characteristics in multi-level mixed-effects regression models. The determinants of recreational gambling operated solely at the individual level. These included male sex, stable relationship and employment, though a number of clinical variables were also important: impulsivity, hazardous use or dependency on alcohol, and current smoking. In contrast, an appreciable proportion of the variance in problem/pathological gambling was explained by area-level clustering. Unlike recreational gamblers, problem/pathological gamblers appear to cluster in specific areas. Thus, there are grounds for restricting the location and density of gambling opportunities and for providing selective prevention programmes targeting geographic areas characterized by contextual determinants.     

A Systems View of Companies’ Communication in Online Social Environments

In order to enrich previous contributions interested in the identification of possible pathways to improve companies’ capabilities to better face the challenges imposed by increasing social and economic variety, this paper focuses attention on the role of companies’ communications in online social environments. Thanks to the adoption of systems thinking, the paper enlarges existing contributions on companies’ online communication by combining the research streams of signalling theory, capital need theory, and legitimacy theory. By building on a multi-disciplinary literature review, this paper identifies three variables to analyse the effectiveness of companies’ communication based on the use of social networks: the frequency, the instability, and the previous activities. Empirical research is proposed with reference to a sample composed by the 50 best performing European companies in terms of return on sales (ROS) (USD) in 2015 via the use of structural equation modelling (SEM). SEM is applied to explore the relationships among identified variables in companies’ online communication on Facebook and Instagram, and how those communications influence companies’ economic performance in terms of ROS.