Fast and robust estimators of variance components in the nested error model

Usual fitting methods for the nested error linear regression model are known to be very sensitive to the effect of even a single outlier. Robust approaches for the unbalanced nested error model with proved robustness and efficiency properties, such as M-estimators, are typically obtained through iterative algorithms. These algorithms are often computationally intensive and require robust estimates of the same parameters to start the algorithms, but so far no robust starting values have been proposed for this model. This paper proposes computationally fast robust estimators for the variance components under an unbalanced nested error model, based on a simple robustification of the fitting-of-constants method or Henderson method III. These estimators can be used as starting values for other iterative methods. Our simulations show that they are highly robust to various types of contamination of different magnitude.     

Estimation of Some Nonlinear Panel Data Models With Both Time-Varying and Time-Invariant Explanatory Variables

The so-called “fixed effects” approach to the estimation of panel data models suffers from the limitation that it is not possible to estimate the coefficients on explanatory variables that are time-invariant. This is in contrast to a “random effects” approach, which achieves this by making much stronger assumptions on the relationship between the explanatory variables and the individual-specific effect. In a linear model, it is possible to obtain the best of both worlds by making random effects-type assumptions on the time-invariant explanatory variables while maintaining the flexibility of a fixed effects approach when it comes to the time-varying covariates. This article attempts to do the same for some popular nonlinear models.     

Geopolitics and religion – a mutual and conflictual relationship. Spatial regulation of creed in the Baltic Sea Region

The geopolitical history of religion in the Baltic Sea area shows a development from the time of the Lutheran Reformation of a mosaic of states with very different jurisdictions of creed, from the tolerance under local containment of the Polish-Lithuanian Commonwealth to the strict Evangelical mono-religion of the Scandinavian countries. With seventeenth-century mercantilism, groups of skilled people of ‘foreign’ religion were invited to newly founded towns and ironworks in order to promote the economy. In the eighteenth-century enlightened absolute monarchs, defying both church and bourgeoisie, allowed groups of Catholics and Jews to Scandinavia under spatial restrictions on settlement. In Russia non-Russians of different religions were tolerated, while dissidents to the Orthodox Church were deported to peripheral places. With the Prussian territorial expansion in Germany, more groups were included into citizenship, including Jews. The last states to include groups of ‘foreign’ creed were the early nineteenth century semi-independent states of Norway and Finland.     

Lean practices and their effect on performance: a literature review

This paper introduces a literature review of 83 studies dealing with the degree of adoption of lean manufacturing practices around the world, and the links between those practices and organisation performance. The results of this study revealed that lean practices application still occurs in a fragmented way, disregarding the systemic linkage that is essential to lean manufacturing. Forty-one articles have suggested a positive effect of lean practices in at least one operational, financial and/or environmental performance metric. Nevertheless, five studies indicated that some lean practices had a negative effect on operational or financial performance. High demand variability, a perceived result of long-term lean manufacturing implementation, a country/company’s organisational culture and the difficulty of traditional costing production systems to measure and compare investments and economic gains from adopting lean manufacturing over time are some of the reasons to explain that negative effect of lean practice on performance.     

From Entrepreneurial Orientation and Learning Orientation to Business Performance: Analysing the Mediating Role of Organizational Learning and the Moderating Effects of Organizational Size

Following the organizational learning theory and the knowledge‐based view approach, this contribution aims to study the influence of entrepreneurial orientation and learning orientation on organizational learning, considering the latter as a mediating variable in the relationships between both antecedent cultural values and business performance. We also analyse the moderating role of organizational size on these previous relationships. The hypotheses proposed in our research model are tested on a sample of 140 Spanish industrial companies, applying variance‐based structural equation modelling: partial least squares. In order to assess the moderating effects of organizational size, we adopt a multi‐group approach using two subsamples with large firms and small and medium‐sized enterprises (SMEs). Our findings indicate that organizational learning partially mediates the relationship between entrepreneurial orientation and performance and fully mediates the link between learning orientation and performance. Likewise, the results reveal that the relationship established between entrepreneurial orientation and organizational learning is more intense for the group of large firms than for the group of SMEs. Moreover, the influence of learning orientation on organizational learning is greater in SMEs than in large firms.     

Family firms and high technology Mergers & Acquisitions

We examine whether family firms undertake value creating high technology M&A. We also examine whether level of ownership, diversification, agency issues and CEO type matter. Our sample consists of high-technology M&A undertaken by Canadian firms over the period 1997–2006. Canada offers a setting with many family firms and the use of control enhancing mechanisms such as dual class shares and pyramid structures. We find a positive relationship between family ownership and announcement period abnormal returns. This relationship, however, starts to decrease at higher levels of ownership but remains overall positive. We also show that the agency conflict between shareholders and professional managers has a detrimental impact on announcement period abnormal returns whereas the conflict between controlling and minority shareholders via control enhancing mechanisms does not. Finally, we document that founder CEO undertake better high tech M&A than descendant or hired CEO.     

A model-driven DSS architecture for delivery management in collaborative supply chains with lack of homogeneity in products

Uniform product deliveries are required in the ceramic, horticulture and leather sectors because customers require product homogeneity to use, present or consume them together. Some industries cannot prevent the lack of homogeneity in products in their manufacturing processes; hence, they cannot avoid non-uniform finished products arriving at their warehouses and, consequently, fragmentation of their stocks. Therefore, final uniform product amounts do not match planned production ones, which frequently makes serving previous committed orders with homogeneous quantities impossible. This paper proposes a model-driven decision support system (DSS) to help the person in charge of delivery management to reallocate the available real inventory to orders to satisfy homogenous customer requirements in a collaborative supply chain (SC). The DSS has been validated in a ceramic tile collaborative SC.