Optimum allocation in multivariate stratified random sampling: stochastic matrix mathematical programming

The allocation problem for multivariate stratified random sampling as a problem of stochastic matrix integer mathematical programming is considered, minimizing the estimated covariance matrix of estimated means subject to fixed cost or fixed total sample size. With these aims the asymptotic normality of sample covariance matrices for each strata is established. Some alternative approaches are suggested for its solution. An example is solved by applying the proposed techniques.     

Management and employee involvement in achieving an environmental action-based competitive advantage: an empirical study

The objective of this work is to conduct an empirical study that shows whether certain management and human resource factors influence the achievement of an environmental action-based competitive advantage in a company. To this end, we have taken a sample of 110 factories. Management's deep involvement and its strategic integration, as well as employee motivation and participation, have a positive impact on the achievement of an environmental action-based competitive advantage in a company.     

The diffusion of exporting in Brazilian industrial clusters

The present research aimed at understanding the process by which firms in a cluster start to export based on systemic interactions, and the process of diffusion of exporting as a business strategy within the cluster. Diffusion was defined, following Rogers’ (1995: 5) seminal work, as ‘the process by which an innovation is communicated through certain channels over time among the members of a social system’. The research method used was industry case studies and the unit of analysis selected was the cluster. Two manufacturing industries were chosen to be investigated, and within each geographic area clusters were identified as the origin of dynamic export growth in the industry. Players in each industrial cluster, as well as other significant actors, were interviewed. Extensive secondary data research was done to study clusters’ historical development. Detailed analysis and a comparison of the experiences permitted the extraction of some general conclusions concerning the similarities and differences between the clusters in terms of the adoption and diffusion of exporting. Results showed that the diffusion of exporting in an industrial cluster is quite similar to the dissemination of technical innovation. Social ties were important to facilitate the diffusion of exporting in one of the clusters studied. Also, the role of domestically-owned flagship firms in leading the internationalization process proved to be important in only one of the clusters, while the role of external actors was fully supported in the two industries studied. Finally, a number of support institutions, private and public, interfered in different stages of the internationalization process. In both industries, the federal government had only a late and limited impact on export initiation and development.     

Institutions and human resource practices in European countries

Abstract

Stemming from differences between approaches to new institutionalism, this paper analyses the impact of institutions on the adoption of human resource practices (HRP) in organizations. With this aim in mind, two opposing hypotheses are presented: should configurations of national institutions be related to the actual implementation of HRP by organizations or not? This empirical analysis uses a sample of 29,959 employees who work in organizations established in 27 European countries and takes into account the employees’ perception about the HRP used in their organizations and which affect them. The results support the approach to new institutionalism that emphasizes legitimacy and isomorphism, since these results show empirical regularities when countries are compared. Specifically, a country’s configurations of regulative, normative and cognitive institutions are related to the actual implementation of HRP, such as internal promotion, job participation, job design, work-life balance, job training, assessment and teamwork. These results suggest relevant practical implications for human resource managers and policy-makers.     

Multi-level driving forces of biological invasions

Biological invasions are human-induced processes affecting biodiversity. Information on biological invasions can be organized following the categories of the DPSIR model. This paper examines the state of the art in the application of this model to the study and management of biological invasions.The paper focuses on driving forces and pressures, clarifying the different levels at which drivers operate and promote invasion processes. Identifying driving forces is necessary not only to understand the processes behind biological invasions but also to generate policy initiatives that address threats to biodiversity at different levels of governance. Thus driving forces and pressures on biological invasions are identified taking into account the multi-level character of such processes. The final section reviews the role that different stakeholders play in biological invasion management and finally elaborates a list of indicators derived from the analysis that can be used in decision making concerning invasion processes.     

Which Firms are More Sensitive to Public Disclosure Schemes for Pollution Control? Evidence from Indonesia’s PROPER Program

This paper analyzes differences in firms’ responsiveness to PROPER, Indonesia’s public disclosure program for industrial pollution control. The overall effectiveness of this program at achieving emissions reductions and its low regulatory costs have earned it a good reputation around the world. PROPER had no deterrents or incentives other than those that arose indirectly from publicly disclosing information about the environmental performances of firms. We analyzed plant-level data to relate short- and longer-term environmental responses to facility characteristics. The results revealed that foreign-owned firms were consistently more likely to respond to the environmental rating scheme, compared to private domestic firms. This is a clear and important insight with consequences for a number of issues, such as understanding the pollution haven debate. Also, firms located in densely populated regions, particularly in Java, responded more positively to the public disclosure of PROPER ratings. The main observed effect was however given by the initial level of environmental performance of firms. Those firms that had bad environmental performance records felt pressure to improve, but if the initial abatement steps had already been taken, the incentives to improve further appeared to diminish.     

Returns from social capital in open source software networks

Open Source Software projects base their operation on a collaborative structure for knowledge exchange in the form of provision or reception of information, expertise and feedback on the creation of source code. Here, we address the direction of these knowledge flows among projects throughout social networks and their impact on project success. We identify the roles of membership or contribution that individuals play within projects. We found that connections through contributors who bring their knowledge to the project, improve project success, and that connection through members, who transfer their knowledge towards other projects, enhance project success. Finally, we found that ties through shared membership and contributions hamper project success. The analysis of knowledge flows and their impact on project success imply a translation of returns from investment in social capital, where investment takes the shape of knowledge flows and the returns mean the projects’ diffusion over the network.

Dynamic multidimensional assessment of sustainability at the macro level: The case of Austria

This paper explores the issue of sustainability at the macro scale employing multi-criteria decision aid (MCDA) methods. The incommensurability of values and the essentially multi-dimensional and dynamic nature of sustainability challenge the use of composite measurement indices. This determined the choice of MCDA methods. Austria was chosen as a case study, due to the wide availability of data, especially on indicators of strong sustainability. The structure of the multi-criteria problem comprised the evolution of different sustainability dimensions over time. The process for selecting criteria included a critical assessment of institutional sustainability agendas (UN, EU and Austrian Government) and theoretical recommendations.After an assessment of MCDA methods, the NAIADE method demonstrated the most suitable properties for sustainability assessment. The application of this outranking approach was undertaken in three separate settings: long-term from 1960 to 2003, medium-term, 1970-1995, and short-term, 1995-2003 with varying numbers of criteria. The response of results to the addition of evaluating criteria and periods was tested. The degree of credibility for accepting preference relations was also employed for sensitivity analysis.According to the results of long-term and medium-term assessments, especially in the weak sustainability setting, sustainable progress is taking place in Austria. In the short term, in the stronger sustainability setting and, especially as the number of criteria increases, more incomparable periods appear and trends are less determined. Moreover, it is shown how results crucially depend on the methodological choices.This is one of the first applications of the multi-criteria tools to the dynamic analysis of sustainability at the macro scale.     

CAPM and APT-like models with risk measures

The paper deals with optimal portfolio choice problems when risk levels are given by coherent risk measures, expectation bounded risk measures or general deviations. Both static and dynamic pricing models may be involved. Unbounded problems are characterized by new notions such as (strong) compatibility between prices and risks. Surprisingly, the lack of bounded optimal risk and/or return levels arises for important pricing models (Black and Scholes) and risk measures (VaR, CVaR, absolute deviation, etc.). Bounded problems present a Market Price of Risk and generate a pair of benchmarks. From these benchmarks we introduce APT and CAPM-like analyses, in the sense that the level of correlation between every available security and some economic factors explains the security expected return. The risk level non correlated with these factors has no influence on any return, despite the fact that we are dealing with risk functions beyond the standard deviation.