Labour disputes,investment decisions and the judiciary

In this article, we show that the presence of the judiciary in the background of labour relationships is not neutral within these relations: its potential intervention in case of an ex-post layoff and conflict over the severance payment can promote ex-ante efficient specific investment decisions. This ability to promote efficiency depends on the judiciary's aptitude to balance out the parties' ex-post bargaining powers. Interestingly one of the results shows that, if workers' bargaining power in wage negotiations is low, which implies that they expect low returns from continuing the relationships, an increase in the exogenous layoff probability should lead judges to be less lenient towards them.     

AHP-based approaches for supplier evaluation: Problems and perspectives

Supplier evaluation has assumed a strategic role in determining competitiveness of large manufacturing companies. An increasing number of researches have been devoted to the development of different kind of methodologies to cope with this problem. Nevertheless, while the number of applications is growing, there is little empirical evidence of the practical usefulness of such tools with a dichotomy between theoretical approaches and empirical applications. Considering this evidence, the goal of this paper is to contribute to understand the above dichotomy by implementing, in a corporate environment, a model for supplier evaluation based on the Analytical Hierarchical Process (AHP), one of the most prominent methodologies used to address the problem. The analysis of the implementation process of the methodology allows the identification of strengths and weaknesses of using formalized supplier selection models to tackle the supplier evaluation problem, also highlighting potential barriers preventing firms to adopt such methods. Relevant issues arising from the application and managerial implications for both customer and suppliers are discussed.     

Induced innovation and land degradation: Results from a bioeconomic model of a village in West Africa

This paper introduces a modeling method which simulates a village's response to population and market pressure. The method combines a recursive and dynamic linear programming model with a biophysical model of soil condition and plant growth that predicts yields and land degradation for different type of land, land use and cropping patterns. The linear programming model simulates farmers' plans aggregated at the village level under constraints of risk aversion, food consumption, land area, soil fertility, soil depth, labor and cash availability. Detailed agroecological factors determine Ihe main processes of land degradation. A large number of technological alternatives, representing different degrees of labor and/or land-saving techniques available in the study areas, are introduced, taking into account their respective constraints, costs and advantages. The method has been calibrated for a village located in the sub-humid region of Burkina Faso. Several simulations are carried out to the Year 2030. The results show that population pressure leads to intensification and investment in land conservation practices out not necessarily to better farm incomes. Increasing market opportunities can play a more positive role in boosting productivity, but for the next decades the best way to increase production per farmer is to let farmers migrate from the high-population-density areas to the low-population-density areas because, under the current economic conditions of most Sahelian countries, intensification per hectare is stil more expensive than the fallow system.     

The use of management control mechanisms by public organizations with a network coordination role: A case study in the port industry

Our paper addresses two gaps in the literature on management control mechanisms in the context of inter-organizational relationships. Firstly, several studies have focused on one-to-one relationships, but few take a network perspective which analyses the deployment of management control mechanisms in the context of networks involving multiple interactions between organizations. Secondly, even fewer studies have specifically tackled the use of these mechanisms in the context of mixed-type networks, where a public organization acts as the network coordinator responsible for key governance activities. This is the position in Ports, which are collectives of several related organizations and in which one organization – the “port authority” – assumes the role of network coordinator. In this paper we report the results of a case study, the aims of which were: to identify the management control mechanisms deployed, or relied upon, by the Portuguese Port Authority in the Port of Aveiro in the exercise of its coordinating role; and to discern – on the basis of theoretical reasoning and empirical evidence – the factors explaining the nature and use of these mechanisms.Several conclusions emerged from the study. A general conclusion was that our prior literature-based theorization is generally consistent with the case observations. That is, in mixed-type networks, the nature and use of management control mechanisms by the public organization acting as a network coordinator seems to be shaped by its assessment of motivations to cooperate and of the contribution to network performance of the various organizations involved in the network. Other more specific conclusions are encapsulated in a “coordination framework”, which relates those assessments to specific features of the management control mechanisms. Crucially, our results provide insights into the roles of public organizations acting as network coordinators in the context of mixed-type networks, and, in general, on the nature of the numerous such public organizations in today's economy and society.     

Tariff equivalents of nontariff measures: the case of European horticultural and fish imports from African countries

In the context of the Partnership Agreements between the European Union (EU) and the African, Caribbean, and Pacific countries, this study estimates ad valorem tariff equivalents of European food safety standards on imports of key horticultural and fish products from Kenya, Tanzania, Uganda, and Zambia. The study uses an extension of the price‐wedge method to account for imperfect substitution and factor endowment in monopolistic competition. The estimated tariff equivalents are 55% and 98% for imports of fresh peas from Zambia to the Netherlands and the U.K., respectively. They range from 39% to 64% for imports of green beans and avocados from Kenya and from 63% to 270% for imports of frozen fish fillets in EU countries from the East African Community. We also observe large variations in tariff equivalents for the horticultural and fish products over time and EU importing countries.     

International portfolio diversification: Currency,industry and country effects revisited

We examine the relative importance of country, industry, world market and currency risk factors for international stock returns. Our approach focuses on testing the mean-variance efficiency of the various factor portfolios. An unconditional analysis does not show significant differences between country, industry and world portfolios, nor any role for currency risk factors. However, when we allow expected returns, volatilities and correlations to vary over time, we find that equity returns are mainly driven by global industry and currency risk factors. We propose a novel test to evaluate the relative benefits of alternative investment strategies and find that including currencies is critical to take full advantage of the diversification benefits afforded by international markets.     

Computer assisted text analysis in the social sciences

We use the term “Computer Assisted Text Analysis” in a broad sense to refer to a range of current techniques from quantitative social science and content analysis to ‘data mining’ and ‘text classification’, including the analysis of open-ended survey questions, transcribed interviews and speeches, wherever, in fact, the researcher is confronted with data in the form of natural language texts of social scientific interest. These methods are often used in exploratory data analysis, but can also be applied systematically with moderate statistical rigour in the development and testing of hypotheses at various theoretical levels, ranging from the statistics of word usage to changes within or between discourses over time. The general approach is in the tradition of content analysis, by which words which occur together in relatively close proximity in the same context are interpreted as relating to a common theme or concept in the discourse studied. We review a comprehensive set of tools to identify and visualize structures of co-occurrence of words and concepts both within, and in comparing, a number of texts. These produce results not essentially different from those reached by representing word co-occurrences in terms of network analysis or neural network programming using schematic linguistic templates of various kinds. A comparison of the relational data analysis vs. a dictionary-based MDS approach shows that these provide very close if not identical results, despite the fact that the underlying assumptions are frequently represented as different theoretical approaches.     

Customer satisfaction and dissatisfaction in retail banking: Exploring the asymmetric impact of attribute performances

The paper presents the results of an extensive study on the determinants of customer satisfaction for a retail bank. In doing so, it uses a revised version of the traditional analyses based on derived measures of attribute importance. The need for a revised methodology is prompted by the insights of the two- and three-factor theories of customer satisfaction, such as Kano's framework. Indeed, the evidence from 5000 customers of a prominent Italian bank confirms a non-linear and asymmetric relationship between attribute performances and overall customer satisfaction. The results from both a traditional and our revised approach are compared. While this approach can be applied across different industries, it should not be assumed that the numerical results presented in the paper apply to contexts with substantially different underlying characteristics. General trends and implications for banking services are reported in the conclusions.