The Global Compact: an analysis of the motivations of adoption in the Spanish context

In the 10 years after the launch of the United Nations Global Compact (GC), there have been very few empirical assessments of the initiative in the academic literature. In this study, drawing from institutional theory and the resource-based view of the firm, we examine motivations of business participants to adopt the GC principles in the Spanish context. Using survey data from Spain – the country reporting the highest volume of business participants in the GC – we find that external institutional forces as well as internal organisational resources shape motivations for adopting GC principles. In particular, we find that early and late adopters are motivated similarly by the perceived opportunity of achieving image gains, while late adopters are motivated more by economic gains than early adopters. We further find that regardless of the extent of internal intangible resources possessed, firms are similarly motivated by economic gains. The results also show that companies with more intangible resources are motivated more by image gains than those with fewer resources. Our findings indicate that contrary to its earlier days, economic gains have emerged as an important motivator for the adopters of the GC principles with image gains still being an important motivator.     

The quality of credit ratings: A two-sided market perspective

This paper presents a formal model of a credit rating agency. I study the consequences of the transition from an “investor-pays” model to an “issuer-pays” model on the quality standard of credit ratings chosen by the agency. I find that such a transition is likely to generate a degradation of the quality standard, which may fall below the socially efficient level. Finally, I discuss empirical implications and several reform proposals to the business model of credit rating agencies.     

Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application

To be competitive in contemporary turbulent environments, firms must be capable of processing huge amounts of information, and effectively convert it into actionable knowledge. This is particularly the case in the marketing context, where problems are also usually highly complex, unstructured and ill-defined. In recent years, the development of marketing management support systems has paralleled this evolution in informational problems faced by managers, leading to a growth in the study (and use) of artificial intelligence and soft computing methodologies. Here, we present and implement a novel intelligent system that incorporates fuzzy logic and genetic algorithms to operate in an unsupervised manner. This approach allows the discovery of interesting association rules, which can be linguistically interpreted, in large scale databases (KDD or Knowledge Discovery in Databases.) We then demonstrate its application to a distribution channel problem. It is shown how the proposed system is able to return a number of novel and potentially-interesting associations among variables. Thus, it is argued that our method has significant potential to improve the analysis of marketing and business databases in practice, especially in non-programmed decisional scenarios, as well as to assist scholarly researchers in their exploratory analysis.     

Performance as a classification criterion of tourist origins and destinations

Portfolio analysis has been used as a tool for the study of market segments, namely of tourist destinations. However, a review of the literature did not identify a single case where the performance variable is adjusted to the nature of the object. This article presents a performance proxy that enables a direct comparison between generating countries (origins) and between destinations. The proposed tool is a component of a model for the identification of priority market segments. The instrument is applied to the 15 member states of the European Union (before its expansion on 1 May 2004), for the period from 1996 to 2001.     

The Retail Travels of the U.S. Greenback: A Comparative Study of Currency Substitution Along the U.S.-Canadian and U.S.-Mexican Borders

This currency substitution study explores the extent of retail firm-level U.S. dollar acceptance in Canada and Mexico. Employing a stratified random sampling approach of retail business in the border region, results demonstrate that all Mexican firms (N = 300/300) and nearly all Canadian (N = 257/261) firms accept the U.S. dollar in retail transactions. Of greater interest is the difference between firms in the two countries in how acceptance of the U.S. dollar is operationalized. On average, U.S. dollar sales of Canadian border firms comprise just 3.4% of total sales whereas U.S. dollar sales of Mexican firms encompass 23.7% of total sales. Our results also indicate a stark contrast as to the effective exchange rate for U.S. dollar acceptance— Canadian firms typically charge a premium (2.1% on average) while 69.3% of Mexican firms transacted business at a discount (?0.8% on average). Additional analyses further refine the currency substitution distinctions between Canadian and Mexican firms in the sample including a logistical regression which reveals significant differences as to firm-level predictors of U.S. dollar acceptance (whether at a discount or premium).     

Taxes, transfers and employment in an incomplete markets model

The consequences of increases in the scale of tax and transfer programs are assessed in the context of a model with idiosyncratic productivity shocks and incomplete markets. The effects are contrasted with those obtained in a stand-in household model featuring no idiosyncratic shocks and complete markets. The main finding is that the impact on hours remains very large, but the welfare consequences are very different. The analysis also suggests that tax and transfer policies have large effects on average labor productivity via selection effects on employment.     

Selección de proveedores basada en análisis dimensional

This article presents the evaluation of a group of six suppliers for an electromechanical component of hydraulic bombs. The comparison is made by using the dimensional analysis technique and the attributes evaluated were the component´s costs, product quality, post sale service from supplier, product reliability, supplier’s administration and organization and production technology in their production system. In addition, in order to integrate the opinion of several persons in the selection and decision process, the information analysis was done with the aid of a decision group integrated by five persons with responsibilities in the purchase area. The technique is easy to apply and has been widely accepted by its users, who are making its use extensive to other components supplier’s selection process.     

THE LABOUR FOOTPRINT: A FRAMEWORK TO ASSESS LABOUR IN A COMPLEX ECONOMY

As addressing labour becomes crucial in the move towards sustainability, there is the need for assessment tools suitable for current complex economic systems. This article presents an input–output based framework (‘labour footprint’) for evaluating labour issues behind the production of different economic commodities, including entire supply chains. In line with the guidelines of the International Labour Organization, six labour issues are considered: collective bargaining, forced labour, child labour, gender inequality, hazardous work, and social security. This conceptual article sets to (a) define this footprint's labour dimensions, (b) cite relevant data sources, (c) describe its calculation, (d) illustrate its application through a case study, and (e) discuss this framework's relevance from ‘conscious consumption’, ‘supply chain responsibility’, and regulators' standpoints. Since it advances the evaluation of fundamental labour issues and the scope of multi-criteria analyses, this footprint may be a valuable tool for sustainability assessments.