Vulnerability and industrial hazards in industrializing countries: an integrative approach

The extra vulnerability of industrializing countries to environmental problems and industrial accidents cannot be understood or solved by a ‘normal’ scientific analysis. Aspects of the social and institutional context must be included, through analyses based on post-normal science. The standard two-dimensional classification of PNS is modified to have axes ‘social ‘and institutional vulnerabilities’ and ‘complexity of technological hazards’. The analysis is mainly applied to the case of the relatively rare accidents with catastrophic potential. In these, the deaths per accident in India, Mexico and Brazil are much greater than in the industrialized countries. This discrepancy arises partly from location of such plants near residential communities for marginalized workers and their families. Other socio-political factors are relevant, as the role of these countries in the global production system, the enforcement of safety and planning laws, quality of housing, and lifestyle of residents. Reducing the vulnerability of industrializing countries will therefore require major social policies and a comprehension of the limits of the normal scientific and economic approaches to such problems.     

New Evidence from Brazil on Trade Liberalization and Productivity Growth*

This article presents evidence on the positive effect of international trade on productivity growth using industrial level data preceding and following Brazil's trade liberalization in 1988–90. Our data reveal large and widespread productivity improvement across industries after barriers to trade were drastically reduced. Econometric results confirm the association between trade liberalization and productivity growth and show that the impact was indeed substantial: The observed tariff reduction in the period brought a 6% estimated increase in total factor productivity growth rate and a similar impact on labor productivity.     

Formal and informal external linkages and firms�� innovative strategies. A cross-country comparison

Firms increasingly rely upon external actors for their innovation process. Interaction with these actors may occur formally (i.e. through a collaboration agreement) or informally (i.e. external actors acts as sources of information). We analyze the reasons why firms consider it to be important to develop formal and informal external linkages in the innovation process by looking at the role played by firms’ innovative strategies and by taking into account the possibility that a complementarity or substitutive relationship might exist between formal and informal linkages. Data are from the Third Community Innovation Survey (CIS 3), where we have access to firm level micro-data from Sweden, Norway, the Netherlands and the UK.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

Brand relationships through brand reputation and brand tribalism

The academic research on branding of consumer products and services is increasingly considering the degree of connectedness between consumers and brands as a key issue of investigation. The literature in this area investigates the nature and the strength of the relationship that consumers develop with brands, as well as the trend of joining brand tribes or brand communities in order to demonstrate and share with others their feelings towards and preference to brands. However, the impact of the overall perceptions of the brands in the form of its reputation and brand tribalism on brand relationships is so far unexplored in the existing literature. Using data collected from 912 respondents, this paper explores the importance of the long term brand reputation and brand tribalism on the strength of brand relationships. The findings suggest that brand tribalism is a better predictor of the strength of brand relationships than the long term brand reputation itself.     

A new methodology for the logistic analysis of evolutionary S-shaped processes: Application to historical time series and forecasting

A new multi-logistic methodology to analyze long range time series of evolutionary S-shaped processes is presented. It conceptually innovates over the traditional logistic approach. The ansatz includes computing the residuals to an optimized multi-logistic trend curve least squares fitted to the time-series data. The elements of the residuals series are checked for autocorrelations and once detected the residuals series is further analyzed to search for eventual presence of underlying periodic structures using a truncated Fourier sine series. The method foundations ensures both a universal applicability and a capacity to disclose the existence of active clocks that can be possibly traced to the driving motors of the evolutionary character of the time series, due to the responsiveness of corresponding process to the development of economic cycles. On associating these two views, it is found that the methodology has a strong potential to improve the quality of short-term forecasts. These findings have been put to test through applications of the methodology to studying the time evolution of two commodities of strong economic and social importance (corn and steel) and good results were consistently obtained for both the analytical and forecasting aspects.     

Project Management of Production Line Automation: A Comparative Analysis of Project Management in Brazil and Colombia

This article aims to evaluate the production line automation projects developed by Brazilian and Colombian companies from the Project Management perspective, through the analysis of the application degree of PMBOK processes, to understand how formal techniques are being employed in these countries and also to identify improvement opportunities, when necessary. Data were collected through a survey. The similarity index between the ten processes, with the highest application degree in the Brazilian and Colombian samples, was 70%. For the processes with the lowest application degree, the similarity index was 60%. No similar study was found in the literature.     

The uncertain moral context of price changes

The purpose of this paper is to motivate a microeconomic model of consumption in which there is uncertainty that is not resolved ex post regarding the moral context of price changes. We show that neoclassical microeconomic theory can yield a result in which expected utility falls when a consumer who is sufficiently concerned for the uncertain moral context of production is faced with a falling price.     

Buyer–Supplier and Supplier–Supplier Alliances: Do They Reinforce or Undermine One Another?

abstract    Previous research has portrayed buyer–supplier and supplier–supplier alliances as important mechanisms to foster learning and exchange efficiencies. Controversy remains, however, as to how these alliances interact. While some propose they reinforce one another (e.g. learning in horizontal ties generates positive spillovers to vertical ties), others propose a negative interplay (e.g. when increasing vertical-tie intensity, suppliers may weaken horizontal ties to avoid retaliation from buyers who wish to preserve bargaining power). We empirically test these competing views using survey data from the Brazilian auto-parts industry. In an attempt at reconciliation, we propose that the positive or negative interaction between vertical and horizontal alliances depends on the level of technological uncertainty of goods exchanged. Vertical ties seem to inhibit horizontal ties when technological uncertainty is low; when technological uncertainty is higher, vertical and horizontal ties do not seem to have any meaningful form of interaction. We discuss implications for theory and practice.