A progress report: The ‘quality of life’ in a method of integrated planning: Aspects of an Italian research project, ‘Progetto Quadro’

This paper describes the main concepts and approaches of a method of integrated planning developed in Italy. This work, still in the research phase, is sponsored by the Italian government agency responsible for economic planning.

Formally entitled ‘Progetto Quadro’, the project involves construction of a reference framework composed of a set of highly disaggregated socio-economic accounts. This includes a resource-use analysis of structural and functional interdependencies of the economic system and of its operation with regard to a societally inspired program-structure.     

Towards a Theory of Organizational Improvisation: Looking Beyond the Jazz Metaphor

abstract This paper calls for research on organizational improvisation to go beyond the currently dominant jazz metaphor in theory development. We recognize the important contribution that jazz improvisation has made and will no doubt continue to make in understanding the nature and complexity of organizational improvisation. This article therefore presents some key lessons from the jazz metaphor and then proceeds to identify the possible dangers of building scientific inquiry upon a single metaphor. We then present three alternative models – Indian music, music therapy and role theory. We explore their nature and seek to identify ways in which the insights they generate complement those from jazz. This leads us to a better understanding of the challenges of building a theory of organizational improvisation.     

Climate change shocks and socially responsible investments

Climate change's impact on investor behavior is a scantly investigated area in finance. This paper examines the performance of socially responsible exchange trade funds (ETFs) concerning conventional ETFs, in response to climate change events. We proxy climate change signals with a list of natural disaster events that NASA scientists relate to climate change. We contribute to existing literature, by using a very extensive information set of ETF strategies, not influenced by rating agencies' subjective evaluation policies, and covering almost 90% of the universe of worldwide sustainability thematic-oriented ETFs. This sample allows us to identify the socially responsible investment behavior in response to unpredictable climate change shocks. Our identification strategy accounts for endogeneity concerns and relies on two-stage least square (2SLS) approach finding that responsible investors react to climate change events by purchasing socially responsible investments. The relationship between climate change signals and return of investment in themes linked to the development of sustainability is positive. Interestingly enough, the sign of this relationship is different, when we disentangle the empirical results according to the asset type, confirming that investors shift their investments from equity funds to bond funds when market sentiment worsens. Our results indicate that policymakers should increase the support of firms adopting environmentally conscious business practices, while managers should boost a sustainable business strategy.     

Multidimensional configurations of the organizational climate construct

This study describes the creation and validation of a multidimensional model which assesses the level of employee satisfaction based on international theoretical models. It utilizes data collected from a sample of 518 public and private company employees during the year 2009 in the city/state of São Paulo, Brazil. In the first stage of the study, 15 independent dimensions were theoretically obtained. In the second stage, five different multiple dimensions were confirmed using structure equation modeling (SEM) technique, thus characterizing general configurations of the organizational climate construct denominated motivation, management philosophy, leadership, people management and nature of work. It is hoped that the model can contribute by enhancing managerial best practices of an organization by attending a major demand for those listed on stock markets, since these companies must periodically provide information on job satisfaction of their employees to maintain or achieve higher levels of corporate governance.     

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.     

Machine learning,artificial neural networks and social research

Quality & Quantity - Machine learning (ML), and particularly algorithms based on artificial neural networks (ANNs), constitute a field of research lying at the intersection of different...     

Output gap in Brazil: a real-time data analysis

Recent literature for developed economies has shown that output gap estimates go through important revisions over time, impairing their reliability in real time. We organize a real-time data set for Brazil’s GDP and assess the revisions of the output gap estimated by four different methods. Similar to the findings of studies for developed economies, the output gap revisions in Brazil are substantial in all methods, with frequent changes in the output gap sign. In general, both the GDP data revision and the effect of adding new observations to the sample are relevant sources of output gap revisions. However, differently from those studies, we cannot assert that the latter source is preponderant.     

Technological regimes and demand structure in the evolution of the pharmaceutical industry

This paper examines how the nature of the technological regime governing innovative activities and the structure of demand interact in determining market structure, with specific reference to the pharmaceutical industry. The key question concerns the observation that—despite high degrees of R&D and marketing-intensity—concentration has been consistently low during the whole evolution of the industry. Standard explanations of this phenomenon refer to the random nature of the innovative process, the patterns of imitation, and the fragmented nature of the market into multiple, independent submarkets. We delve deeper into this issue by using an improved version of our previous “history-friendly” model of the evolution of pharmaceuticals. Thus, we explore the way in which changes in the technological regime and/or in the structure of demand may generate or not substantially higher degrees of concentration. The main results are that, while technological regimes remain fundamental determinants of the patterns of innovation, the demand structure plays a crucial role in preventing the emergence of concentration through a partially endogenous process of discovery of new submarkets. However, it is not simply market fragmentation as such that produces this result, but rather the entity of the “prize” that innovators can gain relative to the overall size of the market. Further, the model shows that emerging industry leaders are innovative early entrants in large submarkets.     

Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.