Marketing metrics: Insights from Brazilian managers

This study examines how managers approach marketing measures in a Brazilian context. Using data from a large-scale empirical study in Brazil, we focus on managers' views of the practices in marketing measurement and identify which indicators they emphasize. The findings, which reflect Brazilian managerial practice, indicate that managers use a combination of metrics. Items such as total number of customers, number of complaints, and customer satisfaction are among the most known and most used metrics. When addressing the 10 most relevant metrics results yield 4 groups, including customer vision, financial, product vision, and market and innovation. Indicators pertaining to customer vision are the most important to Brazilian managers. Furthermore, we discuss the results and draw comparisons with similar studies conducted in the United Kingdom and China. Finally, we present conclusions and avenues for future research.     

Efficient Sorting in a Dynamic Adverse-Selection Model

We discuss a class of markets for durable goods where efficiency (or approximate efficiency) is obtained despite the presence of information asymmetries. In the model, the number of times a good has changed hands (the vintage of the good) is an accurate signal of its quality, each consumer self-selects into obtaining the vintage that the social planner would have assigned to her, and consumers' equilibrium trading behaviour in secondary markets is not subject to adverse selection. We show that producers have the incentive to choose contracts that lead to the efficient allocation, and to supply the efficient output. We also provide a contrast between leasing contracts, resale contracts, and different kinds of rental contracts. Resale contracts do not lead to the efficient allocation. A specific kind of rental contract provides the appropriate incentives to consumers.     

SHAKEOUTS AND MARKET CRASHES*

This article provides a microfoundation for the rise in optimism that seems to precede market crashes. Small, young markets are more likely to experience stock‐price run‐ups and crashes. We use a Zeira–Rob type of model in which demand size is uncertain. Optimism then grows rationally if traders' prior distribution over market size has a decreasing hazard. Such prior beliefs are appropriate if most new markets are duds and only a few reach a large size. The crash occurs when capacity outstrips demand. As an illustration, for the period 1971–2001 we fit the model to the Telecom sector.     

Sectoral shifts, diversification and regional unemployment: evidence from local labour systems in Italy

Using Local Labour Systems (LLSs) data, this work aims at assessing the effects of sectoral shifts and industry specialization patterns on regional unemployment in Italy over the years 2004–2008. Italy represents an interesting case study because of the high degree of spatial heterogeneity in local labour market performance and the well-known North–South divide. Furthermore, the presence of strongly specialized LLSs (Industrial Districts, IDs) allows us to test whether IDs perform better than highly diversified urban areas thanks to the effect of agglomeration economies, or viceversa. Building on a semiparametric spatial auto-regressive framework, our empirical investigation documents that sectoral shifts and the degree of specialization exert a negative role on unemployment dynamics. By contrast, highly diversified areas turn out to be characterized by better labour market performances.     

Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards

This paper examines the relationship between Schumpeterian patterns of innovation and the generation of breakthrough inventions. Our data source for breakthrough inventions is the “R&D 100 awards” competition organized each year by the magazine Research & Development. Since 1963, this magazine has been awarding this prize to 100 most technologically significant new products available for sale or licensing in the year preceding the judgment. We use USPTO patent data to measure the relevant dimensions of the technological regime prevailing in each sector and, on this basis, we provide a characterization of each sector in terms of the Schumpeter Mark I/Schumpeter Mark II archetypes. Our main finding is that breakthrough inventions are more likely to emerge in ‘turbulent’ Schumpeter Mark I type of contexts.     

Turbulence underneath the big calm? The micro-evidence behind Italian productivity dynamics

Italy ranked last in terms of manufacturing productivity growth according to OECD estimates over the last decade, with a flat, if not declining, trend. In this work we investigate the underlying firm-level dynamics of enterprises on the basis of a database developed by the Italian Statistical Office (ISTAT) covering the period 1989?C2004 and containing information on more than 100,000 firms. Over this period not only have the indicators of the central tendency of the distribution of labor productivity not significantly changed, but also the whole sectoral distributions have remained relatively stable over time, with their support at least not shrinking, or even possibly widening, over time. This is even more surprising if one takes into consideration the ??Euro?? shock that occurred during the period investigated. On the contrary, we observe that inter-decile differences in productivity have been increasing. Further, heterogeneous firms?? characteristics (i.e. export activity and innovation) seem to have contributed to boosting such intra-industry differences. Given such wide heterogeneities we resort to quantile regressions to identify the impact of a set of regressors at different levels of the conditional distribution of labor productivity. One phenomenon that we observe is what we call a tendency toward ??neo-dualism?? involving the co-existence of a small group of dynamic firms with a bigger ensemble of much less technologically progressive ones.     

Diversity and Communication in Teams: Improving Problem-Solving or Creating Confusion?

Despite the rich and interdisciplinary debate on the role of diversity and communication in group problem-solving, as well as recognition of the interactions between the two topics, they have rarely been treated as a joint research issue. In this paper, we develop a computational approach aimed at modeling problem-solving agents and assess the influence of various levels of diversity and communication in teams on agents’ performance in problem-solving. By communication, we intend a conversation on the persuasiveness of the features characterizing problem-setting. By diversity, we mean differences in how agents build problem representations which allow them to access various solutions. We deploy the concept of diversity along two dimensions: knowledge amplitude, which accounts for the level of available knowledge allowing access to poorer or richer problem representations (compared with complete problem representations), and knowledge variety, which pertains to the differences in the constituents of agents’ representations. We define performance as the frequency with which diverse agents choose the same alternative representation of an agent displaying complete representations of the problem. Our results indicate that communication is more effective when agents elaborate from relatively richer problem representations, as this provides a basis for integrating the variously diverse beliefs of their teammates. Conversely, poorer diverse representations may lead to worse performance when knowledge variety also applies. Lastly, we show that the influence of communication is not monotonically positive, as increasing communication intensity performance may worsen at any level of knowledge availability and knowledge variety.     

Political competition and policy choices: the evidence from agricultural protection

This article investigates whether political competition plays an important role in determining the level of agricultural protection. In order to do so, we exploit variation in political and economic data from 74 developing and developed countries for the post‐war period. We use two measures of political competition: one that captures the extent to which political power can be freely contested regardless of election results and one based on vote share at last parliamentary elections. Our results, based on static and dynamic panel estimators, show unambiguously that the higher the level of political competitions is, the higher the agricultural protection.     

Consumer Quality Perception in Traditional Food: Parmigiano Reggiano Cheese

Abstract

The paper aims to classify the quality cues and attributes of grated Parmigiano Reggiano cheese, an Italian traditional food cheese, exploring if they affect consumers’ quality perceptions and expectations. Analysis is based on a questionnaire administered in hypermarkets where grated Parmigiano Reggiano is sold. A factor analysis, using varimax rotation, and a cluster analysis, were performed, using the Stata 12 software package. The clusters used were: geographical origin and packaging (cluster 1); price, brand and quality certification (cluster 2); all sensory attributes (cluster 3); and a combination of sensory attributes with price, brand, and quality certification (cluster 4). This is the first study to examine the quality cues and attributes affecting quality perception and expectations of cheese for grated Parmigiano Reggiano from a consumer perspective. It is also the first to classify cheese attributes following a quality approach, encompassing previously studied sensory and other attributes.