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.     

Applicability of the market appeal—robusticity matrix: a case study of heritage tourism

Hong Kong is a city where contemporary global culture coexists with traditional Chinese heritage. One way of promoting Hong Kong's traditional built heritage is to develop a number of linked sites as a heritage trail. For helping the development of such, this study evaluates the applicability of the market appeal—robusticity matrix on heritage tourism development, by assessing the potential for tourism in the single-surname villages of Hong Kong's New Territories. The study techniques include documentary research, questionnaire survey and interviews. The findings indicate the matrix is effective for enabling the assessment of heritage tourism potential because it simultaneously demonstrates the importance of two major considerations for both tourism industry and heritage managers, namely market appeal—an asset's appeal to tourists, and robusticity—its ability to endure visitation. The shortcomings of the model includes the inappropriateness of the technical term “product design needs” in the market appeal subset and lack of community concerns in the robusticity subset of the matrix.     

Testing Monetary Policy Intentions in Open Economies

Temple (2002) argues that the inflation level used in Romer (1993) lacks power in revealing the policy intentions of monetary authorities, Temple also points out that Romer's use of the openness-inflation correlation cannot be explained by time consistency theory. In this article, we demonstrate that more open economies experience less inflation volatility and persislence. We attribute our findings to the hypothesis that monetary authorities in more open economies adopt more aggressive monetary policies. This pattern emerges strongly after 1990. Our results indicate that the near-universal regime shift in 1990 is not just a simple process of increased monetary policy aggressiveness, but an increased response to economic openness.     

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.     

What do analysts do? Discussion of “Information interpretation or information discovery: which role of analysts do investors value more?”

Three decades of accounting and finance research has extensively studied the outputs from financial analysts. However, there is sparse systematic evidence on what analysts do to generate their outputs in the form of forecasts, recommendations, and research reports. Livnat and Zhang (Rev Account Stud, 2012) provide interesting new evidence regarding the relative amount of value added that analysts produce by examining investors?? reaction to analysts?? forecast revisions issued promptly after firms?? public disclosures compared with those issued at other times. Their analysis shows that prompt revisions are associated with larger returns, which the authors interpret as evidence that analysts?? ability to interpret public disclosures is more valuable to investors. Three issues bear consideration in the interpretation of these findings.