Fundamentals versus external shocks: Brazil's growing exposure to currency crises

While financial globalization does not lack theoretical economic merit, the more far-reaching practical consequences of this phenomenon are often not fully appreciated from the vantage point of North America or the European Union. In particular, globalization can make it more difficult for emerging economies to achieve macroeconomic stabilization. This is especially true if the countries in question have chosen the vehicle of pegged exchange rates as an important element of domestic anti-inflation policy. The chief macroeconomic difficulties for emerging economies in a world of volatile capital flows can include a loss of monetary control, a real appreciation of the domestic currency, and a worsening of economic fundamentals leading to damaging currency crises. This paper concentrates on the recent experience of Brazil as illustrative of the abject plight faced by many developing countries attempting to secure economic stabilization against the background of the present globalized international economy.This paper has benefitted from discussion with participants of the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998.     

Prepurchase financing pool: Revealing the IRR problem

Internal rate of return (IRR) is one of the most common and important indicators in investment analysis because it is often used by managers and practitioners as a decision-making criterion. Moreover, the IRR reflects the financial cost in financing decisions and it helps to answer the following question when comparing different financing alternatives: “Which loan is the cheapest?” Among the different types of loans in Brazil, there is a financial product called a prepurchase financing pool (PPFP) that is generally regarded as the best option for financing or loans. The objective of this article is to use the prepurchase financing pool to show the flaws of IRR in financial analysis. In particular, when IRR is used to evaluate the prepurchase financing pool, one finds problems of reliability regarding (i) existence, (ii) uniqueness, and (iii) economic interpretation of the rate. The results show that the prepurchase financing pool is relevant evidence that the IRR flaws are found in financial products.     

Integrated reporting and capital markets in an international setting: The role of financial analysts

This study investigates the interplay between integrated reporting (IR) and capital markets. In particular, building on voluntary disclosure and information processing theories, we hypothesize and empirically find that IR adoption improves analysts' ability to make accurate earnings forecasts. Whereas previous studies focus on the South African context, we rely on an international sample that also allows us to study the moderating effect of the corporate governance regime (shareholder or stakeholder oriented). The results suggest that IR improves analysts' ability to make accurate predictions to a larger extent in North America than in Europe, and we derive interesting insights on the much‐debated nature of IR. This study offers valuable insights to policy makers interested in improving disclosure practices in the financial market.     

Horizontal mergers between multisided platforms: Insights from Cournot competition

This paper discusses the literature on horizontal mergers between multisided platforms and argues that the Cournot model can provide useful insights into the welfare effects of such mergers. To illustrate those insights, we develop a simple model in which two‐sided platforms offer a homogeneous service and compete à la Cournot, and derive the effects of “average‐marginal‐cost‐preserving” mergers on consumers on both sides of the market. We conclude with a discussion of several research avenues that could be explored to understand better the impact of horizontal mergers between multisided platforms.     

What's Behind CRM Research? A Bibliometric Analysis of Publications in the CRM Research Field

The diversity of approaches to customer relationship management (CRM) brings about the need for systematic reviews. The objective of this article is to identify and categorize the most used publications in the CRM field. We conducted a bibliometric analysis using the Web of Science database. To identify and categorize the subfields, we conducted an exploratory factor analysis. The most used publications were categorized into: (1) methodology in the CRM research field; (2) relationship marketing; (3) service quality and customer loyalty; (4) implications of market-oriented strategy; (5) CRM theory and its practical implications; (6) strategic management; and (7) customer value.     

Granger causality detection in high-dimensional systems using feedforward neural networks

This paper proposes a novel methodology to detect Granger causality on average in vector autoregressive settings using feedforward neural networks. The approach accommodates unknown dependence structures between elements of high-dimensional multivariate time series with weak and strong persistence. To do this, we propose a two-stage procedure: first, we maximize the transfer of information between input and output variables in the network in order to obtain an optimal number of nodes in the intermediate hidden layers. Second, we apply a novel sparse double group lasso penalty function in order to identify the variables that have the predictive ability and, hence, indicate that Granger causality is present in the others. The penalty function inducing sparsity is applied to the weights that characterize the nodes of the neural network. We show the correct identification of these weights so as to increase sample sizes. We apply this method to the recently created Tobalaba network of renewable energy companies and show the increase in connectivity between companies after the creation of the network using Granger causality measures to map the connections.     

Online Engagement and the Role of Digital Influencers in Product Endorsement on Instagram

Abstract

The article aims to analyze the forms of engagement generated from the endorsement of products by digital influencers on Instagram, considering the characteristics of their online posts. A qualitative approach was used to investigate digital influencers’ posts based on semiotic image analysis and the critical incidents technique. The results reinforced that digital platforms enable distinct forms of engagement by establishing new configurations that affect relationship marketing and promotion strategies. In particular, on Instagram, the development of engagement can involve four participants who play different social roles, expanding the process of value co-creation.     

Who is going to save the Brazilian Amazon forest? Reflections on deforestation,wildlife eviction,and stewardship behavior

The Brazilian Amazon deforestation is the context for this article, approached as a crime against humanity and wildlife. Recently, Amazon forest fires have also worried most of the economically developed nations, generating criticism and demanding that the Brazilian Government be more active in preventing fires and deforestation. It is necessary to guarantee the wellbeing and health of millions of animal species that live in this habitat, avoiding their extinctions and encouraging the preservation of the forest and its inhabitants. Agribusiness, together with illegal timber trade, are blamed for most of the deforestation. In this paper, we present and discuss Brazilian Amazon deforestation data, addressing the role of agribusiness as dependent on good environmental governance. We argue how stewardship behavior needs to become a path to stop deforestation and wildlife eviction and we reflect on what marketers in Brazil and the world can do to better protect the Amazon rainforest. We conclude that the Government, companies, and society must be coresponsible for the protection of the Amazon rainforest through conservation transparency, dialogue, environmental awareness, and sustainability in production and consumption practices.     

Which manufacturing firms learn by exporting?

Using a longitudinal database (1996–2003) at the plant level, this article analyses the causal nexus between international trade engagement and productivity in Portugal. By applying the propensity score matching and a differences-in-differences estimator, the learning-by-exporting hypothesis is analysed in particular. A higher growth of labour productivity and total factor productivity is found for new exporting firms. To uncover the channels through which the learning effects are driven, the same methodology is applied to some sub-samples. Learning effects are higher for new exporters that are also importers or start importing at the same time. Other factors affecting learning ability are found in firms exporting to more developed markets, in those that achieve a certain threshold of export intensity and mainly for those firms that belong to sectors where Portugal has a comparative disadvantage.     

GLOBAL MARKETING NEWS

ABSTRACT

The authors studied how knowledge derived from firms’ relationships—the so-called second-hand knowledge—is likely to influence their internationalization process. In this article, they examine how a European producer of textiles is able to sell worldwide, including to China, a highly competitive player in this industry. This article discusses models of firms’ networks and the extent to which such networks generate important knowledge that can explain internationalization behavior—how it is able to influence the selection of foreign markets and the entry mode used. The authors use the revised version of the Uppsala model of internationalization, which emphasizes the roles of trust-building, knowledge, and creation of opportunities within relationships.