Exploring the Antecedents of Brand Loyalty and Electronic Word of Mouth in Social-Media-Based Brand Communities: Do Gender Differences Matter?

ABSTRACT

Recently, social media have emerged as key marketing communication channels. In this context, consumers are increasingly gathering in online communities which have been identified as social-media-based brand communities (SMBBCs). However, notwithstanding scholars' attention towards SMBBCs, the role of consumers' gender in developing brand loyalty intention (BLI) has been scarcely explored by literature. Moreover, scant attention has been given to the analysis of whether gender is related to different propensities towards brand recommendation—identified as a proactive behavior towards a positive electronic word of-mouth diffusion (E-WOM)—in the social media context. Hence, this research aims to explore the antecedents of BLI and E-WOM by focusing on consumers' gender differences. A structural equation model has been created based on 250 surveys collected among SMBBCs of an American sportswear brand. The results showed that male consumers' BLI is influenced by engagement in SMBBCs. Instead, brand trust was the main antecedent of females' BLI.     

The network of networks: Localized technological change in telecommunications and productivity growth

Radical innovations in the usage of telecommunication services have drastically changed the role of telecommunications in the economy. Today the usage of telecommunications services is associated with the opportunity to extract significant quasi-rents. An empirical analysis of the Italian case in the mid-eighties confirms the significant difference between telecommunications cost share and marginal productivity levels. The opportunity to reap transient quasi-rents has in turn pushed users to innovate so as to become major players in the arena of technological change in telecommunications and information technologies. In this context the notion of network of networks, implemented in the European Union, seems most appropriate to push the dynamic efficiency of the system and accommodate both centrifugal and centripetal innovations, yet also to retain network interoperability and interconnectivity.     

Localised appropriability: pecuniary externalities in knowledge exploitation

Pecuniary externalities are crucial in shaping the strategies for the valorisation of the distinctive competences and the economic success of innovative firms. The analysis of conditions for localised knowledge appropriation and exploitation makes it possible to identify idiosyncratic production factors. The introduction of directed technological change biased towards their intensive usage provides the opportunity for the exploitation of technological knowledge.     

Keynes and India, 1909–1913: a study on foreign investment policy

Abstract

Keynes's work on India before the First World War concentrated on analysis of the gold exchange standard and the stabilization of the rupee external value. Indian monetary arrangements were framed into a plan for foreign investment, implemented by the India Office in London. This policy, which was a typical example of public control over investments, occasioned Keynes's first job as an applied economist. Although neglected by Keynesian scholarship, this learning by doing experience is likely to have played a significant role in the young economist's training and education.     

Forecasting Surrender Rates Using Elliptical Copulas and Financial Variables

A multistage stochastic model to forecast surrender rates for life insurance and pension plans is proposed. Surrender rates are forecasted by means of Monte Carlo simulation after a sequence of GLM, ARMA-GARCH, and copula fitting is executed. The model is illustrated by applying it to age-specific time series of surrender rates derived from pension plans with annuity payments of a Brazilian insurer. In the GLM process, the only macroeconomic variable used as an explanatory variable is the Brazilian real short-term interest rate. The advantage of such a variable is that we can take future market expectation through the current term structure of interest rates. The GLM residuals of each age/gender group are then modeled by ARMA-GARCH processes to generate i.i.d. residuals. The dependence among these residuals is then modeled by multivariate Gaussian and Student's t copulas. To produce a conditional forecast on a stock market index, in our application we used the residuals of an ARMA-GARCH model fitted to the Brazilian stock market index (Ibovespa) returns, which generates one of the marginal distributions used in the dependence modeling through copulas. This strategy is adopted to explain the high and uncommon surrender rates observed during the recent economic crisis. After applying known simulation methods for elliptical copulas, we proceeded backwards to obtain the forecasted distributions of surrender rates by application, in the sequel, of ARMA-GARCH and GLM models. Additionally, our approach produced an algorithm able to simulate multivariate elliptical copulas conditioned on a marginal distribution. Using this algorithm, surrender rates can be simulated conditioned on stock index residuals (in our case, the residuals of the Ibovespa returns), which allows insurers and pension funds to simulate future surrender rates assuming a financial stress scenario with no need to predict the stock market index.     

Non‐compliance in Executive Compensation Disclosure: the Brazilian Experience

We examine the determinants and consequences of firms’ choice not to comply with a new executive compensation disclosure regulation. We exploit a unique feature of Brazilian markets, where a change in the regulation of executive compensation disclosure could arguably lead to personal security‐related costs for executives. This major reform in executive compensation disclosure in Brazil became effective in December 2009. While some firms complied with the change in regulation, other firms explicitly refused to comply fully with the regulation by using a court injunction. After controlling for firm‐specific characteristics and both social and economic inequality measures, we find that the degree of criminality in the state in which the firm is headquartered (a proxy for security‐related costs) and the level of CEO compensation are important determinants of a firm's decision not to fully disclose executive compensation information. We also show that firms which do not fully comply with the regulation face costs in the form of higher bid‐ask spreads, suggesting investors are leery of the decision not to comply with the regulation. We discuss the potential implications of our results in the context of executive compensation disclosure reform.     

A Fiscal Stimulus and Jobless Recovery

We analyze the effects of a government‐spending expansion in a dynamic stochastic general equilibrium model with Mortensen–Pissarides labor‐market frictions, deep habits in private and public consumption, investment adjustment costs, a constant elasticity of substitution (CES) production function, and adjustments in employment at both intensive and extensive margins. The combination of deep habits and CES technology is crucial. The presence of deep habits magnifies the responses of macroeconomic variables to a fiscal stimulus, while an elasticity of substitution between capital and labor in the range of available estimates allows the model to produce a scenario compatible with the observed jobless recovery.     

Speed and Sequencing of Transition Reforms and Income Inequality: A Panel Data Analysis

An extensive literature has analyzed the economic effects of transition patterns in Central and Eastern European and former Soviet Union countries. With few recent exceptions, analysis of the impacts of speed and sequencing of reforms has not concerned the dynamics of income inequality. In this paper we analyze the heterogeneous effects of transition reforms on inequality by explicitly considering their speed and sequencing. To this aim we identify eight transition models in which the 27 countries considered are classified. The dynamic panel‐data analysis for the period 1989–2009 reveals that balanced transition patterns, which favored a coordination of reforms especially in specific fields, were relatively less pro‐inequality.     

Localized knowledge percolation processes and information networks

Summary The development of knowledge within industries is strongly influenced by the network structure of relations among firms. Firms relying on localized knowledge can implement their technological capability not only by means of research and development expenditures and internal learning but also through the systematic absorption of technological and scientific externalities available in their environment. Percolation processes have been studied in physics as the outcome of two classes of forces termed as connectivity and receptivity. The former measures the number of connections in place among the agents in the network and the latter the capability of each agent to absorb the informations received. This paper applies the methodology of percolation processes to operationalize the implications for both the economics of innovation and for technology policy of the structural characteristics of innovation networks as communication systems.