Analysis of the Service Dominant Logic network,authors, and articles

The present study analyses research conducted in Service Dominant Logic (S-D logic), providing an overview of its intellectual structure. For that purpose, a structured approach was adopted through the implementation of bibliometric methods, using co-citation analysis combined with performance analysis and an integrative science mapping approach, which considered a timeline, a graph, and a distance-based perspective. This allowed the identification of the leading authors and of six clusters of articles based on bibliographic coupling, along with the most prominent research themes clustered in five subdomains of research based on co-occurrence of terms. The networks extracted show the associations between the main articles and concepts treated by the S-D logic community, unveiling the salient challenges and prospective expansion facing its future theoretical and practical context.     

El desempeño económico financiero y responsabilidad social corporativa Petrobrás versus Repsol

Alterations in the institutional environment, as a result of the markets integration process and the consequent alterations in stakeholders’ conduct are one of the important vectors of changes in companies’ behavior. In that context, in addition to their yields those companies happen to worry about their attitudes in relation to social and environmental factors. Thus, the corporate social responsibility (CSR) is seen as one more strategy to maintain or increase their income and to harness the enterprise development. The main purpose of this study is the verification of the existing relation between Social Responsibility and the economic and financial performance of two companies in the business of Petroleum, Gas and Bio-combustibles. The investigation was based on a comparison of social-environmental practices developed by Petrobras S/A (Brazil) and Repsol S/A (Spain). For the purpose of verification of the relation between social-environmental performance and the economic-financial one, a linear regression analysis was carried out.     

Socio-economic impacts of migrant clustering on Dutch neighbourhoods: In search of optimal migrant diversity

The recent empirical literature on the impact of migrant clustering on socio-economic welfare indicators shows inconclusive and often even contradictory results. In this paper we argue that there is not an unambiguous empirical outcome of migrant or ethnic diversity, but that it depends on the level of migrant or ethnic composition itself. A low degree of socio-economic and cultural diversity may be beneficial for neighbourhoods, whereas an excessive degree of diversity may be harmful. We test this hypothesis by (i) constructing a migrant clustering index for all neighbourhoods in the Netherlands based on a gamma index; and, subsequently, (ii) incorporating it in a regression framework to assess three relevant socio-economic outcomes: neighbourhood income, number of students, and average housing value. We show that there is apparently an optimal level of migrant clustering, and that it is remarkably robust. For the Netherlands as a whole and for the ten largest Dutch cities as well, it is striking that largely similar effects were found. Our results suggest that population composition in neighbourhoods may vary up to about 40 per cent from the national average before migrant clustering generates negative effects.     

Sodium content in foods: Brazilian consumers’ opinions,subjective knowledge and purchase intent

This study attempted to gain insights on Brazilian consumers’ subjective knowledge of sodium content in processed and homemade foods and their purchase intent for products with reduced‐sodium content. A questionnaire was distributed to 409 consumers selected by convenience quota sampling. We found that Brazilian consumers were concerned about the amount of salt (sodium chloride) in the products they consumed, regardless of educational levels, income, age, lifestyles, or health conditions. However, they still considered their consumption to be above WHO‐recommended limits and had little subjective knowledge about the term ‘sodium’. While processed products were considered the main contributors of high‐sodium intake, participants were not concerned about addition of salt at the table and salt in homemade food. The majority of respondents rarely read the sodium content on food labels; however, men and older individuals were more likely to read label information on sodium content. Products with reduced sodium were found to have market appeal, which justifies investments in research to develop these products. Therefore, in addition to the efforts to reduce sodium in the processed‐food industry, it is necessary to promote awareness about the importance of food labelling, especially sodium content, and the need to reduce salt in homemade food and additions during meals.     

An application of nonparametric volatility estimators to option pricing

We discuss the impact of volatility estimates from high frequency data on derivative pricing. The principal purpose is to estimate the diffusion coefficient of an Itô process using a nonparametric Nadaraya–Watson kernel approach based on selective estimators of spot volatility proposed in the econometric literature, which are based on high frequency data. The accuracy of different spot volatility estimates is measured in terms of how accurately they can reproduce market option prices. To this aim, we fit a diffusion model to S&P 500 data, and successively, we use the calibrated model to price European call options written on the S&P 500 index. The estimation results are compared to well-known parametric alternatives available in the literature. Empirical results not only show that using intra-day data rather than daily provides better volatility estimates and hence smaller pricing errors, but also highlight that the choice of the spot volatility estimator has effective impact on pricing.     

A Walk in Customers' Shoes: How Attentional Bias Modification Affects Ownership of Integrity-violating Social Media Posts

The number of social media posts that expose company integrity violations has increased dramatically. In response, some companies empower employees to respond to customer blogs, which requires employees to recognize the customer's perspective. We show that attentional bias modification can be used to prime employees of two global Fortune 100 companies with a self-sufficiency or empathy bias. The results indicate that narrative transportation, or the extent to which employees mentally enter the world evoked by a customer's story, mediates the effect of attentional bias on two relevant psychological ownership dimensions: acknowledgment of responsibility and willingness to respond. Participants with a self-sufficiency bias neither acknowledge responsibility nor want to respond. However, participants primed with an empathy bias take responsibility for the customer's case and respond to the integrity violation. We find evidence for two boundary conditions of this effect: (1) it strengthens when the employee perceives the customer's financial vulnerability as high and (2) it weakens when the customer is impolite in the blog post.     

Wage and employment effects of a wage norm

Most transition countries used tax‐supported wage norms in the early 1990s, as a part of their market liberalization programmes. This article analyses how a firm‐level tax (or subsidy) on deviations from a pre‐set wage norm may promote employment by rotating the labour demand curve perceived by the workers’ union around the value of the norm. We derive the conditions under which it yields a positive employment effect. We test the effect of the norm on the wages on a sample of Polish firms in 1990 and 1991. The data support the role of the wage norm on the position of the perceived labour demand curve and the role of the tax rate on its slope.