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The underlying concern of copyright is with communication; the purpose of the copyright system as it exists today is to stimulate those who have something to communicate—ideas, information, visions—to express them in a form in which they can be communicated to other human beings. The copyright system seeks to encourage authors to write, musicians to compose, artists to paint, and to provide incentives for the dissemination of their output by giving them rights of control over the use to which these forms of expression—literature, music, visual art—may be put by the public. The copyright law today is entirely statutory, subject, of course, to judicial interpretation as and when disputes come before the courts. The present statute is the Copyright Act 1956; its principal effect may be summarised in the following way:

IFRRO is the central forum for information exchange and mutual action for organisations concerned with reproduction rights for copyright materials. More than 45 national and international organisations from 19 countries participate.

Writers in Britain traditionally license a wide range of rights to publishers and broadcasters, often through agents. This tradition, known as the “Anglo‐American” as opposed to the “European” tradition of licensing collectively such rights, has meant individual negotiations, up‐front money and residuals.

High ownership concentration makes controlling blockholders powerful enough to use private benefits of control and able to shape the corporate governance system to favor their own interests. This paper aims to examine the effect of the nature of the ultimate firm owner on the quality of corporate governance in Brazil.

Econometric models are estimated to assess whether the nature of the ultimate controlling shareholder affects the quality of the corporate governance system. Models are estimated using panel data methodology with coefficients estimated by the generalized method of moments system estimator.

The results show that the absence of a controlling shareholder has a positive effect on corporate governance, whereas the presence of a controlling blockholder, or a shareholder agreement among a few large shareholders, has a negative effect. This adverse effect holds when the controlling blockholder is a family or another firm. The findings are in line with the expropriation effect given that weaker corporate governance system facilitates controlling shareholders’ ability to extract private benefits of control. The findings also give support to the substitution effect as powerful blockholders take on the management monitoring function by weakening the board.

Following important previous literature, the study investigates the effect of the nature of large controlling shareholders on the adoption of good corporate governance practices. The work provides additional evidence on the effect of the nature of large controlling shareholders on the quality of the corporate governance system in Brazil, taking into account the main kinds of controlling blockholders present in that market. The findings give support to both the expropriation and substitution hypotheses highlighting the presence of the principal-principal agency model in an important emerging market, Brazil.

This study aims to contribute to the healthy eating literature by analyzing whether fear of coronavirus disease 2019 (COVID-19), ability to prepare food and the safety-seeking are antecedents of the intention to consume healthy foods during COVID-19 pandemic.

The authors conducted two studies. The first study was done with a sample of 546 valid respondents. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze data. The second study was qualitative, in which 40 subjects took part. Data were analyzed using thematic analysis.

The main findings reveal that ability to prepare food and the safety-seeking are strong antecedents of the intention to consume healthy foods. In addition, safety-seeking mediates the relationship between fear of COVID-19 and intention to consume healthy eating. However, high levels of fear did not influence the ability to prepare food and intention to consume healthy foods. Also, the ability to prepare food does not mediate the relation between fear of COVID-19 and intention to consume healthy food.

This study is among the first to consider terror management propositions to analyze the intention to consume healthy foods during COVID-19 pandemic. From a scientific point of view, it has several contributions to the literature. First, this study provides advances and innovation in the field by identifying new explanatory relations. Second, this study extends the scope of terror management health model (TMHM) by analyzing it in the pandemic context. Third, the findings seem to provide empirical support for recent criticism of TMHM assumptions. Moreover, practical implications are outlined to public health decision-makers and healthy food businesses on increasing consumers’ intention to healthy eating.

This paper aims to compare the prevalence of metabolic syndrome (MetS) on the basis of three criteria. The diagnostic criteria adopted were those of the International Diabetes Federation, the National Cholesterol Education Program – Adult Treatment Panel III and the American Heart Association/National Heart, Lung and Blood Institute..

A transversal study was undertaken with 691 university students in Fortaleza, Brazil, in 2011-2013.

The prevalence of MetS varied considerably according to the criteria used, it being 4.1 per cent for the IDF, 0.7 per cent for the NCEP ATPIII and 1.7 per cent for the revised NCEP ATPIII. The criteria of the IDF presented reasonable agreement in relation to the NCEP ATP III (0.294) and revised NCEP ATP III (0.334). Moderate agreement was found between the NCEP ATPIII/revised NCEP ATPIII.

There is a need for a universal diagnostic criterion for MetS to obtain uniform and more reliable data for the elaboration of public health policies.

The purpose of this paper is to investigate how three core elements of critical management studies (CMSs), “de-naturalisation”, “reflexivity” and “(non)-performative intent”, can help expand the current debate in the supply chain management (SCM) field.

The authors used a systematic literature review to select 103 articles published in 12 high-ranking journals in the SCM field based on the Academic Journal Guide of the Chartered Association of Business Schools.

The findings of this study suggest that SCM studies can be narrowed down into four major CMSs themes: “power”, “ethics and environmental issues”, “diversity” and “working conditions”, but even these themes are still under-discussed and undertheorized in SCM. The literature the authors reviewed is more concerned with explaining these phenomena than questioning them and proposing new agendas. This paper, therefore, will discuss how these three core elements of CMS can help transform the “hidden” issues of SCM, which it will do by illustrating it in the context of buyer–supplier relationships and lean manufacturing.

This research will encourage SCM scholars who are interested in conducting more critical studies and teaching the harmful effects of global supply chains.

This paper highlights that a combination of SCM and CMS approaches is important when we decide to adopt a more critical “constructive” view of supply chain challenges and engage practical and critical views, respectively, to generate knowledge that not only increases (corporate) performance but also highlights social needs and values.

The purpose of this paper is to analyse empirically the racial relations of segregation of the black population in the city of Salvador, Brazil, which built according to a subtle model of the construction of differentiated spaces for the white population and the black population in the city.

The methodology used for the construction of this manuscript was that of the action research, through the insertion of the researcher within the field of study, obtaining observational perceptions of the inhabited place and collecting reports of the research subjects inserted in the field of study.

The present research obtained as final results the explicit characterisation of a veiled and subtle model of racial segregation imposed on the black population of the city of Salvador, manifesting the clear prejudice of the white population and also a state racism directed to the oppressed black population.

The originality of the research consists in the fact that there is no research modality within Brazil for the analysis of historical apartheid policies. The Brazilian state, in this sense, appears within the current framework of academic research as a clear incentive and propagator of governmental actions that corroborate the maintenance of the exclusionary city system, which separates the black and white population in differentiated social spaces.

This study aims to measure the degree of innovation of micro and small industrial companies in the West and Southwest metropolitan regions of the city of São Paulo, through a survey with 203 firms in the metallurgy sector.

The research had a quantitative and descriptive focus and used as methodology the validated and international approach known as Innovation Radar.

The degree of innovation in these micro and small companies is low; thus, the authors could not characterize them as systemic innovators. Most of them are little innovative, although some were classified as occasional innovators. The dimensions organization, processes, presence, supply chain and added value were the least developed.

To carry out similar studies in other Brazilian regions, to compare results and draw new conclusions, or even check if the degree of innovation present in micro-firms of these regions would not be even lower; to monitor the evolution of companies through a longitudinal study, to detect improvements in the degree of innovation; and to conduct a qualitative research that can deepen questions on the results of our study, such as the reasons why this type of company does not adopt innovative practices, or even the real suitability of the Innovation Radar model for micro and small enterprises (MSEs). We observed that some dimensions proved to be too sophisticated for these companies, such as R&D investments and the adoption of technological advances.

The study shows that the degree of innovation measured by the Innovation Radar is a useful and initial measure to check an innovative attitude in micro and small companies. It can also drive the actions that should be prioritized to stimulate the culture of innovation in SME. However, it does not allow to answer why this type of organization does not adopt innovative practices as a management attitude. Regarding its contribution, the authors expect that the paper may bring an awareness of managers and owners of micro and small companies for the need to foster innovative practices that can help increase the competitiveness and survival of this type of organization.

In Brazil, despite the fact that MSEs represent 98 per cent of the existing companies, and are mainly responsible for job creation, their leaders have a low concern for innovative practices.

The study contributes to identify the degree of innovation of these firms, which comprise a representative and strategic segment of the city’s economy, by checking to what extent an innovative attitude is effectively present in this sector. The theoretical contribution of this study regards the appropriateness of mechanisms or methodologies created to measure the degree of innovation in large organizations. Dimensions such as technological platform, brand, innovative ambience, degree of organization or systematization of processes, which are frequently considered for companies in general, and especially for large ones, are not sufficient or, instead, too sophisticated to allow an effective measurement of the degree of innovation in MSE. Thus, this study provides information for designing more effective ways to evaluate the degree of innovation that take into account MSE’s specificities, which can be considered innovation efforts, such as simple process improvements, professional development of teams, and actions to seize ideas and opportunities, among others.

One of the key elements in the banking industry relies on the appropriate selection of customers. To manage credit risk, banks dedicate special efforts to classify customers according to their risk. The usual decision-making process consists of gathering personal and financial information about the borrower. Processing this information can be time-consuming, and presents some difficulties because of the heterogeneous structure of data.

This paper presents an alternative method that is able to generate rules that work not only on numerical attributes but also on nominal ones. The key feature of this method, called learning vector quantization and particle swarm optimization (LVQ + PSO), is the finding of a reduced set of classifying rules. This is possible because of the combination of a competitive neural network with an optimization technique.

These rules constitute a predictive model for credit risk approval. The reduced quantity of rules makes this method useful for credit officers aiming to make decisions about granting a credit. It also could act as an orientation for borrower’s self evaluation about her/his creditworthiness.

In spite of the fact that conducted tests showed no evidence of dependence between results and the initial size of the LVQ network, it is considered desirable to repeat the measurements using an LVQ network of minimum size and a version of variable population PSO to adequately explore the solution space in the future.

In the past decades, there has been an increase in consumer credit. Retail banking is a growing industry. Not only has there been a boom in credit card memberships, specially in emerging economies, but also an increase in small consumption credits. For example, it is very common in emerging economies that families buy home appliances on installments. In those countries, the association of a home appliance shop with a financial institution is usual, to provide customers with quick-decision credit line facilities. The existence of such a financial instrument aids to boost sales. This association generates conflict of interests. On one hand, the home appliance shop wants to sell products to all customers. Therefore, it is in its best interest to promote a generous credit policy. On the other hand, the financial institution wants to maximize the revenue from credits, leading to a strict surveillance of loan losses. Having a fair and transparent credit-granting policy favors a good business relationship between home appliances shops and financial institutions. One way of developing such a policy is to construct objective rules to decide to grant or deny a credit application.

Better credit decision rules generate enhanced risk sharing. In addition, it improves transparency in credit acceptance decisions, giving less room to arbitrary decisions.

This study develops a new method that combines a competitive neural network and an optimization technique. It was applied to a real database of a financial institution in a developing country.