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Many indicators attempt to measure the social performance of a company from different perspectives. Grounded in stakeholder theory, this paper aims to propose capitalising the economic value distributed annually to society over a period of time, hereafter called a firm’s cumulative contribution to society (CCS). This can be done by including everything that stakeholders value; for example, payments of taxes, remuneration of employees, payments to suppliers and creditors, donations, dividends, research and development expenses and efforts to improve the environment.

First, this paper makes a methodological proposal about how to calculate the CCS and discusses potentials and shortcomings. Then, a set of hypotheses are formulated about the firm characteristics and country attributes that make the most positive contribution to society such as business models, financial performance, a country’s human development, income equality and the extent of its shadow economy. The authors also argue that a company that originally contributes to society will continue to do so because of the structural inertia faced by organisations. The hypotheses were validated with an empirical study conducted with a sample of 9,276 new-born European companies.

The most significant contributors to society are large, profitable companies, which are leveraged but solvent, with high asset turnover and high-profit margins and which are productive and pay high wages. Unfortunately, this win-win situation describes a small percentage of the explained variance, which can explain why social and financial performance sometimes do not go hand-in-hand. The paper identifies features of other types of companies that contribute to society, suggesting criteria for socially responsible investors. Country development favours the cumulative contribution that firms make to society.

Most accounting systems do not collect all the information necessary to calculate a refined version of the indicator such as percentage of purchases from local suppliers, percentage of salaries for executives and disabled employees and percentage of financing from socially responsible financial entities. The authors encourage modification of the accounting systems to include those aspects.

This paper identifies several types of companies that contribute the most to society from a modest set of financial indicators. Socially responsible investors can estimate their contribution to society, devising new investment criteria.

The paper identifies several types of companies that contribute the most to society from a modest set of financial indicators. Socially responsible investors can estimate their contribution to society, devising new investment criteria.

The paper makes two contributions, one methodological and the other empirical. By applying a financial methodology, the authors propose to capitalise the contributions of a company over a period of time. The empirical study identifies both firm and country characteristics that explain CCS.

The purpose of this paper is to explore the determinants of online corporate reporting in three Latin American emerging markets, Argentina, Mexico and Chile, providing further evidence to test the mediation role of web presence development in the relationship between these determinants and e-disclosure. Web presence development measures the firm's efforts to archive web visibility, web usability and convenience.

Based on a content analysis of corporate web sites, the extent of the information is measured by three internet disclosure indexes. Four constructs which are considered key drivers of a firm's disclosure strategy are identified. Structural equation modelling (SEM) was used to assess the research model. The sample contains publicly available data on listed companies’ web sites.

The results reveal that the development of a firm's presence on the internet is as important as its characteristics in determining corporate transparency and in mediating the relationship between firm size and cross-listing and e-disclosure.

Companies should be aware that investors are attaching increasing importance to corporate transparency. Consequently, managers should put more effort into improving web sites, which would increase corporate visibility and open up a direct communication channel with their stakeholders. They should also take advantage of web sites to provide information, above and beyond that required by local law. Not only do current and potential investors find this useful, it also increases their confidence in the company.

This paper proposes an integrative model of the determinants of the level of online corporate reporting using constructs that reflect their multidimensional nature. A non-financial latent variable for web presence on the internet is proposed as a mediator in the relationship between e-disclosure and traditional determinants. The SEM approach simultaneously examines the direct and indirect relationships between the proposed latent variables and how these relationships influence the level of e-disclosure.

This paper aims to present research on how and why microfinance institutions (MFIs) disclose financial and social information on the internet. Legitimacy theory provides the theoretical framework.

The empirical study analysed factors influencing MFIs to publish financial and social information on the internet. The model was tested using regression analysis. The sample consisted of publicly available data from the web sites of 273 MFIs.

The study found that MFIs' internet presence overall is scarce and that greater levels of disclosure are needed. It was found that large MFIs with a high degree of public exposure on the internet disclose greater amounts of information on their web sites than smaller MFIs with a low degree of public exposure. It was also found that for‐profit MFIs disclose more financial information on their web sites, while non‐profit non‐governmental organisations (NGOs) reveal more social information.

MFIs should be proud to tell the world what they are doing. MFI managers need to remember that transparency increases funds from donors. Donors are mostly based in developed countries, so the internet plays a key role in disclosure and attracting potential donors. Thus, managers of MFIs are encouraged to increase disclosure levels – especially on the internet.

Academic research into the factors that influence MFIs' internet disclosure is still scarce. This is an important area of study because full disclosure offers enormous benefits. Since MFIs have a social mission, they are legitimated in the eyes of their donors by disclosing social information. Since they are also financial institutions, they have to show that they use the funds they receive efficiently.

A structural equation model is proposed to explain internet reporting by banks. The model relates three constructs of financial institutions (size, financial performance, and internet visibility) to their final influence on internet information disclosure (e‐transparency).

This paper's proposed model analyses a sample of Spanish financial institutions using publicly available data. The model is tested using partial least squares.

A positive and statistically significant relationship has been found between size, financial performance, internet visibility, and e‐transparency, with direct and indirect effects. The study shows that size accounts for most of the variance. Size has a positive effect on e‐transparency, financial performance, and internet visibility. However, the direct effect of financial performance and internet visibility on e‐transparency is small.

The researchers have analysed only one year of data from one country and one sector. The direction of cause and effect assumed in the model is a logical one, but statistical methods cannot prove causality, only association. Even though any bank can disclose its financial information online for a very low cost, building a robust, interactive web site requires major resources. This gives larger banks a value added advantage.

The paper examines the relationship between size, financial performance, internet visibility and e‐transparency using a structural model. Although structural models are commonly used in many scientific disciplines, they have not yet been applied in disclosure research.