Search results

The purpose of this paper is to analyse if citizens’ searches on the internet coincide with the services that municipal websites offer. In addition, the authors examine municipal webpage rankings in search engines and the factors explaining them.

The empirical study, conducted through a sample of Spanish city councils, contrasted if the information that can be found on a municipal website fits with citizens’ demands. This has been done by comparing the most-searched keywords with the contents of municipal websites.

A positive relationship between the supply and demand of municipal information on the internet has been found, but much can still be improved. Analysed administrations rank the basic data of the organisation, as well as some of the fundamental competences thereof, at the top in search engines, but the results are not entirely effective with some keywords still highly demanded by citizens, such as those related to employment or tourism. Factors explaining internet ranking include the number of pages of the municipal website, its presence in social networks and an indicator designed to measure the difficulty of ranking the municipal place-name.

The results obtained from this study provide valuable information for municipal managers. Municipal websites should not only include information in which citizens are interested, but achieve accessibility standards, have a responsive web design, and follow the rules of web usability. Additionally, they should be findable, which also requires improvement in terms of the design of the municipal website thinking in search engines, particularly in terms of certain technical characteristics that improve findability. A municipal website that wants to have a good positioning should increase its contents and attain the maximum degree possible of visibility in social networks.

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.

This paper investigates whether short-time work (STW) schemes were successful in their objective of maintaining employment and keeping workers employed within the same firms after the onset of the financial and economic crisis in 2008.

Spanish longitudinal administrative data has been used, making it possible to identify short-time work (STW) participation not only of workers but also of employers and allowing to know the future labour market status of participants and non-participants. Accordingly, treatment and control groups are defined, and Propensity Score Matching models estimated. The dependent variable is measured as the probability that an individual remained employed with the same employer in the future (one, two and three years) after implementation of a STW arrangement.

Our results suggest that treated individuals are about 5 percentage points less likely to remain working with the same employer one year later than similar workers, and this negative effect of participation increases over time. Thus, STW schemes would not have the assumed effect of preventing unemployment by keeping the participants employed relative to non-participants.

As our analysis is based on the comparison of the employment trajectories of participant and non-participant workers in firms that have used STW arrangements, our findings cannot be interpreted as the job saving effects of either macro or micro studies carried out previously.

The analysis carried out in the paper is complementary to the country-level and firm-level approaches that have been used in the empirical literature.

We adopt a worker-level approach. This is novel since no previous study has focused attention on the impact of STW participation on the subsequent labour market status of workers.

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.

The purpose of this paper is to examine the wage distribution in Spain, its evolution in recent years and the implications for increased wage dispersion. Accordingly, its attention focuses on the following issues: first, the paper investigates how personal, job and firm attributes affect the wages distribution and examine earnings differentials between and within groups of workers according to their individual and job characteristics throughout the conditional wage distribution; and second, the paper analyses whether the business cycle may influence the magnitude of these differentials.

Using administrative data from the Spanish Social Security and the Tax Administration National Agency, the paper estimates OLS and quantile regression (QR) models in order to assess the impact of personal, job and workplace attributes on between- and within-groups wage inequality.

Among other things, we find that, although the average wage has been increasing over time (until 2009), changes have not been uniform across the earnings distribution, making the dispersion fall during boom years but rise during downturn years. Furthermore, changes in the impacts of some characteristics (types of contract, education/qualifications, region and employer size) contributed to higher wage dispersion, while others (tenure) made the distribution more equal.

The analysis of the paper in novel in that it investigates whether wage differentials respond to the business cycle and what the source of that variation is. Moreover, it analyses wages differentials not only at the mean but also throughout the conditional earnings distribution, making it possible to assess the impact of these attributes on between- and within-groups wage inequality.

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.

This paper discusses the identification and measurement of intangible assets in the public sector. A discussion of intellectual capital theory identifies and classifies a number of intangible assets of relevance to the public sector. Multidimensional scaling and related multivariate techniques are proposed for their detection and quantification. The methodology is illustrated with a case study: the provision of council services through the Internet by Spanish municipalities. The technique identifies three intangible assets related to external structural capital: service, image and transparency. Five strategic groups reveal the different objectives, strategic use of the Internet, and actions taken by the various Spanish councils.

Using a Spanish administrative data set, the authors document the importance of recalls in labour market transitions. The authors focus on two issues: the interplay between the unemployment compensation system, the widespread use of fixed-term contracts and the layoff-rehire process; and the use of implicit contracts and, hence, the existence of cross-subsidisation between industries and firms within unemployment insurance. The purpose of this paper is to estimate a duration model with competing risks of exits in order to investigate the individual, job and firm attributes that influence the probabilities of leaving unemployment to return to the same employer or to find a new job. The findings indicate that recalls are very common and that, although they are widespread among the labour market, there are certain types of contract, firms and sectors which are more prone to use them.

The authors estimate a duration model with competing risks of exits in order to investigate the individual, job and firm attributes that influence the probabilities of leaving unemployment to return to the same employer or to find a new job with a different employer.

The findings indicate that recalls are very common and that, although they are widespread along the Spanish labour market, there are certain types of contract, firms and sectors which are more prone to use them.

Overall, the results suggest that there is room for the reform of the way the UCS is financed, in combination with changes in other labour market institutions.

The contribution of this paper is twofold. First, it documents the importance of rehirings in labour market transitions, in general, and in compensated unemployment, in particular, highlighting the use of different types of contract (in particular, temporary ones) and using a large data set for Spain. Second, it examines the interplay between the unemployment compensation system, the use of temporary contracts and the layoff-rehire process, focusing its attention on the likely cross-subsidisation of firms and sectors with respect to unemployment benefits . This constitutes a relevant research and policy issue since it has to do with the design of the unemployment compensation system.

The purpose of this paper is to report on research that models factors that favour the extension of e‐government. Hypotheses were proposed regarding the role of municipal resources, politicians and environment as elements that stimulate e‐government. It aims to argue that larger municipalities have more resources available to implement technological initiatives, that politicians receptive to the use of technology to communicate with citizens encourage e‐government, and that the local environment, as measured by citizens' wealth and business activity, is influential.

The proposed model was tested using data from 92 Spanish city councils. A structural equation model, estimated using partial least squares, was employed as an analysis technique.

The data supported the model, emphasising that municipal resources are the most important factor.

The researchers analysed only one year of data from one country.

The model suggested can be used to improve policy‐making and practice. The paper includes a brief case study of the Saragossa City Council, one of the leading councils in Spain, with regard to e‐government initiatives.

Many recent papers have studied factors explaining the extension of e‐government. These studies have analysed the influence of each of the factors separately. Here a structural equation model is proposed that allows analysis of the effects of various factors jointly. The variables employed have been modelled as latent variables, since it is shown that this is the most appropriate way to represent the complex reality of e‐government.