Enterprise Web Accessibility Levels Amongst the Forbes 250: Where Art Thou O Virtuous Leader?

The research team measured the enterprise web accessibility levels of the Forbes 250 largest enterprises using the fully automatic accessibility evaluation tool Sortsite, and presented the compliance of the evaluated websites to WCAG 1.0, WCAG 2.0 and Section 508 accessibility levels. Given the recent attention to organizational leaders having ethical duties towards their dedicated employees, we propose that ‘societal citizenship behaviour’ concerns ethical duties of organizational leaders towards society in general and in particular to those who have less means to assert their needs. In effect, we found enterprise website accessibility levels to be in need of significant improvement. An interpretation of a positive path forward to better enterprise website accessibility levels is put forth based on a focus-group interaction and using BNML—a novel Business Narrative Modelling Language.     

The Economics of Director Heterogeneity

We investigate the potential costs and benefits of firms constituting a heterogeneous pool of directors relative to more homogeneous boards. We measure director heterogeneity along six separate dimensions and divide board heterogeneity into occupational and social components. Our empirical analysis indicates that corporate complexity and managerial control exhibit significant influence on board heterogeneity. Using the heterogeneity of the county population of the firm's headquarters as an instrument, we also find that investors place valuation premiums on heterogeneous boards in complex firms but discount heterogeneity in less complex firms. Overall, our analysis indicates greater heterogeneity may not necessarily improve board efficacy.     

Mean square error estimation in multi-stage sampling

Summary: Suppose for a homogeneous linear unbiased function of the sampled first stage unit (fsu)-values taken as an estimator of a survey population total, the sampling variance is expressed as a homogeneous quadratic function of the fsu-values. When the fsu-values are not ascertainable but unbiased estimators for them are separately available through sampling in later stages and substituted into the estimator, Raj (1968) gave a simple variance estimator formula for this multi-stage estimator of the population total. He requires that the variances of the estimated fsu-values in sampling at later stages and their unbiased estimators are available in certain `simple forms'. For the same set-up Rao (1975) derived an alternative variance estimator when the later stage sampling variances have more ‘complex forms’. Here we pursue with Raj's (1968) simple forms to derive a few alternative variance and mean square error estimators when the condition of homogeneity or unbiasedness in the original estimator of the total is relaxed and the variance of the original estimator is not expressed as a quadratic form.  We illustrate a particular three-stage sampling strategy and present a simulation-based numerical exercise showing the relative efficacies of two alternative variance estimators. Received: 19 February 1999     

The impact of sourcing enterprise system use and work process interdependence on sourcing professionals’ job outcomes

We examine sourcing professionals’ work context to conceptualize how they use sourcing enterprise systems (SESs) and to understand when SES use results in positive/negative job outcomes. We differentiate between SES use for supplier selection and supplier governance, identify sourcing professionals’ work process interdependence as a moderator for the impacts of SES use on job satisfaction, and suggest job satisfaction mediates the impacts of SES use on job performance. We conducted a field study of sourcing professionals’ SES use at one of the largest consumer product companies in the United States, which has implemented an SES to innovate its sourcing professionals’ work processes. Based on our analysis of the survey and qualitative data we collected, we found the impacts of both types of SES use (1) to be negative on job satisfaction when work process interdependence was high, (2) to be positive on job satisfaction when work process interdependence was low, and (3) to be mediated by job satisfaction for job performance. We discuss the implications of our findings for the literature at the intersection of information systems and operations management as well as for the information technology enabled innovation of sourcing processes and, more generally, complex business processes.     

Returns to education and wage equations

The paper shows why considering a number of education-dependent covariates in a wage equation decreases the coefficient of education in that equation. This result is illustrated empirically with a meta-analysis for Portugal. The education coefficient decreases when covariates are used that can be considered post-education decisions; on the other hand, it is independent of sample size, tenure and whether hourly or monthly wages are used. These results support the use of a simple specification of the Mincer equation for the study of the total returns to education.     

Perceptions of poverty attributions in Europe: a multilevel mixture model approach

The perception of the causes of poverty has long been recognized as a very important factor in the broader study of this social phenomenon. This study covers 15 European Union countries and considers three types of poverty attributions: individualistic, societal, and fatalistic. The individualistic view perception believes the poor are responsible for their situation, the societal perspective blames society for poverty and the fatalistic view considers poverty to be the result of bad luck or fate. A multilevel mixture model with three clusters of countries and six clusters of individuals was identified. Despite the generalization of the social explanations of poverty at the individual or micro level, there are also groups that emphasize more individualistic explanations, blaming the poor for their condition. At the country or macro level, the most developed cluster believes in the individualistic and fatalistic causes of poverty, whereas the least developed clusters explain poverty based on the injustices of society. There is diversity in the way these countries perceive poverty.