The range of devices that are capable of connecting to data networks has been on a rise in recent times. From the perspective of an administrator, controlling access to data networks, via these devices, usually includes the creation of separate login credentials. This leads to an administrative nightmare, from both the user and administrator’s point of view. This paper proposes a novel approach...

Within the energy research community, social sciences tends to be viewed fairly narrowly, often as simply a marketing tool to change the behavior of consumers and decision makers, and to “attack market barriers.” As we see it, social sciences, which draws on sociology, psychology, political science, business administration, and other academic disciplines, is capable of far more. A social scienc...

Intercloud notion is gaining a lot of attention lately from both enterprise and academia, not only because of its benefits and expected results but also due to the challenges that it introduces regarding interoperability and standardisation. Identity management services are one of the main candidates to be outsourced into the Intercloud, since they are one of the most common services needed by ...

It is becoming increasingly evident that enterprise computing is in the process of transformation from the traditional on-premise model to a model characterized by the delivery of infrastructure and software services by external providers on a pay-per-use basis. Most of the evidence about cloud computing adoption originates from studies conducted in North America and Western Europe and may not ...

This study investigated the association between mandatory disclosure and company value expressed in share price anticipation of earnings by using a sample of UK companies included in the FTSE 350 Index for a period of five years, from 2006 to 2010. A mandatory disclosure index was developed according to the IFRSs, which the companies listed in the stock market were obliged to adopt since 2005, ...

We investigate the possibility of web information discovery and extraction by means of a modular architecture analysing separately the multiple forms of information presentation, such as free text, structured text, URLs and hyperlinks, by independent knowledge-based modules. First experiments in discovering a relatively easy target, general company descriptions, suggests that web information ca...

Text mining and machine learning methodologies have been applied to biomedicine and business domains for new relationship and knowledge discovery. Company annual reports (or 10K filings), as one of the most important mandatory information disclosures, have remained untapped by the text mining and machine learning community. Previous research indicates that the narrative disclosures in company a...

on trust. Journal editors, reviewers and readers expect that a paper’s content reflects the opinions of the authors and all the available data. Recently, there has been concern that this trust may be undermined by the involvement of industry-paid writers in the preparation of publications (Bodenheimer, 2000). These professional writers are either employed directly by pharmaceutical companies or...

Political controversies associated with individual fishing quota (“IFQ”) programs have impaired IFQ implementation. As an alternative, U.S. fishermen have sought rationalization through private ordering. Their ability to do so is subject to U.S. antitrust law, under which agreements among competitors allocating resource outputs are typically considered “per se” violations. However, where (i) a ...

In the current context of miniaturization, micro-machining processes are in full expansion. One of them is micro-milling. Although micro-milling is based on the same principle as macro-milling, the phenomena of micro-cutting are not a simple scaling of macrocutting. A significant difference is the chip formation involving the phenomenon of minimum chip thickness. In micro-milling the depth of c...