The relationships among social intelligence, emotional intelligence and cultural intelligence

This article examines three forms of intelligence: social intelligence (SI), emotional intelligence (EI) and cultural intelligence (CQ). The aim is to establish the relationship that exists between EI and CQ, and to clearly show how they is distinct, but related constructs, as well as subsets of SI. A series of models is developed to support the various propositions presented and to show the evolution of ideas which build to the final integrated model. This new model will impact future research and managerial use of these constructs, which is critical in order to advance the field. A discussion of limitations of this study and future research is also provided

What Is An Invention? A Review Of The Literature On Patentable Subject Matter

This work is a critical review of the literature on patentable subject matter. It examines the central feature of modern patent law—the “invention”—at an international and comparative level. As with most codified terms intended to have wide-ranging, prospective applicability, it is usually left undefined, or if defined, is usually drafted broadly and permissively. Despite the hallmarks of patentability (namely, novelty, inventiveness, and industrial applicability), some courts1 and academic commentators have questioned whether there still needs to be an invention in the first place, before one even considers its patentability

Canada\u27s Inadequate Legal Protection Against Industrial Espionage

Canadian law provides little protection for individuals and corporations against industrial espionage. Akin to the United States\u27 Economic Espionage Act of 1996-with its broad definition of trade secret and accompanying protections and remedies-we propose that Canada enact legislation at the federal level to remedy many of the deficiencies that arise in bringing a claim under the usual breach of confidence action

Oil and Gas Law: From \u3cem\u3eHabendum\u3c/em\u3e to Patent Law

This article outlines and addresses the specific patent issues affecting the oil and gas industry. In so doing, it argues that the business realities of the industry, coupled with its fast-paced environment, make it a perfect example of why the current patent prohibition against professional skills and business methods must be reformed

Canada\u27s Inadequate Legal Protection Against Industrial Espionage

Canadian law provides little protection for individuals and corporations against industrial espionage. Akin to the United States\u27 Economic Espionage Act of 1996-with its broad definition of trade secret and accompanying protections and remedies-we propose that Canada enact legislation at the federal level to remedy many of the deficiencies that arise in bringing a claim under the usual breach of confidence action

Modeling Socially Desirable Responding and Its Effects

The impact of socially desirable responding or faking on noncognitive assessments remains an issue of strong debate. One of the main reasons for the controversy is the lack of a statistical method to model such response sets. This article introduces a new way to model faking based on the assumption that faking occurs due to an interaction between person and situation. The technique combines a control group design with structural equation modeling and allows a separation of trait and faking variance. The model is introduced and tested in an example. The results confirm a causal nfluence of faking on means and covariance structure of a Big 5 questionnaire. Both effects can be reversed by the proposed model. Finally, a real-life criterion was implemented and predicted by both variance sources. In this example, it was the trait but not the faking variance that was predictive. Implications for research and practice are discussed

Easy computation of the Bayes Factor to fully quantify Occam's razor

20 pages plus 5 pages of Supplementary MaterialThe Bayes factor is the gold-standard figure of merit for comparing fits of models to data, for hypothesis selection and parameter estimation. However it is little used because it is computationally very intensive. Here it is shown how Bayes factors can be calculated accurately and easily, so that any least-squares or maximum-likelihood fits may be routinely followed by the calculation of Bayes factors to guide the best choice of model and hence the best estimations of parameters. Approximations to the Bayes factor, such as the Bayesian Information Criterion (BIC), are increasingly used. Occam's razor expresses a primary intuition, that parameters should not be multiplied unnecessarily, and that is quantified by the BIC. The Bayes factor quantifies two further intuitions. Models with physically-meaningful parameters are preferable to models with physically-meaningless parameters. Models that could fail to fit the data, yet which do fit, are preferable to models which span the data space and are therefore guaranteed to fit the data. The outcomes of using Bayes factors are often very different from traditional statistics tests and from the BIC. Three examples are given. In two of these examples, the easy calculation of the Bayes factor is exact. The third example illustrates the rare conditions under which it has some error and shows how to diagnose and correct the error