An evolutionary approach to the delimitation of labour market areas: an empirical application for Chile

An evolutionary approach to the delimitation of labour market areas: an empirical application for Chile. Spatial Economic Analysis. Labour market areas (LMAs) are argued to represent a more appropriate policy framework than administrative units for the analysis of spatial labour market activity. This article develops LMAs for Chile by applying an evolutionary computation approach. This innovative approach defines LMAs through an optimization process by maximization of internal cohesion, subject to restrictions of minimum levels of self-containment and population. To evaluate the appropriateness of the LMAs, comparative analyses are performed between alternative delimitations based on different parameter configurations of the proposed method versus administrative boundaries and the most widely used method for official LMA delimitation, the travel-to-work areas method.     

Simulation-based pricing of convertible bonds

We propose and empirically investigate a pricing model for convertible bonds based on Monte Carlo simulation. The method uses parametric representations of the early exercise decisions and consists of two stages. Pricing convertible bonds with the proposed Monte Carlo approach allows us to better capture both the dynamics of the underlying state variables and the rich set of real-world convertible bond specifications. Furthermore, using the simulation model proposed, we present an empirical pricing study of the US market, using 32 convertible bonds and 69 months of daily market prices. Our results do not confirm the evidence of previous studies that market prices of convertible bonds are on average lower than prices generated by a theoretical model. Similarly, our study is not supportive of a strong positive relationship between moneyness and mean pricing error, as argued in the literature.     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

Determinants of knowledge-based entrepreneurship: an exploratory approach

We intend to further the research related to the factors that determine successful entrepreneurial endeavours by academic researchers, and thus put forth an exploratory model of Knowledge-Based Entrepreneurship (KBE). Given the lack of extant adequate indicators, a new scale was developed based on the most frequently cited constructs in the literature. A sample of 1,401 researchers from Portuguese universities was administered a questionnaire and the data collected permitted a validation with regards to the psychometric properties of the questionnaire, to see its applicability to the study. The findings suggest that the absence of a patenting history or start-up portfolio act as significant barriers to academic entrepreneurship. However, when the institutional strategy is to increase patenting and spin-off activities, the university should begin investing in creating a networking environment capable of reinforcing the researchers’ Social Capital. Observing the example of successful entrepreneurs motivates other researchers to consider the possibility of developing their own ventures. The Structural Equations Modelling (SEM) approach allowed for us to identify and measure the non-linear relationships that shape the core of KBE and influence the attainment of measurable outcomes aimed at encouraging entrepreneurship. A relatively high share of the variance of the dependent variables is explained by the model, ensuring their representativeness and contributing to the state-of-art of the knowledge in this research field.     

Assessing the economic impact of entrepreneurship on a regional economy using social accounting matrices: the case of Andalusia

This article analyses the impact that entrepreneurial activity has, from the economic point of view, on a regional economy (Andalusia), based on a Social Accounting Matrix linear model. Moreover, to measure entrepreneurship at regional level, it is defined what can be considered an entrepreneurial initiative company from a quantitative point of view. The results obtained, in terms of Production, GDP and job creation, show how entrepreneurship, in the case of Andalusia, contributes to the sustainability of the economy, its growth and, above all, the reduction of unemployment in the short term.     

Cognition,Social Impulse,and the Principle of Adaptation: Insights into the Peirce-Veblen Connection

This article seeks to offer insights into the connections between Charles S. Peirce and Thorstein B. Veblen regarding their understanding of the logic of scientific thought and cognition. In this sense, this work explores how both Veblen and Peirce dismissed the Cartesian notion of unmediated cognition and how they sought to depict cognition as a process. Furthermore, this article presents Peirce’s concept of “social impulse” and Veblen’s “principle of adaptation” as complementary perspectives on science and cognition that have strong evolutionary content.     

Determinants of heterogeneity in European credit ratings

In this study, we empirically analyze the determinants of heterogeneity in rating assessments across different segments of the European loan market. We conduct a benchmarking analysis using rating information on European corporate obligors from nine major Austrian banks that have a large share of foreign lending, particularly in the Central and Eastern European region. We provide evidence that, generally, overall heterogeneity among rating outcomes for foreign markets is higher than for domestic markets. Furthermore, we show that heterogeneity increases in transition economies and those markets where Austrian bank involvement is relatively low. Our evidence supports the hypothesis that heterogeneity in the assessment of credit risk is determined not only by the objective quality of information, which is deemed to be lower in transition economies, but also by the subjective access to information about obligors measured by the level of domestic bank involvement in the respective foreign market. Furthermore, we quantify potential effects on regulatory capital requirements.     

Factors Affecting Motivation to Transfer Training

This study examines the relationship of motivation to transfer skills and knowledge learned in a computer-based training programme with five groups of variables: individual or general attitudes, situational specific attitudes, reactions, learning, and work environment factors. Hierarchical regression analysis produced a model which explained 60.5% of the variance in motivation to transfer. Individual attitudes and environmental variables explained most of the variance in motivation. A number of mediated relationships were suggested.