The global information technology report 2014

Executive summary When The Global Information Technology Report (GITR) and the Networked Readiness Index (NRI) were created more than 13 years ago, the attention of decision makers was focused on how to develop strategies that would allow them to benefit from what Time Magazine had described as “the new economy”: a new way of organizing and managing economic activity based on the new opportunities that the Internet provided for businesses. At present, the world is slowly emerging from one of the worst financial and economic crises in decades, and policymakers, business leaders, and civil society are looking into new opportunities that can consolidate growth, generate new employment, and create business opportunities. Information and communication technologies (ICTs) continue to rank high on the list as one of the key sources of new opportunities to foster innovation and boost economic and social prosperity, for both advanced and emerging economies. For more than 13 years, the NRI has provided decision makers with a useful conceptual framework to evaluate the impact of ICTs at a global level and to benchmark the ICT readiness and usage of their economies

Regional innovation systems in EU-10: A typology and policy recommendations

Presented at the GLOBELICS 6th International Conference 2008 22-24 September, Mexico City, Mexico.This paper depicts a typology of regions, capturing the diversity of regional innovation systems across the EU-10 (the enlargement member States). Following the Regional Innovation Systems (RIS) literature, our research selects 21 variables related to the ability of a region to generate and absorb knowledge, and its capacity to transform R&D into innovation and economic growth. Based on the results of principal components and cluster analyses, we identify 3 types of regional innovation systems where regions group together according to their sectoral specialisation, technological and economic capacity, and performance. For each group a number of policy recommendations are suggested, contingent to their local-specific characteristics. Moreover, the paper allows us to identify similar and more advanced regions so as to facilitate comparisons and benchmarking between homogeneous regions, thus enabling more accurate policy learning. In short the contribution of this paper is twofold. In the first place it provides the first RIS typology for the EU-10 regions completed using a large number of variables. Secondly, the conclusions obtained from the analysis may be used to lead policymakers' actions in the field of regional innovation policy in the EU 10, which groups the less developed countries in the European Union from the economic and technological points of view. Moreover, policy implications in this paper could give certain insights useful to policy makers in other parts of the world (always with a need to adapt them and take into account local social and economic conditions, institutions and development paths)

The representation of voluntourism in search engines: The case of South Africa

© 2015, © 2015 Government Technical Advisory Centre (GTAC). This paper responds to the paucity of research on the linkages between voluntourism and digital technology and seeks to understand the online representation of the phenomenon in a developing context. In particular, the researchers investigate the so-called ‘online domain’ of voluntourism in South Africa. The researchers collected a series of web results from search engines and analysed the presence of traditional and social media websites, the most relevant presented topics, and the type of argumentation found. Results identify the context and representation of voluntourism as it transpires virtually. This will contribute to the understanding of the interplay between voluntourism and digital technology, with specific emphasis on web presence. Ultimately, results will shed light on how digitally accessible voluntourism is in South Africa and will set the basis for future investigations

Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance

Innovations, be they radical new products or technology improvements are widely recognized as a key factor of economic growth. To identify the factors triggering innovative activities is a main concern for economic theory and empirical analysis. As the number of hypotheses is large, the process of model selection becomes a crucial part of the empirical implementation. The problem is complicated by the fact that unobserved heterogeneity and possible endogeneity of regressors have to be taken into account. A new efficient solution to this problem is suggested, applying optimization heuristics, which exploits the inherent discrete nature of the problem. The model selection is based on information criteria and the Sargan test of overidentifying restrictions. The method is applied to Russian regional data within the framework of a log-linear dynamic panel data model. To illustrate the performance of the method, we also report the results of Monte-Carlo simulations

The competitiveness of China's leading regions: benchmarking their knowledge-based economies

China's spectacular economic growth has been spatially uneven, with much development occurring in eastern coastal areas. In particular, three metropolitan 'super-regions' have become China's most competitive knowledge-based economies, consisting of the Pearl River Delta, the Yangtze River Delta, and the Bohai Gulf Region. This paper benchmarks the competitiveness of these regions, with a view to exploring which region is best positioned to become the most dominant knowledge-based economy over time. Through the theoretical lens of dynamic comparative advantage, it is shown that each region has hugely increased its competitiveness through improvements in the capacity to absorb and diffuse knowledge. It is further shown that due to multi-dimensional advantages the Yangtze River Delta, incorporating the Shanghai metropolis, is best positioned to become the dominant hub of China’s future knowledge economy. It is concluded that China’s leading regions will require further economic policy adjustments in order to secure their future competitiveness

Regional clusters of innovative activity in Europe: Are social capital and geographical proximity the key determinants?

Finding proper policy instruments to promote productivity growth features prominently on the Lisbon agenda and is central in many national as well as European policy debates. In view of the increased mobility of high-skilled workers in Europe, ongoing globalization and increased interregional and international co-operation, location patterns of innovative activity may be subject to drastic changes. A proper understanding of location patterns of innovative outputs can enhance the effectiveness and efficiency of national and European innovation policies. Building on the literature on the knowledge production function the aim of this paper is to explain the observed differences in the production of innovative output across European regions. Our main research question is whether geographical proximity and social capital are important vehicles of knowledge transmission for the production of innovative output in Europe. Several other variables are used to control for structural differences across European regions. We find support for the hypothesis that both social capital and geographical proximity are important factors in explaining the differences in the production of innovative output across European regions

SOFTWARE PROCESS IMPROVEMENT: AWARENESS, USE, AND BENEFITS IN CANADIAN SOFTWARE DEVELOPMENT FIRMS

Since 1982, the software development community has been concerned with the delivery of quality systems. Software process improvement (SPI) is an initiative to avoid the delivery of low quality systems. However, the awareness and adoption of SPI is low. Thus, this study examines the rate of awareness, use, and benefits of SPI initiatives in Canadian software development firms. Using SPSS as the analytical tool, this study found that 59% of Canadian software development firms are aware of SPI programs and 43% of employees use a form of SPI programs to develop software products. Although the sample size is small and the results cannot be generalized, the sample firms that use SPI programs reported an improvement in software product quality as the greatest benefit. These findings confirm the importance of SPI programs as a means of producing higher-quality software products, which can increase the likelihood of software companies winning global contracts