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Building on the resource-based view of the firm and complex systems theory, we argue that the effective utilization of knowledge-intensive teamwork (KITwork) can be a source of sustained competitive advantage for firms that pursue a variety of strategies and compete in a variety of industries. KITwork is a multi-dimensional, multi-level social process that promotes knowledge flows within and between organizations. Through KITwork, the knowledge resources of individual employees are transformed into a capability that contributes to the effectiveness of knowledge-based organizations. After introducing and explaining the concept of KITwork, we explore the challenges that organizations must address in order to design HRM systems that support and facilitate KITwork.

This chapter evaluates the readiness of the higher education system to contribute to the competitiveness of African countries in the knowledge economy. Using institutions of higher learning in Kenya and Uganda as case studies, the study demonstrates that the higher education system in Africa is ill-equipped to fulfill the role of knowledge production for the advancement of African economies. The chapter proposed promising ways through which higher education in the region can play a more fulfilling role to the global knowledge economy through the formation of relevant skills for the growth of African economies. In an era where knowledge assets are accorded more importance than capital and labor assets, and where the economy relies on knowledge as the key engine of economic growth, this chapter argues that higher education institutions in Africa can assist in tackling the continent’s challenges through research in knowledge creation, dissemination, and utilization for improved productivity. These institutions need to engage in design-driven innovation in the emerging knowledge economy. To enhance their contributions toward human capital development and knowledge-intensive economies in the region, it is imperative to employ public-private initiatives to bridge and address various challenges and gaps facing universities and research institutions in Africa.

Introduction – In recent years, there has been a growing interest in innovation, not only in developed countries but also in developing countries. However, there has been limited literature for the developing countries.

Purpose – The literature on national innovation systems (NIS) mainly consists of case studies or qualitative researches aiming to explain the patterns of innovation, while the quantitative analysis are limited in explaining the innovation capability and efficiency of innovation. This study is unique in a sense that it compares the innovation efficiencies of the EECA countries. This chapter aims to measure the efficiency of NIS via data envelopment analysis (DEA) method.

Methodology – DEA is used to consider a sample of 18 Eastern European and Central Asian (EECA) countries and Turkey. One of the main issues is to determine the input and output variables because the available data for some of these countries were limited. Therefore, research and development expenditure (% of GDP), government expenditure on education, total (% of GDP), imports of goods and services (% of GDP) and foreign direct investment, net inflows (% of GDP) were determined as input variables. Output variables were as follows; patent applications both residents and non-residents, high-technology exports (% of manufactured exports) and scientific and technical journal articles.

Findings – Based on the key findings it can be noted that Kazakhstan, Turkey, Latvia and Uzbekistan are more efficient in innovation performance compared to other EECA countries. Throughout the results of the DEA, these countries may develop new policies about their innovation systems to reach out the higher performance.

Taggar, Sulsky, and MacDonald have presented an integrated model that links organizational strategy, the environment, and human resources management. This commentary analyzes their model, identifying a number of missed opportunities that are not adequately integrated into the model. Moreover, we propose two directions for expanding their model, including a consideration of social network theory and the global supply chain. By expanding Taggar et al.'s model to consider social networks and the supply chain, we believe that it will better capture the complexity of contemporary organizations while supporting the fecund ideas that Taggar et al. have proposed.

Purpose – The purpose of the chapter is to provide an analytical overview of information research in the United Kingdom and of the role of the Research Assessment Exercises (RAE) in shaping the form and structure of that research.

Design/methodology/approach – The approach adopted is a detailed content analysis of the submissions made to the last UK RAE. This analysis is carried out in relation to four broad subject categorisations, and specific analysis of accounts of research carried out in the departments and research groups.

Findings – The RAE have played a key role in promoting research specialisms in library and information studies (LIS) research in the United Kingdom. The former general approach to research in information studies has been replaced by more focused research activities carried out in a variety of research groups spread across a diverse range of disciplines and departments, from LIS, to business and management, information systems, and computing and engineering.

Research implications – The prospects for general LIS research departments may be increasingly limited, as research becomes concentrated in sub-groups within larger organisational structures, subverting both departmental lines and conventional subject boundaries.

Originality/value – This overview provides a novel synthesis of information research in the United Kingdom in relation to four broad categories of research in information studies and information science, information management and social informatics, information systems and information interaction, and social computing and computational informatics. The account brings together a fragmented field of research in a compact and intelligible form.