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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.

This paper aims to postulate that countries which are either geographical or cultural islands, (defined as countries that are surrounded by neighboring countries that do not speak the same language), tend to experience higher rates of economic growth, all other things being equal.

Using historical macroeconomic data for a large number of countries and statistical growth regressions that include island dummy variables as explanatory variables, this paper shows that there is econometric evidence supporting the theory of the island factor.

The findings highlight the importance of a cohesive society with a strong sense of identity while being economically open to global competitive forces. This island mindset acts as a catalyst for enhanced economic growth.

To the best of the authors' knowledge, the island factor is a new and untested hypothesis. Moreover, the paper contributes to the literature on cultural diversity and growth by showing that cultural diversity among neighboring countries is an important factor for economic development.

The purpose of this paper is to investigate the effects of hydrogen humidity on the performance of air-breathing proton exchange membrane (PEM) fuel cells.

An efficient mathematical model for air-breathing PEM fuel cells has been built in MATLAB. The sensitivity of the fuel cell performance to the heat transfer coefficient is investigated first. The effect of hydrogen humidity is also studied. In addition, under different hydrogen humidities, the most appropriate thickness of the gas diffusion layer (GDL) is investigated.

The heat transfer coefficient dictates the performance limiting mode of the air-breathing PEM fuel cell, the modelled air-breathing fuel cell is limited by the dry-out of the membrane at high current densities. The performance of the fuel cell is mainly influenced by the hydrogen humidity. Besides, an optimal cathode GDL and relatively thinner anode GDL are favoured to achieve a good performance of the fuel cell.

The current study improves the understanding of the effect of the hydrogen humidity in air-breathing fuel cells and this new model can be used to investigate different component properties in real designs.

The hydrogen relative humidity and the GDL thickness can be controlled to improve the performance of air-breathing fuel cells.

Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.

Methods/approach – The authors describe a customized web-crawler that was developed for the purpose of collecting, classifying, and interpreting extremist content online and on a large scale, followed by an overview of a relatively novel machine learning tool, sentiment analysis, which has sparked the interest of some researchers in the field of terrorism and extremism studies. The authors conclude with a discussion of what they believe is the future applicability of sentiment analysis within the online political violence research domain.

Findings – In order to gain a broader understanding of online extremism, or to improve the means by which researchers and practitioners “search for a needle in a haystack,” the authors recommend that social scientists continue to collaborate with computer scientists, combining sentiment analysis software with other classification tools and research methods, as well as validate sentiment analysis programs and adapt sentiment analysis software to new and evolving radical online spaces.

Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.

Over the past decade, the U.S. workforce has become increasingly diverse. In response, scholars and practitioners have sought to uncover ways to leverage this increasing diversity to enhance business performance. To date, research evidence has failed to provide consistent support for the value of diversity to organizational effectiveness. Accordingly, scholars have shifted their attention to diversity management as a means to fully realize the potential benefits of diversity in organizations. The principal aim of this chapter is to review the current wisdom on the study of diversity climate in organizations. Defined as the extent that employees view an organization as utilizing fair personnel practices and socially integrating all personnel into the work environment, diversity climate has been proposed as a catalyst for unlocking the full value of diversity in organizations. During our review, we discuss the existent individual- and aggregate-level research, describe the theoretical foundations of such work, summarize the key research findings and themes gleaned from work in each domain, and note the limitations of diversity climate research. Finally, we highlight the domains of uncertainty regarding diversity climate research, and offer recommendations for future work that can enhance knowledge of diversity climate effects on organizational outcomes.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

Since the implementation of the New Cooperative Medical Scheme (NCMS) in 2003, this program has experienced rapid growth. Even so, little is known about the association between NCMS expansion and labor force supply among rural residents in China. The purpose of this paper is to examine the effects of the NCMS on labor force supply for rural Chinese populations.

Using data from the China Health and Nutrition Survey (CHNS), a difference-in-differences (DD) approach is employed to estimate the impact of NCMS expansion on labor supply outcomes, including hours of worked in agriculture, off-farm labor force participation, not working, and weeks off due to illness. A number of falsification tests are conducted to identify whether the assumption of common trends of DD analyses is satisfied. The robustness of results is checked through additional estimation, including panel fixed effects and instrumental variable approach.

Results show that the NCMS expansion has a positive effect on the hours of worked in agriculture and off-farm labor force participation, and reduces the likelihood of not working and weeks off due to illness. The effect on hours of agricultural production is larger for male adults, those aged 50 or more, and individuals in low-income families. This study demonstrates the importance of potential health improvements from public health insurance in promoting rural residents’ labor productivity.

Studies concerning the effects of public health insurance on labor supply in developing countries remain limited. The findings of this study provide important insights into how public health insurance programs, like the NCMS, may affect patterns of labor supply among rural residents, and can help policymakers improve health policies aimed to reduce the number of uninsured farmers while maintaining high levels of labor supply, productivity, and health status among the most vulnerable of populations.

The term ‘obsolescence’ occurs frequently in the literature of librarianship and information science. In numerous papers we are told how most published literature becomes obsolete within a measurable time, and that an item receives half the uses it will ever receive (‘half‐life’) in a few years. ‘Obsolescence’ is however very rarely defined, and its validity, interest, and practical value are often assumed rather than explained. Before reviewing studies on ‘obsolescence’, therefore, it is necessary to look at the concept and to identify the reasons why it should be of interest.

Purpose – This chapter provides a roadmap for future research and evaluation on violent extremist risk analysis.

Methodology/Approach – The authors synthesize the lessons learned from process evaluations of general violence risk assessment, bias research, survey designs, linguistic analyses, and spatial analyses, and apply them to the problem of violent extremist risk assessment and management.

Findings – The next generation of violent extremist risk assessment research will necessitate a focus upon process, barriers to effective implementation and taking the human element of decision-making into account. Furthermore, the development of putative risk factors for violent extremist attitudes and behaviors necessitates a movement toward more survey-based research designs. Future risk assessment processes may additionally take language and spatial components into account for a more holistic understanding.

Originality/Value – Based on existing literature, there is a paucity of research conducting process evaluations, survey designs, linguistic analyses, and spatial analyses in this area. The authors provide several roadmaps, assessments of respective strengths and weaknesses, and highlight some initial promising results.