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The primary goal of university education globally is to promote research, knowledge, and innovations instrumental for national development and societal transformation. In line with this goal, East African countries, namely Kenya, Uganda, and Tanzania have invested heavily in university education in the last 60 years since independence. The evidence of this is the increasing number of both private and public universities, and the number of students joining the institutions. While the expansion of university education is to be celebrated, it should not be taken for granted that this expansion indicates development. The purpose of this research was to assess the impact of university education on regional development in the three East African countries, that is, Kenya, Uganda, and Tanzania. Data were collected through historical analyses, database searches on electronic and printed sources, and interviews. The study found out that the three African countries have formulated the goals of education toward the achievement of development and that large budgets have been committed to educational expansion in the university in recent years. However, the impact of the universities in the development of the region expected through research and innovation is minimal because of major challenges that include expansion of access without adequate government funding; compromises quality; graduate unemployability and political interference; students’ unrest and strikes; weaknesses in earlier levels of education; regional, gender, and class inequalities; and misalignment of education, development, and contextual strengths. Proposed future strategies included the calls for governments to enhance regional consultations on development and education, the need for specialization in programs rather than duplication, enhancement of international collaborations and networking, rethinking the role of education in development within given contextual and environmental realities, and good governance and adequate funding of education.

This chapter provides an overview of the current state of research policy and research management and administration (RMA) in Kenya. Although RMA is an emerging field globally, it is not yet fully recognised in Kenya. The main objective of this chapter is to provide an overview of the vibrant research environment in Kenya, its most important challenges in the field of management and administration of research, and how some Kenyan Universities are dealing with them.

The findings in this chapter are based first on a research policy documents analysis and on literature review. In a second phase, qualitative data were collected through desk-based research and informant questionnaires and interviews.

In the conclusions, concrete suggestions are formulated that could support the enrichment of the research environment, find solutions for RMA-related challenges, but also lead to the development and establishment of RMA as a profession in the country.

The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities, enterprises, and governments. Second, startups are better suited to develop innovation during crises or periods of low growth as experienced at the moment. Based on these aspects and drawing on the constructs of the triple helix, this study analyzes the influence between the characteristics of the actors on the quality of the startup ecosystem from a global view.

The study examines the cross-section data of 35 countries between 2017 and 2018 and applies the partial least squares structural equation modeling (PLS-SEM) for assessing the relationships between the triple helix on the quality of the startup ecosystem on a country-level.

The findings suggest that each actor of the triple helix individually does not positively affect the quality of the startup ecosystem. Yet, when analyzing the actors jointly by creating a second-order latent variable (i.e. triple helix), the study found out that in this way, the triple helix construct has a positive effect on the quality of the startup ecosystem.

Although a large body of prior literature indicates the importance of generating interrelationships among the different entities involved in ecosystems, few studies provide empirical evidence from a global perspective of the need for these entities to act in an overlapping manner. The present study supports previous research and reinforces the importance of the triple helix for a more innovative environment.

This paper aims to develop a conceptual framework as a valuable investigative tool for future empirical studies examining stakeholders’ interactions within a high-performance computing (HPC) service ecosystem and identifying the enablers for better value co-creation under various service provisioning contexts.

This conceptual paper follows a theory adaptation research design that systematically examines the literature on a substantive topic encompassing HPC technology adoption and usage by European small and medium-sized enterprises (SMEs). Furthermore, it introduces theoretical perspectives from service innovation research as its methodological approach (method theory) to develop a theoretical framework for value co-creation within an HPC service ecosystem.

The conceptual framework presented in this paper identifies the critical resource elements of SMEs, which can potentially be integrated with other stakeholders’ resources and complement the limited internal resources of SMEs for enhanced value co-creation within an HPC service ecosystem.

The conceptualisation of an HPC service ecosystem and the potential of value co-creation through integrating stakeholders’ resources, presented in this paper, underscore further empirical research in this direction.

Findings from this paper can inform European policymakers for regional development to frame regional strategies and policies that enable SMEs to better uptake HPC services. Service providers can revisit their business models to reconfigure their organisational resources for enhanced value proposition and co-creation.

This study advances the agenda of transformative service research that aims uplifting changes and societal well-being through a more inclusive and sustainable value co-creation among a wider set of stakeholders within the service ecosystem.

The paper addresses an under-investigated research gap by examining SMEs’ adoption of HPC services and opportunities for higher value co-creation using a service ecosystem approach based on multi-actor interaction, collaboration and resource integration.

The nexus between sustainable agri-food production and food security outcomes of farm households in sub-Saharan Africa is attracting policy attention. This study analyzes the effects of crop diversity on the incidence of food scarcity, dietary diversity, and the sale and consumption of own crops.

The study uses panel data collected in 2015 and 2018 on a randomly selected sample of 2553 households from 49 villages in northern Ghana. The study employed a fixed effects modeling approach in the empirical analysis.

The study finds that crop diversity is positively associated with better dietary diversity, reduced hunger, lower food expenditure, and higher consumption of own produce. The results show positive effects of crop diversity on the total harvested output and sale of agricultural production. Whilst sales improved sustainable food and nutrition security by providing purchasing power to buy nutritional inputs in the market, consumption of own produce rather improved food availability by reducing food scarcity and malnutrition.

Crop diversity is one of the pathways for promoting sustainable agri-food production systems to ensure the food and nutritional security of vulnerable populations and promote biodiversity to achieve environmental goals in sub-Saharan Africa. Crop diversity reduces food expenditure and raises rural incomes through improved outputs and sales, which empowers farm households to diversify their dietary options to be able to overcome incidences of hunger and malnutrition in periods of food scarcity.

The present study improves the understanding of sustainable agri-food production through crop diversity and its implications on food and nutrition security outcomes. The panel data and fixed effects modelling approach address the endogeneity problem between crop diversity and household tastes and preferences.

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

Based on signaling theory, this paper aims to explore the impact of supply chain transparency (SCT) on firms' bank loan (BL) and supply chain financing (SCF) in the context of voluntary disclosure of supplier and customer lists.

Based on panel data collected from Chinese-listed firms between 2012 and 2021, fixed-effect models and a series of robustness checks are used to test the predictions.

First, improving SCT by disclosing major suppliers and customers promotes BL but inhibits SCF. Specifically, customer transparency (CT) is more influential in SCF than supplier transparency (ST). Second, supplier concentration (SC) weakens SCT’s positive impact on BL while reducing its negative impact on SCF. Third, customer concentration (CC) strengthens the positive impact of SCT on BL but intensifies its negative impact on SCF. Last, these findings are basically more pronounced in highly competitive industries.

This study contributes to the SCT literature by investigating the under-explored practice of supply chain list disclosure and revealing its dual impact on firms' access to financing offerings (i.e. BL and SCF) based on signaling theory. Additionally, it expands the understanding of the boundary conditions affecting the relationship between SCT and firm financing, focusing on supply chain concentration. Moreover, it advances signaling theory by exploring how financing providers interpret the SCT signal and enriches the understanding of BL and SCF antecedents from a supply chain perspective.

This paper combines prospect theory (PT) and the technology acceptance model (TAM) proposing that technology anxiety (TA), risk averseness (RA), concern and resistance to use inhibit technology acceptance, while trust, social influence (SI) and compatibility are enablers to technology acceptance, particularly in the context of consumer adoption of retail technologies during crises.

A review of PT and TAM literature was conducted to develop a model which considers the impact of inhibitors and enablers on retail technology acceptance.

This investigation establishes a theoretical model of mid-crisis retail technology adoption behavior that can be tested quantitatively. Several propositions regarding relationships between proposed inhibitors, enablers and TAM are presented, as well as implications for future research.

This investigation further integrates PT and TAM, proposing that PT is an appropriate framework to investigate inhibitors and enablers of retail technology acceptance during crises.

The changing environment of today’s organizations creates an atmosphere ripe for emotions. This ebb and flow of emotions need to be managed to facilitate positive outcomes such as job satisfaction. This paper aims to provide evidence that emotional intelligence directly impacts one’s satisfaction at work. This paper attempts to go beyond these higher-order findings to examine the dimensional aspects of emotional intelligence and the impact each one has on job satisfaction.

Using a quantitative survey conducted among 427 US-based workers, this paper tests a disaggregated emotional intelligence model and its hypothesized relationships with job satisfaction through structural equation modeling (SEM). Additional analysis includes confirmatory factor analysis (CFA) and a two-stage common method variance assessment.

The results confirmed the positive impact of the dimensions of emotional intelligence on job satisfaction. However, with interactive effects in place, the results also found signs of reciprocal suppression and could not confirm that all four emotional intelligence dimensions significantly and positively related to job satisfaction.

These findings are significant in that they are among the first to elaborate on the dimensions of emotional intelligence and their role in the improvement of one’s satisfaction at work. Further, these findings legitimize the use of the theoretical higher-order model of emotional intelligence in lieu of investigating its dimensional aspects.