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This study aims at advancing the understanding of University-Industry Collaboration (UIC) by proposing an adapted conceptual model for comprehensive contextual analysis taking industry perspective and identifying effective mechanisms for stimulating UIC in sub-Saharan Africa (SSA).

This study was designed as a multicase qualitative study. Data were collected through interviews of focus groups representing 26 agro-processing companies operating in Rwanda. The process consisted of two sessions evaluating the current collaboration patterns, and two sessions identifying the desired future and the mechanisms to realize it. Data were analyzed using ATLAS.ti software with the grounded theory techniques.

Findings indicate that current interactions are unidirectional and focus on educational collaboration. Results are short-term and do not yield sufficient benefit for the companies involved. Industry aspirations for future collaboration were identified, along with linkages between inputs, activities and outcomes.

This study has two noteworthy limitations. First, this study did not consider the capacity of firms to collaborate. Second, for simplification purposes, this study did not integrate other complementary sources of knowledge for firms. To overcome these omissions, a short introduction of University–Industry Collaboration (UIC) was presented to participants highlighting and justifying the scope of the study. As research implications, this paper presents a new integrated conceptual framework, which can be useful for studies focusing on a comprehensive analysis of the UIC context and identifying effective mechanisms for improvement in the future. A construct of policies that stimulate UIC is proposed, thereby facilitating further operationalization and testing of context-specific hypotheses on policy stimuli.

In practice, the identified conceptual framework allows to holistically capture and reflect on the interrelationships between UIC factors and outcomes for a specific context, hence, informing better UIC decision-making. In this way, this paper advances the operationalization of the argument for reconciling organizational theories with their practices.

This paper presents a systemic means for organizational theories to perform their adaptive role in society. Indeed, as demonstrated by the empirical results, the proposed framework is effective not only in systematically assessing the current situation, but also in predicting the desired state in the future. In other words, the proposed framework facilitates prescience theorizing, which is a mechanism for ensuring that organizational theories adapt to future requirements of the society.

This study develops a new integrative conceptual framework to accommodate the interaction between UIC’s institutional decision-making and existing macrolevel frameworks of innovation ecosystems. In terms of methodology, the value of this study lies in its adoption of an ex ante approach to the development of mechanisms to stimulate UIC. This use of prescience theory (Corley and Gioia, 2011) constitutes an important – but long-neglected – approach to UIC and its adaptive role in society.

The purpose of this paper is to present the results of a discrete choice experiment (DCE) on the competencies of potential information technology (IT)-retrainees. The results give insights in the monetary value and relative returns to both soft and hard skills.

The authors apply a DCE in which the authors propose seven pairs of hypothetical candidates to employers based in the municipality of Amsterdam, the Netherlands. These hypothetical candidates differ on six observable skill attributes and have different starting wages. The authors use the inference from the DCE to calculate the marginal rates of substitution (MRS). The MRS gives an indication of the monetary value of each skill attribute.

Employers prefer a candidate who possesses a degree in an exact field over a similar candidate from another discipline. Programming experience from previous jobs is the most highly valued characteristic for an IT-retrainee. Employers would pay a candidate with basic programming experience a 53 percent higher starting wage. The most high-valued soft skill is listening skills, for which employers are willing to pay a 46 percent higher wage. The results of this paper show that both hard and soft skills are important, but not all soft skills are equally important.

The results on the returns to skills provide guidelines to tailor IT training and retraining programs to the needs of the business environment. A key strength of this paper is that the authors have information on the preference orderings for different skills and kinds of experience.

Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such interventions on student outcomes.

In this study, the authors employ a systematic literature review and meta-analysis to analyse teacher PDIs for data use.

The results suggest that conceptual, practical and continual goals are identified in data use PDIs. Supported by conceptual, practical or normative tools, facilitators employ a variety of techniques in facilitating teachers’ data use through data teams or professional learning communities. The facilitation techniques include assessing needs, using models or modelling, observing performance, providing feedback, providing built-in time for reflection and brokering. Further, the results highlight the influence of several conditions that contribute to the success of the interventions. Finally, the meta-analysis shows a significant positive effect of the interventions on student outcomes, with an effect size of 0.17.

The authors' proposed framework should be empirically tested and validated through field studies in various contexts. Since the authors focussed on studies reporting data use PDIs for instructional purposes as well as providing the descriptions of the PDIs, the number of included studies was only 27 and represented only four countries. Of the 27, 10 studies were used for the meta-analysis and the results may be subject to publication bias. Seemingly, the result may be related to the authors' inclusion/exclusion criteria that only included peer-reviewed journal articles and excluded non-peer-reviewed studies such as theses or dissertations. This criterion potentially neglected some relevant studies.

Policymakers interested in developing a data use PDI should take into account the various goals of data use PDIs, depending on policymakers' interests. Building teachers’ understanding of data use can be addressed by the practical goals. This can be conducted within a short period of time through training or courses, either in-person or online. This is appropriate for an initiation strategy for data use within schools. However, targeting specific skills and dispositional attributes around data use should adopt practical and continual goals. These types of goals require a PDI with a sustained duration embedded in teachers’ classroom practices; therefore, political and practical support is necessary.

The authors argue that the review findings contribute to knowledge and insights by presenting data use PDIs that support teacher learning, implementation and sustainability of data use practices.

This article provides a proposed framework for studying teacher PDIs for data use and sheds light on several goals, a variety of facilitation strategies and conditions and the effect of the interventions on student outcomes.

The purpose of this paper is to provide a systematic review of empirical evidence on the labour market effects of health insurance from the supply side.

The study covers the largest peer-reviewed and working paper databases for labour economics and health studies. These include Web of Science, Google Scholar, Pubmed and the most popular economics working paper sources such as NBER, ECONSTOR, IDEAS, IZA, SSRN, World Bank Working Paper Series. The authors follow the PRISMA 2009 protocol for systematic reviews.

The collection includes 63 studies. The outcomes of interest are the number of hours worked, the probability of employment, self-employment and the level of economic formalisation. The authors find that the current literature is vastly concentrated on the USA. Spousal coverage in the USA is associated with reduced labour supply of secondary earners. The effect of Medicaid in the USA on the labour supply of its recipients is ambiguous. The employment-coverage link is an important determinant of the labour supply of people with health problems and self-employment decisions. Universal coverage may create either an incentive or a disincentive to work depending on the design of the system. Finally, evidence on the relationship between health insurance and the level of economic formalisation in developing countries is fragmented and limited.

This study reviews the existing literature on the labour market effects of health insurance from the supply side. The authors find a large knowledge gap in emerging economies where health coverage is expanding. The authors also highlight important literature gaps that need to be filled in different themes of the topic.

This is the first systematic review on the topic which is becoming increasingly relevant for policy makers in developing countries where health coverage is expanding.

Informal payments in health care exist in many countries around the world. However, the prevalence of informal payments varies between countries. A distinction between illegal or unethical informal payments like bribes and corruption, and legal and ethical forms of informal payment like giving gifts is not always easy to make. Illegal and unethical practices include, for example, buying medical certificates, bid rigging during procurements, or selecting service-providers for a hospital based on personal connections. A conceptual global definition of informal payments in health care is not feasible because informality depends on local regulations, values, and traditions. In this chapter, we provide an up-to-date understanding of informal payments in health care (including corruption, fraud etc.) by distinguishing micro, meso, and macro levels of informal payments. We argue that informal payments that occur at these levels cannot be unified under one umbrella of corruption because the various forms of informal payments in health care differ in nature, scope, and damaging effects.

Over the past years a number of studies have appeared on the incidence and returns to overeducation in the labor market. In these studies various definitions of educational mismatches have been used. In this paper we analyze the validity and reliability of three of these definitions. It is found that the definitions differ widely in the workers who are identified as over‐ or undereducated. Further, the methods yield different estimates of the returns to over‐ and undereducation.

Using data for The Netherlands, this paper analyzes the relation between allocation, wages and job satisfaction. Five conclusions emerge from the empirical analysis: satisfaction with the job content is the main factor explaining overall job satisfaction; the effects of individual and job characteristics on job satisfaction differ by the aspect of the job considered; the response to a general question on job satisfaction differs from the response to questions on satisfaction with different aspects of the job; it is relevant to consider the joint relation between wages and job satisfaction; and skill mismatches do not seem to affect job satisfaction.