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The chapter presents an overview of the state of Research Management and Administration (RMA) in Belarus. The country enjoys sound traditions in basic and applied research in some areas relevant to its economy, particularly in science, technology, engineering, and mathematics (STEM). The current science, technology, and innovation (STI) policy is focussed on the commercialisation of domestic research and development (R&D) results and the effectiveness of the national STI system.

The majority of competitive budget funds are allocated within different types of programmes that support R&D and innovation. Formal RMA positions exist at the programme level and are based in research centres, universities and companies being grounded on a solid legal basis. Roughly 150–250 people within 50 legal entities are directly involved in RMA. At the project level, the RMA activities are either combined with scientific supervision or informally distributed within the project team.

A possible increase in overall R&D expenditures in the country, the eventual enlargement of the scope of publicly supported STI projects and their collaborative nature, as well as their internationalisation and widening of international cooperation may significantly increase the demand for RMA professionals.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

The emergence of Research Management and Administration (RMA) is a result of the pressure on academics to secure research funding from external sources, the increasing competition for these funds, as well as the rising requirements of research funders in terms of reporting and compliance with regulations. This is relevant in the case of the current Horizon Europe Framework Programme for Research and Innovation (HEU) funded by the European Union (EU) which requires important level of professionalisation of the research support staff on behalf of the applicant institutions. Data management, open science, research ethics and integrity, achieving impact beyond academia and the valorisation of project results can be regarded as non-research specific criteria which have to be met by applicant organisations to secure the highly competitive funding. Meeting these non-specific criteria is not always possible in countries whose performance is lagging behind compared to the Western European competitors in EU-funded programmes, such as Hungary.

Our findings reveal two things. First, research support in Hungary is in its early stage of maturity, similary to many countries in Central and Eastern Europe. In several cases, Research Managers and Administrators (RMAs) do not possess the knowledge necessary to meet the non-research specific criteria even if the knowledge is present at the institution or with other colleagues. Second, due to the continuously increasing participation in EU-funded framework programmes (FPs), the state of research support in Hungary is constantly evolving. There is also willingness to learn and improve capacities, which needs strategic planning, studying others’ examples and their adaptability. Such processes can support the capacity building and professionalisation of research offices not only in Hungary, but in countries of the Central and Eastern European region with a similar maturity level of RMA.

Research management and administration (RMA) is a globally emerging field, but it is not yet established in Romania. The chapter analyses what are the formal expectations regarding RMA in the Romanian research system, and how these tasks are resolved on the ground. First, policy documents and informational packages of the major research funding calls are examined. Second, interviews are conducted with research project leaders, who undertook projects in different research organisations (state financed or private universities, state financed research institutions, or private foundations) in Romania. The interviews focussed on the challenges project leaders experienced in the grant seeking and implementation process, and on how they see the institutional and policy environment they work in.

In the concluding parts of the chapter, concrete policy recommendations are formulated that could help in resolving the research management related challenges, and in establishing RMA as a profession in the country.