Table 2

Key themes defining institutional forces for collaboration and policy mechanisms

Key themesInstitutional forces for a collaborationPolicy mechanisms
Information flow between organisations
  • -

    Opportunities from academic HPC centres

  • -

    Promotion of HPC from academic HPC centres

  • -

    Low awareness of benefits from the side of the Industry

  • -

    Public authorities as responsible for a systematic system for the transmission of information

Institutional cooperation
  • -

    U-I collaboration is perceived as weak

  • -

    Poor knowledge transfer, low applicability to Industry

  • -

    Public authorities ensure free HPC training

  • -

    Need to address the development and teaching of HPC competencies systematically

  • -

    Countries with strong industrial organisations do not require assistance from the public authorities

Knowledge creation in HEI and RI
  • -

    Specific cases of high HPC level knowledge exist, especially among younger researchers

  • -

    Academic HPC centres support cross-sectoral cooperation and knowledge transfer

  • -

    Support the development of new study programmes tailored more according to the HPC needs of the industrial sphere

Knowledge transfer, HPC training
  • -

    Positive attitudes towards creativity, entrepreneurship and new technologies

  • -

    Industry is focussed on ICT advancements and innovation

  • -

    Cooperation between academic HPC centres and Industry is seen as positive

  • -

    Senior researchers in some intermediary countries, particularly lagging countries, are not seen as competent to use and teach HPC.

  • -

    The reform of academic programmes is required

Ability to use HPC
  • -

    The Industry obtained the ability and skill to use HPC in advanced countries

  • -

    Industry in advanced countries owns HPC research centres. Such ownership is an obstacle to collaboration in the academic HPC sphere

  • -

    Results in the exclusivity of knowledge

  • -

    Industry fears data disclosure and worries about data protection in the external HPC infrastructure

  • -

    Industry in competitively intermediate and competitively lagging countries frequently is not HPC ready – neither in awareness, type of products, nor skills

  • -

    In intermediate and competitively lagging countries, the industries rely upon policy support when developing and using the HPC technology

  • -

    The competitively lagging countries face shadow economy and tax evasion; the level of socio-economic development is the main obstacle to HPC utilisation in Industry

HPC setbacks for SMEs
  • -

    HPC readiness of the SMEs is low for reasons like; low awareness of the usefulness of HPC, lack of adequately trained human resources, high cost of licensed software, and rental of HPC infrastructure

  • -

    HPC is predominantly available through EU funding. EU-funded HPC is not open to the private sector

  • -

    EU projects support international networks

  • -

    In competitively intermediate and lagging countries, the academic HPC centres focus on theoretical research

  • -

    Slow transfer of HPC knowledge to Industry

  • -

    EU projects demand extensive administrative work. Due to the complexity of project documentation, SMEs do not desire to consider EU project funding

Transnational collaboration
  • -

    Industrial R&D needs in competitively intermediate, and lagging countries are addressed abroad

  • -

    Weak U-I collaboration in general in competitively intermediate and lagging countries

The competitive advantage of HPC usage
  • -

    Competitively advanced and some competitively intermediary countries demonstrate collaboration between academic HPC centres to ensure competitive advantage

  • -

    The usage of HPC varies across the Danube region

  • -

    Presence of clustering in automotive and electronics sectors

National innovation policy
  • -

    Existing policies support collaboration

  • -

    Need for working legal environment

  • -

    Public authorities are seen as hinderers of collaboration

  • -

    National innovation policy needs a vision. The lack of clear long-term goals is a weakness. The non-critical best practices imported from other cultural settings are de-motivating in competitively intermediate countries

  • -

    Policies supporting innovation agents who engage in clusters and networks exist in advanced countries

  • -

    Slow implementation of policies, too bureaucratic approach

  • -

    Unstable national and EU funding results in low investment/funding in science

  • -

    Without national support, academia in competitively lagging countries creates transnational networks due to self-initiative

  • -

    In competitively intermediate and lagging countries, provision of funding for SMEs

  • -

    Request the training for HPC to be free and open

  • -

    Policy needs to ensure financial support for HPC (and related IPR) and promote innovation

  • -

    Too much focus on solving unemployment problems per se

  • -

    Too slow recognition of R&D profitability in competitively intermediate and lagging countries

Role of public authorities
  • -

    Public organisations are considered an obstacle to the diffusion of technology

  • -

    Lack of interest in HPC in the competitively intermediate and lagging Danube region countries

  • -

    Solely declarative support to HPC application

  • -

    Lack of support for U-I collaboration

  • -

    Lack of support towards forming networks, especially between University and Industry, as public-private partnerships are considered fraud in some competitively intermediate countries

  • -

    In competitively advanced countries, the critical decision maker in national networks is in academia, while in competitively intermediate countries, the crucial actor in the networks is Industry

  • -

    Policy that enables stable financing of HPC infrastructure is considered sufficient

  • -

    Lack of legislation, including IPR protection and enforcement (especially in lagging countries)

  • -

    Weak or absent Internet infrastructure in some countries

  • -

    Lack of long-term vision regarding innovation and short-term and long-term goals

  • -

    Slow and bureaucratic policy implementation

  • -

    Lack of recognition of HPC's effectiveness in the diffusion of technology

Issue of brain drain and migration
  • -

    In competitively advanced countries, the talents are attracted by the high quality of life and high quality of academically exciting research groups, professors with HPC competencies, and established U-I collaboration through study programs and HPC usage during the study

  • -

    Competitively intermediate countries can also attract talented people but have difficulties retaining them

  • -

    The competitively lagging Danube region countries cannot attract or retain talented individuals from other countries, as they cannot stem their brain drain

  • -

    Competitively intermediate countries are incapable of retaining talented people due to labour market issues (legislation, taxation, and incompatibility of wages with the complexity of work)

  • -

    Competitively lagging countries note underdeveloped Industry, inadequate political system and labour market together with underfinanced and low-quality academic sphere

  • -

    EU migration policy and globalisation support brain drain from competitively lagging countries

Source(s): Own research results interpretation

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