Calin VAIDA, Laurentiu NAE, Michel DERIAZ, Adrian PISLA, Eduard OPREA, Bogdan GHERMAN, Andreea MIRCEA, Leen STULENS, Doina PISLA


The development of a European scaled Knowledge Transfer Platform must answer the needs of all its envisaged users while creating an efficient and stable environment acknowledging all the cross-cultural challenges and adapt to the requirements of each type of user: mentors, companies, or development team. A detailed analysis of these needs is presented in the paper covering the independent needs of each group and analyzing the possible interferences grouped in three categories: positive, neutral and negative. This analysis determines the further development of the platform and represents a critical aspect in the achievement of an attractive environment which can reach European-spread scale.

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Pisla, D., Nae, L., et. al., Development of a learning management system for knowledge transfer in engineering, Acta Tehnica Napocensis, Vol. 64(3), pp. 361-369, 2021

OECD Future Of Education And Skills 2030: OECD Learning Compass 2030, 2019

Cotrino, A., Sebastián, M.A., González-Gaya, C. Industry 4.0 HUB: A Collaborative Knowledge Transfer Platform for Small and Medium-Sized Enterprises. Appl. Sci., vol. 11, 5548, 2021

Camacho, D,. et. al. The four dimensions of social network analysis: An overview of research methods, applications, and software tools, Information Fusion, vol. 63, pp. 88-120, 2020

Gherman, B., et al: WisdomOfAge: Designing a platform for Active and Healthy Ageing of senior experts in engineering, ICT for Health, Accessibility and Wellbeing, IHAW 2021

Statistica Research Department, Global social networks ranked by number of users 2021, September 2021

Al-Sabaawi, M., The comparative analysis of social network in international and local corporate business, Int. J. of Adv. in Engineering & Technology, Vol. 7(3), pp. 723-732, 2014

Mathrani, S., Edwards, B. Knowledge-Sharing Strategies in Distributed Collaborative Product Development, J. Open Innov. Technol. Mark. Complex., Vol. 6(194), 2020

Pisla, D., et. al. PARASURG hybrid parallel robot for minimally invasive surgery. Chirurgia, Vol. 106(5), pp. 619-625, 2011

Vaida, C., Pisla, D., Plitea, N., et. al., Development of a control system for a parallel robot used in minimally invasive surgery, IFMBE Proceedings, Vol. 26, pp. 171-176, 2009

DeLozier, C., et al. Hurdle: Securing Jump Instructions Against Code Reuse Attacks, In Proc. of the 25th Int. Conf. on Architectural Support for Programming Languages and Operating Systems, Switzerland. 14 pages, 2020

Vaida, C., et al. Systematic design of a parallel robotic system for lower limb rehabilitation, IEEE Access, Vol. 8, pp. 34522-34537, 2020

Major, Z. Z., et. al., Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases, Journal of Personalized Medicine, Vol. 11(10):953, 2021

Cisel, M., Pontalier, D. Knowledge Marketpla-ces: An Analysis of the Influence of Business Models on Instructors’ Motivations and Strategies. Int. Review of Research in Open and Distributed Learning, Vol. 22(3), 142–158, 2021

WisdomOfAge:, 2021, last accessed 24.10.2021

Pisla, D., et al. Risk Management for the Reliability of Robotic Assisted Treatment of Non-resectable Liver Tumors. Applied Sciences, vol. 10(1):52, 2020


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