References
- Agahi, F. (2014). Linking and organizing decision information object-oriented promote using different DSS technologies. In G. E. Phillips-Wren, S. Carlsson, A. Respício, & P. Brezillon (Eds.), DSS 2.0 – Supporting decision making with new technologies. Paris, IOS Press 261 of Frontiers in Artificial Intelligence and Applications, 120–131.
- Bergman, M. M. (2010). On concepts and paradigms in mixed methods research. Journal of Mixed Methods Research, 4, 171–175. 10.1177/1558689810376950
- Contandriopoulos, D., Lemire, M., Denis, J. L., & Tremblay, ÉMILE (2010). Knowledge exchange processes in organizations and policy arenas: A narrative systematic review of the literature. Milbank Quarterly, 88, 444–483. 10.1111/milq.2010.88.issue-4
- Driscoll, D. D., Appiah-Yeboah, A., Salib, P., & Rupert, D. J. (2007). Merging qualitative and quantitative data in mixed methods research: How to and why not. Ecological and Environmental Anthropology, 3(1), 19–18.
- Duguid, P. (2005). The art of knowing: Social and tacit dimensions of knowledge and the limits of the community of practice. The Information Society: An International Journal, 21, 109–118. doi:10.1080/01972240590925311
- European Commission. (2013a). Erasmus+. EU programme for education, training, youth, and sport. Retrieved December 29, 2015, from http://ec.europa.eu/programmes/erasmus-plus/discover/index_en.htm
- European Commission. (2013b). Regulation (EU) no 1288/2013. Retrieved on December 28, 2015, from http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32013R1288&from=EN
- European Commission. (2014a). Erasmus+ project results. Retrieved January 3, 2016, from http://ec.europa.eu/programmes/erasmus-plus/projects/
- European Commission. (2014b). The erasmus+ programme guide. Retrieved December 30, 2015 from http://ec.europa.eu/programmes/erasmus-plus/discover/guide/index_en.htm
- Fan, W., & Bifet, A. (2012). Mining big data: Current status, and forecast to the future. ACM SIGKDD Explorations Newsletter, 14(2), 1–5.
- Ghobadi, G. (2013). Application of activity theory in understanding online communities of practice: A case of feminism. The Journal of Community Informatics, 9(1).
- Gibson, C. B., & Cohen, S. G. (2003). Virtual teams that work: Creating conditions for virtual team effectiveness. San Francisco: John Wiley & Sons, Inc. 466 p.
- Giddens, A. (1984). The constitution of society – Outline of the theory of structuration. University of California Press.
- Gornitzka, Å., & Sverdrup, U. (2011). Access of experts: Information and EU decision making. West European Politics, 34(1), 48–70.
- Hamburg, I. (2010). Supporting cross-border knowledge transfer through virtual teams, communities and ICT tools. In R. J.Howlett (Ed.), Innovation through knowledge transfer (pp. 23–29). Springer.
- Hislop, D. (2013). Knowledge management in organizations: A critical introduction (3rd ed.). Oxford: Oxford University Press. 279 p.
- Horwitz, F. M., Bravington, D., & Silvis, U. (2006). The promise of virtual teams: Identifying key factors in effectiveness and failure. Journal of European Industrial Training, 30, 472–494. 10.1108/03090590610688843
- Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351–383). Thousand Oaks, CA: Sage.
- Ratcheva, V. (2009). Integrating diverse knowledge through boundary spanning processes – The case of multidisciplinary project teams. International Journal of Project Management, 27, 206–215. 10.1016/j.ijproman.2008.02.008
- Schmidt, K. (1994). Cooperative work and its articulation: Requirements for computer support. Le Travail Humain, 57, 345–366.
- Workman, C. J., Szymczak-Workman, A. L., Collison, L. W., Pillai, M. R., & Vignali, D. A. (2009). The development and function of regulatory T cells. Cell. Mol. Life Sci, 66, 2603–2622.