Aktorzy, relacje i sieci – o współpracy naukowej nie bibliometrycznie
pdf (Język Polski)

Keywords

współpraca naukowa
sieci społeczne
centrum-peryferie
ego-sieci

How to Cite

Czerniawska, D., Fenrich, W., & Bojanowski, M. (2020). Aktorzy, relacje i sieci – o współpracy naukowej nie bibliometrycznie. Nauka I Szkolnictwo Wyższe, (1-2(53-54), 107–133. https://doi.org/10.14746/nisw.2019.1-2.3

Abstract

Scholarly collaboration is relatively well described quantitatively on the macro level thanks to the analyses of large bibliographic databases. At the same time, there are known limitations of the bibliometric approaches to studying collaboration in science. We argue that in order
to improve our understanding of social processes operating in science it is necessary to take a more in-depth look: (1) identify kinds of actors that are recognized as potential partners in collaboration, (2) what features of collaborative relations are considered crucial for en-gaged actors, (3) what kinds of structures of networks composed of collaboration relations actors are embedded in, and what factors influence these structures. With 30 individual in-depth interviews (IDI) with Polish scholars we gathered detailed information about individual collaborations that allowed us to analyze collaborative ties from individual perspective and map respondent-centered networks of collaboration. Scholars identify individuals as well as teams or institutions as collaborators. They also distinguish symmetric and asymmetric collaborations. Structures of respondent-centered collaboration networks are affected by (a) leadership strategies of team principals (especially whether teams are built around positions or individuals); (b) institutional location (by making establishing external collaborations easier for scientists from bigger institutions); (c) scientific degree and recent changes in financing of science (as young scientists receive more freedom from usual organizational hierarchies by receiving substantial grants).

https://doi.org/10.14746/nisw.2019.1-2.3
pdf (Język Polski)

Funding

Wydanie tego tomu nie byłoby możliwe bez wsparcia otrzymanego w ramach projektu MNISW Dialog (0022/DLG/2019/10), za co redaktor wyraża podziękowanie.

References

Baldwin, R.E. i Forslid, R. (2000). The core-periphery model and endogenous growth: Stabilizing and destabilizing integration. Economica 67: 307–324.

Beaver, D. DeB (2001). Reflections on scientific collaboration (and its study): Past, present, and future. Scientometrics 52: 365–377.

Birnbaum, R. i Edelson, P.J. (1989). How colleges work: The cybernetics of academic organization and leadership. The Journal of Continuing Higher Education 37: 27–29.

Blau, P.M. (1994). The organization of academic work. Transaction Publishers.

Boyer, E.L. (1997). Scholarship reconsidered: Priorities of the professoriate. Jossey-Bass.

Cohen, M.D. i March, J.G. (1974). Leadership and ambiguity: The american college president. ERIC.

Coleman, J.S. (1990). Foundations of social science theory. Cambridge, MA: Belknap Press.

Crosland, M. (1975). The development of a professional career in science in France. Minerva 13: 38–57.

Csardi, G. i Nepusz, T. (2006). The igraph software package for complex network research. InterJournal Complex Systems: 1695.

DeSolla P.D. (1965). Networks of scientific papers. Science 149: 510–515.

Han, Shin-Kap. (2003). Tribal regimes in academia: A comparative analysis of market structure across disciplines. Social networks 25: 251–280.

Hedström, P. (2005). Dissecting the social on the principles of analytical sociology. Cambridge University Press.

Hermanowicz, J.C. (1998). The presentation of occupational self in science. Qualitative Sociology 21: 129–148.

Kapferer, B. (1969). Norms and the manipulation of relationships in a work context. Edited by J.C. Mitchell. Manchester: Manchester University Press.

Katz, J.S. i Martin, B.R. (1997). What is research collaboration? Research policy 26: 1–18.

Kuwabara, K., Luo, J. i Sheldon, O. (2010). Multiplex exchange relations. Advances in Group Processes 27: 239–268.

Kwiek, M. (2015). Uniwersytet w dobie przemian: Instytucje i kadra akademicka w warunkach rosnącej konkurencji. Warszawa: PWN.

Lepori, B., Barberio, V., Seeber, M. i Aguillo, I. (2013). Core–periphery structures in national higher education systems. a cross-country analysis using interlinking data. Journalof Informetrics 7: 622–634.

Lewis, J.M., Ross, S. i Holden, T. (2012). The how and why of academic collaboration: Disciplinary differences and policy implications. Higher Education 64: 693–708.

Leydesdorff, L. i Wagner, C.S. (2008). International collaboration in science and the formation of a core group. Journal of Informetrics 2: 317–325.

Lorrain, F. i White, H.C. (1971). Structural equivalence of individuals in social networks. Journal of Mathematical Sociology 1: 49–80.

Middlehurst, R. i Elton, L. (1992). Leadership and management in higher education. Studies in Higher Education 17: 251–264.

R Core Team (2015). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.

Schneijderberg, Ch. i Merkator, N. (2013). The new higher education professionals. W: The academic profession in europe: New tasks and new challenges, 53–92. Springer.

Slaughter, S. i Leslie, L.L. (1997). Academic capitalism: Politics, policies, and the entrepreneurial university. ERIC.

Sonnenwald, D.H. (2007). Scientific collaboration. Annual review of information science and technology 41: 643–681.

Subramanyam, K. (1983). Bibliometric studies of research collaboration: A review. Journal of Information Science 6: 33–38.

Whitley, R. (2000). The intellectual and social organization of the sciences. Oxford University Press.

Whitley, R. (2003). Competition and pluralism in the public sciences: The impact of institutional frameworks on the organisation of academic science. Research Policy 32: 1015–1029.