Abstract
A university is an entity in the global educational and research community that collaborates with other entities executing joint programs and participating in common projects. In order to succeed in theses activities the university should have a clear understanding of its research results and ways to find the research partners. This is especially important for the Ukrainian scientific community. This paper presents a business model that is based on the scientific collaboration networks. We apply the business model to the educational scientific complex “Institute for Applied System Analysis”. The case study reveals the scientific schools of the institute and presents possible collaborators for the future projects.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Abbasi, A., Altmann, J.: On the correlation between research performance and social network analysis measures applied to research collaboration networks. In: Proceedings of the HICSS 2011, pp. 1–10. IEEE (2011)
ACM: The ACM Computing Classification System (2012)
AMS: Mathematics Subject Classification (2010)
Bensman, S.: Anne-Wil Harzing: The publish or perish book: Your guide to effective and responsible citation analysis. Scientometrics 88, 339–342 (2011)
Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 10, 8 (2008)
Burkhart, T., Krumeich, J., Werth, D., Loos, P.: Analyzing the business model concept — a comprehensive classification of literature. In: Proceedings of the ICIS 2011. AIS (2011)
Chirita, P.A., Damian, A., Nejdl, W., Siberski, W.: Search strategies for scientific collaboration networks. In: Proceedings of the 2005 ACM Workshop on Information Retrieval in Peer-to-Peer Networks, P2PIR 2005, pp. 33–40. ACM (2005)
Cilibrasi, R., Vitanyi, P.: The google similarity distance. IEEE Transactions on Knowledge and Data Engineering 19(3), 370–383 (2007)
Diederich, J., Iofciu, T.: Finding communities of practice from user profiles based on folksonomies. In: Proceedings of the EC-TEL 2006 Workshops. CEUR Workshop Proceedings, vol. 213, pp. 288–297. CEUR-WS.org (2006)
Divakarmurthy, P., Menezes, R.: The effect of citations to collaboration networks. In: Menezes, R., Evsukoff, A., González, M.C. (eds.) Complex Networks. SCI, vol. 424, pp. 177–185. Springer, Heidelberg (2013)
Dushay, N., Hillmann, D.I.: Analyzing metadata for effective use and re-use. In: Proc. of the Dublin Core Metadata Conference 2003, pp. 17:1–17:10. DCMI (2003)
Evans, T., Lambiotte, R., Panzarasa, P.: Community structure and patterns of scientific collaboration in business and management. Scientometrics 89, 381–396 (2011)
Gabrilovich, E., Markovitch, S.: Computing semantic relatedness using wikipedia-based explicit semantic analysis. In: Proceedings of the IJCAI 2007, pp. 1606–1611. AAAI (2007)
de Kunder, M.: The size of the world wide web, http://www.worldwidewebsize.com
Lin, D.: An information-theoretic definition of similarity. In: Proceedings of the 15th International Conf. on Machine Learning, pp. 296–304. Morgan Kaufmann (1998)
Malciené, L.: Scientometric analysis of a scientific school. Scientometrics 15, 73–85 (1989)
Medelyan, O., Frank, E., Witten, I.H.: Human-competitive tagging using automatic keyphrase extraction. In: Proc. of the EMNLP 2009, pp. 1318–1327. ACL (2009)
Newman, M.E.J.: The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences 98(2), 404–409 (2001)
Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers, 1st edn. Wiley (2010)
Pankratova, N., Maistrenko, O., Maslianko, P.: System definition of the business/enterprise model. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds.) OTM 2012 Workshops. LNCS, vol. 7567, pp. 134–143. Springer, Heidelberg (2012)
de Solla Price, D.J.: Networks of scientific papers. Science 149, 510–515 (1965)
Reijers, H.A., Song, M., Romero, H., Dayal, U., Eder, J., Koehler, J.: A Collaboration and Productiveness Analysis of the BPM Community. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 1–14. Springer, Heidelberg (2009)
Sonnenwald, D.H.: Scientific collaboration. Annual Review of Information Science and Technology 41(1), 643–681 (2007)
Tsatsaronis, G., Varlamis, I., Vazirgiannis, M.: Text relatedness based on a word thesaurus. Journal of Artificial Intelligence Research 37, 1–39 (2010)
UDC Consortium: Universal Decimal Classification
Yu, B., Singh, M.P.: Searching social networks. In: AAMAS, pp. 65–72. ACM (2003)
Zgurovsky, M.Z., Pankratova, N.D.: System Analysis: Problems, methodology, applications. “Naukova Dumka” Kyiv (2005) (published in Russian)
Zgurovsky, M.Z., Pankratova, N.D.: System Analysis: Theory and Applications. Springer (2007)
Zott, C., Amit, R., Massa, L.: The business model: Recent developments and future research. Journal of Management 37(4), 1019–1042 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pankratova, N., Maistrenko, O., Maslianko, P. (2013). Business Model for Analysis of the University Research and Scientific Collaboration: A Case Study. In: Abramowicz, W. (eds) Business Information Systems. BIS 2013. Lecture Notes in Business Information Processing, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38366-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-38366-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38365-6
Online ISBN: 978-3-642-38366-3
eBook Packages: Computer ScienceComputer Science (R0)