Abstract
Many organizations have challenges such as inter-organizational barriers and motivation of employees. However, these kinds of problems are not easy to visualize, and it is even more difficult to derive, implement and assess appropriate measures to deal with them. We developed a tool to visualize the dynamic structure of cooperative relationships between employees in organizations based on questionnaires given to employees of those organizations. This tool is used for visualizing barriers between teams and the effects of measures. In this paper we explain some features of this tool and verify its capabilities and effectiveness with a case study. The case study is some field research based on interviews that we conducted in which we applied measures to improve the employees’ communication. We collected a set of data about relationships in an organization with questionnaires before and after implementing the measures. And we compared the observed result produced by the visualization tool with the result from the field research.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Senge, P.M.: The Fifth Discipline: The Art & Practice of the Learning Organization. Currency (2006)
Ugai, T., Aoyama, K., Arima, J.: A mathematical model of knowledge transfer and case studies. The International Journal of Knowledge, Culture & Change Management 7, 9–17 (2007)
Aoyama, K., Ugai, T., Arima, J.: Design and evaluation a knowledge management system by using mathematical model of knowledge transfer. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part II. LNCS (LNAI), vol. 4693, pp. 1253–1260. Springer, Heidelberg (2007)
Wasserman, S., Stanley, K.: Social Networks Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)
Borgatti, S., Everett, M., Feeman, L.: UCINET IV Version 1.0 User’s Guide. Analytic Technologies, Columbia, SC (1992)
Carley, K.M., Pattison, P., Breiger, R.L.: Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. Natl. Academy Press (2004)
Rubin, R.B., Palmgreen, P., Sympher, H.E. (eds.): Communication Research Measures. Larence Erlbaum Associates, Mahwah (2004)
McGrath, J.E.: GROUPS: Interaction And Performance. Prentice-Hall, Englewood Cliffs (1984)
Eades, P.: A heuristic for graph drawing. Congressus Numerantium 42, 149160 (1984)
Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99, 8271–8276 (2002)
McClelland, D.C.: Human Motivation. Cambridge University Press, Cambridge (1988)
Misue, K.: Anchored Maps: Visualization Techniques for Drawing Bipartite Graphs. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4551, pp. 106–114. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ugai, T., Aoyama, K. (2009). Organization Diagnosis Tools Based on Social Network Analysis. In: Smith, M.J., Salvendy, G. (eds) Human Interface and the Management of Information. Designing Information Environments. Human Interface 2009. Lecture Notes in Computer Science, vol 5617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02556-3_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-02556-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02555-6
Online ISBN: 978-3-642-02556-3
eBook Packages: Computer ScienceComputer Science (R0)