Abstract
In this paper, we consider enterprise organization structures and communication networks obtained from email transaction data. Along with recent progress and popularization of Information Technology, social sciences have been experiencing great advances in methodology. It has become possible for researchers to utilize huge computational social data. However, there have been only conceptual studies in business school and very little quantitative analysis for enterprise organizations. We evaluate the strategic organization change with graph/network analysis of the communication network.
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References
Carley K, Krackhardt D (1998) A PCANS Model of Structure in Organizations. In: Proceedings of the 1998 International Symposium on Command and Control Research and Technology. June, Monterey, CA
Levitt RE (2004) Computational Modeling of Organizations Comes of Age. Computational & Mathematical Organization Theory 10:127–145
Barabasi AL (2002) Linked, The New Science of Networks. Perseus, Cambridge
Watts DJ (1999) Small Worlds — The Dynamics of Networks between Order and Randomness. Princeton University Press, Princeton, NJ
UCINET (Analytic Technologies), http://www.analytictech.com
Itoh T, Yamaguchi Y, Ikehata Y, Kajinaga Y (2004) Hierarchical Data Visualization Using a Fast Rectangle-Packing Algorithm. IEEE Transactions on Visualization and Computer Graphics 10:302–313
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Mizuta, H., Nakamura, F. (2007). Enterprise Organization and Communication Network. In: Terano, T., Kita, H., Deguchi, H., Kijima, K. (eds) Agent-Based Approaches in Economic and Social Complex Systems IV. Agent-Based Social Systems, vol 3. Springer, Tokyo. https://doi.org/10.1007/978-4-431-71307-4_13
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DOI: https://doi.org/10.1007/978-4-431-71307-4_13
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Publisher Name: Springer, Tokyo
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Online ISBN: 978-4-431-71307-4
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