In this chapter, we propose an approach for understanding leadership behavior in dot-jp, a non-profit organizations in Japan, by analyzing heterogeneous multi-data composed of questionnaire and e-mail archives. From questionnaire, we obtain qualitative relations between staff members. From e-mail archives, we obtain quantitative relations between staff members. By integrating these different kind of relations, we discovered that a leader should give supportive messages as well as directive messages to staff members to constract his/her reliable relation with staff members.
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Matsumura, N., Sasaki, Y. (2008). Multi-Data Mining for Understanding Leadership Behavior. In: Iwata, S., Ohsawa, Y., Tsumoto, S., Zhong, N., Shi, Y., Magnani, L. (eds) Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78733-4_4
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DOI: https://doi.org/10.1007/978-3-540-78733-4_4
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