The storage and diffusion of corporate leaders' knowledge has long been a major management issue. In the past, to learn the dominant logics of these leaders, we either rely on storytelling by face-to-face interview or reading their autobiographies. That usually is time-consuming and costly and feasible only if you get chances to have in-depth interviews or their autobiographies do exist. Recently, some text mining approaches have been proposed to help extracting knowledge from various document sources with some degree of success. In this research, we apply growing hierarchical self-organizing map (GHSOM), a widely used text mining tool, to analyze the dominant managerial logics of Mr. Y.C. Wang, the Chairman of Formosa Plastics Group, (also known as the God of Business in Taiwan). A collection of speeches given by Mr. Wang in various occasions is used to construct topic maps, representing his management philosophy by using GHSOM. The research results do show some usefulness of GHSOM in clustering documents based on their main management concepts. While for concepts with functional orientations the results are quite promising, those of more abstract nature do pose some difficulties to cluster.
|Translated title of the contribution||Applying Text Mining in the Construction of Top Managers' Knowledge Maps|
|Original language||Chinese (Traditional)|
|Number of pages||30|
|Publication status||Published - 2004|
- dominant managerial logic
- topic map
- knowledge map