The application of terms mining technique to clustering participant’s character patterns in the enterprise management

The participant’s character patterns are different in different progresses of enterprise management innovation at various stages of advanced lean management. Term mining technique is used to analyze the text of the results of interviews to detect participant’s character patterns in the enterprise management innovation process (EMIP). Five levels of fuzzy language variables—very low, low, normal, high and very high, are used to differentiate the participant’s character patterns in the EMIP at the stages of advanced lean management of point, line, plane and cube. The main conclusions from this research are: (1) Participant’s character patterns in the EMIP are developed from the four stages (point, line, panel, cube)of the advanced lean management, providing the gist for more targeted designing of the promotion mechanism in the progress of advanced enterprise lean management. (2) The application of text mining method can be extended to analyze participant’s character patterns. (3) Get the participant’s character patterns can provide the basis for company management.