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

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Abstract

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.

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Acknowledgments

This research work are supported by the National Natural Science Foundation of China under Grant No. 71071107 and Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi No. 2016(39). We would like to acknowledge spirit support of Research Assistant Center, Show Chwan Health Care System.

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Authors and Affiliations

  1. School of Management Science and Engineering, Shanxi University of Finance & Economics, Taiyuan, Shanxi, 030006, China

    Shuwei Jing

  2. College of Management and Economics, Tianjin University, Tianjin, 300072, China

    Zhanwen Niu

  3. Department of Emergency, Show Chwan Memorial Hospital, Changhua, Taiwan

    Chun-Bin Tung

  4. Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan

    Zih-Ping Ho

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  1. Shuwei Jing
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  2. Zhanwen Niu
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  3. Chun-Bin Tung
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  4. Zih-Ping Ho
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Correspondence to Chun-Bin Tung or Zih-Ping Ho.

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Jing, S., Niu, Z., Tung, CB. et al. The application of terms mining technique to clustering participant’s character patterns in the enterprise management. Cluster Comput 19, 2097–2107 (2016). https://doi.org/10.1007/s10586-016-0654-x

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  • DOI: https://doi.org/10.1007/s10586-016-0654-x

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