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Developing the Capability Indicators for CNC Machine R&D Staff in Taiwan

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Innovative Technologies and Learning (ICITL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11003))

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Abstract

The purpose of this paper was to develop the capability indicators for R&D staff of CNC machine industry in Taiwan. In order to improve the effectiveness of developing new CNC machine ability and working skills of R&D staff. In the first parts of this study, three experts in the CNC machine industry field were interviewed, and a list of capability indicator was concluded. In the second part of the study, 10 field experts were invited as subjects. Using the Delphi technique, questionnaires are constructed to assess capability indicators for R&D staff of CNC machine industry. In the third of the study, the data collected from the questionnaires were analyzed using a non-parametric Wilcoxon signed rank test. Finally, this study concluded 31 capability indicators under four dimensions for R&D staff of CNC machine industry in Taiwan.

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Author information

Authors and Affiliations

  1. Department of Industrial Education and Technology, National Changhua University of Education, Changhua, 500, Taiwan

    Dyi-Cheng Chen & Tzu-Wen Chen

Authors
  1. Dyi-Cheng Chen
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  2. Tzu-Wen Chen
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Corresponding author

Correspondence to Dyi-Cheng Chen .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Kun Shan University, Tainan City, Taiwan

    Yueh-Min Huang

  3. Nanjing Normal University, Nanjing, China

    Rustam Shadiev

  4. University of North Texas, Denton, TX, USA

    Lin Lin

  5. University of Ljubljana, Ljubljana, Slovenia

    Andreja Istenič Starčič

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Chen, DC., Chen, TW. (2018). Developing the Capability Indicators for CNC Machine R&D Staff in Taiwan. In: Wu, TT., Huang, YM., Shadiev, R., Lin, L., Starčič, A. (eds) Innovative Technologies and Learning. ICITL 2018. Lecture Notes in Computer Science(), vol 11003. Springer, Cham. https://doi.org/10.1007/978-3-319-99737-7_23

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  • DOI: https://doi.org/10.1007/978-3-319-99737-7_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99736-0

  • Online ISBN: 978-3-319-99737-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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