Developing the capability indicators for CNC machine R&D staff in Taiwan

Dyi-Cheng Chen, Tzu Wen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings
EditorsLin Lin, Ting-Ting Wu, Yueh-Min Huang, Yueh-Min Huang, Andreja Istenic Starcic, Rustam Shadieva
PublisherSpringer Verlag
Pages223-230
Number of pages8
ISBN (Print)9783319997360
DOIs
Publication statusPublished - 2018 Jan 1
Event1st International Conference on Innovative Technologies and Learning, ICITL 2018 - Portoroz, Slovenia
Duration: 2018 Aug 272018 Aug 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11003 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Innovative Technologies and Learning, ICITL 2018
CountrySlovenia
CityPortoroz
Period18-08-2718-08-30

Fingerprint

Taiwan
Industry
Questionnaire
Wilcoxon Signed Rank Test

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chen, D-C., & Chen, T. W. (2018). Developing the capability indicators for CNC machine R&D staff in Taiwan. In L. Lin, T-T. Wu, Y-M. Huang, Y-M. Huang, A. I. Starcic, & R. Shadieva (Eds.), Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings (pp. 223-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11003 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-99737-7_23
Chen, Dyi-Cheng ; Chen, Tzu Wen. / Developing the capability indicators for CNC machine R&D staff in Taiwan. Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. editor / Lin Lin ; Ting-Ting Wu ; Yueh-Min Huang ; Yueh-Min Huang ; Andreja Istenic Starcic ; Rustam Shadieva. Springer Verlag, 2018. pp. 223-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Chen, D-C & Chen, TW 2018, Developing the capability indicators for CNC machine R&D staff in Taiwan. in L Lin, T-T Wu, Y-M Huang, Y-M Huang, AI Starcic & R Shadieva (eds), Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11003 LNCS, Springer Verlag, pp. 223-230, 1st International Conference on Innovative Technologies and Learning, ICITL 2018, Portoroz, Slovenia, 18-08-27. https://doi.org/10.1007/978-3-319-99737-7_23

Developing the capability indicators for CNC machine R&D staff in Taiwan. / Chen, Dyi-Cheng; Chen, Tzu Wen.

Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. ed. / Lin Lin; Ting-Ting Wu; Yueh-Min Huang; Yueh-Min Huang; Andreja Istenic Starcic; Rustam Shadieva. Springer Verlag, 2018. p. 223-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11003 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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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Chen D-C, Chen TW. Developing the capability indicators for CNC machine R&D staff in Taiwan. In Lin L, Wu T-T, Huang Y-M, Huang Y-M, Starcic AI, Shadieva R, editors, Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings. Springer Verlag. 2018. p. 223-230. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-99737-7_23