Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes

Aymen A. Kayal

doi:10.1109/PICMET.2015.7273003

Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes

Aymen A. Kayal^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The R&D Intensity (RI) indicator is widely used by analysts and policymakers for international comparisons, benchmarking, and goal setting. It is believed that calculating a separate RI for each industrial class will reveal a more representative indication of the focus of various countries in that particular class. In this study, we named the disaggregated R&D Intensity 'Class-RI'. The study first investigated the indicator's validity by correlating it with an economic indicator at the manufacturing classes' level. A number of manufacturing classes were then singled out to identify which countries exhibited high RI. The study demonstrated the usefulness of Class-RI in ranking countries.

Original language	English
Title of host publication	PICMET 2015 - Portland International Center for Management of Engineering and Technology
Subtitle of host publication	Management of the Technology Age, Proceedings
Editors	Tugrul U. Daim, Dilek Cetindamar Kozanoglu, Dundar F. Kocaoglu, Timothy R. Anderson, Gary Perman, Kiyoshi Niwa
Publisher	Portland State University
Pages	313-321
Number of pages	9
ISBN (Electronic)	9781890843328
DOIs	https://doi.org/10.1109/PICMET.2015.7273003
State	Published - 21 Sep 2015

Publication series

Name	Portland International Conference on Management of Engineering and Technology
Volume	2015-September

Bibliographical note

Publisher Copyright:
© 2014 Portland International Conference on Management of Engineering and Technology.

ASJC Scopus subject areas

General Engineering
Strategy and Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PICMET.2015.7273003

Cite this

Kayal, A. A. (2015). Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes. In T. U. Daim, D. C. Kozanoglu, D. F. Kocaoglu, T. R. Anderson, G. Perman, & K. Niwa (Eds.), PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings (pp. 313-321). Article 7273003 (Portland International Conference on Management of Engineering and Technology; Vol. 2015-September). Portland State University. https://doi.org/10.1109/PICMET.2015.7273003

Kayal, Aymen A. / Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes. PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. editor / Tugrul U. Daim ; Dilek Cetindamar Kozanoglu ; Dundar F. Kocaoglu ; Timothy R. Anderson ; Gary Perman ; Kiyoshi Niwa. Portland State University, 2015. pp. 313-321 (Portland International Conference on Management of Engineering and Technology).

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title = "Using a disaggregated R\&D Intensity indicator to identify leading countries in specific manufacturing classes",

abstract = "The R\&D Intensity (RI) indicator is widely used by analysts and policymakers for international comparisons, benchmarking, and goal setting. It is believed that calculating a separate RI for each industrial class will reveal a more representative indication of the focus of various countries in that particular class. In this study, we named the disaggregated R\&D Intensity 'Class-RI'. The study first investigated the indicator's validity by correlating it with an economic indicator at the manufacturing classes' level. A number of manufacturing classes were then singled out to identify which countries exhibited high RI. The study demonstrated the usefulness of Class-RI in ranking countries.",

author = "Kayal, \{Aymen A.\}",

note = "Publisher Copyright: {\textcopyright} 2014 Portland International Conference on Management of Engineering and Technology.",

year = "2015",

month = sep,

day = "21",

doi = "10.1109/PICMET.2015.7273003",

language = "English",

series = "Portland International Conference on Management of Engineering and Technology",

publisher = "Portland State University",

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Kayal, AA 2015, Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes. in TU Daim, DC Kozanoglu, DF Kocaoglu, TR Anderson, G Perman & K Niwa (eds), PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings., 7273003, Portland International Conference on Management of Engineering and Technology, vol. 2015-September, Portland State University, pp. 313-321. https://doi.org/10.1109/PICMET.2015.7273003

Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes. / Kayal, Aymen A.
PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. ed. / Tugrul U. Daim; Dilek Cetindamar Kozanoglu; Dundar F. Kocaoglu; Timothy R. Anderson; Gary Perman; Kiyoshi Niwa. Portland State University, 2015. p. 313-321 7273003 (Portland International Conference on Management of Engineering and Technology; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kayal AA. Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes. In Daim TU, Kozanoglu DC, Kocaoglu DF, Anderson TR, Perman G, Niwa K, editors, PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. Portland State University. 2015. p. 313-321. 7273003. (Portland International Conference on Management of Engineering and Technology). doi: 10.1109/PICMET.2015.7273003

Using a disaggregated R&D Intensity indicator to identify leading countries in specific manufacturing classes

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this