Application of factor analysis for service R&D classification: A case study on the Korean ICT industry
This paper introduces an application of factor analysis for classifying and illuminating the nature of distinct dimensions of service research and development (R&D) which are difficult to examine due to the unique characteristics of services. The application is based upon the concept that firms...
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| Veröffentlicht in: | Expert systems with applications 2011-03, Vol.38 (3), p.2119-2124 |
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| container_title | Expert systems with applications |
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| creator | Lee, Yeonhee Lee, Heyjin |
| description | This paper introduces an application of factor analysis for classifying and illuminating the nature of distinct dimensions of service research and development (R&D) which are difficult to examine due to the unique characteristics of services. The application is based upon the concept that firms would benefit from clarifying R&D and R&D-like activities to assist their R&D decision. Using principal component analysis (PCA) of factor analysis, a number of possibly correlated R&D activities is transformed into a smaller number of uncorrelated activities called principal components, and firms can identify the patterns of service R&D, express their similarities and differences, and develop its R&D portfolio. A case example for service R&D in the Korean ICT industry is provided. |
| doi_str_mv | 10.1016/j.eswa.2010.07.152 |
| format | Article |
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A case example for service R&D in the Korean ICT industry is provided.]]></description><subject>Analogies</subject><subject>Classification</subject><subject>Correlation analysis</subject><subject>Expert systems</subject><subject>Factor analysis</subject><subject>Illuminating</subject><subject>Korean ICT industry</subject><subject>Principal component analysis</subject><subject>Principal component analysis (PCA)</subject><subject>Research and development</subject><subject>Service R&D</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouH78AU85qZeuSZN2WvGyrJ8oCKLnkKYTzFLbNdNd2X9vlvXsZYYZnndgHsbOpJhKIcurxRTpx05zkRYCprLI99hEVqCyEmq1zyaiLiDTEvQhOyJaCCFBCJgwP1suu-DsGIaeD55768YhctvbbkOBuE8DYVwHh_zt_Ja7zhIF_5e45jPuLCGncdVueDoxfiJ_HiLanj_N33no2xWNcXPCDrztCE__-jH7uL97nz9mL68PT_PZS-ZUWYyZKvNGC4neap23oH3lLdQaGigcIECpWlU3hbBl01SNdEp6V8myVnmO4GqhjtnF7u4yDt8rpNF8BXLYdbbHYUWm0rWuRAEykZf_ksmPFIVONaH5DnVxIIrozTKGLxs3Rgqz1W8WZqvfbPUbASbpT6GbXQjTu-uA0ZAL2DtsQ0Q3mnYI_8V_Ab4FjYc</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Lee, Yeonhee</creator><creator>Lee, Heyjin</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20110301</creationdate><title>Application of factor analysis for service R&D classification: A case study on the Korean ICT industry</title><author>Lee, Yeonhee ; Lee, Heyjin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-362b401efa442d74f8fa7947b75c7e7763d39b50a6bb8b1c31fc8169322e7c903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Analogies</topic><topic>Classification</topic><topic>Correlation analysis</topic><topic>Expert systems</topic><topic>Factor analysis</topic><topic>Illuminating</topic><topic>Korean ICT industry</topic><topic>Principal component analysis</topic><topic>Principal component analysis (PCA)</topic><topic>Research and development</topic><topic>Service R&D</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Yeonhee</creatorcontrib><creatorcontrib>Lee, Heyjin</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Yeonhee</au><au>Lee, Heyjin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of factor analysis for service R&D classification: A case study on the Korean ICT industry</atitle><jtitle>Expert systems with applications</jtitle><date>2011-03-01</date><risdate>2011</risdate><volume>38</volume><issue>3</issue><spage>2119</spage><epage>2124</epage><pages>2119-2124</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract><![CDATA[This paper introduces an application of factor analysis for classifying and illuminating the nature of distinct dimensions of service research and development (R&D) which are difficult to examine due to the unique characteristics of services. 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| ispartof | Expert systems with applications, 2011-03, Vol.38 (3), p.2119-2124 |
| issn | 0957-4174 1873-6793 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Analogies Classification Correlation analysis Expert systems Factor analysis Illuminating Korean ICT industry Principal component analysis Principal component analysis (PCA) Research and development Service R&D |
| title | Application of factor analysis for service R&D classification: A case study on the Korean ICT industry |
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