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http://dx.doi.org/10.7838/jsebs.2017.22.3.087

Classification of Performance Types for Knowledge Intensive Service Supporting SMEs Using Clustering Techniques: Focused on the Case of K Research Institute  

Lee, Jungwoo (Graduate School of Management Consulting, Hanyang University)
Kim, Sung Jin (Graduate School of Management Consulting, Hanyang University)
Kim, Min Kwan (Institution of Knowledge Services, Hanyang University)
Yoo, Jae Young (Korea Institute of Science and Technology Information)
Hahn, Hyuk (Korea Institute of Science and Technology Information)
Park, Hun (Korea Institute of Science and Technology Information)
Han, Chang-Hee (Department of Business Administration, Hanyang University)
Publication Information
The Journal of Society for e-Business Studies / v.22, no.3, 2017 , pp. 87-103 More about this Journal
Abstract
In recent years, many small and medium-sized manufacturing companies are making process innovation and product innovation through the public knowledge services. K Research institute provides different types of knowledge services in combination and due to this complexity, it is difficult to analyze the performance of knowledge service programs precisely. In this study, we derived performance items from bottom-up viewpoints, rather than top-down approaches selecting those items as in previous performance analysis. As a result, 74 items were finded from 82 companies in the K Research Institute case book, and the final result was refined to 17 items. After that a case-performance matrix was constructed, and binary data was entered to analyze. As a result, three clusters were identified through K-means clustering as 'enhancement of core competitiveness (product and patent),' 'expansion of domestic and overseas market,' and 'improvement of operational efficiency.'
Keywords
Knowledge Intensive Services; Performance Analysis; Clustering; Classification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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