Abstract
Knowledge intensive business services (KIBS) are mainly concerned with providing knowledge-intensive inputs to the business processes of other organizations. This paper aims to measure and compare performance of innovation of KIBS firms using data envelopment analysis in terms of overall innovation efficiency, technological innovation efficiency, and non-technological innovation efficiency. Korea Innovation Survey 2006 data are employed for empirical analysis. Using obtained three types of innovation efficiency of individual KIBS firms, two approaches are adopted for analyzing innovation in KIBS. Firstly, ranking approach compares innovation performance of pre-defined three sub-sectors of KIBS: Computer and related activities, R&D activities, and other business activities. Secondly, the classificatory approach is employed to categorize KIBS firms by their patterns of innovation efficiency. As a results, six clusters of KIBS firms are derived: Technological innovator, Technological catch-up player, Best performer, Worst performer, Non-technological innovator, and Non-technological catch-up player. This research is expected to provide fruitful implications for formulating innovation strategy of KIBS firms and making innovation policies of KIBS.
| Translated title of the contribution | Measuring performance of innovation in knowledge intensive business services (KIBS): A DEA approach |
|---|---|
| Original language | Korean |
| Pages (from-to) | 129-144 |
| Number of pages | 16 |
| Journal | 한국경영공학회지 |
| Volume | 16 |
| Issue number | 3 |
| State | Published - Nov 2011 |