Improving the performances of software for rating patent technology: A Korean case study

Abstract

Korean governments have established the infrastructure of technology evaluation as one of ways to promote technology transfer and commercialization because of fast growing demands of technology evaluation. Thus, they are in the middle of developing a web-based automatic evaluation tool called K-PEG and operating it in order to secure the speed and the objectivity of technology evaluation. This paper investigates the structure of K-PEG, the representative online automatic evaluation system of patents, and diagnoses its performance qualitatively. The paper also explores ways of K-PEG improvement by presenting qualitative evidences for them on the basis of both in-depth interviews and focus group interview. The concluding remarks focus on management implications to suggest strategies for both overcoming the intrinsic weaknesses of K-PEG and making a step forward.