정성적 기술평가의 신뢰성 향상을 위한 참조정보 생성 방법에 관한 실증연구

Abstract

Technology evaluation plays pivotal role in successful implementation of technology business financing. Despite its importance, the evaluation practice has largely been up to the expertise of evaluators performing qualitative analysis which is to large degree inevitable due to its inherent characteristics of the evaluation which assesses intangible asset. Therefore, technology evaluation institutions, including the Korea Technology Finance Corporation(KOTEC), have been attempting to enhance the efficiency of the evaluations by creating peer groups similar to the target firm to be evaluated in order to provide reference information to evaluators. However, such current approach has limitations in that it cannot reflect the specific features of the individual firms, perse. This study proposes a new methodology to generate more adequate reference information by factoring in different specificities of target firm and similar firms included in peer group in order to improve the efficiency of the technology evaluation. In the methodology, the peer group is, first of all, formed by collecting firms in terms of relevance, firms that shares similarities in nature to the target firm, and then the degree of similarity of each firm in the peer group is measured with a criteria that reflects internal and external characteristics of those firms. Finally, the methodology defines the averaged degree of similarities in each evaluation rating as density, and then generate the descriptive statistics and the distribution for the density as reference information. This study aims to improve the efficiency of qualitative evaluation work by providing more objective and statistical reference information. Using the suggested methodology, the reliability of the technology evaluation is expected to be improved with reduced variation stemming from the individual difference of the evaluators, subjectivity.