Browse > Article
http://dx.doi.org/10.5392/JKCA.2021.21.10.090

A Study on Technology Evaluation Models and Evaluation Indicators focusing on the Fields of Marine and Fishery  

Kim, Min-Seung (연세대학교(미래))
Jang, Yong-Ju (연세대학교(미래))
Lee, Chan-Ho (연세대학교(미래))
Choi, Ji-Hye (연세대학교(미래))
Lee, Jeong-Hee (연세대학교(미래))
Ahn, Min-Ho (해양수산과학기술진흥원)
Sung, Tae-Eung (연세대학교(미래))
Publication Information
The Journal of the Korea Contents Association / v.21, no.10, 2021 , pp. 90-102 More about this Journal
Abstract
Technology evaluation is to assess the ability of technology commercialization entities to generate profits by using the subject technology, and domestic technology evaluation agencies have established and implemented their own evaluation systems. In particular, the recently developed technology evaluation model in the fields of marine and fishery does not sufficiently reflect the poor environment for technology development compared to other industries, so it does not pass the level of T4 rating, which is considered appropriate for investment. This is recognized as a challenge that occurs when the common evaluation indicators and evaluation scales used in other industries, and when the scoring system for T1 to T10 grading is similarly or identically utilized. Therefore, through this study, we intend to secure the appropriateness and reliability of the results of the comprehensive rating calculation by developing technology evaluation models and indicators that well explain the nine marine and fisheries industry classification systems. Based on KED and technology evaluation case data, AHP-based index weighting and Monte Carlo simulation-based rating system are applied and the results of case studies are verified. Through the proposed model, we aim to enhance the usability of R&D and commercialization support programs based on fast, convenient and objective evaluation results by applying to upcoming technology evaluation cases.
Keywords
Marine Fishery; Technology Evaluation; Grade Calculation; Evaluation Indicators; Weight; Data-driven; Monte Carlo;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. Yongtae and P. Gwangman, "A new method for technology valuation in monetary value: procedure and application," Technovation, Vol.24, No.5, pp.387-394, 2004.   DOI
2 기술보증기금, 투자용 기술평가모형 개발, 2015.
3 김정흠, "기술가치평가의 개요," 한국기술혁신학회 학술대회논문집, 제1권, 제10호, 1999.
4 박순철, 양동우, "기술평가지표와 기술사업화 성패간의 관계에 관한 실증연구," 대한경영학회지, 제23권, 제1호, pp.41-63, 2010.
5 박종오, "개별기술 등급평가 모델과 평가 사례," 기술혁신학회지, Vol.3, No.1, pp.55-67, 2000.
6 이준원, 윤점열, "기술력 평가모형의 기술금융 활용 적합성 연구," 기술혁신학회지, Vol.20, No.2, pp.292-312, 2017.
7 전우정, 중소기업가치평가에 관한 실증연구 - 기술가치평가 및 기술력평가 중심으로, 대전대학교, 박사학위논문, 2018.
8 농업기술실용화재단, 농림수산식품업 기술력 등급평가 모델, 2011.
9 한국지식재산연구원, 기술금융 활성화를 위한 기술신용평가시스템 발전방안, 2014(11).
10 이종혁, 기술평가제도의 활성화방안에 관한 연구, 서강대학교 경제대학원, 석사학위논문, 2005.
11 C. Yu-Jing and C. Yuh-Wen, "Using AHP in patent valuation," Mathematical and Computer Modelling, Vol.46, No.7-8, pp.1054-1062, 2007.   DOI
12 황순환, 기술기반 기업신용평가 활성화를 통한 중소기업 지원확대, 기보저널, 2004.
13 해양수산과학기술진흥원, 해양수산 기술평가체계 구축, 2014.11.
14 안민호, 김광훈, 서주환, 김상국, "해양수산 산업의 특수성과 불확실성을 반영한 시뮬레이션 기반의 기술력평가 모형개발과 시범사례 연구," 한국기술혁신학회 추계학술대회논문집. 제2권, pp.289-393, 1999.
15 I, Alfredo and Z, Fernando, "Monte Carlo Valuation of American Options through Computation of the Optimal Exercise Frontier," Journal of Financial and Quantitative Analysis, Vol.29, No.2, pp.253-275, 2004.
16 J. Sukirty, S. Sanyam, and W. Rajesh, "Dynamic selection of normalization techniques using data complexity measures," Expert System with Application, Vol.106, No.15, pp.252-262, 2018.   DOI