A Novel Methodology for Estimating Technology Value and Importance of Factors in Market-Based Approach

被引:0
作者
Yoon, Juho [1 ]
Bose, Aparajita [1 ]
Park, Hun [2 ]
Lee, Jongtaik [2 ]
Kim, Byunghoon [1 ]
机构
[1] Hanyang Univ, Dept Ind & Management Engn, Ansan 15588, South Korea
[2] Korea Inst Sci & Technol Informat, Div Data Anal, Seoul 02456, South Korea
基金
新加坡国家研究基金会;
关键词
feature selection; genetic algorithms; market approach; multivariate regression; technology valuation; SIMILARITY; SYSTEM; MODEL;
D O I
10.3390/systems11090439
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Technology valuation methods are classified into income-based, cost-based, and market-based approaches depending on the perspective of valuing technology. The market approach evaluates the value of technology by referring to cases in which similar technologies have been traded before. In this study, we use prior technology transaction data to estimate the technology value based on the market approach and to identify influential factors to the estimated value. To this end, we adopt a multivariate k-nearest neighbor (MKNN) regression model to accommodate mixed-type input variables aiming at estimating multivariate technology values, selecting influencing factors, and the relative importance of the selected factors. In addition, we can optimize the number of transaction cases k in k-NN regression. Our proposed regression model outperforms an embedding model with cosine similarity in predicting multivariate response variables. In addition, we illustrate how to select and assess the influential factors based on the real-life dataset.
引用
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页数:25
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