Browsing by Author "Lee, Wen-Yi"

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A proactive technology selection model for new technology: The case of 3D IC TSV
(2016-02-01)
Hung, Chih-Young
;
Lee, Wen-Yi
;
科技管理研究所
;
Institute of Management of Technology
Many studies have addressed the issues of the evaluation and the selection of new technology. In this paper, we add to this literature by formulating a more general model that incorporates the evaluation, the selection and the improvement of new technology. The improvement of new technology refers to the modification of the development of the underlying technology. We accomplish this by combining an Importance-Score Report for each of the factors of the new technology to the adopting firm and a Performance-Score Report of the alternative new technologies\' performance on each of the factors into a two-dimensional graph. This graph helps to reveal the specific factors of the new technology for the adopting firm to work on improving. Processes such as this will be an informative and powerful planning tool for decision maker when choosing among competing new technologies. We then use a case of selecting a 3D IC TSV technology for a Taiwanese IC manufacturer to illustrate the application of the PTSM. Three critical factors of the 3D IC TSV technology were then identified for improvement. (C) 2015 Elsevier Inc. All rights reserved.
A proactive technology selection model for new technology: The case of 3D IC TSV
(2016-02)
Hung, Chih-Young
;
Lee, Wen-Yi
;
科技管理研究所
;
Institute of Management of Technology
Many studies have addressed the issues of the evaluation and the selection of new technology. In this paper, we add to this literature by formulating a more general model that incorporates the evaluation, the selection and the improvement of new technology. The improvement of new technology refers to the modification of the development of the underlying technology. We accomplish this by combining an Importance-Score Report for each of the factors of the new technology to the adopting firm and a Performance-Score Report of the alternative new technologies\' performance on each of the factors into a two-dimensional graph. This graph helps to reveal the specific factors of the new technology for the adopting firm to work on improving. Processes such as this will be an informative and powerful planning tool for decision maker when choosing among competing new technologies. We then use a case of selecting a 3D IC TSV technology for a Taiwanese IC manufacturer to illustrate the application of the PTSM. Three critical factors of the 3D IC TSV technology were then identified for improvement. (C) 2015 Elsevier Inc. All rights reserved.
Diversified portfolios with different entropy measures
(2014-08-15)
Yu, Jing-Rung
;
Lee, Wen-Yi
;
Chiou, Wan-Jiun Paul
;
科技管理研究所
;
Institute of Management of Technology
One of the major issues for Markowitz mean-variance model is the errors in estimations cause "corner solutions" and low diversity in the portfolio. In this paper, we compare the mean-variance efficiency, realized portfolio values, and diversity of the models incorporating different entropy measures by applying multiple criteria method. Differing from previous studies, we evaluate twenty-three portfolio over-time rebalancing strategies with considering short-sales and various transaction costs in asset diversification. Using the data of the most liquid stocks in Taiwan\'s market, our finding shows that the models with Yager\'s entropy yield higher performance because they respond to the change in market by reallocating assets more effectively than those with Shannon\'s entropy and with the minimax disparity model. Furthermore, including entropy in models enhances diversity of the portfolios and makes asset allocation more feasible than the models without incorporating entropy. (C) 2014 Elsevier Inc. All rights reserved.
Modeling Transaction Costs and Skewness in Portfolio: Application of Fuzzy Approach
(2013)
Yu, Jing-Rung
;
Chiou, Wan-Jiun Paul
;
Chang, Wei-Yuan
;
Lee, Wen-Yi
;
科技管理研究所
How to deal with errors in estimating return and trading costs is a critical issue in portfolio management. In this paper, we investigate the over-time rebalancing benefits of the portfolio models that consider mean, variance, skewness, allowing short-sale, and transaction costs by incorporating fuzzy decision making. We apply multiple criterion method to deal with the complexity of various objectives. Our empirical results using 144 stocks in Taiwan Stock Exchange confirm the benefits of fuzzy decision making with inclusion of higher moment risk, skewness, in portfolio model, particularly when short-sale is allowed.