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28 results on '"Wang, Ming Yeu"'

1. Exploring Technology Opportunities with a Deep Learning-Based Clustering Approach: The Case of Pyrolysis Technology for Recycling Plastic Wastes.

Author

Wang, Ming-Yeu

Subjects
PLASTIC recycling, WASTE recycling, SCIENTIFIC literature, METAL wastes, METAL recycling, PLASTIC scrap recycling, PLASTIC scrap
Abstract

With the rapidly changing business environment, the dynamic capability of an enterprise begins with sensing and grasping technology opportunities. Considering that the knowledge gaps between science and technology hinder the exploration of technology opportunities, previous studies proposed methods to extract technology opportunities by identifying the knowledge gaps between science and technology literature. This study improves upon previous methods for identifying knowledge fields contained in the literature by introducing a deep learning-based clustering approach. This study also proposes a way to reduce experts' workloads in determining gaps in the field between science and technology literature. The key idea of the proposed method is to include technologies other than the technology in question. Additionally, pyrolysis technology can convert plastic wastes into useful materials and is considered a green technology. Therefore, this study applies our improved method to explore the technology opportunities of pyrolysis technology. The results show that our method can effectively identify technology opportunities. In the case of plastic wastes, the results show that recovering carbon fibers from plastic wastes and recycling metals from e-waste plastics are expected to be prevailing technological fields. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Applying Chance Discovery with Dummy Event in Technology Monitoring of Solar Cell

Author

Chiu, Tzu-Fu, Hong, Chao-Fu, Wang, Ming-Yeu, Hsu, Chia-Ling, Chiu, Yu-Ting, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Chien, Been-Chian, editor, Hong, Tzung-Pei, editor, Chen, Shyi-Ming, editor, and Ali, Moonis, editor

Published
2009
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8. Combined forecast process: Combining scenario analysis with the technological substitution model

Author

Wang, Ming-Yeu and Lan, Wei-Ting

Subjects
High technology industry, Social sciences
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.techfore.2005.08.002 Byline: Ming-Yeu Wang (a), Wei-Ting Lan (b) Keywords: Combining forecast; Scenario analysis; Technological substitution model; Fiber to the x Abstract: Forecasts can be improved by combining separate forecasts obtained by different methods. The complementary nature of the scenario analysis and technological substitution models means that combining the two can obtain improved forecasts. The former has the strength of dealing with the uncertain future, while the later offers data-based forecasts of quantifiable parameters. This study thus proposes a process for combining the scenario analysis with the technological substitution model for discussing new generation technological developments. The proposed process not only has the strengths of scenario analysis, but also contains features that scenario analysis lacks, including predicting annual developments for future years, considering old technology development, and forecasting substitution of old technologies. This study uses the forecast of the market share of Fiber to the x in Taiwan over the next ten years as an example illustrating the proposed combined forecast process. Author Affiliation: (a) Department of Industrial Management, Aletheia University, 32 Chen-Li Street, Tamsui, 251, Taipei, Taiwan, ROC (b) Industrial Economics and Knowledge Center, Industrial Technology Research Institute, Rm. 101, Bldg. 10, 195 Sec. 4, Chung Hsing Rd., Chutung, Hsinchu 310, Taiwan, ROC Article History: Received 15 December 2003; Revised 20 July 2005; Accepted 1 August 2005

Published
2007

11. Identifying technology trends for R&D planning using TRIZ and text mining

Author

Wang, Ming-Yeu, Chang, Dong-Shang, and Kao, Chih-Hsi

Subjects
Memory (Computers), Data mining, Semiconductor memory, Data warehousing/data mining, Business, Business, general
Abstract

To authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1467-9310.2010.00612.x Byline: Ming-Yeu Wang (1), Dong-Shang Chang (2), Chih-Hsi Kao (2) Abstract: The current pace of technological development has forced many companies to invest significant capital and resources in research and development (R&D) activities. A systematic and efficient method of identifying technology trends and their evolutionary potentials can help companies guide their R&D planning and wisely allocate their R&D resources. This study proposes a framework combining the evolutionary trends developed by the Theory of Inventive Problem Solving, or Teoriya Reshniya Izobretatelskikh Zadatch (TRIZ) in Russian, with the visualization technique of text mining to systematically identify technology trends from patent documents. As technological information in patent documents is stored almost entirely in text format, the text mining method allows R&D personnel to efficiently identify technology trends and effectively conduct R&D planning. Utilizing text mining method on patents of magnetic random access memory (MRAM) systems and the underlying principles of TRIZ evolutionary trends, this study shows that MRAM includes 10 important technology trends. These trends have almost reached the evolutionary limit phase defined by TRIZ, which means that MRAM is fast becoming a mature technology. Therefore, for businesses that intend to acquire MRAM technology they do not possess, a wise R&D plan may be licensing the technology, buying the technology from others, or participating in a joint venture rather than using in-house R&D. Author Affiliation: (1)Department of Bio-industry and Agribusiness Administration, National Chiayi University, 580, Sinmin Rd., Chiayi 600, Taiwan, ROC.mywang@mail.ncyu.edu.tw (2)Department of Business Administration, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 320, Taiwan, ROC.dschang@cc.ncu.edu.tw;964401023@cc.ncu.edu.tw

Published
2010

12. The influential factors for the effectiveness of international strategic alliances of high-tech industry in Taiwan

Author

Yuan, Benjamin and Wang, Ming-Yeu

Subjects
Technology transfer -- International aspects, Business, international, High technology industry, Science and technology
Abstract

There are many critical factors that could determine the level of success of strategic alliances between Taiwanese and foreign corporations. These factors include the companies' rates of product innovations and market competition, stage of life-cycle, number of employees, enterprise chain value, capital and export ratio. However, the most influential factor is the level of cooperation shown by the companies involved in the alliance.

Published
1995

15. The influential factors for the effectiveness of international strategic alliances of high-tech industry in Taiwan

Author

Yuan, Benjamin and Wang, Ming-Yeu

Subjects
High technology industry -- Alliances and partnerships, High technology industry -- Management, Company business management, Business, international, High technology industry, Science and technology
Abstract

Byline: Benjamin Yuan, Ming-Yeu Wang Today, the competitive environment faced by an enterprise is a gradually integrating global market. Trying to break through the limitation of individual resources, many enterprises in the world are forming strategic alliance with each other. The influential factors for the effectiveness of international strategic alliance have been studied with statistical analysis as the tool. The companies examined are based in the Hsinchu Science-based Industrial Park in Taiwan, and the studied attributes include scale, the industrial environment and the relative competence. The attitude of the company and its actual practice are found to be the key factors for the success of the alliance.

Published
2009

21. Analysis on the key factors influencing competitive advantages of DRAM industry in Taiwan

Author

Yuan, Benjamin J.C. and Wang, Ming Yeu

Subjects
Semiconductor industry -- Case studies, International competition (Commerce) -- Case studies, Business, international, High technology industry, Science and technology
Abstract

The major factors that influence the competitive advantages of Taiwan's dynamic random access memory (DRAM) industry are analyzed. In analyzing these factors, a framework was established and relevant secondary data were collected and examined. Based on a questionnaire summary of these factors, expert interviews were conducted with the executives and engineers in Taiwan's DRAM industry. Some strategic focus on the country's DRAM industry in the future are also discussed.

Published
1999

25. Influential factors of the commercialization of academic patents: The Taiwan experience.

Author

Wang, Ming-Yeu, Lin, Jie-Heng, and Lo, Hsien-Chen

Abstract

Universities are sources of knowledge creation. They play the role of conducting basic research, and the research results lay a foundation for subsequent technology developments and commercialization. Compared to foreign top universities, Taiwanese universities have a weak capability to convert research results into commercial products, and they yield a lower value after cooperating with enterprises. Patents are an important output of research results, so this study attempts to find the influential factors for the commercialization of academic patents. This study investigated the centers for technology licensing and patenting in Taiwan universities and used the results from expert interviews and a literature review to derive five major influential dimensions: policy and environment, the market, academic organizations, inventors, intellectual property, and technology. This study used the analytical hierarchy process to derive the importance of the dimensions and evaluation criteria. The results show that the market is the most influential factor for commercialization of patents. The results indicated that different cognitions exist between the industry and academic institutions in Taiwan. Finally, this study proposed suggestions for universities in Taiwan to help them make strategies for patent commercialization. Universities that implement patent commercialization can refer to these suggestions. [ABSTRACT FROM PUBLISHER]

Published
2012

26. Determinants of patent renewal decisions by patent indicators and social network analysis: The case of the biotech industry in Taiwan and Korea.

Author

Wang, Ming-Yeu, Lo, Hsien-Chen, Liao, Yu-Yin, and Lin, Pei-Yi

Abstract

Patents are important knowledge assets that allow firms to defend against rivals and earn returns in a competitive environment. To maintain the rights of patents in force, firms must regularly pay renewal fees, which are a burden for R&D spending. Firms must cautiously examine the value of their patents in order to determine whether to maintain their legitimacy, thus controlling the R&D cost. The renewal decisions of firms open up an opportunity for economists and researchers to estimate the patent value. Research on patent renewal has tended to estimate patent value through patent indicators such as backward and forward citations; however, the knowledge flow among patents has not been considered. This study incorporated social network analysis to determine patent value by examining the dissemination of information mastered by a patent within the patent citation network. This study proposed that a patent that vigorously disseminates knowledge is economically valuable because it is a knowledge bridge. The study collected biotech patents in Taiwan and Korea that were granted by the US Patent and Trademark Office between 1994 and 2006. The empirical results showed that the technology knowledge momentum indicators obtained by social network analysis and a number of patent indicators provided significantly different effects on the patent renewal decisions of both Taiwanese and Korean firms and research institutes. Based on the findings, this study provided some guidelines for policy-making. [ABSTRACT FROM PUBLISHER]

Published
2012

27. Exploring knowledge flows of network on patent of dye sensitized solar cell.

Author

Chen, James K. C., Wang, Ming-Yeu, Chen, Yi-Ren, and Chen, Yu-shan

Abstract

Research on Green Energy Industry becomes one of the main fields in many countries that focus on global warming and energy shortage since in recent years. Green Energy Industry is for reducing the crisis of global warming and finding the alternative energy sources to solve the issue of energy shortage. In the past, the limited raw material was confined by geographical factors. Green industry was not effectively distributed over the world, but the industry proactively and continuously innovates the research to overcome existing problems. In recent years, the advanced technology of Dye-Sensitized Solar Cell has been used. It made solar energy industry step into the third generation of innovation, and highlight the importance of solar energy industry. By using patent citing, it helps to understand the technology development and knowledge flows become a main trend. This study was based on the U.S.A patent database collection data of the third-generation Dye-sensitized Solar Cell with the five countries, United States, Japan, Germany, Spain and Taiwan. Through the structural analysis, it explored patentees and company matrix with social network analysis method. By this method, practitioners can understand the patentees, technology development and activities of knowledge flow from these five countries. This study discovered that Japan is the master country on Dye-sensitized Solar Cell industry. The main patent technology number is H01G009. In addition to the knowledge which flows between the research unit, subsidiary and patent company, this study expected to provide a reference for the industry, government and academia so that they will understand the importance of the knowledge, specialist cultivation and future development in Dye-sensitized Solar Cell industry. [ABSTRACT FROM PUBLISHER]

Published
2012

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