Ming-Yeu Wang

Applying Chance Discovery with Dummy Event in Technology Monitoring of Solar Cell

One of the green energy, solar cell, is growing rapidly; the monitoring of its technological situation becomes critical for the stakeholders nowadays. Meanwhile, the patent data contains plentiful technological information from which is worthwhile for exploring further knowledge. Therefore, a graph-based approach, chance discovery, is employed so as to analyze the patent data, to form the technological scenarios, and to explain the overview of solar cell technology. Finally, the relationships between technology and companies, between application and companies have been observed, and the strategic suggestions have been proposed accordingly.

Chance discovery with data crystallization for scenario formation in solar cell technology

As the solar cell, one of renewable energies, is growing at a fast pace, the recognition of its technological situation becomes necessary for a company and stakeholders nowadays. Meanwhile, the patent data contains plentiful technological information from which is worth exploring to extract further knowledge. Therefore, a graph-based approach, chance discovery, is employed so as to analyze the patent data, to form the technological scenarios, and to explain the tendency of solar cell technology. Finally, several topics of solar cell technology have been identified, the directions of each topic have been depicted, and the relations between topics have been also observed.

The valuation methods and applications for academic technologies in Taiwan

Many universities in Taiwan have taken action to commercialize and to license out academic technologies. During the processes of technology transfer, the determination of technological value greatly affects the successes of transfer. Although previous studies introduced several valuation methods for technologies, how Taiwanese universities execute the methods remains unknown. Therefore, this study aims at identifying the valuation methods used by Taiwanese universities, the concerns of usage, and the difficulties in implementing the valuation methods. After interviewing managers of Technology Transfer Offices in five universities, this study obtains that the universities typically use cost approach, market approach, income approach and auction to value the academic technologies. Among which, cost approach is the most widely used one. The difficulties suffered by Taiwanese universities include lacking staffs specialized in valuation, expensive valuation service by external consultants, and the restrictions by government regulations. Based on the interview findings and previous studies, this study further designs a technology valuation framework for Taiwan universities and applies the framework to valuing the vaccines of duck viral hepatitis owned by a Taiwan university. At last, this study offers suggestion for valuing academic technologies by integrating the results from interviews and the experiences in empirical applications.

Knowledge Flow Determinants of Patent Value: Evidence from Taiwan and South Korea Biotechnology Patents

Patents are important knowledge assets that enable firms to compete successfully and earn returns. To control spending on patent renewal fees, firms carefully analyze the value of their patents to determine whether patent rights need to be maintained, thereby rendering renewal decisions an opportunity to examine patent values. This study incorporates social network analysis and traditional patent indicators to empirically investigate the determinants affecting patent valuation by firms and research institutes in the Taiwanese and South Korean biotechnology industries. Results indicate that firms and research institutes value their patents differently. Certain indicators derived from knowledge flow and traditional patent indicators significantly affect patent value. Based on the findings, this study provides suggestions for policy-making.

Chance discovery in technology monitoring of solar cell using patent data

As the technology of solar cell is growing rapidly, the monitoring of its technological situation becomes crucial for the industry and companies as well as the relevant people nowadays. Meanwhile, the patent data contains abundant technological information from which is worthy of exploring to extract further knowledge. Therefore, a graph-based approach, chance discovery, is employed so as to analyze the patent data, to form the technological scenarios, and to explain the overview of solar cell technology. Finally, several features of solar cell technology have been identified and explained, including the meaningful topics, significant attributes within each individual topic, and relationships between technology and application.