Combined with the Industrial Patent Classification, Patent Information, and Knowledge Redundancy to Explore Firm M&A Intent:Speech Recognition Technologies

碩士 === 國立雲林科技大學 === 企業管理系 === 102 === With the development of technology and the rapid evolution of the Internet. Cloud computing concept has been updated in recent years. In this study, using keywords on the way to construct cloud computing industry patents and the way of Patent Co-Citation App...

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Bibliographic Details
Main Authors: Sheng-Wei Chang, 張升瑋
Other Authors: Kuei-Kuei Lai
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/xsqnu4
Description
Summary:碩士 === 國立雲林科技大學 === 企業管理系 === 102 === With the development of technology and the rapid evolution of the Internet. Cloud computing concept has been updated in recent years. In this study, using keywords on the way to construct cloud computing industry patents and the way of Patent Co-Citation Approachpatent (PCA) to extract important patents, and according to the data set content to do clustering technologies.choose the fastest growing technology trends in the field of voice recognition technology as study. This study select speech recognition technology industry and use patent indicators to conduct a more in-depth study in order to observe the patent technical knowledge relationships, knowledge redundancy degree, and the relative position between major companies in the particular technology area. This study expects to help enterprises reduce decision risk through scientific methods.Provide business owners with reference to the validity of this assessment. And from each location to analyze the company's knowledge of the speech recognition industry overview and future trends.