An Analysis Of Patent Litigation Statistics

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An Analysis of Patent Litigation Statistics

Author: United States. Congress. Senate. Committee on the Judiciary
language: en
Publisher:
Release Date: 1961
The economic analysis of patent litigation data

Author: World Intellectual Property Organization
language: en
Publisher: WIPO
Release Date: 2018
Enforceability of patent rights is the backbone of the patent system. We review differences in the way patent litigation systems are designed across jurisdictions. We also discuss challenges in collecting and accessing patent litigation data as well as their economic analysis. We provide some descriptive analysis of patent litigation in the U.S. and UK for the period 2010-2016 and 2007-2013, respectively. We also analyze administrative post-grant validity challenges in form of the inter partes review in the U.S. and oppositions at the EPO.
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

Author: Bijay Kumar Kandel
language: en
Publisher: Springer Nature
Release Date: 2023-12-26
This is an open access book. In the current situation of rapid economic development, the competition in the market is increasingly fierce. The drawbacks of traditional enterprise management and the backward management concept have seriously hindered the normal development of enterprises. In order to improve their competitive advantages and market share, enterprises must optimize their management methods and build a modern business administration system. In this situation, enterprises can only promote their development process by improving their business management mode and formulating scientific business management policies. Data science is one of the most important tools for optimizing business administration. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract value from data. Data scientists use a combination of skills (including statistics, computer science and business knowledge) to analyze data collected from the Web, smartphones, customers, sensors and other sources. Data is the cornerstone of innovation, and data scientists gather information from data, discovering hidden trends from raw data and generating insights that companies can use to transform business problems into research projects that can then be translated back into practical solutions. Based on this, BADS 2023 discusses the state of modern business administration and the corresponding improvement measures in the context of the current reality, and It also provides a platform for scholars in related fields to exchange and share information, discuss how the two affect each other, and promote the modernization of business administration by studying certain business administration issues. To open new perspectives, broaden horizons, and examine the issues being discussed by the participants. Create an international-level forum for sharing, research and exchange that will expose participants to the latest research directions, results and content in different fields, thus inspiring them to come up with new research ideas.