Transform IP Strategy Into Intelligence
By Jieun Kim, Buyong Jeong, Daejung Kim
This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.
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Jieun Kim is an associate professor at the Graduate School of Technology and Innovation Management, Hanyang University. She received her M.S. and Ph.D. degrees in Industrial Engineering from the Arts et Métiers ParisTech in 2008 and 2011, respectively. In 2012, she was awarded the Leverhulme Research Fellowship (UK). She was a vising associate professor at Human Communication Technologies Lab, University of British Columbia in Vancouver from 2020 to 2021.
She is an experienced speaker at international conferences and Master’s programs in design innovation (Royal College of London, Ecole de design Nantes, Hong Kong Polytechnic University, National University of Singapore) and in business schools (ASB/MIT Sloan program, University of Nantes).
Buyong Jeong is a deputy director in the Korean Intellectual Property Office(KIPO). Before joining KIPO in 2015, he worked as a patent attorney at PLUS International IP Law firm (2009-2014).
He has been involved in various projects and policies for the Trademark & Design Examination bureau of KIPO. His legal and practical expertise is supported by his academic background, having obtaining bachelor's and master's degrees in Industrial design from KAIST (Korea Advanced Institute of Science and Technology).
Daejung Kim is a data scientist specializing in intellectual property and a senior lecturer at Hankyong National University. He holds a Ph.D. in technology and innovation management from Hanyang University.
He is a frequent speaker and consultant, and workshop leader in strategic technology and management solutions for many law firms and legal departments.
About the Book
Innovation unfolds in facets of our lives: in technology, design, business, etc. These areas are seemingly disjointed. However, through the innovative ways of analyzing, measuring and visualizing innovative indicators, we can gain pertinent business insight into the interconnection of these diverse fields.
Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals hidden connections in patent data by employing elaborate data analytics and visualizations using a network map. The milestone of 10 million US patents today, enables innovation practitioners to leverage the benefits of patents as big data.
Cross references between patents and collaborating inventor networks enable us to assess the reliance on and impact of patent data and to identify sources of innovation. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business.
We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.
Table of Content
What will you learn?
Different stakeholders approach patent data and analytics with different purposes. We define patent analytics as the data science of analyzing large amount of patent in-formation, to discover relationships, trends and patterns for decision making rooted in the business context. The importance of accommodating interdisciplinary view-points in patent analytics includes:
Business managers and professionals looking to improve their innovation portfolio and tooling with patent analytic techniques aiming to exploit highly detailed, accurate, and actionable insights on patent data to bolster informed decision-making.
Data analysts who seek to gain a deeper understanding of the special structures, knowledge, and economic values that underlie patent data and close the gap between big data analytics capacities and the particular needs of legal professionals.
Legal professionals need to harness the power of patent analytics to practically improve IP research and legal-services delivery and envisage the emerging legal technology landscape.
Jieun Kim Ph.D.
Professor, Graduate School of Technology & Innovation Management, Hanyang University
222 Wangsimli-ro, Hanyang University, Seoul, South Korea