An Algorithmic Links With Probabilities Concordance For Trademarks With An Application Towards Bilateral Ip Flows
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An "Algorithmic Links with Probabilities" Concordance for Trademarks For Disaggregated Analysis of Trademark and Economic Data
Author: World Intellectual Property Organization
language: en
Publisher: WIPO
Release Date: 2014
The authors propose an ‘Algorithmic Links with Probabilities’ (ALP) approach to match Trademarks (TMs) data to economic data and enable these data to speak to each other. Specifically, they construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, the authors apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. They also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications.
An 'Algorithmic Links with Probabilities' Concordance for Trademarks with an Application Towards Bilateral IP Flows
Trademarks (TMs) shape the competitive landscape of markets for goods and services in all countries. As a key element of branding, they can inform consumers about the quality and content of goods and services. Yet, researchers are largely unable to conduct rigorous empirical analysis of TMs in the global economy because TM data and economic data are organised differently and cannot be analysed jointly at the industry or sector level. We propose an 'algorithmic links with probabilities' (ALP) approach to match TM data to economic data and enable joint analysis with these data. Specifically, we construct a NICE class-level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyse differences in TM usage across both economic and TM sectors. We apply this ALP concordance for TMs to characterise patterns in TM registrations across countries and industries and to investigate some key determinants of international technology flows by comparing bilateral TM registrations and bilateral patent grants. We find that international patenting and TM flows are jointly determined by trade-related influences with significant differences in intellectual property usage across industry sectors and income levels.
Trademarks and Their Role in Innovation, Entrepreneurship and Industrial Organization
Trademarks are the most widely used intellectual property right by companies worldwide. Their strategic importance is increasing, as reputational assets become more relevant for companies than ever, in national and global markets. Trademarks also represent key tools for companies to profit from innovation and can make the difference for start-ups and entrepreneurial firms by allowing them to gain legitimacy and fostering fund raising from investors. This book Trademarks and Their Role in Innovation, Entrepreneurship and Industrial Organization takes stock of the emerging academic research on how companies use trademarks. It collects a rich set of contributions from several research perspectives and disciplines and proposes an integrated view bridging different levels of analysis: individual, firm, industry, and country level. Specifically, the book combines an industrial organization, innovation, and entrepreneurship perspective to understand why, when and with what effects entrepreneurs, innovators, and firms use trademarks. The book is targeted toward academic readers to gain a better understanding of the emerging and interdisciplinary field of trademark research as well as interested practitioners from the area of intellectual property (IP) management and policy-making. The chapters in this book were originally published in Industry and Innovation.