JOURNAL ARTICLE
From Patents to Trademarks: Navigating Value Transference, Successor Products, and Time in the Integration of Intellectual Property Rights.
Published In: International Journal of Innovation & Technology Management, 2024, v. 21, n. 6. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Bican, Peter M. 3 of 3
Abstract
Innovative firms are threatened by price-based generic competition, particularly following patent expiration. To combat the so-called "patent cliff" that occurs at patent expiry, some firms are turning to a strategic approach known as value transference. This integrative intellectual property strategy involves transferring the value of a limited life right, such as from a patented invention, to other forms of intellectual property rights, like trademarks. If utilized appropriately, these trademarks can preserve this value indefinitely. The theoretical considerations in my study suggest that an integrated intellectual property rights strategy can enhance financial performance following generic entry. With this paper, I derive propositions to model this effect of strategic intellectual property rights integration. Further, my model extends the analysis of value transference to successor products. It indicates that expanding intellectual property integration strategies beyond its original boundaries to successor offerings amplifies this positive effect. Further, time is identified as imperative for successful intellectual property integration. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Innovation & Technology Management. 2024/10, Vol. 21, Issue 6, p1
- Document Type:Article
- Subject Area:Law
- Publication Date:2024
- ISSN:0219-8770
- DOI:10.1142/S0219877024500457
- Accession Number:180974381
- Copyright Statement:Copyright of International Journal of Innovation & Technology Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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