nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2021‒04‒05
six papers chosen by
Giovanni Ramello
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”
  1. Hybrid Model for Patent Classification using Augmented SBERT and KNN By Hamid Bekamiri; Daniel S. Hain; Roman Jurowetzki
  2. Patent Auctions and Bidding Coalitions: Structuring the Sale of Club Goods By John Asker; Mariagiovanna Baccara; SangMok Lee
  3. Studying the impact of food values, subjective norms and brand love on loyalty: findings obtained at fast food restaurants in Mexico By Alicia Izquierdo–Yusta; María Pilar Martínez–Ruiz; Héctor Hugo Pérez–Villarreal
  4. Cognitive or Affective? A Dual Perspective of Consumer-Brand Relationship in Brand Activism By Samia Moumade; Aurélie Hemonnet-Goujot; Pierre Valette-Florence
  5. Collective Brand Reputation By Volker Nocke; Roland Strausz
  6. THE ERA OF “WOKE-WASHING”: HOW CONSUMERS PERCEIVE BRAND ACTIVISM? By Samia Moumade; Aurélie Hemonnet-Goujot; Pierre Valette-Florence
  1. By: Hamid Bekamiri; Daniel S. Hain; Roman Jurowetzki
    Abstract: Purpose: This study aims to provide a hybrid approach for patent claim classification with Sentence-BERT (SBERT) and K Nearest Neighbours (KNN) and explicitly focuses on the patent claims. Patent classification is a multi-label classification task in which the number of labels can be greater than 640 at the subclass level. The proposed framework predicts individual input patent class and subclass based on finding top k semantic similarity patents. Design/Methodology/Approach: The study uses transformer models based on Augmented SBERT and RoBERTa. We use a different approach to predict patent classification by finding top k similar patent claims and using the KNN algorithm to predict patent class or subclass. Besides, in this study, we just focus on patent claims, and in the future study, we add other appropriate parts of patent documents. Findings: The findings suggest the relevance of hybrid models to predict multi-label classification based on text data. In this approach, we used the Transformer model as the distance function in KNN, and proposed a new version of KNN based on Augmented SBERT. Practical Implications: The presented framework provides a practical model for patent classification. In this study, we predict the class and subclass of the patent based on semantic claims similarity. The end-user interpretability of the results is one of the essential positive points of the model. Originality/Value: The main contribution of the study included: 1) Using the Augmented approach for fine-tuning SBERT by in-domain supervised patent claims data. 2) Improving results based on a hybrid model for patent classification. The best result of F1-score at the subclass level was > 69%) Proposing the practical model with high interpretability of results.
    Date: 2021–03
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2103.11933&r=all
  2. By: John Asker; Mariagiovanna Baccara; SangMok Lee
    Abstract: Auctioneers of patents are observed to allow joint bidding by coalitions of buyers. These auctions are distinguished by the good for sale being non-rivalrous, but still excludable, in consumption{that is, they auctions of club goods. This affects how coalitional bidding impacts auction performance. We study the implications of coalitions of bidders on second-price (or equivalently, ascending-price) auctions. Although the formation of coalitions can benefit the seller, we show that stable coalition profiles tend to consist of excessively large coalitions, to the detriment of both auction revenue and social welfare. Limiting the permitted coalition size increases efficiency and confers benefits on the seller. Lastly, we compare the revenues generated by patent auctions and multi-license auctions, and we find that the latter are superior in a large class of environments.
    JEL: D44 D47 K21 L14 L24 L4 O34
    Date: 2021–03
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:28602&r=all
  3. By: Alicia Izquierdo–Yusta; María Pilar Martínez–Ruiz; Héctor Hugo Pérez–Villarreal
    Keywords: Theory of planned behaviour (TPB), food values, subjective norm, brand love, loyalty, fast food industry
    JEL: M31
    Date: 2021–03
    URL: http://d.repec.org/n?u=RePEc:ovr:docfra:2103&r=all
  4. By: Samia Moumade (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Aurélie Hemonnet-Goujot (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Pierre Valette-Florence (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)
    Abstract: While research dedicated to brand activism (BA) is growing, we still do not know how consumers perceive BA and how it influences their relationships with brands. This exploratory research aims at understanding the perception and reactions of consumers towards BA campaigns through a dual perspective-cognitive and affective. First, it contributes to better delineate the construct of BA from closely related constructs. Second, based on an AOL projective technique on two BA campaigns, this study reveals the potential role of psychological distance in consumer's perception of the brand's efforts in supporting a cause. From an affective viewpoint, brands gain legitimacy through BA, however, consumers could have potential feelings of scepticism towards inconsistent BA campaigns. From a cognitive perspective, this study displays dual incentives (collective and individual) for brands to adopt BA as a strategy, and the likely role of BA as a starting point for political changes.
    Keywords: Brand Activism,Consumer-Brand Relationship,Brand Relationship Quality Product and Brand Management
    Date: 2021–05–26
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-03180194&r=all
  5. By: Volker Nocke; Roland Strausz
    Abstract: We develop a theory of collective brand reputation for markets in which product quality is jointly determined by local and global players. In a repeated game of imperfect public monitoring, we model collective branding as a pooling of quality signals generated in different markets. Such pooling yields a beneficial informativeness effect for the actions of a global player present in all markets, but also harmful free-riding by local, market-specific players. The resulting tradeoff yields a theory of optimal brand size and revenue sharing, applying to platform markets, franchising, licensing, umbrella branding, and firms with team production.
    Keywords: Collective branding, reputation, free riding, repeated games, imperfect monitoring
    JEL: L14 L15 D20 D82
    Date: 2021–03
    URL: http://d.repec.org/n?u=RePEc:bon:boncrc:crctr224_2021_281&r=all
  6. By: Samia Moumade (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Aurélie Hemonnet-Goujot (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Pierre Valette-Florence (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)
    Date: 2021–05–19
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-03179685&r=all
This nep-ipr issue is ©2021 by Giovanni Ramello. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at http://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.
This page is being maintained by Thomas Krichel. It was last updated on 2023‒07‒08 at 14:25.