Unfair Competition in the Field of Intellectual Property Rights: Analyzing Concepts, Acts of Unfair Competition and Laws
Notice bibliographique
Résumé
This study aims to analyze Unfair Competition in the field of Intellectual property rights. This research seeks to explore and show how the concept of unfair Competition interferes in the area of intellectual property rights. Furthermore, we have investigated how competition law and intellectual property rights interfere with each other. The research evaluates unfair competition practices in the scope of intellectual property rights, referring to specific international laws directly related to each course. Finally, it examines the regulatory system that governs these sectors. Reference is made particularly to the Chinese Anti-Unfair Competition Law and other international laws on trademark practices. As far as the study's methodology is concerned, qualitative data analysis is applicable alongside with comparative legal method for analyzing "de lege lata" and "de lege feranda" situations in a range of the concluded topic. The study finds out that Unfair Competition in the domain of Intellectual Property rights involves actions by an operator that infringe the legislation's rules, harm operators' legitimate rights and interest on the market, thereby threatening socio-economic order. The study concluded that Unfair Competition acts in the field of Intellectual Property rights (like Industrial espionage, infringement of trade secrets, trademark infringement) impede innovation, stifle, and affect Competition in the real market. And the occurrence of these Unfair Competition practices is common, even though there are existing legal frameworks that regulate this sector. The research reveals an international regulatory system such as the Paris Convention 1883, the Patent Act 1977, and the Espionage Act 1996 have specific and statutory laws that target unfair competition practices. The Chinese Anti-Unfair Competition Act 1993 forbids unfair Competition in intellectual property rights and defends operators and citizens from unfair competition practices. The study also deduces that the existing legal framework regulating this sector is practical to a small extent because these Unfair Competition Practices are still very much detectable in the trade sector. As most legal frameworks dwell on civil liabilities instead of criminal penalties, operators can easily violate the law by relying on whether they can afford the civil penalties. There are recent amendments to adjust and adapt to the evolution of patterns and daily market innovations (Example: Amendment of the Chinese Anti-Unfair Competition Law in 2003). We concluded the study by bringing in suggestions and recommendations. Qualitative research methodology applies to the following article.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».