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نتیجه جستجو - اسرار تجاری

تعداد مقالات یافته شده: 3
ردیف عنوان نوع
1 Research on the dilemma and improvement of legal regulation for unfair competition related to corporate data in China
تحقیق در مورد معضل و بهبود مقررات قانونی برای رقابت ناعادلانه مربوط به داده های شرکتی در چین-2020
Corporate data disputes have been rising rapidly in recent years in China. Courts typically apply the trade secret clause, the Internet clause, and the general clause under the Anti- Unfair Competition Law of PRC to the disputes. However, there are some limitations and problems, including the limited scope of the trade secret clause, the difficulty in interpretation of the Internet clause, and short of sufficient demonstration of the general clause, all leading to the lack of clear rules and guidelines for solving corporate data competition issue. The property nature of corporate data and the business operators’ factual control of the data necessarily require standard legal protection. Corporate data is not the property right, but the property interest protected under the Anti-Unfair Competition Law. For further legal positioning of the corporate data, the paper refers to the trade secret clause’s legislative principles. The paper also learns from the United States and Japan that both in- formation misappropriation rule and newly established ‘shared data with limited access’ provision protect corporate data under their anti-unfair competition law. The paper concludes by providing judicial and legislative suggestions to pave the way for corporate data protection in China. At the judicial level, Chinese courts should clarify the specific application conditions of the general clause. At the legislative level, enacting new legislation ‘data clause’ into the Anti-Unfair Competition Law is necessary to regulate unfair competition behaviors related to corporate data.© 2021 Huaiyin Zhang, Yanhong Lou, Kui Cai. Published by Elsevier Ltd. All rights reserved.
Keywords: Corporate data | Unfair competition | Trade secrets | Property interests | Data clause
مقاله انگلیسی
2 Snatched secrets: Cybercrime and trade secrets modelling a firms decision to report a theft of trade secrets
اسرار ربوده شده: جرایم سایبری و اسرار تجاری مدل سازی تصمیم یک شرکت برای گزارش سرقت اسرار تجاری-2019
Cybercrime and economic espionage are increasing problems for firms. We build on US FBI policy to frame the interaction between a cybercrime victim firm and a government security agency. We bring together several strands in the literature to model the strategies of the firm, which has suffered a cy- ber breach and theft of trade secrets, and the government security agency, which must investigate and prosecute crimes. We investigate the interactions between these two players, in which the firm has pri- vate information about its cybersecurity investment. This investment level is unknown to the security agency, which must nonetheless decide how to prioritize reported crime. We model this asymmetric in- formation problem within a game theoretic signaling framework derived from Becker’s work in crime and punishment. We suggest that such a framework can inform policy to encourage security investments by firms and more efficient resource utilization by security agencies. We particularly focus on an illustrative stylized example to highlight how our modelling approach can be helpful. In this example we compare two worlds; one where all security breaches become public knowledge and another where only reported breaches become public knowledge. We then formulate two potentially testable Hypotheses and several implications of these Hypotheses. Case studies and a policy analysis further highlight how our framework plays out in reality
Keywords: Cyber security | Cybercrime | Trade secrets | Economic espionage | Cyber breaches
مقاله انگلیسی
3 The optimal scope of trade secrets law
حوزه بهینه اسرار تجاری قانون-2016
The paper investigates the optimal scope of trade secrets law. In the model, one innovative firm invests resources first to produce knowledge, and then to protect it from unwanted disclosure. A rival firm invests to ferret out this knowledge. Trade secrets law affects this “secrecy contest” by reducing the probability of unwanted disclosure given the efforts of the parties. We show how optimal trade secrets policy depends on structural market features and cost parameters. In the final section, we consider the limit case in which the innovation lies on the face of the product, and derive the optimal scope of legal provisions preventing copycat imitation of products (unfair competition, passing off).© 2015 Elsevier Inc. All rights reserved.
Keywords: Trade secrets law | Unfair competition | Parasitic competition | Slavish imitation | Passing off
مقاله انگلیسی
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