دانلود مقاله مدیریت ریسک جریان داده تحت درک بین فرهنگی انگلیسی زبان
چکیده
مقدمه
روش
نتایج و بحث
نتیجه گیری
منابع
Abstract
Introduction
Method
Results and discussion
Conclusion
References
چکیده
هدف مطالعه مدیریت ریسک جریان داده تحت درک بین فرهنگی زبان انگلیسی است. بر اساس فعالیت‌های جریان داده‌های فرامرزی و اقدامات مدیریتی تحت درک بین فرهنگی زبان انگلیسی، مشکل مدیریت ریسک مرتبط با روش‌های مربوطه مدیریت ریسک و شناسایی مورد مطالعه و تجزیه و تحلیل قرار می‌گیرد. تغییرات و تفاوت‌ها در سیاست‌های تنظیمی جریان داده در درک بین فرهنگی انگلیسی پیشنهاد شده‌اند. خاطرنشان می‌شود که شیوه مدیریت صرفاً بر انطباق قانونی منجر به مشکلاتی در عمل می‌شود که از جمله آن‌ها می‌توان به پیوندهای ضعیف، تأخیر غیرفعال، تأثیر تجاری بزرگ، هزینه مدیریت بالا و تأثیر نامشخص اشاره کرد. نتایج نشان می دهد که ایجاد یک سیستم مدیریت ریسک جریان داده های فرامرزی در عصر اقتصاد داده بسیار مهم است. وضعیت فعلی مدیریت ریسک جریان داده تحت درک بین فرهنگی زبان انگلیسی محقق شده است و عناصر کلیدی مدیریت ریسک جریان داده های فرامرزی به طور مقدماتی به دست آمده است. اینها بیشتر ضرورت و امکان‌پذیری مدیریت ریسک جریان داده را تحت درک بین فرهنگی زبان انگلیسی نشان می‌دهند و پشتیبانی تجربی مربوطه را برای ارزیابی ریسک و پاسخ جریان داده تحت درک بین فرهنگی زبان انگلیسی بر اساس "ریسک ارزش" ارائه می‌کنند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
The purpose is to study data flow risk management under cross-cultural English language understanding. Based on cross-border data flow activities and management measures under cross-cultural English language understanding, the related risk management problem is studied and analyzed through the relevant methods of risk management and identification. Changes and differences in data flow regulatory policies of cross-cultural English understanding are proposed. It is pointed out that the management mode relying solely on legal compliance leads to some problems in practice, such as weak links, passive lag, great business impact, high management cost, and uncertain effect. The results show that it is crucial to build a cross-border data flow risk management system in the era of data economy. The current situation of the risk management of data flow under cross-cultural English language understanding is realized, and the key elements of cross-border data flow risk management are preliminarily obtained. These further demonstrate the necessity and feasibility of risk management of data flow under cross-cultural English language understanding, and provide corresponding empirical support for risk assessment and the response of data flow under cross-cultural English language understanding based on "value risk".
Introduction
Language is the carrier of the culture. In language learning, it is inevitable to deal with the culture behind the language. The permeation and influence of the culture in the English language are everywhere (Cui and Han 2019). The obstacles of understanding a foreign language are not only limited to language knowledge such as vocabulary and grammar. The cultural background of the language will directly affect the learner’s understanding. Cross-culture communication requires sensitivity to both foreign and native cultures and the consciousness to output the target language. This sensitivity and consciousness can be cultivated by learning and practice (Carew et al. 2018).
In the new media era, cloud computing, mobile Internet, Internet of things, big data, artificial intelligence and other new-generation information technologies are developing rapidly. Economic and social innovation and development into a ‘‘data-driven’’ era is the key to the comprehensive arrival of production factors. There are always various risks and challenges in the curve age of data flow (Ali et al. 2020). In the modern market economy, people have realized all kinds of changes and opportunities brought by risk theory. Therefore, how to adjust and measure the uncertainty of risk and correctly understand the contradiction between risk and opportunity is of great significance. It is particularly important to fully understand the causes of risks, scientifically evaluate risks and implement risk control measures.
Conclusion
Based on the relevant characteristics of data flow risk under cross-cultural English understanding, a comprehensive risk management thinking and analysis framework based on ‘‘value risk’’ is proposed by using relevant methods such as risk identification and risk management. The core elements of data flow risk management under cross-cultural English understanding are refinement and structure. On this basis, the data flow risk comprehensive evaluation index system and calculation method are established. In the context of cross-cultural English understanding, it provides a systematic reference and guidance for the practice of data flow risk management.
Although data flow risk management based on crosscultural English understanding has certain practical significance, limited by the research ability and research conditions, there are still some problems to be further studied, which are also the direction of future research. Qualitative analysis methods is mainly adopted. Although there is a certain job processing, the job has a certain subjectivity. In addition, such tasks will also change during business operation.
Therefore, in the future research, the risk management should be studied in a planned and step-by-step manner according to the actual situation; how to integrate risk management into the value at risk evaluation system can be further considered. Besides, online ? offline data flow risk management can also be adopted for research, bringing breakthrough discovery and development to the research field.