Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: https://dspace.ctu.edu.vn/jspui/handle/123456789/47387
Nhan đề: Trends of big data applications in attracting and retaining talents in Vietnam enterprises
Tác giả: Mai, Thanh Lan
Lai, Quang Huy
Từ khoá: Big Data
Talents
Attracting and retaining talents
Human resource management
Năm xuất bản: 2019
Tùng thư/Số báo cáo: Journal of Trade Science;No.01, Vol.07 .- P.36-44
Tóm tắt: The world is embarking on the fourth Industrial Revolution, a new production revolution associated with unprecedented breakthrough in technology related to Internet connection, artificial intelligence, robots, big data, cloud computing, virtual reality experience, etc. This revolution is expected to exert great impacts on every country, government, organization, enterprise and citizen worldwide in terms of working, production and daily communication modes. With the development of information technology, especially cloud computing platform, and the explosion of mobile devices, everything is uploaded to storage system and exploited via applications on smart phones. Each individual can become a producer of data with series of images, sounds, articles and personal comments posted on communication channels on the Internet. They exist there every day, every hour and are digitized, stored to create an enormous amount of data which exceed the processing capacity of traditional database. In this context, the new trend of Big Data is generated to deal with problems of storing and processing data. Within the framework of this research paper, the authors generalize some fundamental theories of Big Data, talents attraction and retaining, analyze the current awareness and trend of Big Data application in attracting and retaining talents in Vietnam enterprises (via data collected by questionnaires and interviews), then propose some solutions for Vietnam enterprises to apply Big Data extensively to attract and retain talents.
Định danh: https://dspace.ctu.edu.vn/jspui/handle/123456789/47387
ISSN: 1859-3666
Bộ sưu tập: Khoa học Thương mại (Journal of Trade science)

Các tập tin trong tài liệu này:
Tập tin Mô tả Kích thước Định dạng  
_file_
  Giới hạn truy cập
183.52 kBAdobe PDF
Your IP: 3.149.238.67


Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.