| Edition |
1st ed. |
| Description |
1 online resource (xxiv, 1705 pages) : illustrations. |
| Series |
Atlantis highlights in intelligent systems, 2589-4919 ; 5 |
|
Atlantis highlights in intelligent systems ; 5.
2589-4919
|
| Access |
Open access GW5XE |
| Note |
International conference proceedings. |
| Summary |
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. With the rapid development of modern economic society, in the process of economic management, informatization has become the mainstream of economic development in the future. At the same time, with the emergence of advanced management technologies such as blockchain technology and big data technology, real market information can be quickly obtained in the process of economic management, which greatly reduces the operating costs of the market economy and effectively enhances the management level of operators, thus contributing to the sustained, rapid and healthy development of the market economy. Under the new situation, the innovative application of economic management research is of great practical significance. 2022 International Conference on Bigdata, Blockchain and Economic Management (ICBBEM 2022) will be held on March 25–27, 2022 in Wuhan, China. ICBBEM 2022 will focus on the latest fields of Bigdata, Blockchain and Economic Management to provide an international platform for experts, professors, scholars and engineers from universities, scientific institutes, enterprises and government-affiliated institutions at home and abroad to share experiences, to expand professional fields, to exchange new ideas face to face, to present research results, and to discuss the key challenging issues and research directions facing the development of this field, with a view to promoting the development and application of theories and technologies in universities and enterprises. |
| Note |
Publisher supplied information. |
| Local Note |
Springer Nature Springer Nature - SpringerLink eBooks - Fully Open Access |
| Subject |
Big data -- Congresses.
|
|
Blockchains (Databases) -- Congresses.
|
|
Econometrics -- Congresses.
|
|
Big data
|
|
Blockchains (Databases)
|
|
Econometrics
|
| Genre/Form |
Electronic books.
|
|
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
| Added Author |
Qiu, Daowen, editor.
|
|
Jiao, Yusheng, editor.
|
|
Yeoh, William, 1979- editor. https://id.oclc.org/worldcat/entity/E39PCjGyByDJ8bHMT7Kgppxpbm
|
| Added Title |
ICBBEM 2022 |
| ISBN |
9789464630305 (electronic bk.) |
|
9464630302 (electronic bk.) |
|
9789464630299 |
| Standard No. |
10.2991/978-94-6463-030-5 doi |
|
