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A study on the Development of Biopharmaceutical Companies Based on the Context of Big Data
- Source :
- BIO Web of Conferences, Vol 72, p 02002 (2023)
- Publication Year :
- 2023
- Publisher :
- EDP Sciences, 2023.
-
Abstract
- Based on the requirements of the computer technology background in the new era, this paper takes Chinese biopharmaceutical enterprises as the research object, outlines the general characteristics of innovation in Chinese biopharmaceutical enterprises, and analyses the current situation of innovation development in biopharmaceutical enterprises from four aspects: policy, economy, society and technology, followed by an analysis of the current problems faced by innovation in Chinese biopharmaceutical enterprises and the reasons for their generation. Based on literature research, theoretical studies and analysis of the causes of the current innovation problems of Chinese biopharmaceutical enterprises, the factors affecting the innovation performance of Chinese biopharmaceutical enterprises are summarised. The specifics of the conditional variables, as well as the outcome variables, are then identified according to the specific manifestations of poor innovation performance of biopharmaceutical firms. Finally, corresponding countermeasures are proposed in terms of the level of corporate R&D investment, the level of financing channels, the level of government policy support, and the internal management of biopharmaceutical companies, in conjunction with the characteristics of different path models. This paper combines the big data foundation to research and analyse the development of biopharmaceutical enterprises, laying a new research foundation and providing a more efficient research path for the development of the biopharmaceutical industry.
- Subjects :
- Microbiology
QR1-502
Physiology
QP1-981
Zoology
QL1-991
Subjects
Details
- Language :
- English, French
- ISSN :
- 21174458
- Volume :
- 72
- Database :
- Directory of Open Access Journals
- Journal :
- BIO Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.ba6c04938e8d45f1b6bd80d66e61ca08
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/bioconf/20237202002