Modern Industrial Productivity Development Challenges and Its Big Data Solutions
Bibliographic Data
| ID | 22253264 |
|---|---|
| Authors | Huang Qiqi Li Xia (South China University of Technology, corresponding author) |
| Year | 2023 |
| Volume | 5 |
| Issue | 2 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Frontiers in Sociology (JOURNAL) |
| Journal identifiers | ISSN: 2706-6827 |
| Publisher | Francis Academic Press Ltd (PUBLISHER) |
| DOI | 10.25236/ijfs.2023.050201 |
| OpenAlex | W4323875362 |
| Language | EN |
Since the establishment of the modern industrial production mode, it is faced with the dilemma, shortages of resources and market, and the detail labourer, which limiting its productivity development. These problems are further deepened after three industrial revolutions and manifested in the present day as follows: the inefficiency and poor resilience of the production system; the structural contradiction between supply and demand structure triggering a decline in the vitality of the production organism; and the inability of the efficiency of production and utilization of knowledge to meet the needs of productivity development. The root cause of the problem is the division of labour in modern industrial, which destroys the internal links of the production organism. Big Data technology provides new solutions to solve those dilemmas: firstly, it overcomes the impact of uncertainties on the production system and increases total factor productivity; secondly, the demand-oriented production model generates new demand and stimulates the development of productivity; finally, it imbues things with human intelligence, provides a platform for innovation for the people and fully releases human intelligence resources
Adaptability · Business · Contradiction · Dilemma · Economic growth · Economics · Industrial organization · Inefficiency · Management · Market economy · Microeconomics · Productivity · Supply and demand · Big Data and Business Intelligence · Big Data Technologies and Applications
| Citation velocity | historical |
|---|---|
| Highly cited | No |