Big Data Analysis on the Relationship between the Organizational Career Management and Knowledge Workers' Work Involved - Take the High-Tech Enterprise as an Example

Author(s):  
Xingyuan Huang ◽  
Jiandong Zhang ◽  
Kun Qian
Author(s):  
J. Li ◽  
F. Biljecki

Abstract. With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating this new business model. This research aims to establish an approach to understand the impact of Airbnb (and similar services) through big data analysis and provide insights potentially useful for its regulation. The paper reveals how Airbnb is influencing Beijing’s neighbourhood housing prices through machine learning and GIS. Machine learning models are developed to analyse the relationship between Airbnb activities in a neighbourhood and prevailing housing prices. The model of the best fit is then used to analyse the neighbourhood price sensitivity in view of increasing Airbnb activities. The results show that the sensitivity is variable: there are neighbourhoods that are likely to be more price sensitive to Airbnb activities, but also neighbourhoods that are likely to be price robust. Finally, the paper gives policy recommendations for regulating short-term rental businesses based on neighbourhood’s price sensitivity.


2021 ◽  
Vol 235 ◽  
pp. 03013
Author(s):  
Junsheng Wang ◽  
Zhong Ziqi ◽  
Haoran Wang

Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.


2014 ◽  
Vol 687-691 ◽  
pp. 4942-4945 ◽  
Author(s):  
Lian Bai ◽  
Jia Peng Guo

Public economy and private economy are two big pillars of our country’s economy, which play important roles in the economic development of China from different sides. Both are needed, but they also have different and even contradictory aspects. Optimizing the relationship between public economy and private economy is of great significance on promoting the economic transformation and developing current economy. This paper firstly analyzes the concepts of public economy and private economy, the relationship between them, and then analyzes the existing problems and reasons for those problems between them, finally give advises on how to optimize the relationship between public economy and private economy.


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