Abstract
With the continuous maturity of big data technology, the application field of big data has also been greatly expanded. In recent years, the technical advantages of big data technology in the real estate investment trust industry have been gradually demonstrated, which not only optimizes the traditional operation mode, but also strengthens the operation ability of enterprises. However, the mode is still in the primary stage of development, and there are still many deficiencies. Therefore, this paper puts forward the research on the change of real estate investment trust operation mode in the era of big data. This paper makes an in-depth investigation on the operation mode of real estate investment trust under the background of big data, analyzes the main problems existing in the current mode and the advantages and disadvantages of different types of REITs operation mode. In view of these problems and deficiencies, this paper further puts forward the optimization and improvement measures, and combined with the needs of enterprises, makes the path selection analysis of the development of REITs operation mode in China. In order to further investigate the actual effect of real estate investment trust operation mode based on big data technology in the actual operation of enterprises; this paper takes enterprise A as an example for investigation and research. Through the analysis of the survey results, we can see that the operation mode based on big data technology effectively broadens the financing channels of enterprises and avoids the problems such as performance decline.
Keywords
- Big data technology
- Trust investment
- Operation mode
- Real estate investment
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Xiao, L. (2021). Changes in the Operation Mode of Real Estate Investment Trusts in the Era of Big Data. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_59
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DOI: https://doi.org/10.1007/978-981-16-1726-3_59
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