Abstract
The sharing economy and new business models have emerged as a result of the economy’s rapid growth in recent years. The sharing economy and innovative business models have enabled people to transact with one another, saving both time and money. The growth has been aided by the introduction of IoT big data. This study will look at how to use big data from the Internet of Things to examine the growth of the sharing economy and new business models. This study proposes a BP neural network algorithm based on the big data of the Internet of Things (IoT), which can not only effectively classify a large amount of data in the sharing economy but also predict the development direction of the sharing economy and new business models. The experimental results of this study show that the economic benefit of shared office in 2017 is 11 billion yuan, and the economic benefit of shared office in 2018 is 20.6 billion yuan, an increase of 87.3% in 2018 compared with 2017. The economic benefit of knowledge and skills in 2017 was 138.2 billion yuan, and the economic benefit of shared office in 2018 was 235.3 billion yuan, an increase of 70.3% in 2018 compared with 2017. It can be seen that the economic benefits brought by the sharing economy to the country are very high, and there is also a lot of room for growth. Therefore, based on the background of IoT big data, it is essential to conduct research on the development of sharing economy and new business models.
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