Study on user stickiness of Ximalaya APP Based on basic analysis of SPSS

Authors

  • Mengqi Huang
  • Yawen Tu

DOI:

https://doi.org/10.54691/bcpbm.v25i.1835

Keywords:

Ximalaya APP, User engagement, Lnfluencing factors

Abstract

With the development of network technology, the traditional radio station began to have a new development opportunities, mobile Internet radio began to come out. The audience can listen to the radio in different use scenarios such as traditional listening devices, smart mobile devices, vehicle devices and so on. In August 2012, Himalaya FM began to build an online audio sharing platform. Today, Ximalaya FM is firmly ranked as the largest number of users and the largest platform in China. As of 2019, Ximalaya apps have more than 600 million active users and have more than 80 million monthly active users, but how to enhance user engagement, improve user activity and usage duration is still a very important issue in the Ximalaya FM operation process. This paper mainly explores the factors influencing the stickiness of the Ximalaya FM users, and uses the literature research method and the questionnaire survey method to analyze the questionnaire sample through the SPSS data analysis. In-depth analysis of the Ximalaya FM users, including their use of behavior characteristics, attitude influence, and the use of quantitative research methods to analyze the factors affecting user stickiness.

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References

Wang Juan, Liu Wei. Influfactors of online course users [J]. Distance Education in China, 2022(03):61-67+75.DOI:10.13541/j.cnki.chinade.2022.03.006.

Road yao. Study on user stickiness of mobile Radio APP [D]. Lanzhou University of Finance and Economics, 2021.

Wu can. Mechanism of Social Capital on User Visceness in Virtual Academic Communities [D]. Chongqing University of Technology, 2021.

Sun Di. Research on Optimization Strategy of Online Theory Education Platform Based on User Viscence [D]. Beijing University of Posts and Telecommunications, 2021.

Song Zhigang, Xiao Nan. Study on user stickiness of network freight platform [J]. Logistics Technology, 2021,44(03):89-92+99.DOI:10.13714/j.cnki.1002-3100.2021.03.023.

Wang Man, Lu Mingxin, Shi Jin, Yang Haijie. Research on website user stickiness influence factors based on ECT theory and FLOW theory --takes Bilibili as an example [J]. Intelligence Engineering, 2021,7 (01): 80-92.

Liu Ziwei, Hu Yue. Study on user stickiness of College Students' Tourism App [J]. Modern Business, 2020(34):21-22.DOI:10.14097/j.cnki.5392/2020.34.007.

Wang Jiao. Research on the influencing factors and action mechanism of user stickiness of online knowledge payment platform [D]. Northeastern Agricultural University, 2020.DOI:10.27010 / d. cnki. gdbnu.2020.000730.

Huang Jingting. Impact factors influencing user engagement of gourmet short videos [D]. Wuhan University, 2020.DOI:10.27379 / d. cnki. gwhdu.2020.000264.

Yan Huili, Yu Jun, Xiong Hao. -- takes the network public opinion as the adjustment variable [J]. Nankai Management Review, 2020,23 (01): 18-27.

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Published

2022-08-30