University of Illinois Urbana-Champaign

Are they efficient? An evaluation of cloud-based cultural service platforms with data envelopment analysis

Wei, Jingzhu; Li, Shuainan

Permalink

https://hdl.handle.net/2142/106550

Description

Title
Are they efficient? An evaluation of cloud-based cultural service platforms with data envelopment analysis
Author(s)
  • Wei, Jingzhu
  • Li, Shuainan
Issue Date
2020-03-23
Keyword(s)
  • Cloud-based cultural service platform
  • Efficiency
  • Data envelopment analysis
  • Correlation analysis
Abstract
This poster reports on the result of efficiency evaluation of China's new cloud platform for public cultural services. Specifically, the poster shows the result of applying Data Envelopment Analysis (DEA) to provincial cloud platforms in operation. The findings indicate that 33.3% of the platforms are strongly effective while 40% are weakly effective, which means that the provincial cloud cultural platforms are in low operational efficiency, and the scale efficiency is the main aspect that restricts the operational efficiency. For those non-DEA effective public culture cloud platform, how to simply and efficiently organize the information resources on these platforms, how to innovate the content of cultural service from the user's point of view, how to manage and maintain the user data in a better way, and expand the influence of the platform itself are several aspects that need to be considered in the future. We have also analyzed correlations between the efficiency value of cloud platforms and macro-environmental factors in different provinces and find that the efficiency value of cloud platforms are positively correlated with the proportion of higher education population, financial investment on culture, and residents' cultural consumption level.
Publisher
iSchools
Series/Report Name or Number
iConference 2020 Proceedings
Type of Resource
  • text
  • image
Language
eng
Permalink
http://hdl.handle.net/2142/106550
Copyright and License Information
Copyright 2020 Jingzhu Wei and Shuainan Li

Owning Collections

iConference 2020 Poster Descriptions PRIMARY