Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)

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An Analysis of Satisfaction with University Library Learning Spaces Based on SPSS Regression Model

Authors
Changzhi Niu1, Chun Zhou1, Qiqi Huang2, Mengyao Wang1, *, Yisi Chen3, Yujia Huo4, Sijie Lie1, Jiayi Zhou5
1Zhuhai College of Science and Technology Big Data College, Zhuhai, China
2Zhuhai College of Science and Technology School of Foreign Languages, Zhuhai, China
3Guangdong Institute of Finance Internet Finance and Information Engineering, Guangzhou, China
4Zhuhai College of Science and Technology School of Architecture and Urban Rural Planning, Zhuhai, China
5Zhuhai College of Science and Technology School of Logistics Management and Engineering, Zhuhai, China
*Corresponding author. Email: wangmengyao_o@qq.com
Corresponding Author
Mengyao Wang
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-504-1_22How to use a DOI?
Keywords
post-use evaluation; college libraries; learning spaces; satisfaction evaluation
Abstract

Adopting the method of post occupancy evaluation (POE), the study space in the library of Zhuhai College of Science and Technology (ZCST) is taken as the research object, representative research items are selected, and the research and information feedback are conducted in the form of questionnaires and interviews. Optimization suggestions for college library learning space satisfaction are proposed through user character analysis, factor analysis, and regression analysis. Among them, the five research items of space capacity, color atmosphere, online reservation, digital resource satisfaction, service professionalism, and service timeliness can explain 42.1% of the variation of overall user satisfaction, and optimization suggestions are made for the four factors corresponding to these five research items: physical space, psychological environment, information resources, and supporting facilities and services, respectively.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
Series
Advances in Computer Science Research
Publication Date
31 August 2024
ISBN
978-94-6463-504-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-504-1_22How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Changzhi Niu
AU  - Chun Zhou
AU  - Qiqi Huang
AU  - Mengyao Wang
AU  - Yisi Chen
AU  - Yujia Huo
AU  - Sijie Lie
AU  - Jiayi Zhou
PY  - 2024
DA  - 2024/08/31
TI  - An Analysis of Satisfaction with University Library Learning Spaces Based on SPSS Regression Model
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 228
EP  - 239
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_22
DO  - 10.2991/978-94-6463-504-1_22
ID  - Niu2024
ER  -