Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 11, 2024


Pages


DOI

Article

User Satisfaction Enhancement Strategies for Intelligent Library and Intelligence Services

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Authors

Jing Wang Affiliation:
Library of Zhaoqing University, Zhaoqing University, Zhaoqing, Guangdong, 526061, China.


Abstract

China’s library and intelligence organizations have a long history, rich resources and excellent talents and have played an important role in various consulting services. They are currently facing fierce market competition, making it challenging to meet users’ needs. This paper first establishes the principles of digital information resource services, based on the principles, reference to the ACSI model and considers a number of indicators to establish a scientific user satisfaction measurement model of digital resources in line with the actual development of library intelligence. The relationship between intelligent library intelligence and user satisfaction is investigated by combining a measurement model and structural model. Relevant hypotheses are proposed, research variables are identified, and empirical analysis is utilized to evaluate the model’s practicability. The results of the empirical research show that the hypotheses that library intelligence services can improve user satisfaction are verified through the path significance test, and after analysis, we know that the standardized path coefficients of paths 1, 3-7 are 0.526, 0.395, 0.426, 0.536, 0.163, and 0.168, respectively, which are greater than 0 and the P-value is less than 0.05 so that the hypotheses 1, 3-7 are valid. Intelligent library intelligence-related variables have a positive effect on user satisfaction improvement.


Keywords

User satisfaction, ACSI model, Structural equation, Library intelligence service, 68T01


Citation

Wang, J. (2024). User satisfaction enhancement strategies for intelligent library and intelligence services. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3146

Published by: Engineering Journals

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