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http://dx.doi.org/10.14400/JDC.2021.19.3.055

Analysis of Borrows Demand for Books in Public Libraries Considering Cultural Characteristics  

Oh, Min-Ki (Dept. of Library and Information Science, Kyungpook National University)
Kim, Kyung-Rae (Dept. of Computer Science, Kyungpook National University)
Jeong, Won-Oong (Dept. of Computer Science, Kyungpook National University)
Kim, Keun-Wook (Big Data Center, Daegu Digital Industry Promotion Agency)
Publication Information
Journal of Digital Convergence / v.19, no.3, 2021 , pp. 55-64 More about this Journal
Abstract
Public libraries are a space where residents learn a wide range of knowledge and ideologies, and as they are directly connected to life, various related studies have been conducted. In most previous studies, variables such as population, traffic accessibility, and environment were found to be highly relevant to library use. In this study, it can be said that the difference from previous studies is that the book borrow demand and relevance were analyzed by reflecting the variables of cultural characteristics based on the book borrow history (1,820,407 cases) and member information (297,222 persons). As a result of the analysis, it was analyzed that as the increase in borrows for social science and literature books compared to technical science books, the demand for book borrows increased. In addition, various descriptive statistical analyzes were used to analyze the characteristics of library book borrow demand, and policy implications and limitations of the study were also presented based on the analysis results. and considering that cultural characteristics change depending on the location and time of day, it is believed that related research should be continued in the future.
Keywords
Public Library; Cultural characteristics; Machine Learning; Cluster Analysis; Regression Model;
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