Factors effecting delays in returning borrowed items in public libraries

This paper explores factors affecting delays in returning borrowed materials in public libraries in the province of East Azerbaijan.
Data mining techniques were employed to extract data from the organization's MIS called SAMAN. SPSS version 21 and Clementine version 12 were used for analysis.
Findings: Results of Childe algorithm test showed that borrowing limitation, age of the borrower, class of membership, and gender were accordingly affecting delays. Members allowed to borrow more items, commited more delays. This factor was divided into three groups by age, namely under 15 yld with 33 percent, between 15 and 26 yld with 41 percent, and over 26 yld with 44 percent of delays.
Originality value: Classification and description of large data create a clear view of the phenomenon. The results can be used in specific programs for each target group to reduce delays.