Objective: In order to optimal utilization of personalized services, it is necessary to identify status of personalized service in digital academic libraries in Iran. Reviewing the status of digital academic libraries shows which components and indicators of personalization need to be planned and developed.
Methodology: This study has been done by descriptive survey method. 70 digital academic libraries were surveyed. The collection tool was researcher-made checklist. The checklist was prepared based on a systematic review of related studies. Statistical techniques including frequency distribution and frequency percentage were used to analyze the data.
Findings: indicated that there are 47 percent of content personalization indicators; 47.1 percent of interactive personalization indicators; 8.1 percent of collaborative personalization indicators; 17 percent of personalization in information retrieval indicators; and 23.4 percent of user profile indicators in the surveyed libraries. In general, the status of service personalization in digital academic libraries is poor and personalized services in digital academic libraries in Iran has a customization and user-centered approach. Universities need to improve their performance on the move to digital libraries and the use of personalized services. Providing services with a system-based approach in libraries should be reviewed and given more attention.
Originality: This study has for the first time reviewed the status of personalized services in digital academic libraries in Iran. In addition, by preparing a checklist based on a systematic review of studies, it has tried to obtain a comprehensive view of the status of personalized services in digital academic libraries in Iran