Services personalization in digital academic libraries: a Delphi study

个性化 背景(考古学) 计算机科学 德尔菲法 万维网 德尔菲 知识管理 古生物学 人工智能 生物 操作系统
作者
Samaneh Khavidaki,Saeed Rezaei Sharifabadi,Amir Ghaebi
出处
期刊:Digital library perspectives [Emerald Publishing Limited]
卷期号:39 (1): 39-61 被引量:7
标识
DOI:10.1108/dlp-03-2022-0019
摘要

Purpose This paper aims to explore the realm of literature about personalization of digital library services. This paper focuses on users’ unique needs and will identify different types of personalized services. Therefore, this study has identified different types of services personalization in the context of digital academic libraries. Design/methodology/approach In this research, the systematic review method has been used to obtain the relevant indicators of different types of personalization in the context of libraries. To explain basic indicators, a Delphi method has been used. The Delphi panel’s members consisted of 15 experts (faculty members, researchers, professional users and software designers). A purposeful sampling and the Delphi fulfillment process were performed in three rounds. After collecting data, descriptive statistics (mean and standard deviation), inferential statistics (binomial distribution test) and the Kendall coordination coefficient were used to determine the consensus rate among experts. Findings A total of 103 indicators were extracted for different types of personalization through a systematic literature review. Of these, 90 indicators were considered significant in the experts’ view. Generally, content personalization, interactive personalization, collaborative personalization and information retrieval personalization are the main components of personalization types, each of which has its own indicators. Originality/value This study has dealt with the issue of what is personalized in the context of digital academic library. The findings should be helpful and effective in the development of a holistic view on personalization of services in digital libraries.
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