Measuring the smartness of a library |
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Institution: | 1. Faculty of Education, Department of Computer and Instructional Technologies, Recep Tayyip Erdo?an University, 53200 Rize, Turkey;2. Faculty of Education, Department of Mathematics and Science Education, Recep Tayyip Erdo?an University, 53200 Rize, Turkey |
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Abstract: | Traditional libraries around the world are integrating cutting-edge technologies, such as data mining, artificial intelligence, Internet of Things, and voice-based search, to transform themselves into smart libraries. However, what elements make a library smart? How does one estimate the smartness of a library? To address these fundamental questions five elements and fifteen subelements that make a library smart were identified from a comprehensive review of the literature. A fuzzy-based model for use computing a library's smartness index was developed around these elements/subelements. Ease of use of this model was demonstrated by applying it to measure the smartness of a large academic library in South Asia. |
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