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Librarians’ Intention and Behaviors for Providing Podcasts and YouTube Services: An Application of Extended Technology Acceptance Model

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2021, v.55 no.4, pp.187-217
https://doi.org/10.4275/KSLIS.2021.55.4.187


Abstract

This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian’s personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.

keywords
팟캐스트, 유튜브, 사서 인식, 확장된 기술수용모델, 위계적 다중회귀분석, Podcast, YouTube, Librarian’s Awareness, TAM2, Hierarchical Multiple Regression Analysis

Journal of the Korean Society for Library and Information Science