Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations' Adopter Categories

Autor/inn/en	Lund, Brady D.; Omame, Isaiah; Tijani, Solomon; Agbaji, Daniel
Titel	Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations' Adopter Categories
Quelle	In: College & Research Libraries, 81 (2020) 5, S.865-882 (18 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0870
Schlagwörter	Academic Libraries; Librarian Attitudes; Artificial Intelligence; Adoption (Ideas); Technological Advancement; Identification (Psychology); Individual Characteristics; Knowledge Level; Library Services; Technology Integration; Positive Attitudes; Information Technology + Suchen Sie Ihr Suchwort? College; Colleges; University; Universities; Libary; Libraries; Hochschule; Fachhochschule; Universität; Bibliothek; Hochschulbibliothek; Künstliche Intelligenz; Ideas; Ideenfindung; Technological development; Technologische Entwicklung; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Wissensbasis; Bibliotheksarbeit; Informationstechnologie
Abstract	Artificial intelligence (AI) has emerged as a topic of interest among information technology innovators. As AI is refined, practical uses of the technology to improve the transfer of information are increasingly investigated, developed, and adopted in a variety of public environments, including in libraries. Given the relatively recent emergence of AI in this respect, it presents an opportunity to investigate the emergence of public perceptions toward the innovation and the relationship this holds with the adoption of emerging technologies, as envisioned in Roger's Diffusion of Innovations model. This study describes the results of a survey of practicing librarians regarding the adopter category (innovator, early adopter, early majority, late majority, laggard) with which they identify and the relationship of this identification with perceived knowledge and perceptions of AI technology within and outside the library environment. The findings of this survey have both theoretical implications for the Diffusion model within the library technology context as well as practical implications for supporting the process of diffusion of emerging technologies among academic library employees. (As Provided).
Anmerkungen	Association of College and Research Libraries. 50 East Huron Street, Chicago, IL 60611. e-mail: acrl@ala.org; Web site: http://crl.acrl.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01