Diffusion of innovation theories and their relevance to understanding the role of librarians when introducing users to networked information

Holland, Monte G.

doi:10.1108/eb045587

Cited by 20 publications

(7 citation statements)

References 10 publications

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“…Librarians are potentially powerful advocates for the adoption of new technological innovations like AI, as key players in the diffusion of information to others. 39 They are often leaders in the adoption of technologies, insofar as the technologies are useful for library services. However, as indicated with the diffusion of innovations theory and supported in many subsequent studies, individuals will only support the diffusion of innovations that they find valuable and nonthreatening.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

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

Lund

Omame

Tijani³

et al. 2020

C&RL

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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.Artificial intelligence (AI) is a technological innovation of increasing interest to the general public as well as within the academic library environment. 1 Given the early stage in the development of this technology and its adoption for public use, there is a unique opportunity to examine a cross-section of librarians regarding the Diffusion of Innovations model and perceptions of AI. No study of this extent has yet been published in the scholarly literature in library and information science (LIS). Such an examination may prove beneficial both to the understanding of diffusion of innovations theory as well as perceptions of academic library employees toward AI in general. The findings may assist academic library administrators and tech-inclined employees as they aim to garner greater receptiveness among colleagues toward adopting AI technology in their libraries.Artificial intelligence (AI) can be defined in many ways, as noted throughout scholarly and general literature, including a recent article published in Forbes. 2 Russell and Norvig, in

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Section: Theoretical Frameworkmentioning

confidence: 99%

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

Lund

Omame

Tijani³

et al. 2020

C&RL

View full text Add to dashboard Cite

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“…Moreover, one time provision of hardware, software, network infrastructure, and electronic resources is not sufficient. It requires continuous improvement and upgradation of systems and resources to pace with the fast changing information technologies (Holland, 1997). In addition, Sreenivasulu (2000) noted that the success of librarians in this digital age depends on their human and technology management competencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors affecting librarians' attitudes toward IT application in libraries

Ramzan

Singh

2010

The Electronic Library

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PurposeThe purpose of this paper is to investigate the factors affecting librarians' attitudes toward IT application in libraries. It also aims to identify common underlying factors, which could be used to predict the probable behavior of librarians toward IT innovation in their libraries.Design/methodology/approachPrimary data were collected through a questionnaire survey of 288 (sample of 682) head librarians working in academic libraries across Pakistan. In total, 76 per cent valid responses were used for factor analysis. Principal components analysis was deployed to extract the underlying factors using SPSS.FindingsThe study found that the intensity of librarians' fears in IT handling, ability to cope with the ever‐changing IT innovations and their level of understanding of IT‐based rules and regulations were good predictors of librarians' attitudes toward information technology.Practical implicationsThe findings can be utilized to improve the librarians' attitudes toward IT applications, their role in IT‐related decision making, their ownership of IT application in libraries and for success of library IT projects and innovations.Originality/valueThe study is the first of its type in this region, particularly in Pakistan. The paper provides insight into the people responsible for IT application in libraries.

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“…The concept of innovation has been widely discussed in management theory (Damanpour, 1991; Kimberly & Evanisko, 1981; Wolfe, 1994). Innovation is typically defined as involving novelty (Schumpeter, 1943); necessity and sufficiency (Pittaway, Robertson, Munir, Denyer, & Neely, 2004); intentionality (Lansisalmi, Kivimaki, Aalto, & Ruoranen, 2006); a beneficial nature (Camison-Zornoza, Lapiedra-Alcami, Segarra-Cipres, & Boronat-Navarro, 2004); successful implementation (Hobday, 2005; Klein & Knight, 2005); and diffusion (Holland, 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Innovation in Oil and Gas Projects

Rahimi

Kenworthy

Balakrishnan

2018

Project Management Journal

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We examine the effects of predictors from the firm, project, and individual levels on innovative behavior within oil and gas projects. The theory and propositions tested in this study stem from extant work on (1) innovation in poor performance conditions and (2) the availability of slack resources. The research findings revealed that innovative behaviors were present regardless of size, type, and project performance level. Further, it appears that the relationship between slack and innovation depends on when the innovation is introduced (i.e., when project performance is ahead of, or behind, a plan). Finally, the existence of innovation in (1) under-performing projects did not appear to exert any influence on project outcome, and (2) over-performing projects appeared to exert a negative influence on project outcome.

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Diffusion of innovation theories and their relevance to understanding the role of librarians when introducing users to networked information

Cited by 20 publications

References 10 publications

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

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

Factors affecting librarians' attitudes toward IT application in libraries

An Analysis of Innovation in Oil and Gas Projects

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