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

Background Most people with common mental disorders, including those with severe mental illness, are treated in general practice. Video-based integrated care models featuring mental health specialist video consultations (MHSVC) facilitate the involvement of specialist mental health care. However, the potential uptake by general practitioners (GPs) is unclear. Objective This mixed method preimplementation study aims to assess GPs’ intent to adopt MHSVC in their practice, identify predictors for early intent to adopt (quantitative strand), and characterize GPs with early intent to adopt based on the Diffusion of Innovations Theory (DOI) theory (qualitative strand). Methods Applying a convergent parallel design, we conducted a survey of 177 GPs and followed it up with focus groups and individual interviews for a sample of 5 early adopters and 1 nonadopter. We identified predictors for intent to adopt through a cumulative logit model for ordinal multicategory responses for data with a proportional odds structure. A total of 2 coders independently analyzed the qualitative data, deriving common characteristics across the 5 early adopters. We interpreted the qualitative findings accounting for the generalized adopter categories of DOI. Results This study found that about one in two GPs (87/176, 49.4%) assumed that patients would benefit from an MHSVC service model, about one in three GPs (62/176, 35.2%) intended to adopt such a model, the availability of a designated room was the only significant predictor of intent to adopt in GPs (β=2.03, SE 0.345, P<.001), supporting GPs expected to save time and took a solution-focused perspective on the practical implementation of MHSVC, and characteristics of supporting and nonsupporting GPs in the context of MHSVC corresponded well with the generalized adopter categories conceptualized in the DOI. Conclusions A significant proportion of GPs may function as early adopters and key stakeholders to facilitate the spread of MHSVC. Indeed, our findings correspond well with increasing utilization rates of telehealth in primary care and specialist health care services (eg, mental health facilities and community-based, federally qualified health centers in the United States). Future work should focus on specific measures to foster the intention to adopt among hesitant GPs.

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Brazilian FL Teachers through the Lens of the Diffusion of Innovations Theory

Handbook of Research on Individual Differences in Computer-Assisted Language Learning - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-4666-8519-2.ch016 ◽

2015 ◽

pp. 374-401 ◽

Cited By ~ 1

Author(s):

Claudia Beatriz Monte Jorge Martins ◽

Herivelto Moreira

Keyword(s):

Digital Literacy ◽

Diffusion Of Innovations ◽

Methodological Approach ◽

Personal Characteristics ◽

Literacy Teachers ◽

Diffusion Of Innovations Theory ◽

University Courses ◽

Teachers Beliefs ◽

Attitudes Towards Technology ◽

Adopter Categories

This chapter describes the technological profile of foreign language (FL) teachers from Modern Languages university courses of the state of Paraná, Brazil. Several features were investigated: teachers' personal characteristics, teachers' beliefs and attitudes towards technology, teachers' digital literacy, teachers' prior CALL/ technology education and Rogers' (1995) adopter categories. The theoretical framework used was the Diffusion of Innovations theory. A quantitative methodological approach was employed to collect data and a survey questionnaire was developed. Statistical analyses examined the relationships between attitudes and digital literacy, adopter categories and attitudes, adopter categories and personal characteristics. The results provided a detailed picture of the ones responsible for the education of future FL teachers in Brazil. With this technological profile, it was possible to reveal the “who” in the process of CALL integration.

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Will Academic Library Publishing Break OER? A Diffusion of Innovations Study

Journal of Interactive Media in Education ◽

10.5334/jime.673 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Kathy Essmiller ◽

Tutaleni Asino

Keyword(s):

Diffusion Of Innovations ◽

Academic Library

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Technology Innovativeness and Adopter Categories of Apparel/Gift Retailers: From the Diffusion of Innovations Perspective

Clothing and Textiles Research Journal ◽

10.1177/0887302x9401200207 ◽

1994 ◽

Vol 12 (2) ◽

pp. 46-57 ◽

Cited By ~ 7

Author(s):

Soyeon Shim ◽

Antigone Kotsiopulos

Keyword(s):

Diffusion Of Innovations ◽

Adopter Categories

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Brazilian FL Teachers Through the Lens of the Diffusion of Innovations Theory

Information and Technology Literacy ◽

10.4018/978-1-5225-3417-4.ch115 ◽

2017 ◽

pp. 2321-2349

Author(s):

Claudia Beatriz Monte Jorge Martins ◽

Herivelto Moreira

Keyword(s):

Digital Literacy ◽

Diffusion Of Innovations ◽

Methodological Approach ◽

Personal Characteristics ◽

Literacy Teachers ◽

Diffusion Of Innovations Theory ◽

University Courses ◽

Teachers Beliefs ◽

Attitudes Towards Technology ◽

Adopter Categories

This chapter describes the technological profile of foreign language (FL) teachers from Modern Languages university courses of the state of Paraná, Brazil. Several features were investigated: teachers' personal characteristics, teachers' beliefs and attitudes towards technology, teachers' digital literacy, teachers' prior CALL/ technology education and Rogers' (1995) adopter categories. The theoretical framework used was the Diffusion of Innovations theory. A quantitative methodological approach was employed to collect data and a survey questionnaire was developed. Statistical analyses examined the relationships between attitudes and digital literacy, adopter categories and attitudes, adopter categories and personal characteristics. The results provided a detailed picture of the ones responsible for the education of future FL teachers in Brazil. With this technological profile, it was possible to reveal the “who” in the process of CALL integration.

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Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol

BMJ Open ◽

10.1136/bmjopen-2020-044074 ◽

2021 ◽

Vol 11 (3) ◽

pp. e044074

Author(s):

Reda Lebcir ◽

Tetiana Hill ◽

Rifat Atun ◽

Marija Cubric

Keyword(s):

Artificial Intelligence ◽

Technology Acceptance ◽

Scoping Review ◽

Diffusion Of Innovations ◽

New Technologies ◽

Care Delivery ◽

Healthcare Delivery ◽

Factors Affecting ◽

Scoping Reviews ◽

Organisational Factors

IntroductionArtificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous research indicates the importance of understanding various organisational factors that shape integration of new technologies in healthcare. Therefore, the aim of this study is to provide an overview of the existing organisational factors influencing adoption of AI in healthcare from the perspectives of different relevant stakeholders. By conducting this review, the various organisational factors that facilitate or hinder AI implementation in healthcare could be identified.Methods and analysisThis study will follow the Joanna Briggs Institute framework, which includes the following stages: (1) defining and aligning objectives and questions, (2) developing and aligning the inclusions criteria with objectives and questions, (3) describing the planned approach to evidence searching and selection, (4) searching for the evidence, (5) selecting the evidence, (6) extracting the evidence, (7) charting the evidence, and summarising the evidence with regard to the objectives and questions.The databases searched will be MEDLINE (Ovid), CINAHL (Plus), PubMed, Cohrane Library, Scopus, MathSciNet, NICE Evidence, OpenGrey, O’REILLY and Social Care Online from January 2000 to June 2021. Search results will be reported based on The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. The review will adopt diffusion of innovations theory, technology acceptance model and stakeholder theory as guiding conceptual models. Narrative synthesis will be used to integrate the findings.Ethics and disseminationEthics approval will not be sought for this scoping review as it only includes information from previously published studies. The results will be disseminated through publication in a peer-reviewed journal. In addition, to ensure its findings reach relevant stakeholders, they will be presented at relevant conferences.

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Intent to Adopt Video-Based Integrated Mental Health Care and the Characteristics of its Supporters: Mixed Methods Study Among General Practitioners Applying Diffusion of Innovations Theory (Preprint)

10.2196/preprints.23660 ◽

2020 ◽

Author(s):

Markus W Haun ◽

Isabella Stephan ◽

Michel Wensing ◽

Mechthild Hartmann ◽

Mariell Hoffmann ◽

...

Keyword(s):

Mental Health ◽

Health Care ◽

Mental Health Care ◽

General Practitioners ◽

Diffusion Of Innovations ◽

Significant Proportion ◽

The United States ◽

Diffusion Of Innovations Theory ◽

Early Adopters ◽

Adopter Categories

BACKGROUND Most people with common mental disorders, including those with severe mental illness, are treated in general practice. Video-based integrated care models featuring mental health specialist video consultations (MHSVC) facilitate the involvement of specialist mental health care. However, the potential uptake by general practitioners (GPs) is unclear. OBJECTIVE This mixed method preimplementation study aims to assess GPs’ intent to adopt MHSVC in their practice, identify predictors for early intent to adopt (quantitative strand), and characterize GPs with early intent to adopt based on the Diffusion of Innovations Theory (DOI) theory (qualitative strand). METHODS Applying a convergent parallel design, we conducted a survey of 177 GPs and followed it up with focus groups and individual interviews for a sample of 5 early adopters and 1 nonadopter. We identified predictors for intent to adopt through a cumulative logit model for ordinal multicategory responses for data with a proportional odds structure. A total of 2 coders independently analyzed the qualitative data, deriving common characteristics across the 5 early adopters. We interpreted the qualitative findings accounting for the generalized adopter categories of DOI. RESULTS This study found that about one in two GPs (87/176, 49.4%) assumed that patients would benefit from an MHSVC service model, about one in three GPs (62/176, 35.2%) intended to adopt such a model, the availability of a designated room was the only significant predictor of intent to adopt in GPs (β=2.03, SE 0.345, <i>P</i><.001), supporting GPs expected to save time and took a solution-focused perspective on the practical implementation of MHSVC, and characteristics of supporting and nonsupporting GPs in the context of MHSVC corresponded well with the generalized adopter categories conceptualized in the DOI. CONCLUSIONS A significant proportion of GPs may function as early adopters and key stakeholders to facilitate the spread of MHSVC. Indeed, our findings correspond well with increasing utilization rates of telehealth in primary care and specialist health care services (eg, mental health facilities and community-based, federally qualified health centers in the United States). Future work should focus on specific measures to foster the intention to adopt among hesitant GPs.

Download Full-text