Work Book: Adoption and Diffusion of Innovation

2019 ◽  
pp. 63-76
Author(s):  
Tim Mazzarol ◽  
Sophie Reboud
Keyword(s):  
Diffusion Of Innovation ◽  
Adoption And Diffusion ◽  
And Diffusion

Back to the future: adoption and diffusion of innovation in retro-industries

2013 ◽  
Vol 16 (4) ◽  
pp. 385-404 ◽  
Author(s):  
Sylvaine Castellano ◽  
Olga Ivanova ◽  
Maâlaoui Adnane ◽  
Imen Safraou ◽  
Francesco Schiavone
Keyword(s):  
Diffusion Of Innovation ◽  
The Future ◽  
Adoption And Diffusion ◽  
And Diffusion

Predicting the Adoption of Mobile Government Services

2009 ◽  
pp. 63-78 ◽  
Author(s):  
Adam Vrechopoulos ◽  
Michail Batikas
Keyword(s):  
Health Services ◽  
Diffusion Of Innovation ◽  
Ease Of Use ◽  
Theory Building ◽  
Research Directions ◽  
Government Services ◽  
Intention To Adopt ◽  
Governance Practices ◽  
Adoption And Diffusion ◽  
And Diffusion

Mobile government transform many of the traditional governance practices. The citizens’ adoption of M-Government services (e.g. voting, tax services, health services, etc.), however, is determined by a series of factors (e.g. ease of use, image, compatibility, etc.). This chapter investigates the predicting power of these factors towards contributing to theory building and providing direct implications that are useful for the diffusion and adoption of mobile government services in Greece. The study reviews the available literature on adoption and diffusion of innovation as well as the available relevant research insights on the mobile commerce landscape. Then, the study empirically tests the predicting power of aseries of critical variables that are theoretically related to the Greek citizens’ intention to adopt mobile government services. The findings imply that compatibility and ease of use have significant predicting power on citizens’ intention to adopt M-Government services. Direct implications and further research directions are provided at the end.

Technology Adoption and Diffusion: A New Application of the UTAUT Model

2018 ◽  
Vol 15 (06) ◽  
pp. 1950004 ◽  
Author(s):  
Fatima Zahra Barrane ◽  
Gahima Egide Karuranga ◽  
Diane Poulin
Keyword(s):  
Information And Communication Technologies ◽  
Diffusion Of Innovation ◽  
Communication Technologies ◽  
Residential Construction ◽  
Utaut Model ◽  
Use Of Technology ◽  
Information And Communication ◽  
Survey Results ◽  
Adoption And Diffusion ◽  
And Diffusion

Diffusion of innovation is a key challenge for organizations; it brings social change that alters a system's structure and how it operates. Most of the studies in this area have focused on the information and communication technologies sector (ICT). In this paper, we have sought to understand the acceptance and use of wood-based technology in the non-residential construction sector. For this purpose, we conducted a web survey of 28 engineers in Quebec's construction industry. Upon examining the survey results using the Unified Theory of Acceptance and Use of Technology (UTAUT) theory, we have proposed a conceptual framework specific to the use of wood in non-residential construction and identified the main similarities and differences according to the basic UTAUT model. We have also identified some constraints regarding the use of wood-based technology.

Multi-Team Adoption And Diffusion Of Innovation In Complex Organizations

2018 ◽  
Vol 2018 (1) ◽  
pp. 12689
Author(s):  
Tabish Zaman ◽  
Matthew Mount ◽  
Tyrone Pitsis ◽  
Rory O'Connor
Keyword(s):  
Diffusion Of Innovation ◽  
Complex Organizations ◽  
Adoption And Diffusion ◽  
And Diffusion

scholarly journals Diffusion of Innovation Elements that Influence the Adoption and Diffusion of Distance Education in Health

2020 ◽  
Vol 29 (3) ◽  
Author(s):  
James Ball ◽  
Roberta Ogletree ◽  
Paul Asunda ◽  
Kim Miller ◽  
Elaine Jurkowski
Keyword(s):  
Distance Education ◽  
Health Education ◽  
Diffusion Of Innovation ◽  
Innovation Theory ◽  
Education Faculty ◽  
Diffusion Of Innovation Theory ◽  
Survey Monkey ◽  
Adoption And Diffusion ◽  
Health Education Faculty ◽  
And Diffusion

The purpose of this study was to identify which elements in Rogers’ (2003) diffusion of innovation theory are more likely to influence the adoption and diffusion of distance education in health education. Researchers used Survey Monkey to disseminate an instrument to health education faculty and instructors currently employed by the health education and promotion departments listed in the AAHE directory (2011). Based on the results, it can be concluded that the likelihood of distance education adoption by health education faculty is dependent on the communication channels and characteristics of the innovation (distance education) elements of the diffusion of innovation theory.

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