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.

Implementation of computer-assisted therapy for substance misuse: a qualitative study of Breaking Free Online using Roger's diffusion of innovation theory

2014 ◽  
Vol 14 (4) ◽  
pp. 207-218 ◽  
Author(s):  
Sarah Elison ◽  
Jonathan Ward ◽  
Glyn Davies ◽  
Mark Moody
Keyword(s):  
Diffusion Of Innovation ◽  
Social System ◽  
Substance Misuse ◽  
Social Care ◽  
Computer Assisted ◽  
Innovation Theory ◽  
Diffusion Of Innovation Theory ◽  
Content Type ◽  
Adoption And Implementation ◽  
The Social

Purpose – The purpose of this paper is to explore the adoption and implementation of computer-assisted therapy (CAT) using Breaking Free Online (BFO) in a social care and health charity working with people affected by drugs and alcohol dependence, Crime Reduction Initiatives (CRI). Design/methodology/approach – Semi-structured interviews were conducted with service managers, practitioners, peer mentors and service users. Data were thematically analysed and themes conceptualised using Roger's Diffusion of Innovation Theory (Rogers, 1995, 2002, 2004). Findings – A number of perceived barriers to adoption of BFO throughout CRI were identified within the social system, including a lack of IT resources and skills. However, there were numerous perceived benefits of adoption of BFO throughout CRI, including broadening access to effective interventions to support recovery from substance dependence, and promoting digital inclusion. Along with the solutions that were found to the identified barriers to implementation, intentions around longer-term continuation of adoption of the programme were reported, with this process being supported through changes to both the social system and the individuals within it. Research limitations/implications – The introduction of innovations such as BFO within large organisations like CRI can be perceived as being disruptive, even when individuals within the organisation recognise its benefits. For successful adoption and implementation of such innovations, changes in the social system are required, at organisational and individual levels. Practical implications – The learning points from this study may be relevant to the substance misuse sector, and more widely to criminal justice, health and social care organisations. Originality/value – This study is the first of its kind to use a qualitative approach to examine processes of implementation of CAT for substance misuse within a large treatment and recovery organisation.

scholarly journals A Novel Recommendation Algorithm Based on Diffusion of Innovation Theory

2019 ◽  
Vol 12 (6) ◽  
pp. 87-95
Author(s):  
Liang Zhang ◽  
◽  
Xuesheng Qian ◽  
Ping Lv ◽  
Xue Zhou ◽  
...  
Keyword(s):  
Diffusion Of Innovation ◽  
Innovation Theory ◽  
Recommendation Algorithm ◽  
Diffusion Of Innovation Theory

Collaboration between Academia and Industry

2011 ◽  
pp. 177-188
Author(s):  
J. McAvoy ◽  
E. Van Sickle ◽  
B. Cameron
Keyword(s):  
Diffusion Of Innovation ◽  
Storage System ◽  
Academic Departments ◽  
Innovation Theory ◽  
Diffusion Of Innovation Theory ◽  
Storage Technology ◽  
Knowledge Barriers ◽  
The Cost

In industry, up to 40% of an IS budget can be spent on Storage technology, making it the fastest growing segment of IT/IS. While industry has recognised the need to diffuse this technology, academia has been slow to respond to this diffusion need. Universities are not teaching courses in this area and a variety of reasons are presented ranging from lack of skills, to bureaucratic delays, to cost (the cost of installing a Storage system for use by students is a massive expenditure well beyond the budgets of most IS academic departments).This chapter concentrates on the lack of skills (knowledge barriers in the parlance of diffusion of innovation theory) and examines ways to overcome this. The knowledge skills are present in industry, so collaboration between industry and academia is a suggested solution. Collaboration between industry and academia, though, is fraught with problems. The aim of this research therefore is to examine how this collaboration can be effective. Interestingly, the result of this research suggests true collaboration is not the solution, but a win-win situation is still possible for all stakeholders.

Fast Organizations

2015 ◽  
Vol 6 (3) ◽  
pp. 21-31 ◽  
Author(s):  
Henrik Vejlgaard
Keyword(s):  
Technological Innovation ◽  
Diffusion Of Innovation ◽  
New Technology ◽  
Theoretical Framework ◽  
Adoption Process ◽  
Innovation Theory ◽  
Diffusion Of Innovation Theory ◽  
Technology Innovations ◽  
Digital Terrestrial Television

This study aims at finding out if households or organizations are faster in their acceptance of a technological innovation. The object of this study is digital terrestrial television (DTT), specifically the implementation of DTT in Denmark. The theoretical framework is diffusion of innovation theory. Three surveys were carried out for both households and organizations. Based on the surveys, the rate of adoption for households and for organizations could be established. It is clear that organizations accept new technology faster than households during the entire adoption process. An explanation may be that it is the employees in the organization who are the most open to technology innovations who set the agenda for the acceptance process. Danish culture can have had an influence on the findings. If that is the case the findings may be generalizable only to cultures that are similar to Danish culture.

Faculty Perceptions and Participation in Distance Education

2005 ◽  
pp. 1186-1189
Author(s):  
Kim E. Dooley ◽  
James R. Linder ◽  
Chanda Elbert ◽  
Timothy H. Murphy ◽  
Theresa P. Murphrey
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Instructional Technology ◽  
Faculty Perceptions ◽  
Education Programs ◽  
Technology Infrastructure ◽  
Faculty Role ◽  
Distance Learning Environment ◽  
Adoption And Diffusion ◽  
And Diffusion

Research in the field of distance education has recognized the need for a change and modification of the faculty role in teaching at a distance (Jones, Lindner, Murphy & Dooley, 2002; Kanuka, Collett & Caswell, 2002; Miller & Pilcher, 2001). While technological advancements are an important part of the distance-learning environment, basic changes in teaching methods, technique, and motivation are needed to make distance education more effective (Purdy & Wright, 1992). Many studies cite faculty resistance to instructional technology as a primary barrier to the continued growth of distance education programs (Jones et al., 2002; McNeil, 1990). McNeil (1990) noted that attitudinal issues related to how faculty perceive and interact with technology are a bigger barrier to adoption and diffusion of distance education than is technology infrastructure.

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