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Diffusion of innovations

About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.


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Journal ArticleDOI
TL;DR: It appears that if a policy is developed to further diffuse innovations, the external effects of demand and market competition need to be examined, which would de facto lead to an efficient use of technology.
Abstract: This study identifies the factors that affect the diffusion of hospital innovations. We apply a log odds random effects regression model on hospital micro data. We introduce the concept of clustering innovations and the application of a log odds random effects regression model to describe the diffusion of technologies. We distinguish a number of determinants, such as service, physician, and environmental, financial and organizational characteristics of the 60 Dutch hospitals in our sample. On the basis of this data set on Dutch general hospitals over the period 1995–2002, we conclude that there is a relation between a number of determinants and the diffusion of innovations underlining conclusions fromearlier research. Positive effectswere found on the basis of the size of the hospitals, competition and a hospital’s commitment to innovation. It appears that if a policy is developed to further diffuse innovations, the external effects of demand and market competition need to be examined, which would de facto lead to an efficient use of technology. For the individual hospital, instituting an innovations office appears to be the most prudent course of action.

10 citations

Proceedings ArticleDOI
22 Jul 2013
TL;DR: Results indicate that opinion leadership was the strongest factor predicting users' news sharing, followed by news attribute and tie strength, and Unexpectedly, it was found that homophily hampered news sharing in social media.
Abstract: This study aims to investigate the factors influencing news sharing in social media. Drawing from the diffusion of innovations theory (DOI), the influential factors identified are opinion leadership, homophily, tie strength, and news attributes. By incorporating social network analysis with multiple regression analysis, our results indicate that opinion leadership was the strongest factor predicting users' news sharing, followed by news attribute and tie strength. Unexpectedly, we also found that homophily hampered news sharing in social media. Implications are discussed

10 citations

Journal ArticleDOI
TL;DR: While recognising the usefulness of the model of diffusion of innovations in mapping the processes by which diffusion occurs, the use of methods that lend themselves to in-depth analysis, such as ethnography and the application of relevant bodies of social theory are needed.
Abstract: Objective To test whether the model of ‘diffusion of innovations’ enriches understanding of the implementation of evidence-based thrombolysis services for stroke patients.Methods Four case studies of the implementation of evidence on thrombolysis in stroke services in England and Sweden. Semistructured interviews with 95 staff including doctors, nurses and managers working in stroke units, emergency medicine, radiology, the ambulance service, community rehabilitation services and commissioners.Results The implementation of thrombolysis in acute stroke management benefited from a critical mass of the factors featured in the model including: the support of national and local opinion leaders; a strong evidence base and financial incentives. However, while the model provided a starting point as an organizational framework for mapping the critical factors influencing implementation, to understand properly the process of implementation and the importance of the different factors identified, more detailed analyses of context and, in particular, of the human and social dimensions of change was needed.Conclusions While recognising the usefulness of the model of diffusion of innovations in mapping the processes by which diffusion occurs, the use of methods that lend themselves to in-depth analysis, such as ethnography and the application of relevant bodies of social theory, are needed.

10 citations

Journal IssueDOI
TL;DR: This article explored the role of the literature in the diffusion of new information; the influence of literature on the innovation-decision process; and how the concept of tie strength can contribute to a greater understanding of the role literature in information transmission.
Abstract: Using content analysis, this study explored the role of the literature in the diffusion of new information; the influence of the literature on the innovation-decision process; and how the concept of tie strength can contribute to a greater understanding of the role of the literature in information transmission. Diffusion of innovations and strength of weak ties theories provided the framework that informed this research, and an illustrated medical case study, changing practices related to hormone therapy for menopausal women, provided context for the study. Findings suggest that published literature impacts the innovation-decision process and thus plays an integral role in the diffusion of medical innovation to physicians and consumers; that the view of literature as a bridging “weak tie” in a multifactor communication network allows for a more comprehensive understanding of the role of published literature in information diffusion; and that medical and lay articles are not neutral channels, they function to provide information, reinforce knowledge, and produce and shape meaning. © 2006 Wiley Periodicals, Inc.

10 citations

Journal Article
TL;DR: In this paper, a model of the linkages between rationale (goals, objectives, topics), structural factors, functions and results (output, outcomes and impact) of on-farm demonstrations is presented.
Abstract: Research on the adoption and diffusion of innovations has consistently confirmed that one of farmers’ most commonly cited sources of information and ideas is other farmers. Demonstrations concern the practical exhibition (and explanation) of how something works and have for long been one of the most important extension techniques. On-farm demonstrations facilitate an effective learning situation for farmers to “See the crops themselves”, “interact with the scientists and extension workers on the field”, and “get doubts clarified themselves”. In the literature concerning on-farm demonstrations, a wide range of structural characteristics are described. These differ according to the actors/networks involved and their roles, the audience/ attendees, the network structure and its characteristics, resources, finances and incentives, and characteristics related to the farm (geographic location, accessibility, etc.). The current paper will elaborate on such structural characteristics and will thus contribute to building a provisional model of the linkages between rationale (goals, objectives, topics), structural factors, functions and results (output, outcomes and impact).

10 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202310
202236
202172
202078
201977
201898