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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.


Papers
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Journal ArticleDOI
01 Sep 2021-Heliyon
TL;DR: In this article, the authors used a combined approach, incorporating targeted searching in PubMed using a key word algorithm with a snowball technique, to identify 120 relevant publications and extract data for qualitative coding.

2 citations

Posted Content
TL;DR: In this article, the adoption and diffusion of innovations in a horizontally differentiated Cournot duopoly in which firms have to choose the dates for adopting a cost-reducing new technology like in Reinganum was analyzed.
Abstract: This note analyses the adoption and diffusion of innovations in a horizontally differentiated Cournot duopoly in which firms have to choose the dates for adopting a cost-reducing new technology like in Reinganum (1981a). We prove that product differentiation crucially matters in the diffusion pattern of the innovation and in the comparison between the adoption timing in the decentralized economy Vs the social optimum .

2 citations

Journal ArticleDOI
TL;DR: How findings from this field of knowledge utilization can be applied to gerontology and, more specifically, to long-term care is indicated.
Abstract: This paper reviews the field of knowledge utilization and indicates how findings from this area can be applied to gerontology and, more specifically, to long-term care. The knowledge utilization areas discussed include the diffusion of innovations, the linkage model of dissemination, the innovative organization model of change, the use of information by policy-makers and the utilization of evaluations. Recommendations on how these results can be applied to gerontology and ways for gerontologists to become involved in knowledge utilization are discussed.

2 citations

Journal ArticleDOI
TL;DR: The National Technology Strategy (Discussion Draft) recently released by the erstwhile Department of Science and Technology from the perspective of existing knowledge and research in the Diffusion of Innovations and New Product Development fields is examined in this article.
Abstract: This paper examines the National Technology Strategy (Discussion Draft) recently released by the erstwhile Department of Science and Technology from the perspective of existing knowledge and research in the Diffusion of Innovations and New Product Development fields. We argue that there are three elements essential to a major change in structural emphasis; a supportive environment, a sound technological base, and a thorough appreciation of the needs and values of end users. The draft strategy contains valuable suggestions in the first two areas, but incorporating end user values into product development is almost totally neglected in spite of a substantial body of literature suggesting the dangers of this approach. The focus of this paper is to establish the need for market factors and user considerations to be given more prominence in the National Technology Strategy. A number of government activities to promote the incorporation of end-user values are suggested.

2 citations

Proceedings ArticleDOI
14 Dec 2014
TL;DR: A stochastic model which decomposes a diffusion trace (sequence of adoptions) in an ordered sequence of stages is proposed, where each stage is intuitively built around two dimensions: users and relative speed at which adoptions happen.
Abstract: We study the data mining problem of modeling adoptions and the stages of the diffusion of an innovation. For our aim we propose a stochastic model which decomposes a diffusion trace (sequence of adoptions) in an ordered sequence of stages, where each stage is intuitively built around two dimensions: users and relative speed at which adoptions happen. Each stage is characterized by a specific rate of adoption and it involves different users to different extent, while the sequentiality in the diffusion is guaranteed by constraining the transition probabilities among stages. An empirical evaluation on synthetic and real-world adoption logs shows the effectiveness of the proposed framework in summarizing the adoption process, enabling several analysis tasks such as the identification of adopter categories, clustering and characterization of diffusion traces, and prediction of which users will adopt an item in the next future.

2 citations


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