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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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01 Feb 2005
TL;DR: In this article, the authors propose a demand-side paradigm that engages users throughout the research process, and two models to guide the management of "action production" to make happen the improvements in the quality of health care that have been identified from significant investments in patient safety research by the AHRQ.
Abstract: : This paper addresses how to make happen the improvements in the quality of health care that have been identified from significant investments in patient safety research by the Agency for Healthcare Research and Quality (AHRQ). We make the case that the usual supply-side research model is inefficient to produce the health care changes expected from AHRQ. We propose a shift to a demand-side paradigm that engages users throughout the research process, and two models to guide the management of "action production." The first model is based on Rogers' model of diffusion of innovations, which indicates that users must absorb a great deal of information in a variety of staged and specific ways in order to make a successful passage from knowledge to action through tactics including awareness, persuasion, adoption, implementation, and confirmation. The second is a decision model, termed distillation, which provides a framework for determining the potential utility and priority of an innovation based on the strength of the science, potential impact, adoptability, and readiness. We address lessons learned from the application of these models to the early implementation experiences of five early outputs from the AHRQ patient safety portfolio. We find that the implementation of the early findings places a strong reliance on information dissemination mostly at the awareness and persuasion stages--efforts directed at the later stages of decision, implementation, and confirmation have been modest. Ongoing evaluation of the impact of these approaches on patient safety practices and quality of care will indicate if the models provide useful guidance in making changes happen.

3 citations

01 Jan 2015
TL;DR: In this paper, the authors present a study about the determinants of the diffusion of activity-based costing (ABC) and find that the relative advantage and trialability of ABC are important determinants for its diffusion.
Abstract: Activity-Based Costing (ABC) has often been considered to be one of the most important innovations in management accounting. Although the interest in this instrument is very high, its diffusion in practice remains relatively low. Given that several variables determining the diffusion of innovations in management accounting, have still not been researched, this paradox remains to be explained.We aim to shed light on this question and present a study about the determinants of the diffusion of ABC. Based on a survey among manufacturing firms in Germany, we test hypotheses derived from Rogers’ (2003) theory of diffusion focusing on the perceived attributes of an innovation.Our results show that Rogers’ theory has some explanatory power because in line with extant research, we find that the relative advantage and trialability of ABC are important determinants for its diffusion. We attribute the finding that ease of use, compatibility, and observability have only positive but no significant effects to the fact that ABC is an administrative innovation that diffuses among organizations, which is different from the origins of the applied theoretical framework which lie in technical innovations that diffuse among individuals.

3 citations

Book ChapterDOI
01 Jan 2020
TL;DR: In this paper, the authors examine bottom-up and widespread diffusion of an LA platform, the Student Relationship Engagement System (SRES), through an Australian university, using two elements of Rogers' model of diffusion of innovations, innovation and communication channels.
Abstract: While there is a broad consensus around the potential for learning analytics (LA) to positively affect education, widespread adoption of LA in higher education is lacking. LA research has produced frameworks supporting policy development; however, many of these top-down approaches focus on managing resistance to change. In this chapter, we view adoption as occurring at the level of individual faculty and staff who may use LA day-to-day, and diffusion as the higher-level group phenomenon that focuses on the ways in which an innovation spreads. We examine bottom-up and widespread diffusion of an LA platform, the Student Relationship Engagement System (SRES), through an Australian university. Using two elements of Rogers’ model of diffusion of innovations, innovation and communication channels, we explore diffusion of SRES through the lens of teachers’ experiences. Our findings highlight the strength of a bottom-up approach based on LA fulfilling teachers’ unmet needs, leading to organic growth of champions that co-create value in use of LA.

3 citations

Proceedings Article
09 Jun 2008
TL;DR: This research takes a broader perspective by adding principles of network analysis to the basics of meta-analysis by using the Open Knowledge Infrastructure (OpenKI), a publicly accessible online database that allows storage and retrieval of hypotheses and meta-information of scientific papers.
Abstract: The adoption and usage of new information and communication technologies (ICT) have been investigated from different theoretical points of view, such as Diffusion of Innovations (DOI; Rogers, 1995) and the Technology Acceptance Model (TAM; Davis, 1989). Numerous empirical studies are available, but systematic reviews that accumulate the results are not abundant. Meta-analysis is a way to accumulate the results of scientific research. Usually, a meta-analysis study focuses on investigating collected empirical results with regard to a single hypothesis. In this research we take a broader perspective by adding principles of network analysis to the basics of meta-analysis. This encompasses that we consider the concepts (or variables) in the hypotheses of relevant scientific papers and use them as the nodes in a network. Moreover, the presupposed relations between the concepts (also depicted in the hypotheses) are the links between nodes. The concept network that emerges can subsequently be analyzed in terms of e.g. density and degree. In order to test the robustness of a theory we compare the network of theoretically posed relations to the network of relations that are empirically validated and found significant. The paper describes the use of this approach towards meta-analysis as well as a tool that supports the approach: the Open Knowledge Infrastructure (OpenKI). This publicly accessible online database allows storage and retrieval of hypotheses and meta-information of scientific papers.

3 citations


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