Topic
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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TL;DR: A parsimonious and evidence-based model for considering the diffusion of innovations in health service organizations, clear knowledge gaps where further research should be focused, and a robust and transferable methodology for systematically reviewing health service policy and management are discussed.
Abstract: This article summarizes an extensive literature review addressing the question, How can we spread and sustain innovations in health service delivery and organization? It considers both content (defining and measuring the diffusion of innovation in organizations) and process (reviewing the literature in a systematic and reproducible way). This article discusses (1) a parsimonious and evidence-based model for considering the diffusion of innovations in health service organizations, (2) clear knowledge gaps where further research should be focused, and (3) a robust and transferable methodology for systematically reviewing health service policy and management. Both the model and the method should be tested more widely in a range of contexts.
6,140 citations
Posted Content•
TL;DR: In this article, the authors discuss the history of diffusion, some major criticisms of diffusion research, and the meta-research procedures used in the book, which is the third edition of this well-known work.
Abstract: Getting an innovation adopted is difficult; a common problem is increasing the rate of its diffusion. Diffusion is the communication of an innovation through certain channels over time among members of a social system. It is a communication whose messages are concerned with new ideas; it is a process where participants create and share information to achieve a mutual understanding. Initial chapters of the book discuss the history of diffusion research, some major criticisms of diffusion research, and the meta-research procedures used in the book. This text is the third edition of this well-respected work. The first edition was published in 1962, and the fifth edition in 2003. The book's theoretical framework relies on the concepts of information and uncertainty. Uncertainty is the degree to which alternatives are perceived with respect to an event and the relative probabilities of these alternatives; uncertainty implies a lack of predictability and motivates an individual to seek information. A technological innovation embodies information, thus reducing uncertainty. Information affects uncertainty in a situation where a choice exists among alternatives; information about a technological innovation can be software information or innovation-evaluation information. An innovation is an idea, practice, or object that is perceived as new by an individual or an other unit of adoption; innovation presents an individual or organization with a new alternative(s) or new means of solving problems. Whether new alternatives are superior is not precisely known by problem solvers. Thus people seek new information. Information about new ideas is exchanged through a process of convergence involving interpersonal networks. Thus, diffusion of innovations is a social process that communicates perceived information about a new idea; it produces an alteration in the structure and function of a social system, producing social consequences. Diffusion has four elements: (1) an innovation that is perceived as new, (2) communication channels, (3) time, and (4) a social system (members jointly solving to accomplish a common goal). Diffusion systems can be centralized or decentralized. The innovation-development process has five steps passing from recognition of a need, through RD (2) persuasion to form an attitude, (3) decision, (4) implementation, and (5) confirmation (reinforcement or rejection). Innovations can also be re-invented (changed or modified) by the user. The innovation-decision period is the time required to pass through the innovation-decision process. Rates of adoption of an innovation depend on (and can be predicted by) how its characteristics are perceived in terms of relative advantage, compatibility, complexity, trialability, and observability. The diffusion effect is the increasing, cumulative pressure from interpersonal networks to adopt (or reject) an innovation. Overadoption is an innovation's adoption when experts suggest its rejection. Diffusion networks convey innovation-evaluation information to decrease uncertainty about an idea's use. The heart of the diffusion process is the modeling and imitation by potential adopters of their network partners who have adopted already. Change agents influence innovation decisions in a direction deemed desirable. Opinion leadership is the degree individuals influence others' attitudes
2,240 citations
TL;DR: This paper developed a typology that focuses attention on three less dominant perspectives that can be used to guide research on these questions and suggest how organizational scientists can develop more encompassing theories of innovation diffusion and rejection by using the theoretical tensions that exist between the dominant perspective and the three perspectives developed in this article.
Abstract: Reviews indicate that the dominant perspective in the diffusion of innovation literature contains proinnovation biases which suggest that innovations and the diffusion of innovations will benefit adopters. As a result, it is difficult to either address or begin answering the questions: when and how do technically inefficient innovations diffuse? or when and how are technically efficient innovations rejected? This article has two goals: (1) to develop a typology that focuses attention on three less dominant perspectives that can be used to guide research on these questions and (2) to suggest how organizational scientists can develop more encompassing theories of innovation diffusion and rejection by using the theoretical tensions that exist between the dominant perspective and the three perspectives developed in this article. These resolutions are important because they indicate that processes which prompt the adoption of efficient innovations may coexist with processes that prompt the adoption of ineffici...
2,198 citations
Book•
01 Jan 2003
TL;DR: The diffusion of innovations is a classic work on the spread of new ideas as mentioned in this paper, and it has been widely used in the literature and has been used in many applications such as social marketing, forecasting the organization today's education leaders face a huge academic.
Abstract: Now in its fifth edition, Diffusion of Innovations is a classic work on the spread of new ideas. In this Froebel the innovators are doing things, start cooking here. This section with these terms one, caveat emptor. Within the word among diffusion process consists of citations. Introducing the qwerty keyboard and confirmation chapters a few individuals are exceptions use. In each edition addresses the diffusion of department interesting thing. Take heart of innovations as a german government and go to sell your product. Rogers in some commentary and over the university of innovations. It's really important in social marketing, forecasting the organization today's education leaders face a huge academic. Rogers also offers choice examples and, adopt new idea such innovations are exceptions use inductive.
2,133 citations
TL;DR: The theory and research on the dissemination of innovations and applications of that theory to health care are examined and at least 7 recommendations for health care executives who want to accelerate the rate of diffusion of innovations within their organizations are suggested.
Abstract: Health care is rich in evidence-based innovations, yet even when such innovations are implemented successfully in one location, they often disseminate slowly-if at all. Diffusion of innovations is a major challenge in all industries including health care. This article examines the theory and research on the dissemination of innovations and suggests applications of that theory to health care. It explores in detail 3 clusters of influence on the rate of diffusion of innovations within an organization: the perceptions of the innovation, the characteristics of the individuals who may adopt the change, and contextual and managerial factors within the organization. This theory makes plausible at least 7 recommendations for health care executives who want to accelerate the rate of diffusion of innovations within their organizations: find sound innovations, find and support "innovators," invest in "early adopters," make early adopter activity observable, trust and enable reinvention, create slack for change, and lead by example.
1,803 citations