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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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TL;DR: In this article, the authors developed and tested a model of the effects of perceived consumption visibility and superordinate group influence on new product intention formation and found that perceived visibility of consumption significantly affects consumers' predictions of normative outcomes (i.e., social approval from referents).
Abstract: The social context of new product adoption behavior is a key aspect of the diffusion of innovations. Yet little is known about the process by which social contextual factors influence individual adoption decisions. This research develops and tests a model of the effects of perceived consumption visibility and superordinate group influence on new product intention formation. A structural equation model is used in an experimental design to provide a comprehensive view of variable interdependencies and to incorporate measurement error. Key findings indicate that (1) perceived visibility of consumption significantly affects consumers' predictions of normative outcomes (i.e., social approval from referents) and (2) superordinate group influence has a direct effect on consumers' perceptions of consumption visibility and expectations of both personal (i.e., intrinsically valued product benefits) and normative outcomes from early adoption. The results have important implications for understanding the role of consumption symbols as mechanisms for social differentiation and integration.

264 citations

Journal ArticleDOI
TL;DR: It is demonstrated that even when external signals are absent, social influence can spontaneously assume an on–off nature in a digital environment.
Abstract: Social influence drives both offline and online human behavior. It pervades cultural markets, and manifests itself in the adoption of scientific and technical innovations as well as the spread of social practices. Prior empirical work on the diffusion of innovations in spatial regions or social networks has largely focused on the spread of one particular technology among a subset of all potential adopters. Here we choose an online context that allows us to study social influence processes by tracking the popularity of a complete set of applications installed by the user population of a social networking site, thus capturing the behavior of all individuals who can influence each other in this context. By extending standard fluctuation scaling methods, we analyze the collective behavior induced by 100 million application installations, and show that two distinct regimes of behavior emerge in the system. Once applications cross a particular threshold of popularity, social influence processes induce highly correlated adoption behavior among the users, which propels some of the applications to extraordinary levels of popularity. Below this threshold, the collective effect of social influence appears to vanish almost entirely, in a manner that has not been observed in the offline world. Our results demonstrate that even when external signals are absent, social influence can spontaneously assume an on–off nature in a digital environment. It remains to be seen whether a similar outcome could be observed in the offline world if equivalent experimental conditions could be replicated.

258 citations

Journal ArticleDOI
TL;DR: It is concluded that low levels of funding, inadequate infrastructure, decentralized decision making and lack of program guidance have contributed to the slow progress in improving school-based prevention.
Abstract: This study examines adoption and implementation of the US Department of Education’s new policy, the ‘Principles of Effectiveness’, from a diffusion of innovations theoretical framework. In this report, we evaluate adoption in relation to Principle 3: the requirement to select researchbased programs. Results from a sample of 104 school districts in 12 states indicate that many districts appear to be selecting research-based curricula, but that the quality of implementation is low. Only 19% of the responding district coordinators indicated that schools were implementing a research-based curriculum with fidelity. Common problems included lack of teacher training, lack of requisite materials, use of some but not all of the required lessons and teaching strategies, and failure to deliver lessons to age-appropriate student groups. This study represents the first attempt to assess the quality of implementation of research-based programs as required by the Principles of Effectiveness. We conclude that low levels of funding, inadequate infrastructure, decentralized decision making and lack of program guidance have contributed to the slow progress in improving school-based prevention.

251 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a diffusion model for the adoption and diffusion of innovations among organizations, and integrated relevant research findings into the diffusion model to provide useful insights to manage and market products based on new technology most effectively.
Abstract: In today′s competitive environment technology plays an important role. Diffusion theory offers useful insights into how to manage and market products based on new technology most effectively. However, the current diffusion model leaves much unsaid with regards to the adoption and diffusion of innovations among organizations owing to the fact that relevant research findings have not been incorporated in the diffusion model. Integrates these findings into the diffusion model.

243 citations

Journal ArticleDOI
TL;DR: A comprehensive framework of research dissemination and utilization that is useful for both health policy and clinical decision-making is constructed and illustrates that the process of the adoption of research evidence into health-care decisions is influenced by a variety of characteristics related to the individual, organization, environment and innovation.
Abstract: Purpose (1) The purpose of this paper is to construct a comprehensive framework of research dissemination and utilization that is useful for both health policy and clinical decision-making. Organizing Construct (2) The framework illustrates that the process of the adoption of research evidence into health-care decisionmaking is influenced by a variety of characteristics related to the individual, organization, environment and innovation. The framework also demonstrates the complex interrelationships among these characteristics as progression through the five stages of innovation-namely, knowledge, persuasion, decision, implementation and confirmation- occurs. Finally, the framework integrates the concepts of research dissemination, evidence-based decision-making and research utilization within the diffusion of innovations theory. Methods (3) During the discussion of each stage of the innovation adoption process, relevant literature from the management field (i.e., diffusion of innovations, organizational management and decision-making) and health-care sector (i.e., research dissemination and utilization and evidence based practice) is summarized. Studies providing empirical data contributing to the development of the framework were assessed for methodological quality. Conclusions (4) The process of research dissemination and utilization is complex and determined by numerous intervening variables related to the innovation (research evidence), organization, environment and individual.

240 citations


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