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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27 Oct 2006
TL;DR: A workshop was held that brought together researchers from the fields of engineering education and sociology in order to examine what is known, and what needs to be known, about the social dynamics of campus change, specifically within engineering colleges as discussed by the authors.
Abstract: A workshop was held that brought together researchers from the fields of engineering education and sociology in order to examine what is known, and what needs to be known, about the social dynamics of campus change, specifically within engineering colleges. The goal of the cross-disciplinary working group was to develop a research agenda that will provide a context for examining the social and organizational processes that affect the diffusion and acceptance of new engineering curricula and pedagogy. Workshop attendees participated in sessions related to one of three topic areas: organizational context and faculty behavior, faculty rewards, and diffusing innovations. This paper will examine how well these two communities of researchers worked together, what the outcomes of the workshop were, and what the next steps are for the project.
Journal Article•
TL;DR: The result of online survey revealed some factors (taste, price, availability, packaging and image), which affect the decision to re-tweet or not an information pertaining new food product following the Diffusion of Innovations model.
Abstract: In less than 4 years since its introductions, Twitter has become the fastest growing social networking tool. Working very much the same as a blog, it has been used widely by businesses as well as individuals to share information, introduce new product/idea, etc. Using Twitter, a person has the choice whether or not to forward (re-tweet) the message from/to his/her friends or social networks that he/she belongs to. The result of online survey revealed some factors (taste, price, availability, packaging and image), which affect the decision to re-tweet or not an information pertaining new food product following the Diffusion of Innovations model. On the other hand, the independent and autonomous behavior of members in a social network such as Twitter satisfies the characteristics of Agent Based Simulation model. Using NetLogo software, this paper aims to disclose the result of an Agent Based Simulation model which showed when and why a person will or will not re-tweet a message that he/she received from his/her friends or social networks that he / she belongs to by applying the concept of Diffusion of Innovations Keywords: twitter, social networking, agent based simulation, diffusion of innovation, NetLogo
Posted Content•
TL;DR: In this article, the authors examine patterns of bill sponsorship across 45 state legislatures in the area of criminal justice policy, looking at innovative policies adopted and considered between 1993 and 2004, and find that policy attributes do not directly influence the likelihood of legislative entrepreneurship, but condition the relationship between legislative specialization and entrepreneurship.
Abstract: While the diffusion of policy innovations has been studied extensively at the enactment stage, relatively less attention has been paid to the earlier stages of the process (Karch 2007). In particular, we know relatively little about factors that influence the agenda-setting stage, in which the actions of individual “legislative entrepreneurs” (Mintrom 1997; Wawro 2000) are more important than the institutional, political, and spatial factors that are highly relevant at the enactment stage. In this paper, I argue that patterns in legislative entrepreneurship should be influenced by political and institutional factors, such as expertise and electoral self-interest, but also by five policy attributes, the characteristics associated with Everett Rogers’ typology of innovation attributes. I examine patterns of bill sponsorship across 45 state legislatures in the area of criminal justice policy, looking at innovative policies adopted and considered between 1993 and 2004. I find that policy attributes do not directly influence the likelihood of legislative entrepreneurship, but that policy attributes condition the relationship between legislative specialization and entrepreneurship.
29 Feb 2016
TL;DR: Invention diffusion is studied as an emergent process of adaptive social learning in an evolutionary context and it is unclear how the diffusion of innovations is related to the efficacy of any particular social learning mechanism or strategy.
Abstract: Many animals rely heavily on social learning learning facilitated by the observation of, or interaction with another individual or its products [1] and theory predicts that this learning should be strategic in order to be adaptive [2]. For some species, including humans, social learning leads to the diffusion and maintenance of behaviours over many generations: the process of cultural transmission [3]. It is hypothesised that species differences in cultural complexity are driven by differences in evolved social learning mechanisms and the population dynamics of different cultural systems [4, 5]. The diffusion of innovations is an integral part of this cultural process and whilst it is understood that biases in social learning will impact the diffusion of innovation [6, 7], it is unclear how the diffusion of innovations is related to the efficacy of any particular social learning mechanism or strategy. Here we study innovation diffusion as an emergent process of adaptive social learning in an evolutionary context.