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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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Journal ArticleDOI
TL;DR: This paper examines four domain engineering projects and finds that each project was guided by two sets of criteria for success — one addressing the concerns of good engineering practice and the other addressing the special needs of technology transfer.
Abstract: During the last five years, the Switching and Access Solutions Group of Lucent Technologies has made a considerable investment in domain engineering. Much of this work has been motivated by a desire to reduce the software development interval. The use of domain engineering has helped to decrease considerably the time required to design and implement software. In this paper, we examine four domain engineering projects. We find that each project was guided by two sets of criteria for success — one addressing the concerns of good engineering practice and the other addressing the special needs of technology transfer. The five critical attributes of new technology identified by E. M. Rogers's Diffusion of Innovations — relative advantage, compatibility, complexity, trialability, and observability — play an important role in domain engineering. In the projects we examine, attention to these attributes helped shape the final products and the processes by which they were created.

15 citations

Journal ArticleDOI
TL;DR: The study findings suggest that ICT application adoption in HBB participants is not uniform, with adoption of applications such as e-mail differing from adoption of newer applications, such as social networking.
Abstract: Purpose – The purpose of this paper is to report on a study that examines an under-researched area, the use of information and communications technologies (ICT) in Australian home-based businesses (HBB). Design/methodology/approach – HBB constitute a large part of the economy, yet little is known of how they use ICT to improve their business operations. The study involved a case study comprising interviews with 30 business operators in the Western region of Melbourne, a major Australian city. The findings were analysed using a unique approach to Rogers’ (2003) Diffusion of Innovations, employing the innovation-decision process as a lens for the analysis. Findings – The study findings suggest that ICT application adoption in HBB participants is not uniform, with adoption of applications such as e-mail differing from adoption of newer applications, such as social networking. ICT use needs to be considered according to individual ICT applications and explained in the context of particular HBB. The study cont...

15 citations

Journal ArticleDOI
TL;DR: In this article, the authors apply an actor market configuration perspective to the analysis of four longitudinal case studies regarding the commercialization of new products in the textile, plastic and energy industries, and provide managers with a number of recommendations for selecting the most proper category of early adopters for their innovations, depending on the role they are more likely to play and the influence they will exert on subsequent acceptance in the later market.
Abstract: Purpose The purpose of this paper is to bring new empirical evidence to the controversial role of early adopters in the diffusion of innovations in industrial markets. Design/methodology/approach The authors apply an actor market configuration perspective to the analysis of four longitudinal case studies regarding the commercialization of new products in the textile, plastic and energy industries. Findings The diffusion of innovation is an interactive and iterative process where the commercializing firm engages in repeated interactions with different categories of companies that are targeted as potential early adopters. This process ends when the commercializing firm identifies a category of early adopters that can stimulate subsequent acceptance in the later market, by playing one of the following two roles, i.e. word-of-mouth trigger and industry benchmark. During this process, through which the role of the early adopters is constructed proactively by the commercializing firm, the product innovation is also subject to changes to provide a better fit with the selected category of early adopters. Research limitations/implications The paper calls for a re-conceptualization of the diffusion process, from a passive identification of early adopters to an interactive process that entails a trial-and-error approach in the targeting and involvement of different categories of early adopters, which ends when the innovation reaches the desired levels of diffusion. Practical implications The study provides managers with a number of recommendations for selecting the most proper category of early adopters for their innovations, depending on the role they are more likely to play and the influence they will exert on subsequent acceptance in the later market. Social implications The study provides managers with a number of recommendations for targeting, through a trial-and-error process, early adopters and working with them to champion the dissemination of new technologies. Originality/value This paper significantly adds to existing literature on the diffusion of innovation, which has up to now conceived early adopters as static and given entities, which cannot be proactively selected by the commercializing firm, and innovation as an immutable object.

15 citations

Journal ArticleDOI
TL;DR: It is found that implementation of some technological components of innovation has occurred among health care organizations, but core functions needed to use data to drive innovation are lacking, and solutions that could help speed progress in data-driven innovation are found.
Abstract: Failed diffusion of innovations may be linked to an inability to use and apply data, information, and knowledge to change perceptions of current practice and motivate change Using qualitative and quantitative data from three large-scale health care delivery innovations—accountable care organizations, advanced primary care practice, and EvidenceNOW—we assessed where data-driven innovation is occurring and where challenges lie We found that implementation of some technological components of innovation (for example, electronic health records) has occurred among health care organizations, but core functions needed to use data to drive innovation are lacking Deficits include the inability to extract and aggregate data from the records; gaps in sharing data; and challenges in adopting advanced data functions, particularly those related to timely reporting of performance data The unexpectedly high costs and burden incurred during implementation of the innovations have limited organizations’ ability to addres

15 citations


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