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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: The case system inclusive of the grounded case theory, diffusion of innovation theory, innovation-process theory and their application during the ERP system implementation is discussed.
Abstract: This paper discusses the critical use and lessons learned from the single case model while implementing an Enterprise Resource Planning ERP system at a leading university. The researcher examined one university's business ERP in the deployment of a new enterprise system, a complex phenomenon which took place over several stages and involved different players at each stage. The paper discusses the case system inclusive of the grounded case theory, diffusion of innovation theory, innovation-process theory and their application during the ERP system implementation.

2 citations

01 Jan 2004
TL;DR: In this paper, the authors examined the impact of networking on learning via the transfer of tacit knowledge and in turn, innovation diffusion for Australian regional SMEs and found that while SMEs do participate in Australian regional cluster/networks and knowledge is transferred amongst some members - innovation diffusion and transfer on the desired scale does not result.
Abstract: This paper examines the impact of networking on learning via the transfer of tacit knowledge and in turn, innovation diffusion for Australian regional SMEs. The findings suggest that Australian regional industry cluster/networks play an important role in facilitating "learning" via the transfer of tacit knowledge for SMEs. In turn, a small number of firms benefit from the diffusion of innovation. In contrast to past studies, this study identified minimal evidence of SMEs collaborating on joint supply-side or marketing opportunities. The findings suggest that while SMEs do participate in Australian regional cluster/networks and knowledge is transferred amongst some members - innovation diffusion and transfer on the desired scale does not result. A number of reasons may be the cause for this; Australians may be less trusting in their approach to business, hence developing a culture that includes collaborative activities may require time. In addition, government policies based predominantly on traditional rational economic models may not be appropriate for growing SMEs. More research is required to understand their goals and the factors affecting their decision-making before developing policies aimed at assisting them.

2 citations

Posted Content
TL;DR: In this article, the authors provide a fitting tribute to the diversity and depth of Paul David's contributions, ranging from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of knowledge using patent data.
Abstract: This outstanding collection provides a fitting tribute to the diversity and depth of Paul David’s contributions. The papers included range from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of the diffusion of knowledge using patent data.

2 citations

Posted Content
TL;DR: In this paper, the authors show that the relationship between inequality and environmental innovation is highly non-linear and crucially depends on per-capita income, and that an excessive inequality harms the development of environmental technologies especially in rich countries.
Abstract: Within rich countries, a large dispersion in the capacity of generating environmental innovations appears correlated to the level of inequality. Previous works analyse the relationship between inequality and environmental quality in a static setting. This paper builds a dynamic model more suitable to analyze technological externalities driven by the emergence of a new demand for green products. Under fairly general assumptions on technology and preferences, we show that: 1. the relationship between inequality and environmental innovation is highly non-linear and crucially depends on per-capita income; 2. an excessive inequality harms the development of environmental technologies especially in rich countries. Key to our results is the fact that externalities generated by pioneer consumers of green products benefit the entire population only for relatively low income distances. The empirical analysis robustly confirms our theoretical results, that is: whereas for rich countries inequality negatively affects the diffusion of innovations, per-capita income is paramount in poorer ones.

2 citations

Ezgi Baran1
01 Jan 2009
TL;DR: In this paper, the authors analyze key factors influencing possible 3G acceptance in Turkey, where 3G is expected to be released by July, 2009, and provide explanations to the significance of the influence of critical factors, adapted from established theories of innovation, on the acceptance of 3G.
Abstract: Third generation mobile communication standard (3G) is an incremental innovation which follows the prior developments from 1G to 2,5G and provides several services including intranet/extranet access, customized infotainment, multimedia messaging service, internet access, location-based services and rich voice. This study aims to analyze key factors influencing possible 3G acceptance in Turkey, where 3G is expected to be released by July, 2009. This study provides explanations to (1) the significance of the influence of critical factors, adapted from established theories of innovation, on the acceptance of 3G (2) demographic characteristics of the individuals influencing adoption intentions of 3G technologies. In doing so, this study draws upon several wellknown theories, namely, technology acceptance model (TAM), the theory of planned behavior (TPB), diffusion of innovation theory and network externalities theory. The study is conducted via an online survey, through which 282 responses are obtained. It uses descriptive statistics and Multinomial Logistic Regression to analyze data and examine the influence of the defined critical factors and demographic characteristics on 3G adoption intentions.

2 citations


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