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.

Is OO the Systems Development Technology for Your Organization

Abstract: Object-oriented technology, emerged in response to the growing needs for developing and maintaining complex software system, has aroused a great deal of interests in both academia and industry. After more than a decade, there is still no clear result describing the extent to which the technology is used. A recent survey found that the adoption rate of object-oriented technology in systems analysis and design is much lower than expected. This study applies the theory of diffusion of innovations to investigate the extent to which the technology is used and the reasons as to why it is being adopted or not adopted. Based on the survey findings, an instrument is proposed for organizations to assess whether they are ready to adopt this new paradigm for their systems development. The purpose of this study is to help management make informed decisions on the adoption of object-oriented systems development methodologies in their organizations.

Innovation steps in the diffusion of e-customs solutions

Abstract: This article examines the diffusion of an e-government innovation, a common e-customs standardized solution, which is currently subject of research in the European Union. The main goal of this study is to identify facilitators and barriers that can influence the adoption of standardized e-customs solutions. The research bases on Rogers' theory of innovation considering the technological environment. Within the framework of a European funded project, we conduct our study collecting data from interviews and workshops involving an inhomogeneous group of participants, i.e. stakeholders coming from academy, industry, and governmental institutions. By demonstrating the existence of four generic facilitators and three barriers, the article contributes towards the research in the diffusion and adoption of egovernment standards and in particular of standardized e-customs solutions.

Characterization of Mexican cybermedia: A vision from the diffusion of innovations

Abstract: This article aims to characterize the sector of Mexican cybermedia using the diffusion of innovations theory and analyzing the level of adoption of technologies associated with discursive elements of the digital environment For this purpose, an inventory of cybermedia in the countrywas made Furthermore, the cybermedia sector is described based on its geographic location Finally, we analyze the levels of diffusion of digital technologies such as multimedia, APPs and augmented reality We conclude that the video technologies have the highest level of adoption Likewise, we found that native organizations have the highest levels of adoption in multimedia technologies

Adaptation of Big Data: an empirical investigation for sustainability of education

Abstract: The current study aims at developing a framework to assess big data use for education and encompassing the theoretical background of knowledge sharing and diffusion of innovations in the educational environment. This study hypothesizes that age and cultural diversity, and motivators can influence knowledge sharing, whereas the constructs of relative advantage, trialability, complexity, observability would impact innovations. Thus, innovations influence knowledge sharing and would be positively associated with behavioural intention to use big data and sustainability for education. This study utilized a version of knowledge sharing model and Diffusion of Innovations (DOI) theory as the study framework and implemented quantitative approach for data analysis by collecting 494 responses from university students who were elected using stratified random sampling technique. The data were processed using eleven factors to unveil and understand the predictors of big data use for education sustainability. The study adopts the quantitative approach and employs structure equation modelling (SEM) to data analysis. According to the study’s findings, age and cultural diversity and motivators significantly determine knowledge management sharing, while relative advantage, trialability, complexity, and observability have a positive impact on innovations. The adoption of innovations, knowledge sharing, and big data are able to capture 78.9% of sustainability phenomenon on education. Further, the study concludes by reporting findings and implications for research and practitioners.

Social capital and diffusion of innovations : An analysis of farm households in rural Punjab

Abstract: Diffusion of innovations is a theory that seeks to explain how, why and at what rate new ideas and technology spread through cultures and across communities. For the agricultural development to be sustainable and for the self-sustaining of innovations, an innovation must be widely adopted. Adopters may be individuals, communities, clusters within social networks, organizations or countries. Early adopters – the individuals who have the highest degree of opinion leadership – have a higher social status, financial liquidity, advanced education and are more socially forward than the late adopters – the individuals who are typically sceptical about an innovation. Social capital develops a link between early adopters and late adopters of innovations. The change agents, who may come from outside the community, bring innovations to (new) communities, first through the early adopters and then, because of the presence of social capital among the community members, the innovation spills over throughout the community. Sometimes, innovations fail because of the high knowledge requirements to adopt a new idea or technology. Even in such cases, the support from the early adopters can increase the chances for wider adoption of innovations. Social capital enables farmers to learn the best ways of applying new and improved knowledge and technology and to judge their usefulness and effects. In this chapter, an attempt is being made to review the existing literature on the productive relationship between social capital and diffusion of innovations. The supportive empirical evidence is provided on the basis of the data collected from 157 farm households from three districts of Punjab: Jalandhar, Ludhiana and Muktsar. It is observed in the field survey that social capital among farmers is helpful in accessing information on the use of knowledge and technology. The results of the field survey data reveal that more than 80 per cent households (126 households) depend upon social capital to take decisions to adopt innovations. The study suggests that social capital has a significant influence on the decisions of farmers to adopt innovations. Thus, for the diffusion of innovations (i.e. to make full use of an innovation), there is a need of further research to understand deeply the social processes affecting innovation adoption decisions.