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What is the concern direction of Diffusion of innovation in journalism?

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The concern direction of the Diffusion of Innovation in journalism revolves around the contribution of journalists and experts in framing innovations. Additionally, the diffusion of innovations in journalism is influenced by the creation of frames by societal actors, highlighting the role of journalists and experts in shaping the narrative around new technologies. Furthermore, the adoption process of mobile learning (ML) in education, a field closely related to journalism, has been studied under crisis conditions like the COVID-19 pandemic, emphasizing the importance of understanding the adoption process of innovative technologies in different contexts. This multidimensional approach underscores the significance of various societal actors, including journalists, in driving the diffusion of innovations within the journalism landscape.

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Open access•Journal Article•DOI Social media dissemination of a novel digital health approach: a social network analysis of the TeleCheckAF project Klaus Betz, Joep J.G.M. van Haren, Anl Hermans, R. Van Der Velden, Monica Gawalko, Dvm Verhaert, Z. Habibi, Nikki A H A Pluymaekers, Kevin Vernooy, David Duncker, M Manninger-Wuenscher, Jmlh Hendriks, Jgam Lemmink, D. Linz - Show less +13 more 24 May 2023-Europace	Not addressed in the paper.
Open access•Journal Article•DOI Using Rogers' diffusion of innovation theory to conceptualize the mobile-learning adoption process in teacher education in the COVID-19 era Rivi Frei-Landau, Yulia Muchnik-Rozanov, Orit Avidov-Ungar - Show less +2 more 10 Jun 2022-Education and Information Technologies 8 Citations	Not addressed in the paper.
Open access•Journal Article•DOI Innovation Diffusion Elaboration into Architectural Movement Hisham Alaa Husain, Ghada Musa Al-Silk - Show less +1 more 01 Apr 2021-The Journal of Engineering 4 Citations	Not addressed in the paper.
Open access•Journal Article•DOI How journalists and experts metaphorically frame emerging information technologies: The case of cyberinfrastructure for big data: Ellen Droog, Christian Burgers, Kerk F. Kee - Show less +2 more 30 Aug 2020-Public Understanding of Science 6 Citations	The concern direction of Diffusion of Innovation in journalism focuses on how journalists and experts frame emerging information technologies like cyberinfrastructure for big data, shaping societal perceptions and understanding.
Open access•Journal Article•DOI Diffusing new technology without dissipating rents: some historical case studies of knowledge sharing James Bessen, Alessandro Nuvolari - Show less +1 more 01 Apr 2019-Industrial and Corporate Change 4 Citations	Not addressed in the paper.

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Related Questions

Is diffusion of innovation theory mostly used in technological related study?5 answersDiffusion of Innovation theory is widely utilized in technological studies, particularly in understanding the adoption and spread of innovations. It is applied to explore factors influencing the acceptance of new technologies, such as smartwatches, knowledge management systems in banks, and innovation diffusion in organizations. The theory helps in assessing the impact of technological antecedents on the usage of knowledge management systemsand in predicting the successful diffusion of innovations within organizations. While the theory originated in the context of technology, it has also been applied to non-technological areas like financial transactions. Overall, the diffusion of innovation theory is predominantly employed in technological-related studies due to its effectiveness in explaining the adoption and dissemination of new technologies.

What is Diffusion of Innovation Theory?5 answersThe Diffusion of Innovation Theory explains how new ideas, concepts, and practices spread through a population or community. It categorizes adopters into different groups based on their readiness to embrace innovation, with factors like performance expectancy, effort expectancy, and social influence influencing their decisions. This theory has been widely applied across various fields, including policy, politics, education, and business, providing valuable insights into the adoption and spread of innovations. By understanding the key components of the theory, such as the factors influencing innovation success and the innovation life cycle represented by the "S-curve," organizations can better design, implement, and evaluate the introduction of new innovations. Additionally, the theory highlights the importance of different models of diffusion and innovation-decision processes, influenced by internal and external factors, in driving successful social innovation development.

What does the innovation diffusion theory emphasize?4 answersThe innovation diffusion theory emphasizes the spread of new ideas, processes, and technology through populations or systems. It focuses on factors influencing the success of innovations, such as the innovation's characteristics, its compatibility with existing systems, complexity, trialability, and observability of its effects. This theory provides valuable insights for implementing innovations in various fields, including health services, public policy, and education. By understanding the diffusion process through elements like innovation, time, social systems, and communication channels, researchers can identify key factors contributing to the success of an innovation. Overall, the diffusion of innovations theory serves as a crucial framework for conceiving, designing, implementing, and evaluating the introduction of new innovations across different contexts.

What are the main conclusions of the diffusion of innovation theory?5 answersThe main conclusions of the diffusion of innovation theory are that it can be applied to analyze the diffusion of various themes, not just the sale of products. The theory provides key determinants for innovation success and a model for understanding the life cycle of an innovation. It can be used to analyze the diffusion of smart contracts and identify factors that prevent their wide adoption. The theory also highlights the importance of organizational implementation of innovations, inter-organizational diffusion, and the agency of adopters in shaping the diffusion process. Additionally, the theory can be used to compare countries and identify the innovation coefficient, with China having the highest innovation coefficient among the BRICS countries and Japan among the OECD countries.

What are the developmental trends of the diffusion of innovation theory?5 answersThe developmental trends of the diffusion of innovation theory have been studied extensively. Previous research has focused on key elements, adopter categories, and the process of innovation diffusion. However, most of these studies have only considered single innovations. With the advancement of technology, recurrent innovations have gained popularity, leading to the need for a better understanding of their adoption behavior and characteristics. A large-scale analysis of the adoption of recurrent innovations in the context of mobile app updates has revealed new adopter categories and the features that impact the adoption process. Additionally, the theory of innovation diffusion has become more complex and multifaceted, with applications in various industries such as consumer durables, services, and pharmaceuticals. Literature analysis has been used to study the development of innovation diffusion theory, providing insights into the number of publications, core authors, and research directions.

What is Diffusion of Innovations Theory?5 answersThe Diffusion of Innovations Theory is a theoretical framework that explains how new ideas, concepts, technology, and practices spread through cultures or systems. It focuses on understanding the process, rate, and factors influencing the adoption and diffusion of innovations. The theory originated from various disciplines and has been applied across fields such as political science, public policy, education policymaking, and nursing and health research. The key components of the theory include determinants for innovation success and the "S-curve" representing the life cycle of an innovation. It provides valuable insights for conceiving, designing, implementing, and evaluating the introduction of innovations. The theory allows for the analysis of diffusion patterns, identification of contributing factors, and evaluation of communication channels and social systems in the diffusion process.

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