What is the concern of Diffusion of innovation in journalism?
Best insight from top research papers
The concern of diffusion of innovation in journalism lies in establishing a quantitative, empirically-based theory of social change through the adoption of new cultural traits, such as the major mass media, into society . This involves clarifying key concepts in diffusion studies and linking them to broader sociological theory, aiming to develop a systematic approach to social change via the quantitative study of diffusion and related phenomena . Additionally, the establishment of diffusion agencies plays a crucial role in making innovations available to the population, with two types of diffusion agency location processes identified: mononuclear and polynuclear cases . Understanding the diffusion patterns within and across countries, including regional variations, is essential for effective forecasting and policy-making in journalism and other fields .
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
| The concern of Diffusion of Innovation in journalism is to establish a quantitative theory of social change by standardizing terminology and linking diffusion concepts to broader sociological theory. | |
| Not addressed in the paper. | |
| Not addressed in the paper. | |
| Not addressed in the paper. | |
| Not addressed in the paper. |
Related Questions
What are the limitations of the diffusion of innovation theory?5 answersThe diffusion of innovation theory, while widely applied, has some limitations. One key limitation is its focus on the adoption decision, neglecting other aspects of the diffusion process. Additionally, the theory tends to exhibit a 'pro-innovation' and 'individual blame' bias, overlooking societal, cultural, and external factors influencing behavior change. Furthermore, the traditional perspective of the theory, as proposed by Everett M. Rogers, may not fully capture the diverse innovation and diffusion phenomena among individuals, networks, organizations, and societal actors. These limitations highlight the need for a more comprehensive approach that considers broader contextual influences and a deeper understanding of the diffusion process beyond mere adoption decisions.
Diffusion of innovation affect educational technolpgy adoption?10 answersThe diffusion of innovation significantly influences the adoption of educational technology, as evidenced by various research findings. The process of adopting new technologies in education is complex and multifaceted, involving cognitive, emotional, and contextual concerns that shape individuals' perceptions and decisions regarding technology adoption. Educational institutions often face challenges in implementing new practices due to the need for a change in perceptions about the value of an innovation, which is influenced by communication within the social system of the organization. This is further complicated in the health education sector, where the adoption of new practices among health professionals is crucial for applying scientific advances to the community.
Research has shown that evidence-based practice (EBP) adoption in healthcare education is positively related to individual innovation, knowledge, attitude, and age, indicating that these factors play a significant role in the adoption process. Similarly, in the context of higher education, factors such as cultural compatibility, complexity, and relative advantage affect the decisions regarding the adoption of in-class electronic response systems, highlighting the importance of addressing these issues to facilitate adoption. The use of information and communication technology (ICT) in distance learning, exemplified by the University of South Africa's myUnisa platform, demonstrates that complexity does not significantly impact students' decisions to use educational technology.
Open source learning platforms (OSLPs) have become a dominant part of modern education, yet their adoption and diffusion are affected by factors such as trialability, observability, ease of use, and relative advantage. The spatial diffusion of new product or technical innovation, including educational technology, is influenced by potential interactions with current adopters and other intrinsic effects. The adoption process of learning management systems (LMS) at higher education institutes also underscores the role of social capital and the importance of understanding stakeholders involved in the adoption process. Finally, the spread of instructional innovations among faculty members in medical schools highlights the significance of communication with colleagues about the instructional process. Collectively, these studies underscore the multifaceted nature of educational technology adoption and the critical role of diffusion of innovation in this process.
What is diffusion of innovation theory?4 answersDiffusion of Innovation theory is a theory that explains how new ideas, concepts, technology, and practices spread through cultures or systems. It focuses on understanding the process of adoption and diffusion of innovations within a population or community. The theory identifies key factors that determine the success of an innovation, such as the characteristics of the innovation itself, the time it takes for the innovation to be adopted, the social systems in which the innovation is introduced, and the communication channels used to spread the innovation. The theory has been applied in various fields, including political science, public policy, education policymaking, nursing, and health. It provides a framework for conceiving, designing, implementing, and evaluating innovations, and enables the identification of contributing factors for the success of an innovation.
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 is the Diffusion of innovation theory?5 answersThe Diffusion of Innovation theory explains how new ideas, concepts, technology, and practices spread through cultures or systems. It focuses on understanding why and how innovations are adopted by individuals or groups. The theory originated from various disciplines and has been applied across fields such as political science, public policy, and education policymaking. The theory identifies key factors for innovation success and describes the life cycle of an innovation using the "S-curve". It provides valuable insights for implementing and evaluating innovations, enabling the analysis of diffusion at both the individual and country level. The theory has been extended beyond the sale of products to analyze the diffusion of thematic innovations, such as deep learning, using methods like clustering and the Bass diffusion model. Overall, the Diffusion of Innovation theory offers a framework for understanding and predicting the spread of innovations in various contexts.
What is "Diffusion of Innovations" theory?5 answersThe "Diffusion of Innovations" theory explains how new ideas, concepts, technology, and practices spread through cultures or systems. It focuses on understanding why and how innovations are adopted and at what rate they spread. The theory has been applied to various fields, including policy and politics, education policymaking, and the adoption of Building Information Modeling (BIM) technology. The theory assumes that the adoption process can be linear or dynamic and non-linear, depending on the nature of the innovation. Different models, such as the Bass diffusion model and the Actor-Network Theory (ANT), have been used to analyze the diffusion of innovations. The theory provides valuable insights for understanding the factors that contribute to the success of innovation implementation and the life cycle of innovations.