Relevant bibliographies by topics / Theory of diffusion of innovation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Theory of diffusion of innovation'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Theory of diffusion of innovation"

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Prescott, Mary B. "Diffusion of innovation theory." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 26, no. 2-3 (May 1995): 16–19. http://dx.doi.org/10.1145/217278.217283.

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Cherenkov, Vitaliy, Viktor Marianenko, and Natalia Cherenkova. "Some Issues of Developing the Theory of Innovation." Moscow University Economics Bulletin 2019, no. 1 (February 28, 2019): 3–29. http://dx.doi.org/10.38050/01300105201911.

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The paper considers some issues connected with developing the innovation theory in Russia and abroad drawing on Russian scientific literature and textbooks. It is revealed that while understanding the need for an innovative way for the development of national economy, Russia lacks a harmonious and conventional innovation theory. The paper presents a critique of theoretical positions of a number of Russian authors concerning classification and essence of innovation, the corresponding terminological paradigm alongside the main mechanisms of innovations diffusion. We provide a comparison and corresponding generalization of our approach to diffusion mechanisms with those of foreign scientists. We note that the insufficient preparedness of many researchers in contextual understanding of both foreign terms and some notions of political economy poses significant obstacles to the development of innovation theory in Russia. We finally offer some recommendations to improve the innovation theory in Russia.
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Enfield, Jacob, Rodney D. Myers, Miguel Lara, and Theodore W. Frick. "Innovation Diffusion." Simulation & Gaming 43, no. 2 (May 22, 2011): 188–214. http://dx.doi.org/10.1177/1046878111408024.

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Educators increasingly view the high level of engagement and experiential learning offered by games as a means to promote learning. However, as with any designed learning experience, player experiences should provide an accurate representation of content to be learned. In this study, the authors investigated the DIFFUSION SIMULATION GAME (DSG) to assess the consistency of strategies effective in the game with those implied to be effective by the diffusion of innovations theory on which the game is based. They analyzed records from 2,361 completed game sessions of the DSG and compared successful and unsuccessful strategies. They further compared successful gameplay strategies with strategies suggested by the diffusion of innovations theory. The data analysis indicated that four of the seven winning strategies were inconsistent with what the theory predicts. However, this conclusion is tentative, given limitations of temporal detail in available data. These limitations imply how data should be collected to better investigate strategies that result in successful DSG gameplay. In addition, the study provides a case in which objective methods were used to analyze patterns of gameplay and offers insight on how data should be collected to analyze patterns more effectively.
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Diakonova, Sofia, Stepan Artyshchenko, Daria Sysoeva, Igor Surovtsev, and Miron Karpovich. "On the application of the thermal conductivity equation to describe the diffusion process." E3S Web of Conferences 175 (2020): 05050. http://dx.doi.org/10.1051/e3sconf/202017505050.

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The paper addresses the very popular issue of diffusion of innovations. Diffusion of innovations is the last stage of the innovation process and an indicator of its success. The study of the diffusion of innovations and the application of heat conduction equations in this theory is related to the study of innovative characteristics and economic indicators that could improve the performance of enterprises, lead to profit growth and expand market coverage. The paper systematized the factors that influence the diffusion of innovations. With their help, it is possible to manage the process of diffusion of innovations in a specific market and in a certain period of time. The use of the theory and methods for solving the thermal conductivity equation allows obtaining a solution to the problem of the diffusion equation, finding the optimal parameters for creating an innovative product susceptibility on the market.
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Wonglimpiyarat, Jarunee, and Napaporn Yuberk. "In support of innovation management and Roger's Innovation Diffusion theory." Government Information Quarterly 22, no. 3 (January 2005): 411–22. http://dx.doi.org/10.1016/j.giq.2005.05.005.

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Bitat, Abdelfeteh. "Environmental Regulation and Eco-Innovation : Insights from Diffusion of Innovations Theory." المجلة المغاربية للاقتصاد و التسيير 3, no. 1 (2016): 112–29. http://dx.doi.org/10.12816/0032869.

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Rosana, Nurul, Nuddin Harahab, Gatot Ciptadi, and Andi Kurniawan. "Theoretical Study: The Diffusion of "Piknet" Innovation Sound Wave Attractor In Bulak District, Surabaya." Technium Social Sciences Journal 23 (September 9, 2021): 763–67. http://dx.doi.org/10.47577/tssj.v23i1.4535.

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Diffusion of innovation is a process which needed in an effort to adapt to an idea or technology so that a person or group of people can adopt a new subject through the stages set. The purpose of this research is to hope that the process of accepting the attractor based on the "Piknet" sound wave as an innovation can be studied based on the diffusion theory of innovation from Rogers. The method used in this research is a literature review which was carried out for 2 (two) months, in June and July 2021. The object of the writing is to deepen Rogers' theory of the diffusion of innovations that can be used as a basis for determining the stages of the wave-based attractor diffusion process. the sound of "Piknet" to groups of fishing fishermen in Bulak District, Surabaya. Rogers' innovation diffusion theory can be used as the basis for the diffusion process of "Piknet" sound wave-based attractor innovation in Bulak District, Surabaya, using elements and stages of the decision process that are adapted to the conditions of the local community.
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Tariq, Muhammad Farooq, Faizuniah Pangil, and Arfan Shahzad. "Diffusion of innovation theory: Beyond decision stage." International Journal of ADVANCED AND APPLIED SCIENCES 4, no. 5 (May 2017): 12–18. http://dx.doi.org/10.21833/ijaas.2017.05.002.

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Santacreu, Ana Maria. "Innovation, diffusion, and trade: Theory and measurement." Journal of Monetary Economics 75 (October 2015): 1–20. http://dx.doi.org/10.1016/j.jmoneco.2015.06.008.

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Gray, Kishonna L. "Diffusion of Innovation Theory and Xbox Live." Bulletin of Science, Technology & Society 32, no. 6 (December 2012): 463–70. http://dx.doi.org/10.1177/0270467612469076.

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Dissertations / Theses on the topic "Theory of diffusion of innovation"

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Gomes, Rafael, and Sema Seyfi Osman. "Managing Organizational Adoption of IoT : Revisiting Rogers' Diffusion of Innovation Theory." Thesis, Uppsala universitet, Industriell teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-398123.

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As a disruptive innovation, IoT has been creating a high impact over organizations’ current strategies and business models. This continuous process of change will have an increasing influence on how organizations and industries as a whole conduct their businesses, and is set to have an active role towards the development of entirely new business models and markets. With the development of IoT technologies, and its predicted exponential spread across all sectors of society, one can conclude that the future holds many opportunities for organizations looking to explore new ways of capturing and creating value, but at the same time there are also plenty of challenges to be addressed. While the diffusion and adoption process of IoT has been an ongoing phenomenon over the past decade, there is still not much certitude as to how organizations ought to adjust in order to successfully integrate IoT technologies in their structure and operations. In parallel fashion, there have also been many difficulties in ensuring that different smart, connected devices and ecosystems are able to effectively communicate between each other, as achieving interoperability has become one of the major concerns associated with IoT. The main focus of this study is to analyze the process of how organizations are currently integrating IoT within their businesses, while also investigating causes that hinder interoperability, and evaluating the future potential deployment of the Open IoT ecosystems in companies. For our research we have followed a case-study approach where we conducted semi-structured interviews with managers and project leaders from two organizations conducting pilot studies on Green IoT and Open IoT, and where one has been adopting IoT technologies in its business. Theoretically, we draw on a framework by combining Rogers’ Diffusion of Innovations theory and Christensen’s theory of Disruptive Innovations in order to analyze the integration of IoT into businesses’ core structure. The research goes through a functional framework that outlines the process of IoT adoption while also presenting the present challenges that are faced by the actors in the industry and the key enablers for successful IoT integration.
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Geana, Mugur Valentin. "Penetration of innovation taming the unexplored interactions between information, knowledge and persuasion in the innovation-decision model /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4388.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2006.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on July 18, 2008) Includes bibliographical references.
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Lewis, Gayle Arnn. "Leadership Products As Innovations In The Context Of Rogers' Diffusion Theory." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29839.

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In this study, two implementable leadership products were analogous to innovations, when framed in the context of Rogers’ diffusion-of-innovation theory. Thus, the products’ respective dissemination patterns were compared and contrasted-- quantitatively through purchase numbers, and qualitatively through opinions and events recollected by early users. The case-study approach was central to the investigation, and the results supported the Rogers model with regard to most constructs. The results pertaining to the S-shaped (sigmoidal) prototypical distribution curve, however, were enigmatic. The inverse conformity of sales figures with the S-shaped distribution curve implied that the dissemination process began during the field-testing stage rather than the purchasing stage. The organizational structure of the user institutions (targeted social system construct) conformed to Rogers’ theory that autonomy and teamwork characterized management climates where innovation tended to flourish. Field-testers and other early users were opinion leaders as construed by Rogers. The fact that twice as many field tests were conducted for the Case Studies as for the Simulation was likely a factor in the disparate 6:1 ratio of units of Cases sold to units of the Simulation sold for three consecutive years. Other factors possibly accounting for the disparate sales came from the attributes-of-innovation template which framed five generic attributes--compatibility, relative advantage, complexity, trialability, and observability. Both products conformed to the attributes as conceptualized by Rogers. The main difference that influenced the disparate sales was the greater complexity of the Simulation than of the Cases, although cost may have been a compatibility/relative advantage contributory factor. Finally, the study’s results indicated that dissemination parameters may have been narrowed by (a) the absence of mass media communication channels as part of the dissemination strategy at the awareness stage, and (b) lack of market research to focus the naming and packaging of the products for optimum compatibility and relative advantage. Researchers and change agencies can use these findings to improve future dissemination strategies and product designs.
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Gourlay, Adrian R. "The diffusion of process innovation in the UK financial sector : an empirical analysis of automated teller machine (ATM) diffusion." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/7082.

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Recent policy initiatives have identified that the diffusion of innovation constitutes an important component in technical change and progress and is the impetus behind changes in firm productivity. To date, however, the main emphasis of economists has been on the diffusion of process innovations in the industrial sector with diffusion in the financial sector either ignored or, at best, summarised by a number of stylised facts relating to the spread of information. The objective of this thesis is to explore the inter-firm determinants of ATM adoption and diffusion in the UK financial sector and identify firm-specific and market factors in the diffusion process. The empirical analysis draws on duration analysis which represents the current state-of-art modelling approach to inter-firm diffusion. This approach conceptualises inter-firm diffusion as a cross-section of durations of nonadoption from which, most importantly, hypothesised factors (or `covariates') can be examined by their significance or otherwise on the conditional probability of adoption. The main findings of this thesis support the stylised fact often made in the diffusion literature that the inter-firm diffusion curve is sigmoid and characterised by a nonmonotonic hazard function. Furthermore the empirical analysis supports the hypothesis that firm-specific characteristics and expectations have played a crucial role in the interfirm diffusion of ATMs. In addition, the results indicate that the diffusion of ATMs in the UK has been characterised by the existence of positive network externalities. The results are also shown to be robust across a number of model specifications and assumptions concerning the time-path of covariates.
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Rhodes, Richards Morse. "Analyzing digital television using the diffusion of innovation theory to better inform policy /." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0003281.

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Chen, Xin. "Adopting emerging integration technologies in organisations." Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/5159.

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A review of the innovation and diffusion literature indicates a considerable amount of research, where attention is given to a range of features which may support integration technologies adoption. However, some literature suggests that the findings derived from the study of large enterprises cannot be generalised and applied in SMEs due to the distinct characteristics of SMEs. Although the adoption of integration technologies is recognised as being different between large and small companies, the literature on its adoption by SMEs remains limited. Nevertheless, in existing work, there is a lack of studies emphasising the reasons why SMEs and large companies take the decision to adopt integration technologies, focusing specifically on the different factors. This thesis therefore identifies the significant differences in the way that SMEs and large companies approach integration technologies, based on the existing literature, theoretical diffusion theories, and resource-based theory. In doing so, the parameters that can be used to explain the adoption of integration technologies in SMEs and large firms are identified, as nature of organisations, company size, integration needs, adoption factors for SMEs and large organisations, and time. Additionally, adoption factors are found and classified into three categories: adoption factors explicit to SMEs, adoption factors explicit to large organisations, and common factors. Based on this, a conceptual model is introduced to explain the different factors that influence adoption between SMEs and large organisations. The empirical contexts of the research are one project on integration technologies adoption, and four case studies on a large firm and three SMEs, which are analysed using an interpretive and qualitative research approach. The evidence suggests that the empirical data complement the identified dimensions nature of organisations, integration needs, company size and time. The empirical data also confirm that the current integration technologies adoption factors reported in the literature can be classified into common factors, factors explicit to SMEs, and factors explicit to large firms, to support a more comprehensive view of this area. An additional factor perceived future prospect has been considered as an influence on adoption in large organisations. The findings of this research can be useful to guide analysts and researchers in determining critical aspects of the complex issues involved for integration technologies adoption, and lead to suggestions for further valid research.
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Hader, Khaled Farag Imhemed. "Influencing attitudes, changing behaviours and embedding a pro-sustainability mindset in the workplace : an innovation diffusion approach to persuasive communications." Thesis, University of Derby, 2018. http://hdl.handle.net/10545/622838.

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Although several sustainability implementation frameworks have been proposed, researchers have not yet proposed theories or models to help organisations speed up the rate of sustainability diffusion and narrow the gap between what is known and what is put into use. This study sought to fill this gap by proposing a sustainability diffusion model. The model was developed from an exhaustive review of the corresponding literature. It uses Rogers' (1962) diffusion of innovations theory and Ajzen's (1991) theory of planned behaviour as a theoretical foundation. The model was tested and its structural architecture was validated in three different sustainability contexts; namely, duplex printing in UK universities; sustainable computing in service-based businesses; and sustainability culture in UK universities. The primary data was analysed statistically using SPSS, and structural equation modelling (SEM) in particular was used to validate the structural architecture of the proposed model. The SEM results indicate that the structural architecture of the theory of planned behaviour is well-founded. All the hypotheses that underline the theory's paths were supported. In contrast, the structural architecture of the diffusion of innovations theory was weakly supported. Some of the paths were rejected in at least two occasions. For example, the relationship between pro-sustainability knowledge and attitude was neither statistically significant nor directional. Moreover, several components of the 'verified' model turned out to be statistically insignificant or were rejected altogether. These were knowledge, perceived self interest, perceived persuader legitimacy, perceived consequences, perceived argument quality, trialability and perceived source credibility. Accordingly, once these constructs were removed and the model was restructured in accordance with the results of SEM analysis, an entirely new version of the 'sustainability diffusion model' emerged (See Figure IX-2). The architecture of the new model suggests that in order to speed up the rate of sustainability diffusion, change agents must emphasise the relative advantage, compatibility, subjective norm and the urgency of the pro-sustainability initiative under implementation and de-emphasise any complexities or risks associated with its operationalisation. Unexpectedly, the new version of the proposed model relies more on Ajzen's (1991) theory of planned behaviour as a theoretical foundation than on Rogers' (1983) innovation-decision process model. In other words, the new model maintained almost all the features of the theory of planned behaviour, but it only absorbed some, but not all, of the components of Rogers' innovation-decision process model. Nevertheless, the new model maintained its holistic nature. It still takes into account both the person-specific and innovation-specific factors that influence the diffusion, adoption and actualisation of pro-sustainability behaviours/initiatives.
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Liu, Jing. "Online shopping diffusion in China : A study of factors that influence adoption." Thesis, KTH, Samhällsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120501.

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Guner, Mine Sule. "The Diffusion Of Financial Innovation In Turkey: The Case Of Atm." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606262/index.pdf.

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This study investigates the indicators of the number of ATMs (automated teller machines) in the provinces of Turkey by examining two banks: T.C. Ziraat Bankasi and T. iS Bankasi. The study depends on annual panel data from 1990 to 2004 for seventy-three provinces of Turkey. The information about the number of ATMs of the two banks is gathered after a study in the archives of the banks. In this study it is concluded that the number of ATMs of T. iS Bankasi and T. C. Ziraat Bankasi in the previous year and the total number of branches of the banks in Turkey are the indicators of ATM adoption for both of the banks concerned. However, population has a negative sign for T. C. Ziraat Bankasi which is a state bank whereas it has a positive sign for T. iS Bankasi which is a quasi-private bank. The findings also indicate that the ATM number of T. iS Bankasi is more sensitive to the number of total bank branches.
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Li, Dan. "The diffusion study on Chinese outbound tourism —Based on “diffusion of innovations” theory." Thesis, Umeå universitet, Kulturgeografi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105535.

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From 1983 in which year Chinese people started being allowed to travel to the first outbound destination to nowadays that more than 150 countries have signed the ADS (approved destination status) with Chinese government, Chinese outbound tourism had a great progress in 32 years. During these years, more and more Chinese tourists could be seen in different places in the world. In 2014, the number of Chinese outbound tourists firstly achieve to over 100 million. The numbers are predicted to continue by 2020. It is meaningful to put Chinese outbound tourism as an object and discover its future development. Therefore, the aim of this study is set as to analyse the future diffusion of Chinese outbound tourism. The available theoretical foundation is diffusion theory (Rogers, 2003). Its mature and practical theoretical system guides the research framework of this study. This theory is reliable for analysing and discussing the diffusion of Chinese outbound tourism from some aspects such as S-shaped curve, communication channels, adopter classification, etc.  A questionnaire survey and some hypothetical indicators are designed in this study to fulfil the aim and research questions. Results are described from several aspects. The analysis of results prove that Chinese outbound tourism could be reckoned as an innovation. Finally, conclusions show that Chinese outbound tourism is currently going through the developing process between ‘innovators’ and ‘early adopters’. If the influencing factors which derived based on diffusion theory could be developed or solved positively, it is possible for Chinese outbound tourism to develop continually following the S-shaped curve in the future. The influencing factors has been studied out. They are the communication channels, the conscious gap between people who live in cities and people who live in towns and villages, the wealth gap between rich people and poor people. Not many related implementations are given out in this study, which needs future researches to explore.
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Books on the topic "Theory of diffusion of innovation"

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Al-Hakim, Latif, and Chen Jin. Quality innovation: Knowledge, theory, and practices. Hershey, PA: Information Science Reference, an imprint of IGI Global, 2014.

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Stoneman, Paul. Technological diffusion: Theviewpoint of economic theory. Coventry: Department of Economics,University of Warwick, 1985.

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Stoneman, Paul. Technological diffusion: The viewpoint of economic theory. Coventry: University of Warwick Department of Economics, 1985.

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Actor-network theory and technology innovation: Advancements and new concepts. Hershey, PA: Information Science Reference, 2011.

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India, Export-Import Bank of. Innovation, imitation and North South trade: Economic theory and policy. [Mumbai]: Export-Import Bank of India, 2010.

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The dynamic analysis of innovation and diffusion: A study in process control. London: Pinter Publishers, 1989.

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Pain, James E. Diffusion theory and innovation adoption: A test of the role of `earlier adopters' in product success. Manchester: UMIST, 1998.

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Social influence on information and communication technology innovations. Hershey, PA: Information Science Reference, 2012.

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Applications of diffusion theory to cancer care in the United States, 1972-1981. New York: Garland Pub., 1989.

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Schoenfeld, Elinor Randi. Applications of diffusion theory to cancer care in the United States, 1972-1981. New York: Garland Pub., 1989.

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Book chapters on the topic "Theory of diffusion of innovation"

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Buchanan, Allen, Tony Cole, and Robert O. Keohane. "Justice in the Diffusion of Innovation." In Political Theory Without Borders, 133–61. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119110132.ch7.

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Abu-Khadra, Husam, and Khalifeh Ziadat. "ERP Diffusion and Assimilation Using IT-Innovation Framework." In Information Systems Theory, 159–84. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9707-4_10.

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Sonis, Michael. "Innovation Diffusion Theory: 100 Years of Development." In Advances in Spatial Science, 243–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00627-2_10.

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Bentley, Tom. "Innovation and Diffusion as a Theory of Change." In Second International Handbook of Educational Change, 29–46. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2660-6_2.

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Lyytinen, Kalle, and Jan Damsgaard. "What’s Wrong with the Diffusion of Innovation Theory?" In Diffusing Software Product and Process Innovations, 173–90. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35404-0_11.

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Kronenberg, Jakub, Tomasz Bergier, and Karolina Maliszewska. "The Challenge of Innovation Diffusion: Nature-Based Solutions in Poland." In Theory and Practice of Urban Sustainability Transitions, 291–305. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56091-5_17.

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von Westarp, Falk Graf. "Diffusion of Innovations and Network Effect Theory." In Modeling Software Markets, 91–113. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57377-4_5.

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Baskerville, Richard, Deborah Bunker, Johan Olaisen, Jan Pries-Heje, Tor J. Larsen, and E. Burton Swanson. "Diffusion and Innovation Theory: Past, Present, and Future Contributions to Academia and Practice." In Creating Value for All Through IT, 295–300. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43459-8_18.

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Watanabe, Yoshinori. "The potential of Soft CLIL in light of the diffusion of innovation theory." In Soft CLIL and English Language Teaching, 148–66. London: Routledge, 2021. http://dx.doi.org/10.4324/9780429032332-8-9.

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Leeuwis, Cees, and Noelle Aarts. "Rethinking Adoption and Diffusion as a Collective Social Process: Towards an Interactional Perspective." In The Innovation Revolution in Agriculture, 95–116. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50991-0_4.

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Abstract Agricultural development is looked at as a process in which the adoption of innovations plays an important role. In this context, there has been considerable interest in understanding how adoption processes work. This chapter starts from the observation that adoption has been conceptualised in most research and development efforts as a process at the level of individuals and/or individual households, resulting in the dominance of social-psychological modes of thinking. Drawing on case experiences and recent theories of innovation, this paper points towards the critical role that several types of interdependencies play in adoption processes, which leads to the conclusion that in many instances, adoption must be regarded as a collective rather than an individual process. It is therefore important to complement and re-orient our thinking about adoption and resort to more sociological and interactional concepts and explanations. After a discussion of relevant concepts, the chapter concludes with some reflection on how this perspective may inspire a different way of approaching two topical issues in the realm of agricultural innovation: scaling and ICT4Ag.
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Conference papers on the topic "Theory of diffusion of innovation"

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Xuetao Sun, Shixiang Huang, Xiaobao Peng, and Zhiyuan Wang. "The central china technical innovation research based on diffusion theory." In 2010 Second International Conference on Computational Intelligence and Natural Computing (CINC). IEEE, 2010. http://dx.doi.org/10.1109/cinc.2010.5643903.

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Pilkington, A. "Modelling the diffusion of innovation management theory using S-curves." In 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4738004.

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Nemutanzhela, Phathutshedzo, and Tiko Iyamu. "Theory of diffusion of innovation for analysis in information systems studies." In 2015 Science and Information Conference (SAI). IEEE, 2015. http://dx.doi.org/10.1109/sai.2015.7237205.

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Xinghui Wang and Xiangjun Qi. "The Strategic Study of IT Applicatio Based on Innovation Diffusion Theory." In 2010 Fourth International Conference on Genetic and Evolutionary Computing (ICGEC 2010). IEEE, 2010. http://dx.doi.org/10.1109/icgec.2010.142.

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Sang, Hui An, and Dwen-Ren Tsai. "Analyzing Strategies of Integrating ICT into Teaching Activities Using Innovation Diffusion Theory." In 2009 Fifth International Joint Conference on INC, IMS and IDC. IEEE, 2009. http://dx.doi.org/10.1109/ncm.2009.323.

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D Fruehauf, Justin, and Frederick Gregg Kohun. "Innovation Education and Diffusion in the United States: Using Literature Derived Knowledge Maps to Develop Research Methodology Strategy." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2244.

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The idea of innovation, while not new, has taken on a whole new meaning in the 21st century. With his introduction of the ideas of disruptive innovations in the 1990s, Clayton Christensen has quickly become a leader in the field of innovation education. Christensen expanded his theory to encompass not only industry, but also healthcare and education. It is in this field of education that much work remains. Christensen proposes that innovative thinking can be learned. Indeed and entire field of innovation education and innovation curriculum now exist in a few US universities. It is the intent of this study to examine to use of knowledge maps of the literature of innovation education, as defined by Christensen, to establish a research methodology of how innovation is taught in US education systems, specifically comparing vocational programs (machining), and graduate programs in business and engineering. Clayton Christensen, innovation education, vocational, curriculum
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Gandhi, Neha, Neha Gondwal, and Abhishek Tandon. "Reliability Modeling of OSS Systems based on Innovation-Diffusion Theory and Imperfect Debugging." In The First International Conference on Information Technology and Knowledge Management. PTI, 2018. http://dx.doi.org/10.15439/2017km48.

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Kapoor, Kawaljeet Kaur, Michael D. Williams, Yogesh K. Dwivedi, and Banita Lal. "An analysis of existing publications to explore the use of the diffusion of innovations theory and innovation attributes." In 2011 World Congress on Information and Communication Technologies (WICT). IEEE, 2011. http://dx.doi.org/10.1109/wict.2011.6141249.

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Cirus, Lukas, and Ivana Simonova. "Rogers' Diffusion of Innovation Theory Applied on Primary Education: Case Study of Czech Teachers." In 2020 International Symposium on Educational Technology (ISET). IEEE, 2020. http://dx.doi.org/10.1109/iset49818.2020.00017.

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Liu, Xing-feng, Tao Jiang, and Tian-song Zhou. "Research on the optimal path of product innovation diffusion model based on game theory." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930447.

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Reports on the topic "Theory of diffusion of innovation"

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Santacreu, Ana Maria. Innovation, Diffusion, and Trade: Theory and Measurement. Federal Reserve Bank of St. Louis, 2014. http://dx.doi.org/10.20955/wp.2014.042.

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Benhabib, Jess, Jesse Perla, and Christopher Tonetti. Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23095.

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Titus, Michael S. U.S. Government Initiatives in Afghanistan: An Application of Diffusion of Innovations Theory. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada567669.

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Hall, Bronwyn. Innovation and Diffusion. Cambridge, MA: National Bureau of Economic Research, January 2004. http://dx.doi.org/10.3386/w10212.

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Eaton, Jonathan, and Samuel Kortum. Innovation, Diffusion, and Trade. Cambridge, MA: National Bureau of Economic Research, July 2006. http://dx.doi.org/10.3386/w12385.

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Lind, Nelson, and Natalia Ramondo. Innovation, Knowledge Diffusion, and Globalization. Cambridge, MA: National Bureau of Economic Research, September 2018. http://dx.doi.org/10.3386/w25071.

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Hamilton, Barton, Andrés Hincapié, Robert Miller, and Nicholas Papageorge. Innovation and Diffusion of Medical Treatment. Cambridge, MA: National Bureau of Economic Research, May 2018. http://dx.doi.org/10.3386/w24577.

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Rabolt, Nancy J., and Eliana Husari. Mobile Apparel Shopping: Application to Innovation Theory. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-523.

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Grossman, Gene, and Elhanan Helpman. Endogenous Innovation in the Theory of Growth. Cambridge, MA: National Bureau of Economic Research, November 1993. http://dx.doi.org/10.3386/w4527.

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Santacreu, Ana Maria, Nan Li, and Jie (April) Cai. Knowledge Diffusion, Trade and Innovation across Countries and Sectors. Federal Reserve Bank of St. Louis, 2017. http://dx.doi.org/10.20955/wp.2017.029.

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