Relevant bibliographies by topics / Diffusion of innovation theory

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Diffusion of innovation theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 June 2025

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Journal articles on the topic "Diffusion of innovation theory"

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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 (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 (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 (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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Dingman, Deirdre, and Sarah Bauerle Bass. "How the Coronavirus Inspired Teaching the Diffusion of Innovation Theory." CommonHealth 2, no. 2 (2021): 40–46. http://dx.doi.org/10.15367/ch.v2i2.451.

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Many public health courses include content on behavior change theories, including the Diffusion of Innovation Theory (DoI). In DoI, innovations are adopted based on 5 characteristics: the innovation's relative advantage of what came before, its compatibility with a person or group's culture, the complexity of the innovation, whether the innovation can be tried before fully adopted, and whether or not the effects of adopting this innovation can be observed in others. This paper describes the application of the public health response to COVID-19 in the US as a dynamic example with which to teach DoI theory in the context of an undergraduate program planning and evaluation class. Because students were forced into an online environment when essential businesses closed in an effort to ‘flatten’ the coronavirus curve, we describe the unique way the outbreak could be used in an organic online discussion in which students could use their own current experiences to extrapolate to the DoI constructs. While not done as a formal "lesson plan", we describe the students' engagement, provide commentary of their application of DoI to the COVID-19 response, and suggest how more formal exercises could be incorporated into undergraduate public health curriculum.
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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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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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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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Wonglimpiyarat, Jarunee, and Napaporn Yuberk. "In support of innovation management and Roger's Innovation Diffusion theory." Government Information Quarterly 22, no. 3 (2005): 411–22. http://dx.doi.org/10.1016/j.giq.2005.05.005.

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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 (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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Dissertations / Theses on the topic "Diffusion of innovation theory"

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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.<br>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.<br>Ph. D.
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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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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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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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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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England, Ian William. "Innovation diffusion in state owned health: a study of IT adoption." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/15982/1/Ian_England_Thesis.pdf.

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The health industry has acquired a reputation as lagging in the use of information technology (IT). Therefore, this study has been undertaken to assess state health's use of IT and then to assess the causal factors of the differing usage rate, if any. The state health industry was compared to the banking industry as a benchmark, on the basis that the banking industry is widely perceived as a leading IT user. A literature review summarised and critiqued current literature and informed the subsequent research. The research comprised two related studies. The first study was a qualitative study of the beliefs of senior state health executives. The second study was based upon a survey of state health and banking managers. The research confirmed that in these two 'knowledge' industries, state health is slower to adopt IT with an apparent lower maturity level. This finding was observed across a range of best-practice management, procedural and cultural topics as well as the level of resources applied to IT. Innovation-diffusion-theory helped understand why IT implementation has progressed at a slower rate in state health than other industry sectors. The complexity of state health organisations and their fragmented internal structure constrain their ability to adopt traditional, hierarchical, organisation-wide IT. This is further impacted upon by the relative immaturity of clinical health IT, which is complicated, incomplete and unable to show quantifiable benefits. In addition, elements of the findings suggest that health IT departments are poorly aligned to the needs of clinicians and managers. Both organisational and technological factors lead to the slow adoption of health IT, although measures suggest that the key factors relate to the unique organisational nature of state health. The recommendations for health and IT policy arising from this research are: * The effectiveness of state health IT departments needs comparing to those in other sectors and improvement interventions implemented; * The strongest way for state health IT to proceed is to focus on management and social issues in preference to the ever-seductive technology. Research and development funds should be allocated, as a priority, to benefits-analysis methods, improved understanding of the true nature of health organisations (formal and informal) and a rich understanding of clinical behaviours and work. Deeper knowledge in all of these areas will permit the development of more relevant IT leading to greater value, more focussed implementation and new areas for business development in the IT industry.
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Books on the topic "Diffusion of innovation theory"

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

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

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

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

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

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

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Andrew, McMeekin, ed. Innovation by demand: An interdisciplinary approach to the study of demand and its role in innovation. Manchester University Press, 2002.

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

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

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

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Book chapters on the topic "Diffusion of innovation theory"

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Yu, Ping. "Diffusion of Innovation theory." In Implementation Science. Routledge, 2022. http://dx.doi.org/10.4324/9781003109945-16.

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

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DeFleur, Melvin L., and Margaret H. DeFleur. "Media-Influenced Diffusion of Innovation Theory." In Mass Communication Theories, 2nd ed. Routledge, 2022. http://dx.doi.org/10.4324/9781003083467-24.

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Abu-Khadra, Husam, and Khalifeh Ziadat. "ERP Diffusion and Assimilation Using IT-Innovation Framework." In Information Systems Theory. 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. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00627-2_10.

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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. Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35404-0_11.

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

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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. 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. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57377-4_5.

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Jinji, Naoto, Xingyuan Zhang, and Shoji Haruna. "Trade Patterns and International Technology Spillovers: Theory and Evidence from Japanese and European Patent Citations." In Advances in Japanese Business and Economics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5210-3_5.

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AbstractInternational diffusion of knowledge is important to both the speed of the world’s technology frontier expansion and income convergence across countries. For example, Eaton and Kortum (1996) estimate innovation and technology diffusion among 19 Organization for Economic Co-operation and Development (OECD) countries to test predictions from a quality ladders model of endogenous growth with patenting.
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Conference papers on the topic "Diffusion of innovation theory"

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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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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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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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Reports on the topic "Diffusion of innovation theory"

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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. National Bureau of Economic Research, 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. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada567669.

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Zilberman, David, Amir Heiman, and B. McWilliams. Economics of Marketing and Diffusion of Agricultural Inputs. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586469.bard.

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Specific Research Objective. Develop a theory of technology adoption to analyze the role of promotional tools such as advertising, product sampling, demonstrations, money back guarantees and warranties in inducing technological change. Use this theory to develop criteria for assessing the optimal use of marketing activities in launching new agricultural input technologies. Apply the model to analyze existing patterns of marketing budget allocation among promotional tools for various agricultural input industries in the United States and Israel. Background to the Topic. Marketing tools (money-back guarantees [MBG] demonstration, free sampling and advertising) are used extensively to induce the adoption of agricultural inputs, but there is little understanding of their impacts on the diffusion of new technologies. The agricultural economic literature on technology adoption ignores marketing efforts by the private sector, which may result in misleading extension and technology transfer policies. There is a need to integrate marketing and economic approaches in analyzing technology adoption, especially in the area of agricultural inputs. Major Conclusion. Marketing tools play an important role in reducing uncertainties about product performance. They assist potential buyers to learn both about objective features, about a product, and about product fit to the buyer's need. Tools, such as MBGs and demonstration, provide different information about product fit but also require different degrees of cost for the consumer. In some situations they can be complimentary and optimal strategy combines the use of both. In other situations there will be substitution. Sampling is used to reduce the uncertainty about non-durable goods. An optimal level of informational tools declines throughout the life of a product but stays positive at a steady state. Implications. Recognizing the heterogeneity of consumers and the sources of their uncertainty about new technologies is crucial to develop a marketing strategy that will enhance the adoption of innovation. When fit uncertainty is high, allowing an MBG option, as well as a demonstration, may be an optimal strategy to enhance adoption.
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Hall, Bronwyn. Innovation and Diffusion. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10212.

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

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

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Lind, Nelson, and Natalia Ramondo. Global Innovation and Knowledge Diffusion. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w29629.

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Hamilton, Barton, Andrés Hincapié, Robert Miller, and Nicholas Papageorge. Innovation and Diffusion of Medical Treatment. National Bureau of Economic Research, 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. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-523.

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