Relevant bibliographies by topics / Diffusion innovations

Academic literature on the topic 'Diffusion innovations'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Diffusion innovations"

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Dhar, Joydip, Mani Tyagi, and Poonam Sinha. "Three simultaneous innovations interrelationships: An adopter dynamics model." International Journal of Modeling, Simulation, and Scientific Computing 06, no. 03 (September 2015): 1550031. http://dx.doi.org/10.1142/s1793962315500312.

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In this paper, we develop a conceptual framework of a innovation diffusion dynamics model in which multiple parallel innovations are effecting each other during the diffusion process. A mathematical model is proposed to explore the interaction and diffusion of three innovations simultaneously available in market. The stability analysis is carried out for various types of diffusions on such system both analytically and numerically. It is observed that the association between innovations in product market could be complementary, substitute, independent or competitive. The co-existence and extinction of innovation depends on the level of diffusion between the innovations and it may or may not be sensitive to initial distribution of innovations.
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KIM, MOON-SOO, and HO KIM. "INNOVATION DIFFUSION OF TELECOMMUNICATIONS: GENERAL PATTERNS, DIFFUSION CLUSTERS AND DIFFERENCES BY TECHNOLOGICAL ATTRIBUTE." International Journal of Innovation Management 08, no. 02 (June 2004): 223–41. http://dx.doi.org/10.1142/s136391960400099x.

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We investigated the patterns of the technological diffusions of 17 Korean information and telecommunications (IT) innovations by applying various diffusion models, where the Bass model was chosen the most robust one. Although the internal influence dominates diffusion process for most innovations, the external influence was found to be meaningful to Korean IT diffusion compared with US's. Based on estimated parameters — penetration rate, innovation and imitation coefficients, we conducted cluster analysis, which resulted in four clusters and two isolated innovations. Differences of diffusion patterns between circuit-based and packet-based technology were examined by the external and internal influence as well as the critical mass point. Based on these findings we proposed the several practical implications for ISPs providing packet-based services, Telecommunications carriers with circuit and packet-based services, as well as policy makers.
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Long, Thomas B., Vincent Blok, and Kim Poldner. "Business models for maximising the diffusion of technological innovations for climate-smart agriculture." International Food and Agribusiness Management Review 20, no. 1 (February 7, 2017): 5–23. http://dx.doi.org/10.22434/ifamr2016.0081.

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Technological innovations will play a prominent role in the transition to climate-smart agriculture (CSA). However, CSA technological innovation diffusion is subject to socio-economic barriers. The success of innovations is partly dependent on the business models that are used to diffuse them. Within the context of innovations for CSA, the role that innovation providers’ business models play in the successful adoption and diffusion has received limited attention. In this paper we identify critical issues for business models for CSA technological innovations (BMfCSATI). Our results indicate that current BMfCSATIs are not optimised for diffusing CSA technological innovations. Critical business model elements include the value proposition, channels, customer relationships, key resources, key partners, and cost structure. We find a disparity between the views of CSA technological innovation providers and potential users. The paper explores the implications of the results and develops recommendations for CSA technological innovation providers’ business models.
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GOLUBEV, A. V. "OBOLESCENCE AND THE DIFFUSION OF INNOVATIONS." Izvestiâ Timirâzevskoj selʹskohozâjstvennoj akademii, no. 5 (2020): 113–30. http://dx.doi.org/10.26897/0021-342x-2020-4-113-130.

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The diffusion of innovations is described as a process in a number of scientific papers. At the same time, the causes of this process have not been sufficiently studied. The author’s goal is to consider the main regularities, under which the life cycle of innovations begins, and propose measures to enhance diffusion in modern conditions. As a scientific hypothesis, the author accepts the postulate about the primary role of the obolescence of attracted innovations in this process. The analysis revealed not only the economic proportions that initiate the start of innovation promotion, but also the influence on the diffusion rate of the obsolescence degree of innovations and the market share occupied by the new product. Methodological approaches have been developed to determine economic efficiency depending on the moment of technological change-over, as well as to determine the absolute and relative speed of innovation diffusion. Sociological studies were conducted to determine the state of innovation development and the time lag between obtaining information about an innovation and its practical implementation. The author presents his “Agroopyt” information system developed to disseminate knowledge in the agricultural sphere and ensure technology transfer in agriculture. Digital methods provide for significant accelerateion of the diffusion of innovations and expand its scope.
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Kim, Namwoon, and Jae H. Pae. "Does intra-firm diffusion of innovation lead to inter-firm relationship benefits? The cases of innovation providers and adopters." Journal of Business & Industrial Marketing 29, no. 6 (June 30, 2014): 514–24. http://dx.doi.org/10.1108/jbim-03-2012-0053.

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Purpose – This study aims to fill the void of previous research in organizational innovation. The understanding of the factors that affect intra-firm diffusion of innovations, which include the proactive management support and participation comprehensiveness from the adopting firm, as well as the provider’s support of innovation utilization has been advanced. In addition, the extent to which the consequent intra-firm diffusion affects both the adopter’s and provider’s benefits has been explored based on their relationship. Design/methodology/approach – A mail questionnaire on the organizational purchase and utilization of customer relationship management (CRM)-type database systems was developed for collecting data. A random sample of 480 firms from the Hong Kong Chambers of Commerce Directory was obtained. From the initial phone calls, 343 firms currently using a CRM-type database system were identified, and the questionnaires were mailed to the managers of these firms. In total, 163 responses were finally returned with usable data, for a response rate of 47.5 per cent. Findings – The current study focuses on the causes and the effects associated with successful diffusion and utilization of innovation within a firm. Using data from business-to-business markets, the results find that the two parties involved benefit when both proactively participate in the intra-firm diffusion process; that is, benefits are created for the adopter via improvement in efficiency; and for the provider via establishment of a long-term relationship and switching costs. Research limitations/implications – First, any moderating impact of the adopting firm’s technological capabilities was not analyzed. Second, the research results were obtained from a sample of software product innovations (especially database management system). Even though it could be assumed that these results can also be applicable to other types of innovations (e.g. process innovations), empirical tests of our framework based on different innovation typologies are still warranted. Practical implications – First, for an innovation-adopting firm, we have shown that a wide use of purchased innovations among the organizational members is at least as important as the adoption of new innovations. Second, we have included the participation comprehensiveness of adoption decision, arguing that the organizational decision-making process is also crucial to stimulating intra-firm diffusion. Finally, and more importantly, our study calls attention to the provider’s role in expediting intra-firm diffusion. Originality/value – First, we have suggested an analytic framework for intra-firm diffusion of an innovation and also provided its empirical support. Particularly, the current study has focused on the subsequent effects of intra-firm diffusion on both the adopter’s and the provider’s benefits. Second, we have examined further impact of the comprehensive participation of adoption decision on spreading innovation information, which subsequently stimulates the innovation’s intra-firm diffusion.
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Mack, Pamela, and Everett M. Rogers. "Diffusion of Innovations." Technology and Culture 26, no. 1 (January 1985): 109. http://dx.doi.org/10.2307/3104547.

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Valente, Thomas W. "Diffusion of innovations." Genetics in Medicine 5, no. 2 (March 2003): 69. http://dx.doi.org/10.1097/01.gim.0000061743.67794.c4.

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Lockyer, Jocelyn. "Diffusion of innovations." Journal of Continuing Education in the Health Professions 17, no. 1 (1997): 62–64. http://dx.doi.org/10.1002/chp.4750170109.

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Fichter, Klaus, and Jens Clausen. "Diffusion Dynamics of Sustainable Innovation - Insights on Diffusion Patterns Based on the Analysis of 100 Sustainable Product and Service Innovations." Journal of Innovation Management 4, no. 2 (August 9, 2016): 30–67. http://dx.doi.org/10.24840/2183-0606_004.002_0004.

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There is a growing consensus about the urgent necessity to green the economy and to decouple economic growth from environmental pressure. Against this background, the article explores three questions: (1) What are key factors influencing diffusion dynamics of sustainable product and service innovations? (2) To what extent do diffusion processes of sustainable product and service innovations differ from each other, and can different groups of diffusion processes be identified? (3) Which factors, actors, and institutional settings are characteristic of different groups of diffusion processes? While diffusion research on sustainable innovation so far has been limited to case studies with just one or a small number of cases or has been focused on individual sectors, the empirical data presented here cover a large number of cases from a broad variety of product fields. This allows for generalizations as well as relevant insights and conclusions for sustainability, environmental and innovation policies. The empirical investigation of 100 sustainable product and service innovations revealed that diffusion processes of sustainable innovations differ substantially: The cluster analysis showed that five groups of sustainable innovations can be differentiated which differ significantly in terms of the factors influencing the diffusion process. The empirical results thus both support the assumption that different types of diffusion paths do in fact exist and also permit characterization of the various types of diffusion paths. The evolutionary concept of diffusion paths develops significant explanatory power on the basis of which faster or slower cases of diffusion and the success or failure of sustainable innovations can be better understood.
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Nikishyn, Yevhen. "ASPECTS OF THE DIFFUSION THEORY OF INNOVATIONS AND LOGISTISATION OF AGRICULTURAL INDUSTRY OF UKRAINE." Economic Analysis, no. 28(2) (2018): 49–56. http://dx.doi.org/10.35774/econa2018.02.049.

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The article is devoted to theoretical aspects of diffusion of innovations, as the conditions of logistics of the agro industrial complex of Ukraine. The concept of innovation-economic niche as a separate system with the potential of making innovations, the development of which creates competitive advantages, is formulated. New types of diffusion are classified on the basis of decision-making mechanisms by innovators. The diffusion models are considered, the descriptions of specific features of the behaviour of the dissemination of innovations in the reaction-diffusion structure are studied and made taking into account the system-regulatory factors. The principle of informational conditionality of economic phenomena as the basis of distribution of diffusion is formulated. The existence of a cascade effect in the diffusion of basic innovations has been determined; the necessity of the accompanying innovations has been substantiated. The causal relationship between the influence of system-regulatory factors on diffusion, the emergence of a cascade effect, the formation of clusters of innovations and the general influence on the Kondratiev cycles have been investigated.
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Dissertations / Theses on the topic "Diffusion innovations"

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Bellanca, Raffaella. "Diffusion of innovations : reforestation in Haiti." Thesis, Malmö högskola, Institutionen för konst, kultur och kommunikation (K3), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22538.

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Development discourse emerged from the implicit assumption that the technological achievements and societal organizations of western civilization represent successes of humankind in inhabiting the planet, and should therefore be promoted among other cultures. The ecological threats of this time suggest the contrary, forcing us to reconsider the positiveness of over exploitations of natural resources and to recognize the paradox of the economical growth model. A new urgent meaning for development is that of rediscussing what characterizes an ideal society and enabling the transformation toward sustainability and justice. Among the many challenges that the planet is facing deforestation well represents the reach of the problems since it affects humans at several levels: from the smallest scale of family economy with the products they can directly offer; to the national size through the effect they have on the environmental conditions of countries; and to the global level for the influence over the planet’s climate. In this era of tremendous transformations, demanding the reduction of consumptions for developed countries and appropriate planning of future consumption for developing ones, communication plays a central role. Exchange of information without preferential directions and between different levels (global-local, local-local) is at the base of this process. This study analyses the communication dynamics of a reforestation campaign in Haiti operated by the NGO AMURT. Assuming that the idea of planting trees rather then cutting them can be seen as an innovation, I adopted as a theoretical framework the findings of “Diffusion of Innovation” research. In particular I used the field work to critically assess some of the diffusion model’s findings, especially concerning the characterization of early adopters which I perceived as pro-innovation biased.An analysis of the NGO communication strategy according to diffusion of innovation parameters revealed several positive points, such as the use of homophile change agents, the adaptation of messages to the audience and the characterization of the meaning of the innovation from a receiver’s perspective. Nevertheless, the most important reasons for the success of the program rather seemed to sit in the NGO approach: the relationship of trust, the stability of its presence in the area and the intimate contact and cooperation with the local social structures.
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Philippe, Luc. "Imitation et diffusion internationale des innovations." Lille 3 : ANRT, 1985. http://catalogue.bnf.fr/ark:/12148/cb375943434.

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Quélin, Bertrand V. "Changement technologique et diffusion des innovations." Grenoble 2 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb37617762r.

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Ransbotham, Samuel B. III. "Acquisition and diffusion of technology innovation." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28094.

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In the first essay, I examine value created through external acquisition of nascent technology innovation. External acquisition of new technology is a growing trend in the innovation process, particularly in high technology industries, as firms complement internal efforts with aggressive acquisition programs. Yet, despite its importance, there is little empirical research on the timing of acquisition decisions in high technology environments. I examine the impact of target age on value created for the buyer. Applying an event study methodology to technology acquisitions in the telecommunications industry from 1995 to 2001, empirical evidence supports acquiring early in the face of uncertainty. The equity markets reward the acquisition of younger companies. In sharp contrast to the first essay, the second essay examines the diffusion of negative innovations. While destruction can be creative, certainly not all destruction is creative. Some is just destruction. I examine two fundamentally different paths to information security compromise an opportunistic path and a deliberate path. Through a grounded approach using interviews, observations, and secondary data, I advance a model of the information security compromise process. Using one year of alert data from intrusion detection devices, empirical analysis provides evidence that these paths follow two distinct, but interrelated diffusion patterns. Although distinct, I find empirical evidence that these paths both converge and escalate. Beyond the specific findings in the Internet security context, the study leads to a richer understanding of the diffusion of negative technological innovation. In the third essay, I build on the second essay by examining the effectiveness of reward-based mechanisms in restricting the diffusion of negative innovations. Concerns have been raised that reward-based private infomediaries introduce information leakage which decreases social welfare. Using two years of alert data, I find evidence of their effectiveness despite any leakage which may be occurring. While reward-based disclosures are just as likely to be exploited as non-reward-baed disclosures, exploits from reward-based disclosures are less likely to occur in the first week after disclosure. Further the overall volume of alerts is reduced. This research helps determine the effectiveness of reward mechanisms and provides guidance for security policy makers.
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Halila, Fawzi. "The adoption and diffusion of environmental innovations." Doctoral thesis, Luleå : Luleå, Department of Buisness Administration and Social Sciences, Division of Industrial Management, Luleå University of Technology, 2007. http://epubl.luth.se/1402-1544/2007/42.

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Islam, Towhidul. "Modelling and forecasting the diffusion of innovations." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362879.

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Undrum, Michael, and Andreas Ebbesen. "Diffusion of Process Innovations in Public Hospitals." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26165.

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Norwegian hospitals are challenged by demographic changes, an increasingly complex clinical picture and longer waiting lines. At the same time hospitals struggle with adopting process innovations aiming at improving efficiency and productivity at a satisfactory rate. This study is a specific contribution to an increased understanding of the diffusion of process innovations in public health care. The first question answered by this study is related to which specific determinants that affect the diffusion and adoption of process innovations in Norwegian, public hospitals. The second question considers how the efforts of process improvements observed in Norwegian hospitals relate to the innovation-decision model by E. Rogers (2003). To answer these questions a case study research was selected and 15 interviews with six unique case hospitals and three independent specialists were conducted. This provided the data needed to identify both the relevant determinants and new insight in the efforts for process improvement in Norwegian hospitals.This study has four main contributions to theory. First, the five most relevant determinants for the diffusion of process innovations were found to be reinforcement by management, meaning, professionalism, collective action, and experimentation. Second, the findings suggest that interconnectedness of determinants plays an important role for process innovations. Third, the identification of three phases in the process improvement in hospitals resulted in a proposed modification to the innovation-decision model. Fourth, the framework of determinants applied to the phases of process improvement yielded insight in the different determinants affecting each of the identified phases. Implications for managers are a need for increased understanding of how the local process is affected by various elements depending on the phase of a project and increased understanding of the importance of reinforcement by management in facilitating process innovation. Implications for policymakers are that the diffusion of process innovations involves high degrees of inspiration and adaptation, making it hard to facilitate the diffusion of a particular innovation and that the direct influence of policymakers seems to be low despite their given mandate to facilitate development.
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Ramírez, Alejandro 1970. "Diffusion of residential construction innovations in Colombia." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50016.

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Gwayi, Simeon Mackson. "Perceptions of Innovations as Predictors of TALULAR Implementation Levels among Secondary School Science Teachers in Malawi: A Diffusion of Innovations Perspective." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26698.

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The ever increasing enrollment numbers and the corresponding dwindling educational resources in public schools have challenged the Ministry of Education in Malawi to introduce an instructional innovation (TALULAR) based on the use of locally available resources for teaching and learning. The purpose of this study was to determine: (i) whether, and to what extent, the perceived characteristics of innovations and teachersâ demographic and employment variables are useful in predicting the implementation of TALULAR, and (ii) the extent to which TALULAR has been implemented by secondary school science teachers in Malawi. Rogersâ (2003) diffusion of innovations theory provided the theoretical framework for the study. Using stratified random sampling, 269 science teachers, representing a response rate of 77%, provided data for this study. Among other findings, multiple regression analysis revealed that collectively, the perceived innovation characteristics are significant predictors of TALULAR implementation. The results further revealed that perceived relative advantage and perceived observability in terms of othersâ use are the two most important predictors of TALULAR implementation, and that implementation of the innovation by science teachers is at a moderate level. These findings might contribute to a deeper understanding of science teachersâ perceptions of using the innovation and may aid change agents and agencies in planning a successful nation-wide diffusion campaign to ensure that all teachers not only adopt, but more importantly, implement the innovation in the classroom.
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Quélin, Bertrand. "Changement technologique et diffusion des innovations : analyse du processus de diffusion de l'électronique et de l'informatique." Paris 13, 1988. http://www.theses.fr/1988PA131004.

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La these analyse sur le plan theorique, les mecanismes de diffusion du progres technique et de l'innovation dans les societes industrielles, avec une etude appliquee aux industries electroniques et informatiques. En effet, l'innovation et le progres technique sont facteurs de distorsions et de transformations economiques et industrielles. Aussi, articule aux notions de temps et de progressivite, le concept de diffusion revet une importance theorique considerable. Comme processus d'integration de la technique dans l'espace economique, la diffusion occupe une place essentielle. Et la notion de transmission est d'ailleurs implicite a tous les concepts d'invention, d'innovation et de progres technique. L'analyse se demarque des theses schumpeteriennes pour lesquelles la diffusion est reduite a l'imitation de l'innovateur par ses concurrents, et le changement technique subordonne a l'enclenchement de cycles longs. La these etudie les principaux mecanismes de transmission des innovations. Elle montre que la direction et le conteny des flux technologiques inter-sectoriels subissent la triple influence des externalites, des effets d'entrainement et des effets de domination existant entre les secteurs. Ces trois phenomenes apparaissent comme les principaux determinants de la diffusion de l'innovation dans le tissu economique. La configuration de la diffusion depend alors de la position des activites a l'origine du progres technique dans l'industrie, et de l'imbrication des principales structures que sont l'etat, les grands groupes et les pme. Quatre mecanismes fondamentaux de la diffusion sont degages : -les relations internes a ces structures hierarchisees; -les externalites; -les coalitions d'acteurs industriels; -le conflit marche hors marche
This thesis can be read as a theoretical analysis of the patterns of technical change in modern economies with an illustrative case study on electronic and data processing industries. A general theoretical task is the explanation of the determinants and directions of technical change. Because innovation and technical progress create industrial transformation and economic development, innovation diffusion, based on time and progressiveness, is an important theoretical concept. We have to go beyond the assumptions of schumpeterian analysis : innovation diffusion can't be limited to imitation, no technical change based on long waves. The thesis studies the main mecanisms of the innovation transmission, and analyses the fact that some sectors are generators of technology. External effects, leading activities and domination effects shape the direction of technological flows between sectors. These economic phenomenous are the main determinants of innovation diffusion. The diffusion pattern is subject to linkages between state, industrial corporatcs and small enterprises. The four main mecanisms of innovation diffusion are : -linkages between economic structures; -external effects; -joint-ventures; -and conflict between implicit coordination of market and explicit coordination generated by firms
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Books on the topic "Diffusion innovations"

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Diffusion of innovations. 4th ed. New York: Free Press, 1995.

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Diffusion of innovations. 5th ed. New York: Free Press, 2003.

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Mulloth, Balashankar, Stefano Rumi, and Leslie Ramos Salazar. Diffusion of Innovations. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071905067.

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Hall, Bronwyn H. Innovation and diffusion. Cambridge, MA: National Bureau of Economic Research, 2004.

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Hall, Bronwyn H. Innovation and diffusion. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Gatignon, Hubert. Diffusion of innovation. Brussels: European InstituteFor Advanced Studies in Management, 1989.

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Fennell, Mary L., and Richard B. Warnecke. The Diffusion of Medical Innovations. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5436-9.

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Dave, Elliott, ed. Diffusion: Consumers and innovation. 2nd ed. Milton Keynes: Open University, 2010.

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Hölttä, Risto. Multidimensional diffusion of innovation. Helsinki: Helsinki School of Economics and Business Administration, 1989.

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University, Open, ed. Diffusion: Consumers and innovation. Milton Keynes: Open University, 2006.

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Book chapters on the topic "Diffusion innovations"

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Wolf, Cornelia. "Diffusion of Innovations." In Schlüsselwerke: Theorien (in) der Kommunikationswissenschaft, 151–70. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37354-2_10.

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Karnowski, Veronika, and Anna Sophie Kümpel. "Diffusion of Innovations." In Schlüsselwerke der Medienwirkungsforschung, 97–107. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09923-7_9.

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Fennell, Mary L., and Richard B. Warnecke. "Medical Innovations and Interorganizational Diffusion." In The Diffusion of Medical Innovations, 1–25. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5436-9_1.

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Rogers, Everett M. "The Diffusion of Innovations Model." In Diffusion and Use of Geographic Information Technologies, 9–24. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1771-5_2.

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Klingelhöfer, Stefan. "Rogers (1962): Diffusion of Innovations." In Schlüsselwerke der Netzwerkforschung, 489–93. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21742-6_115.

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Khiaonarong, Tanai, and Jonathan Liebenau. "The Diffusion of Payment Innovations." In Contributions to Economics, 101–16. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2333-2_5.

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Larsen, Tor J. "The Phenomenon of Diffusion." In Diffusing Software Product and Process Innovations, 35–50. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35404-0_4.

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Veryard, Richard. "The Diffusion of Components." In Diffusing Software Product and Process Innovations, 131–45. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35404-0_9.

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Sengupta, Jati K. "Knowledge Diffusion and Learning by Doing." In Technology, Innovations and Growth, 55–87. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230295254_3.

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Fennell, Mary L., and Richard B. Warnecke. "Data and Methods." In The Diffusion of Medical Innovations, 27–61. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5436-9_2.

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Conference papers on the topic "Diffusion innovations"

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Rong, Xin, and Qiaozhu Mei. "Diffusion of innovations revisited." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505587.

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Acemoglu, Daron, Asuman Ozdaglar, and Ercan Yildiz. "Diffusion of innovations in social networks." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6160999.

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Tsutsui, Mariko. "Diffusion of Innovations and Personal Network." In 2018 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2018. http://dx.doi.org/10.23919/picmet.2018.8481896.

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Ramezanian, Rasoul, Matteo Magnani, Mostafa Salehi, and Danilo Montesi. "Diffusion of innovations over multiplex social networks." In 2015 International Symposium on Artificial Intelligence and Signal Processing (AISP). IEEE, 2015. http://dx.doi.org/10.1109/aisp.2015.7123501.

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Henderson, Charles, Andrea Beach, and Michael Famiano. "Diffusion of Educational Innovations via Co-Teaching." In 2006 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2007. http://dx.doi.org/10.1063/1.2508706.

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Chun-lin, Li. "Research on diffusion of network teaching platform innovations." In 2012 7th International Conference on Computer Science & Education (ICCSE 2012). IEEE, 2012. http://dx.doi.org/10.1109/iccse.2012.6295433.

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Li Ping, Han Yan, and Ding Mao. "Notice of Retraction: The diffusion of technology innovations." In 2010 IEEE International Conference on Advanced Management Science (ICAMS). IEEE, 2010. http://dx.doi.org/10.1109/icams.2010.5553116.

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Li, Ying, and Zhigao Chen. "Diffusion of Innovations in a Small World Network." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1376.

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NETO, BEATRIZ HELENA, JANO MOREIRA DE SOUZA, and JONICE DE OLIVEIRA. "TECHNOLOGICAL AND KNOWLEDGE DIFFUSION THROUGH INNOVATION NETWORKS." In Managing Knowledge for Global and Collaborative Innovations. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814299862_0001.

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Makovhololo, Phathutshedzo, Ferin Taylor, and Tiko Iyamu. "Diffusion of Abstractive Summarisation to Improve Ease of Use and Usefulness." In 2018 Open Innovations (OI). IEEE, 2018. http://dx.doi.org/10.1109/oi.2018.8535750.

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Reports on the topic "Diffusion innovations"

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Schneider, Ingrid, Dorothy Anderson, and Pamela Jakes. Innovations in recreation management: importance, diffusion, and implementation. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1993. http://dx.doi.org/10.2737/nc-gtr-155.

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Spolaore, Enrico, and Romain Wacziarg. Long-Term Barriers to the International Diffusion of Innovations. Cambridge, MA: National Bureau of Economic Research, August 2011. http://dx.doi.org/10.3386/w17271.

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Caeiro, Rute Martins. From Learning to Doing: Diffusion of Agricultural Innovations in Guinea-Bissau. Cambridge, MA: National Bureau of Economic Research, July 2019. http://dx.doi.org/10.3386/w26065.

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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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Streicher, Jürgen, Angela Wroblewski, Klaus Schuch, and Sybille Reidl. RTI Policy Note on Evaluating Social Innovations. Fteval - Austrian Platform for Research and Technology Policy Evaluation, July 2021. http://dx.doi.org/10.22163/fteval.2021.519.

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Abstract:
Expectations of research, technology and innovation (RTI) policy are shifting towards effectively addressing major societal challenges. Due to its potential to increase innovative dynamics, to develop new knowledge and create new solutions, social innovation is increasingly promoted. This raises questions about (potential) effects and impacts of social innovation. The assessment of impacts is a rather new topic in this field, respective research is still in its early stages. This paper proposes to focus on the change of social practices within RTI ecosystems when assessing social innovation. The ecosystem approach is not only a helpful concept to analyse the emergence and diffusion of social innovation in a specific context, it can also be used to support and guide policy design. Implication for evaluation design are discussed and analytical categories presented. A set of measurement dimensions is proposed that can be used in evaluation designs and for future research.
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Masotti, Matteo, Lusine Aramyan, Katja Logatcheva, Simone Piras, Simone Righi, Matteo Vittuari, and Marco Setti. Behavioural economics : assessing food waste innovations diffusion through ABM models - insights from Italy and the Netherlands. Netherlands: REFRESH, 2019. http://dx.doi.org/10.18174/478168.

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Wiser, Ryan H., Naim R. Darghouth, Ben Hoen, Galen L. Barbose, Joachim Seel, Varun Rai, Ariane Beck, et al. Diffusion of Innovations: Interplay of Social, Economic, Technological, and Policy Drivers in the Solar Industry. Summary of UT Austin Student Capstone Research Projects. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1477405.

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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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