Relevant bibliographies by topics / Diffusion of Innovation

Contents

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

Academic literature on the topic 'Diffusion of Innovation'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "Diffusion of Innovation"

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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 (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 (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 (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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Evangelatos, Nikolaos, and Elias Carayannis. "Innovation Diffusion." International Journal of Social Ecology and Sustainable Development 5, no. 1 (2014): 22–30. http://dx.doi.org/10.4018/ijsesd.2014010103.

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The phenomenon of diffusion has been extensively studied from different disciplines in the natural and social sciences and has been used in the study of innovation dynamics. Diffusion plays also a central role to the study of disease-spread within a population, being an essential element of epidemiological research. In case of disease-diffusion, the contagious agents spread among susceptible individuals, thus rendering them infected. Those individuals can in turn communicate the disease to other susceptible community members and start an epidemic. These characteristics of disease-spread have been successfully studied by epidemiological theoretical tools. Patent citations, traditionally used as indicators for R&D output, signal the acquisition of knowledge and, in that sense, facilitate diffusion of innovation. In this paper the authors argue that patent citations could be seen as contagious agents and the diffusion of innovation could be studied with tools from the field of epidemiology. In this direction authors draw a theoretical framework for future original research.
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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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Kovalik, Cindy L., and Chia-Ling Kuo. "Innovation Diffusion." Simulation & Gaming 43, no. 6 (2012): 803–24. http://dx.doi.org/10.1177/1046878112444577.

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Tatnall, Arthur. "Innovation Translation and Innovation Diffusion." International Journal of Actor-Network Theory and Technological Innovation 1, no. 2 (2009): 67–74. http://dx.doi.org/10.4018/jantti.2009040105.

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Kim, Kyung-Jin. "A Study on the Message Strategy for the Diffusion of Innovative Logistics System." Korean Logistics Research Association 33, no. 1 (2023): 59–71. http://dx.doi.org/10.17825/klr.2023.33.1.59.

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This study explored how message strategies should be used in the case of innovations close to those vs. far from the existing logistics system. In Study 1, it was revealed that for far-off innovations, a message emphasizing connectivity with existing logistics systems is more effective, and for near innovations, a message emphasizing differentiation is more effective. This effect was limited to flexible thinking consumers. And in the case of far-off innovation, it matches the connectivity message, and in the case of near innovation, it matches the differentiation message because the risk perception of innovation is lowered each in that case. In other words, risk perception for innovation played a role as a mediator.
 In Study 2, the role of risk perception in an innovative logistics system was explored in depth. For near innovations that only introduced RFID, message strategies that emphasized advantages were effective, and for far-off innovations that introduced both RFID and autonomous driving, message strategies that reassured risks were effective. The reason is that consumers have a high risk perception in the case of distant innovation. However, this risk management effect was limited to consumers who thought abstract and flexible. In addition, this risk management effect did not appear in an innovative logistics system for others other than for self.
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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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GOLDMAN, EMILY O. "Cultural foundations of military diffusion." Review of International Studies 32, no. 1 (2006): 69–91. http://dx.doi.org/10.1017/s0260210506006930.

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This article examines cross-national variation in the diffusion and adoption of military technologies and ideas. The history of warfare has been marked by periods of innovation in which the institutions and practices of war-making adapted in response to technological opportunities, and social and political developments. As information about new practices spreads, through the demonstration effects of innovating states or transnational social networks, military innovations have diffused throughout the international system. Diffusion can restructure power relations as states leverage new capabilities to increase their military power and enhance their international influence.
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Dissertations / Theses on the topic "Diffusion of Innovation"

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Подолкова, Світлана Віталіївна, Светлана Витальевна Подолкова, Svitlana Vitaliivna Podolkova, and Y. Mykula. "Diffusion of innovation." Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/16772.

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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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Sina, Marco <1994&gt. "Knowledge Diffusion in Innovation Networks." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14824.

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This master thesis aims at providing an extensive review on the topic of knowledge diffusion inside an innovation network by adopting the approach proper of a systemic literature review. It appears that nowadays knowledge should be regarded as a crucial asset to manage in order to secure a competitive position inside the economic system. Furthermore, it strongly contributes to the creation of innovation through the combination of different stocks of knowledge. Anyway, it is not enough to possess it. Indeed, it has to be properly diffused and combined with that available from external sources. Hence, the diffusion process is fundamental and can be successfully run by giving rise to a network system.
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Xu, Huaidong. "Forecasting innovation diffusion : a modeling approach." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/23413.

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Kandler, Anne, and James Steele. "Innovation diffusion in time and space." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-188644.

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In this paper we consider the spread of modern technological innovations. We contrast social learning and threshold heterogeneity models of innovation diffusion, and show how the typical temporal evolution of the distribution of adopters may be consistent with either explanation. Noting the likelihood that each model contains some useful independent explanatory power, we introduce a combined model. We also consider a spatially-structured population in which the spread of an innovation by social influence is modelled as a reaction-diffusion system, and show that the typical spatiotemporal evolution of the distribution is also consistent with a heterogeneity explanation. Additional contextual information is required to estimate the relative importance of social learning and of economic inequalities in observed adoption lags.
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Ransbotham, III Samuel B. "Acquisition and diffusion of technology innovation." Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28094.

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Thesis (M. S.)--Management, Georgia Institute of Technology, 2008.<br>Committee Chair: Sabyasachi Mitra; Committee Member: Frank Rothaermel; Committee Member: Sandra Slaughter; Committee Member: Sridhar Narasimhan; Committee Member: Vivek Ghosal.
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Shi, Xiaohui. "Organisational innovativeness and diffusion of innovation." Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/2245/.

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In the existing literature, studies of innovativeness usually focus on individual characteristics with little concern for aggregated behaviour; the central role of innovativeness, opinion leadership, and geographic location have not been fully reflected in diffusion models; most diffusion models either make simplified as-sumptions to model aggregated trends or concern individual behaviours exces-sively as being ‘toy models’; understandings of the diffusion forces bifurcate into explanations on social contagion effect and self-conformity effect and few diffu-sion models have tried to combine these two streams of thinking. In order to contribute knowledge to these fields, this study seeks to model the diffusion process from an agent-based perspective, with a specific focus on the effects of organisational innovativeness, opinion leadership, and geographic location. The proposed model is a focusing tool that helps interpret and organise the empirical observation. In turn, the model’s results could raise further questions for empiri-cal exploration. The result from the model simulation echoes a number of existing works on in-novation strategies with further quantitative implications for both industry policy makers and managers in organisations. It is found that the statistical distributions of organisational innovativeness and opinion leadership are both important fac-tors in diffusion; the level of information flow between organisations with differ-ent innovativeness levels influences the diffusion process significantly; to cluster organisations in one area changes the interactions between them and increases the diffusion rate, even when the average interaction level of the system is con-trolled. The model also indicates that organisations’ self-effort is the only way for being innovators; that factors that are related to interactions with others are more important for laying in the majority category; and that laggards normally adopt innovations by ‘luck’.
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Dhongde, Sharvey. "Technology and innovation diffusion : a workers' perspective." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0032/MQ64108.pdf.

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Cao, Yiying. "Innovation diffusion of agricultural biotechnology in China." Thesis, University of Northampton, 2009. http://nectar.northampton.ac.uk/4958/.

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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.<br>Ph. D.
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Books on the topic "Diffusion of Innovation"

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

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

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

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Mahajan, Vijay, and Robert Peterson. Models for Innovation Diffusion. SAGE Publications, Inc., 1985. http://dx.doi.org/10.4135/9781412985093.

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

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Hoff, Philipp H. Greentech Innovation and Diffusion. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3601-1.

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1944-, Peterson Robert A., ed. Models for innovation diffusion. Sage Publications, 1985.

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

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

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Deschênes, Lucie. New information technologies: Innovation and diffusion. Government of Canada, Dept. of Communications, Canadian Workplace Automation Research Centre, Organizational Research Directorate, 1989.

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Book chapters on the topic "Diffusion of Innovation"

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Fontana, Roberto, and Franco Malerba. "Innovation Diffusion." In The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_346.

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Fontana, Roberto, and Franco Malerba. "Innovation Diffusion." In The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_346-1.

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Firasta-Vastani, Saloni, and Jagdish N. Sheth. "Innovation diffusion." In Purpose-Driven Pricing. Routledge, 2024. http://dx.doi.org/10.4324/9781032659008-4.

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Howaldt, Jürgen, Ralf Kopp, and Michael Schwarz. "Diffusion von Innovation." In Handbuch Innovationsforschung. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-17671-6_8-1.

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Meldrum, Mike, and Malcolm McDonald. "Diffusion of Innovation." In Key Marketing Concepts. Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13877-7_23.

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Karmeshu and V. P. Jain. "Modelling Innovation Diffusion." In Innovative Behaviour in Space and Time. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60720-2_4.

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Cordell, Andrea, and Ian Thompson. "Innovation Diffusion Matrix." In The Procurement Models Handbook. Routledge, 2019. http://dx.doi.org/10.4324/9781351239509-53.

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Murayama, Yuji. "Diffusion of Innovation." In The GeoJournal Library. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-2006-9_3.

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Iyamu, Tiko. "Diffusion of innovation." In Applying Theories for Information Systems Research. Routledge, 2021. http://dx.doi.org/10.4324/9781003184119-7.

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Howaldt, Jürgen, Ralf Kopp, and Michael Schwarz. "Diffusion von Innovation." In Handbuch Innovationsforschung. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-17668-6_8.

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Conference papers on the topic "Diffusion of Innovation"

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Stepanov, Saša, Todor Petković, and Nemanja Stepanov. "DIFFUSION INNOVATION." In 5th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2019. http://dx.doi.org/10.31410/eraz.2019.353.

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Chatfield, Akemi Takeoka, and Christopher G. Reddick. "Open Data Policy Innovation Diffusion." In dg.o '16: 17th International Digital Government Research Conference. ACM, 2016. http://dx.doi.org/10.1145/2912160.2912173.

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Chunxiao, Sun, and Liu Guoyan. "Technological Innovation Diffusion Model and Evaluation on Innovation Efficiency." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.265.

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Bing, Sun, and Yu Wan-Qin. "Enterprise Knowledge Heterogeneity and Innovation Diffusion." In 2017 International Conference on Management Science and Engineering (ICMSE). IEEE, 2017. http://dx.doi.org/10.1109/icmse.2017.8574454.

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Matayong, Sureena, and Ahmad Kamil Mahmood. "KMS innovation diffusion at company X." In 2011 International Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE, 2011. http://dx.doi.org/10.1109/shuser.2011.6008508.

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Boumaiza, Ameni, Sofiane Abbar, Nassma Mohandes, and Antonio Sanfilippo. "Innovation diffusion for renewable energy technologies." In 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE, 2018. http://dx.doi.org/10.1109/cpe.2018.8372592.

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Rai, Rahul, and Venkat Allada. "Eco-innovation diffusion in artifact systems." In Intelligent Systems and Advanced Manufacturing, edited by Surendra M. Gupta. SPIE, 2002. http://dx.doi.org/10.1117/12.455281.

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An Chen, Xin. "Design Guidelines and Strategies for Interim Innovation." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004728.

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This study introduces and explores the concept of 'interim innovation' as a novel category of innovation. While sharing some innovative functions, interim innovations demonstrate a unique ability to overcome traditional innovation resistances. Despite their potential significance, scholarly research on interim innovations remains scarce. Thus, this study aims to identify and analyze the patterns and characteristics of interim innovations, with the ultimate goal of developing comprehensive design guidelines and strategic frameworks for effectively fostering and implementing these innovations.Every year, innovative products with unique or advanced functionalities emerge in the market. However, these innovations often face slow adoption due to significant barriers such as high costs and performance uncertainties, with early benefits typically accruing to consumers in premium markets. Addressing this gap, this study introduces the concept of 'interim innovation.' An interim innovation incorporates innovative functions derived from an emerging product and is specifically designed to function as an accessory for an established mainstream product. For instance, an electric stand-capable desk converter, placed on a regular desk, mimics the functionalities of an electrically height-adjustable standing desk. Similarly, an electrical bike conversion kit can transform a standard bicycle into an electric bike. These interim innovations not only replicate the functions of more advanced products but also offer considerable advantages in reducing resistance to innovation and accelerating market diffusion. Despite their potential impact, academic exploration in this field is limited. This study, therefore, seeks to analyze interim innovations and establish detailed design guidelines and strategic approaches to effectively nurture and implement these innovations.This study adopts a case study methodology to explore the under-researched area of interim innovations, focusing on their patterns and characteristics. Interim innovations are categorized into three distinct groups: electric interim products, non-electric interim products, and exceptions. Each case study involves a comparative analysis between an interim innovation and its corresponding innovation. Employing the framework of innovation diffusion theory, the study analyzes these innovations across seven key characteristics: relative advantage, compatibility, complexity, trialability, observability, perceived risks, and familiarity. The findings from these case studies are then synthesized to develop practical design guidelines and strategic recommendations for interim innovation development.Interim innovations are a strategic approach to product development. This approach involves integrating emerging innovations as compatible add-ons to existing mainstream products. By combining these two, innovative features are created. This makes interim innovations notable for their cost-effectiveness and high compatibility with mainstream products. Additionally, they provide opportunities for promoting sustainability and inclusion. However, there are risks associated with interim innovations, such as a slight reduction in utility compared to the corresponding emerging innovations and concerns with their aesthetic appeal. This study addresses this gap in research by establishing guidelines and strategies for the development of interim innovation products. It emphasizes enhancing their functionality, compatibility, and appeal within the market.
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Thomson, A., M. Haggith, and Ravi Prabhu. "Innovation diffusion: predicting success of system development." In Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dexa.2004.1333545.

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Ting Zhang, Huiyu Xuan, and Baojun Gao. "Modeling diffusion of innovation with cellular automata." In Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. IEEE, 2005. http://dx.doi.org/10.1109/icsssm.2005.1500137.

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Reports on the topic "Diffusion of Innovation"

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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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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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Orozco, Jeffrey, John Hewitt, Keynor Ruiz, Ricardo Monge-González, and Juan Antonio Rodríguez-Álvarez. Internet Diffusion, Innovation and Employment Growth in the Costa Rican Manufacturing Sector. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0009029.

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Abstract:
This study assesses the direct impact of Internet diffusion on total labor demand, the demand for skilled labor, and the demand for female labor. Using data from a sample of manufacturing firms in Costa Rica from 2006 to 2007, the study finds that both process and product innovations are positively related to employment growth and that the use of the Internet by workers for business purposes does not impact demand for labor. The positive impact of product innovation on labor demand increases when workers use the Internet for business purposes. This relationship was not found in cases of skilled and female labor demand. These findings underscore the Internet's importance in improving the impact of product innovation on employment growth and suggest that employee use of the Internet is neither a labor displacement innovation nor a gender or skill-biased innovation.
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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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Hall, Bronwyn, and Christian Helmers. Innovation and Diffusion of Clean/Green Technology: Can Patent Commons Help? National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w16920.

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Worden, Steven. The diffusion of a controversial innovation in the Alsea, Oregon area. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.3143.

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