Journal articles on the topic 'Diffusion innovations'

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1

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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6

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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8

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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Fuah, Siti Mas, and Roro Isyawati Permata Ganggi. "The Diffusion of Innovations Elements in Library Science Journals." E3S Web of Conferences 359 (2022): 03019. http://dx.doi.org/10.1051/e3sconf/202235903019.

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This study aims to determine the diffusion of innovation in the publication of library science journals. This research uses qualitative methods, and data collection is carried out by unstructured observation, in-depth interviews, and document studies. The results of this study explain that, the implementation of innovation diffusion is supported by the presence of important elements that have a significant influence in order to convince the audience to use or apply distributed innovations. These elements are communication channels, social systems, time, and innovation. The four elements can explore the effectiveness of electronic journals in realizing diffusion or spreading innovations through published scientific articles. Publication templates also provide improvements related to the quality of innovation creation written by innovators from the results of previous research, thus ensuring that users or adopters receive new ideas through the implementation of diffusion of innovations that have been implemented.
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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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Maybaum, Rebecca. "Language Change as a Social Process: Diffusion Patterns of Lexical Innovations in Twitter." Annual Meeting of the Berkeley Linguistics Society 39, no. 1 (December 16, 2013): 152. http://dx.doi.org/10.3765/bls.v39i1.3877.

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In lieu of an abstract, here is a brief excerpt:The similarities between findings from language change research and innovation diffusion research suggest that language change may be explained by the same mechanisms that govern the social diffusion of non-linguistic innovations. In this paper I apply the theoretical framework of innovation diffusion research to an instance of language change. By approaching the diffusion of linguistic innovations as a social process, I hope to gain insights into the mechanisms of language change from a new perspective.
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14

Avolio, G., E. Blasi, C. Cicatiello, and S. Franco. "The drivers of innovation diffusion in agriculture: evidence from Italian census data." Journal on Chain and Network Science 14, no. 3 (January 1, 2014): 231–45. http://dx.doi.org/10.3920/jcns2014.x009.

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Innovation is a key issue in the discussion about the links between agriculture, food production and sustainability. Indeed, the creation, adoption and exploitation of innovations can interact with all three dimensions of sustainability – environment, society and economy. Despite the increasing support for innovation practices in the agrifood sector from institutions and public policies, innovation in this sector has spread quite slowly. Indeed, the diffusion of innovations strongly depends on the social, institutional and productive system behind the technological/structural features of the farms. The analysis of the drivers underpinning the innovation diffusion dynamics in agriculture is therefore a very interesting topic for studies in this domain. This paper aims to provide a map of the diffusion of innovations in the Italian agricultural sector, highlighting differences and territorial specificities. We try to explain the drivers and factors influencing such specificities, drawing from data on the agricultural sector as well as information on the institutional and regulatory framework. Data on the diffusion of product, process, organizational and marketing innovations in agriculture have been gathered for the 110 Italian provinces, drawing from the 2010 Agricultural Census survey. Maps of the diffusion of the different types of innovations have then been constructed and analysed. Results show that the diffusion of the different innovation types is not uniform within the country. Some are typical to specific areas where productive or market opportunities occur. Others are not territorial-specific but are linked to the features of the single farms. The influence of the regulatory context also seems to play a significant role. By analysing the local expenditure in rural development intervention, we analyses how the synergies among the productive and institutional systems may act as a driver for innovation diffusion in agriculture.
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Gierhake, Klaus, and Carlos Maria Fernandez Jardon. "The role of local universities in the dissemination of social innovations: the case of the municipal district of Quito." 26, No1 - 2021, no. 26, No 1 - 2021 (November 22, 2021): 149–68. http://dx.doi.org/10.36995/j.visiondefuturo.2021.26.01.004.en.

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Local knowledge helps generate social innovations. Universities, which are part of the territorial innovation system, are important in creating innovations, but their role in diffusing social innovations is less well known. The social policies established in Ecuador have given rise to different social innovations. In particular, the metropolitan district of Quito, based on the metropolitan development plan from 2012 to 2022, has generated a process of social innovations of great interest. Local universities usually participate in the training process of the agents involved in the development of social innovation. In a complementary way, local universities can facilitate cooperation between these agents. Both are essential elements in the diffusion of innovation. This paper analyzes the importance of collaboration with universities to disseminate social innovations in the Metropolitan District of Quito, using a series of interviews. The results indicate that the lack of collaboration with the universities and the limited knowledge that exists in them hampered the practical development of the plan and its effectiveness.
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THIRIOT, SAMUEL, and JEAN-DANIEL KANT. "USING ASSOCIATIVE NETWORKS TO REPRESENT ADOPTERS' BELIEFS IN A MULTIAGENT MODEL OF INNOVATION DIFFUSION." Advances in Complex Systems 11, no. 02 (April 2008): 261–72. http://dx.doi.org/10.1142/s0219525908001611.

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A lot of agent-based models were built to study diffusion of innovations. In most of these models, beliefs of individuals about the innovation were not represented at all, or in a highly simplified way. In this paper, we argue that representing beliefs could help to tackle problematics identified for diffusion of innovations, like misunderstanding of information, which can lead to diffusion failure, or diffusion of linked inventions. We propose a formalization of beliefs and messages as associative networks. This representation allows one to study the social representations of innovations and to validate diffusion models against real data. It could also make models usable to analyze diffusion prior to the product launch. Our approach is illustrated by a simulation of iPod™ diffusion.
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Lopolito, Antonio, Angela Barbuto, and Fabio Gaetano Santeramo. "The role of network characteristics of the innovation spreaders in agriculture." Bio-based and Applied Economics 11, no. 3 (November 4, 2022): 219–30. http://dx.doi.org/10.36253/bae-9932.

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The diffusion of innovations is largely influenced by the characteristics of the network of initial adopters (or innovation spreader). We investigate how these characteristics tend to influence the adoption rate and the speed of the diffusion process of a technological innovation in agriculture. The diffusion process is simulated through an Agent Based Model that replicates real-world data. We found that the closeness and the clusterization of the networks are the variables that tend to affect the most the capability of spreading innovations among members. Our findings have direct policy implications: since innovations help advancing the economic development of the agricultural sector, promoting the emergence of networks that have desirable characteristics would enhance growth. Our analysis provides specific insights on how to plan networks with desirable characteristics for the innovation spreaders.
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Binkauskas, Gintaras. "INTERNAL AND EXTERNAL FACTORS THAT DETERMINED INNOVATION DIFFUSION CHANNELS IN LITHUANIA." Ekonomika 88 (January 1, 2009): 90–105. http://dx.doi.org/10.15388/ekon.2009.0.1033.

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The prevailing opinion in Lithuania is that the country‘s economic growth was determined by the inflow of foreign direct investments (FDI). Their influence on the Lithuanian economy remains unquestionable, however, there is a tendency to overestimate their impact, while otherfactors are under-estimated or ignored completely when conclusions on their influence on the country‘s economy are drawn. Based on the data of the Department of Statistics of Lithuania, Eurostat, other agencies and the analysis of the research of Lithuanian and foreign academics on FDI, and the impact of the innovations on the country‘s economy, the given study presents the analysis of the three main channels for the technological and innovation diffusion, which have exercised a decisive influence on the economic development in Lithuania over the last decade. They are foreign direct investments, international trade, and the country‘s knowledge capital. These diffusion channels were considerably important in the transition period, however, the creation of original knowledge and innovations, or the creative application of the technology created in other countries and application of the knowledge gained abroad was utilised least. In Lithuania,, the creation and adoption of extended modifying innovations and technologies was dominant in terms of innovation modes, while the strategic innovations were created by only 1 percent of Lithuanian enterprises . A comparative analysis of surveys, statistical data, and academic studies was conducted and lead to the conclusion that the main technology and innovation diffusion channel, as well as the main driving force behind Lithuania‘s economy during the transitional period of 1996–2007 was neithert FDI nor the scientific potential of the country, but rather the international trade. In addition, the data suggests that the country‘s scientific potential was ill-prepared for the changes brought on by globalisation and had a very weak impact on the growth of the Lithuanian economy and the economy‘s technological and innovational reorientation, which led to the enterprises searching for other possible sources of innovation. The model for the creation of innovation eacompassing state institutions, the science community and enterprises was not functional during the said period in Lithuania.
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Wonglimpiyarat, Jarunee. "FinTech banking industry: a systemic approach." foresight 19, no. 6 (November 13, 2017): 590–603. http://dx.doi.org/10.1108/fs-07-2017-0026.

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Purpose This paper aims to explore FinTech and its dynamic transitions in the banking industry. In particular, the study analyses the systemic innovation nature of FinTech-based innovations. The main contribution of this research study is the development of systemic innovation model which can be used as a dynamic tool to track the progress and pattern of technology development and diffusion. The research also discusses the latest financial innovation of PromptPay FinTech – the e-payment system in Thailand. Design/methodology/approach This research uses the case study approach to analyse the systemic innovation characteristics of FinTech-based innovations. This research offers a new systemic innovation model which is developed and can be used as a dynamic tool to track the progress and pattern of technology development and diffusion. The study uses FinTech-based innovations as case study samples to gain a better understanding concerning the systemic characteristics and the pattern of technology diffusion under the analytical framework of systemic innovation model. This research involves qualitative interviews with five major commercial banks in the financial services industry of Thailand. Findings The analyses of findings show the systemic characteristics of FinTech-based innovations in the banking industry, both at a global scale and Thailand case. The analyses have shown that systemic characteristics of the innovation process are the outcome of interactions between the complexity of the innovation and the capabilities of innovators in managing the innovation. The insightful implications on the systemic nature of innovation give the trend and direction of FinTech-based innovation development in the banking industry. Originality/value The main contribution which shows originality and value of this paper is the development of systemic innovation model. This research study develops a systemic innovation model to analyse the systemic characteristics which can be applied to all innovations in any industry. The model can also help track the progress and pattern of technology development and diffusion. Therefore, the model can be used to project the trend and diffusion of innovation competition in the banking industry.
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Ivanova, Anna, Lyudmila Guseva, and Svetlana Chernyshova. "ANALYTICAL ASSESSMENT OF INNOVATION DIFFUSION PRIORITIES." Actual directions of scientific researches of the XXI century: theory and practice 9, no. 4 (January 19, 2022): 62–77. http://dx.doi.org/10.34220/2308-8877-2022-9-4-62-77.

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The article deals with the issues of identifying promising areas of scientific and technical development of forestry in the Russian Federation from the point of view of the demand for innovations. Since the resources of the scientific and technical potential of forestry are limited, and the range of diverse tasks in the field of scientific and technological development is extremely wide, the system for the formation and implementation of such priorities is of paramount importance in the commercialization of forestry innovations in the Russian Federation, which will accelerate the process of diffusion of innovation. To substantiate the priorities of the diffusion of innovations in forestry in the Russian Federation, bibliometric analysis was applied. An analytical assessment of the priorities of the diffusion of innovations was carried out according to two criteria: the criterion of significance and the criterion of the dynamism of the analyzed direction of science and technology in the field of forestry, which is promising for the diffusion of innovations. It has been proved that, according to the criterion of significance, the most promising at the moment for the diffusion of innovations are scientific areas of forest fire protection, forest protection, invasions, chemical and biological means of forest protection, forest engineering, robotics and forest genetics and selection, biodiversity conservation. ... According to the criterion of dynamism, consumers are most interested in the direction for assessing the productivity, growth, depositing capacity of forest ecosystems. As the conclusions, well-founded proposals were made regarding the prospects for the diffusion of innovations in the forestry of the Russian Federation.
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Ortt, J. Roland, and Tineke M. Egyedi. "The Effect of Pre-Existing Standards and Regulations on the Development and Diffusion of Radically New Innovations." International Journal of IT Standards and Standardization Research 12, no. 1 (January 2014): 17–37. http://dx.doi.org/10.4018/ijitsr.2014010102.

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The controversy among scientists on whether standards and regulations hamper or stimulate innovation contains too little specificity and provides too few clues for innovation managers to act upon. In this article, we underscore the importance of timing and start by focusing on the effect of pre-existing standards and regulations on the subsequent development and diffusion of product innovations. The effect is assessed in terms of the time interval between the invention of a technological principle and the introduction of the first marketable product (development phase), and the successive time interval up to the start of large-scale industrial production and diffusion (adaptation phase). The authors analyse fifty heterogeneous cases studies of radically new high-tech product innovations from the year 1850 onward. The results indicate that pre-existing standards and regulations significantly shorten the adaptation phase of innovations, an effect not found for the development phase. The shortening effect on the adaptation phase is particularly evident for radically new innovations and innovations that are an integral part of larger technological systems. As the adaptation phase is often a time- and capital-intensive phase for industry, this accelerating effect on the diffusion of innovations is highly relevant for innovation managers and policy makers.
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Hains, Bryan, and Kristina Hains. "Community Reaction towards Social Innovation: A Discussion of Rogers’ Diffusion of Innovations Theory in Consideration of Community Emotional Response." Journal of International Agricultural and Extension Education 27, no. 1 (January 15, 2020): 34–46. http://dx.doi.org/10.5191/jiaee.2020.27103.

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While originally utilized within the natural and agricultural sciences, the diffusion of innovation theory has been applied across numerous contexts. As we continue to apply this model within Extension education, international development, and other community education contexts around the world, it not only becomes pertinent to examine how it applies towards social innovations – innovations that improve the social good – but also to understand how communities react when adopting social innovations. Within this article, researchers propose an Emotional-Behavioral Influence Model to deepen the understanding as to how communities respond, emotionally and behaviorally, towards social innovations throughout the adoption process. They then overlay the model onto two examples, one urban and one rural, showcasing its application to communities worldwide. Finally, researchers discuss implications for extension professionals as they preflect on implementing social innovations in communities globally. Keywords: Diffusion of Innovation theory; flow; communities; downshifting; social innovation
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Lundberg, Mary, Susanne Engström, and Helena Lidelöw. "Diffusion of innovation in a contractor company." Construction Innovation 19, no. 4 (October 7, 2019): 629–52. http://dx.doi.org/10.1108/ci-08-2018-0061.

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Purpose In the construction industry, it has proven difficult to implement and realize innovation efforts, for example in the development of industrialized construction and use of platform concepts. Thus, the purpose of this study is to characterize the innovation diffusion process in the social system of a large Swedish contractor company. Specifically, the diffusion of three innovative industrialized house-building (IHB) platforms and factors affecting their adoption and implementation (particularly effects of their perceived radicality in relation to the company’s decentralized characteristics) are identified and discussed. Design/methodology/approach A case study approach was applied, using empirical material including semi-structured interviews and archival records (research reports from earlier studies at different points in time related to each innovation and annual corporate reports). The material was analyzed using Rogers’ (2003) five-stage innovation process model, acknowledging the importance of social systems’ structures. Findings Structural characteristics of the social system strongly affect innovation diffusion. In subsystems that had not been involved in initiation of the innovations, they were regarded as radical, which hindered their adoption and implementation. Research limitations/implications This study builds upon the recent findings that successful innovation implementation depends on a range of contingencies in the construction context. Although the diffusion of the innovations per se has been traced over a ten-year period, generalizability is limited because the results come from one construction company. Practical implications Contractors have invested substantially in the development of industrialized construction and use of platform concepts, but less in their implementation, so they have obtained little gain. How innovations are perceived and implemented in different subsystems affects the success of their implementation in the overarching social system. Originality/value This study adheres to previous calls for more research on firm level in the complex social system of construction companies by adopting a ten-year perspective on the diffusion of innovation at a large contractor addressing in particular the impact of the innovations perceived radicality in relation to the decentralized characteristics of the company.
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Rogers, Everett M. "Diffusion of preventive innovations." Addictive Behaviors 27, no. 6 (November 2002): 989–93. http://dx.doi.org/10.1016/s0306-4603(02)00300-3.

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Lindsey, Timothy C. "Diffusion of P2 innovations." P2: Pollution Prevention Review 8, no. 1 (1998): 1–14. http://dx.doi.org/10.1002/(sici)1520-6815(199824)8:1<1::aid-ppr1>3.0.co;2-r.

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Kuznetsov, V. A., and S. V. Sekerin. "Diffusion of innovations as a factor of economic development." Izvestiya MGTU MAMI 7, no. 4-1 (February 20, 2013): 75–79. http://dx.doi.org/10.17816/2074-0530-68049.

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Currently, a significant factor in economic development is a diffusion of innovations. Due to limited resources, no country can isolated carry out innovate activity in accordance with the closed models of the innovation process. Transfer of innovation is an effective tactical mean which allows to achieve high rates of economic growth in the short and medium term. But its success depends on the ability of economic agents perceive innovations and their high innovative activity.
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Hislop, Donald, Sue Newell, Harry Scarbrough, and Jacky Swan. "Innovation and Networks: Linking Diffusion and Implementation." International Journal of Innovation Management 01, no. 04 (December 1997): 427–48. http://dx.doi.org/10.1142/s1363919697000218.

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This paper examines the appropriation of IT-based innovations within firms. It argues that such innovations represent a challenge to the tendency in the existing literature towards the analytical separation of diffusion and implementation as distinct theoretical domains. In contrast, this paper develops a more transcendent analysis of such innovations by focusing on the cognitive translations and appropriations which link idea generation, diffusion and implementation. This analysis identifies the processes linking wider inter-organisational diffusion networks and intra-firm distributions of expertise as playing a crucial role in the appropriation of innovation. We refer to these as processes of articulation: a formulation which leads to a reappraisal of the networking activities of boundary-spanning individuals.
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Moreland, Hayley, and Paul Hyland. "Improving communication and increasing adoption of innovations in the beef industry." Journal of Science Communication 12, no. 02 (May 20, 2013): A01. http://dx.doi.org/10.22323/2.12020201.

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Agriculture has adopted many scientific innovations that have improved productivity. The majority of innovations in agriculture have been communicated to end users through a simple diffusion and dissemination model. However, as the science underpinning the innovations becomes more complex, research and development organizations need to look at better ways to communicate their innovation to end users. This paper examines innovations in the beef industry in Australia and investigates how complex innovations are being communicated and identifies the nature and level of communication with end users and the role of intermediaries. The findings support the need for greater involvement of end users in the innovation development process and a more vibrant two-way communication process between scientists, intermediaries and end users. The results also suggest that the traditional diffusion processes are insufficient to ensure high levels of awareness and adoption.
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Vega, Arturo, Mike Chiasson, and David Brown. "Extending the Research Agenda on Diffusion: The Case of Public Program Interventions for the Adoption of E-business Systems in SMEs." Journal of Information Technology 23, no. 2 (June 2008): 109–17. http://dx.doi.org/10.1057/palgrave.jit.2000135.

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Given the importance of contextual influences on the diffusion of innovations, the theories and methodologies that take context into account are increasingly relevant to research and practice. One such approach, the systems of innovation approach, considers context to be a cascading set of effects arising from various participants and innovations surrounding the production and diffusion of a focal innovation. Based on this approach, we focus on a public program involved in the diffusion of e-business systems to small and medium-sized enterprises (SMEs). E-business systems are complex innovations, and the contextual influences are particularly important here, because SMEs often lack the knowledge and resources to strategically adopt, modify, and use these innovations. Using the systems of innovation approach, we examined the contexts around public program interventions with an SME in order to explain their form and influence on e-business adoption processes. The empirical findings suggest that many public programs fail to effectively deliver interventions because program contexts restrict program personnel's ability to completely assess and respond to the range of adopter needs. While some aspects of the program contexts can be altered by the program directors, others are further removed and are currently beyond our collective control at this point-in-time. The implications for diffusion research and practice are discussed.
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Hamid, Shahnaz. "Singhal Arvind and James W. Dearing (ed.). Communication of Innovations: A Journey with Everett Rogers. New Delhi: Sage Publications. 2006. 259 pages. Paperback. Indian Rs 360.00." Pakistan Development Review 45, no. 3 (September 1, 2006): 496–97. http://dx.doi.org/10.30541/v45i3pp.496-497.

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The book “Communication of Innovations” comprises of ten essays that focus and highlight the ideas and works of a highly renowned student and proponent of diffusion of innovations, communication networks, and social change—Everett Rogers. Each chapter of the book discusses different aspects of Rogers’s dynamic personality, his individual and remarkable ways of working and advancing in his field. This book presents introductory remarks to Everett Rogers’ personality. His beginnings in the field of communication of innovation, his focus on diffusion of innovation, his optimism, his main intellectual contribution, the combination of the diffusion of innovation models and the main purpose of writing this book to ‘honour the memory and contributions’ of Rogers is also elaborated.
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Niu, Jinfang. "Diffusion and adoption of research data management services." Global Knowledge, Memory and Communication 69, no. 3 (September 6, 2019): 117–33. http://dx.doi.org/10.1108/gkmc-05-2019-0057.

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Purpose This paper aims to identify the diffusion patterns, especially the communication channels, in the diffusion and adoption of research data management services (RDMS) among libraries. Design/methodology/approach Literature about the RDMS in individual libraries was gathered and analyzed. Data relevant to the research questions were extracted and analyzed. Findings Early adopters conduct much original research to create RDMS and they often serve as change agents in diffusing their RDMS and related innovations to other libraries. In contrast, late adopters usually learn from early adopters and use their innovations for establishing their own RDMS. Communication channels used in diffusing RDMS deviate slightly from those reported in general diffusion of innovations (DOI) theories. Research limitations/implications Gathered literature provides incomplete and uneven information for RDMS adopters. This makes it difficult to identify adopter categories and test many generalizations in DOI theories. To overcome these limitations, surveys and interviews will be conducted in the future. Originality/value Findings from this project contribute to general DOI theories because RDMS is unique compared with many other innovations. The diffusion of RDMS is a decentralized process that involves a high-degree of reinvention and it involves the generation and diffusion of many relevant innovations. The project also identified scholarly communication and inter-organization networks as new types of communication channels that are not well accounted for in existing DOI theories.
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Hidayat, Marzul, and Amirul Mukminin. "The Diffusion of Innovations Model: Applications to Education Policymaking and Critique." Edukasi: Jurnal Pendidikan dan Pengajaran 9, no. 2 (December 31, 2022): 100–107. http://dx.doi.org/10.19109/ejpp.v9i2.15745.

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The origins of the diffusion of innovations theory are varied and span across various disciplines, and in a sort of contexts. The diffusion of Innovation framework is a theory of how, why, and at what rate new ideas, concepts, technology, technical information, and actual practices spread or diffuse through cultures or system. When innovations happen, innovations may be spread from the innovator (a state or government) to any other groups (states or governments). The inquiries of state policy innovation have been a foremost subject in political science and public policy. Political and policy academics and scholars are attracted in looking at how and why a policy or program spreads (diffusion) from one state government to another and what make happen a government or state to adopt a new program or policy. This paper will focus on (1) the diffusion of innovations model’s general characteristics, its theoretical origins and application across fields, (2) the history of its application to policy and politics and the central premise, (3) the dominant methodological tradition in policy and political science, (4) applications to education policymaking, and (5) the limitation.
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Striffler, Bruno, Julie Wohlfahrt, and Marie Thiollet-Scholtus. "Fungi resistant grape variety diffusion: a multi-scale, multi-factor approach." E3S Web of Conferences 50 (2018): 01012. http://dx.doi.org/10.1051/e3sconf/20185001012.

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Farm dependency to inputs is an issue concerning both farms and society. Viticulture is an input-intensive sector of agriculture. Some innovations in agriculture have been designed to reduce the use of inputs, such as fungi-resistant vine varieties. As the diffusion of innovation is uneven, we will compare the characteristics of innovations in both sides of the upper Rhine River. In this way we will interview farmers and analyze the geographical context. We will also compare the farms characteristics and their contexts at various scales. We expect to get a typology of innovations, with characteristics such as the impact on various scales (e.g. cropping system, farming system) and the radicalness of the changes. We also expect to get some information about the eventual levers and incentives to innovations’ diffusion, adoption or abandonment. And finally, French and German innovations will be compared to others vineyards innovations. It is possible to sharply describe several innovations reducing vineyard inputs, located on both sides of Upper Rhine River.
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Zhang, Huimin, Mu Tian, and Tsang Kai Hung. "Cultural distance and cross-border diffusion of innovation: a literature review." Academia Revista Latinoamericana de Administración 33, no. 2 (September 24, 2020): 241–60. http://dx.doi.org/10.1108/arla-10-2018-0239.

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PurposeThe objective of this study is to advance the understanding of the connection between cultural distance and the cross-border diffusion of innovations by conducting a systematic review and analysis of previous literature.Design/methodology/approachThis study involved a literature review. A total of 35 articles published in ABS journals were identified from key management, international business and marketing journals. The articles were analyzed by the methodologies and findings presented.FindingsThe literature review shows that the adoption and diffusion of innovation and new products are bound to be deeply influenced by cultural distance. Specifically, national cultures influence the willingness of consumers to buy new products at both the individual and organizational levels; organizational culture plays a key role in the process of launching new products and diffusing innovations to the market. However, existing studies and their findings are fragmented and inconsistent. Controversial views remain regarding the impact of national cultural dimensions on the diffusion of innovation at the individual and organizational levels.Originality/valueThis is the first systematic review of the literature specifically focusing on the impact of cultural distance on the cross-border diffusion of innovation. In identifying the research gaps and limitations of extant studies, the authors point to avenues for future research to develop a more integrated research agenda for marketing, management and international business research.
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Mostafavi, Ali, Dulcy Abraham, and Joseph Sinfield. "Innovation in Infrastructure Project Finance: A Typology for Conceptualization." International Journal of Innovation Science 6, no. 3 (September 1, 2014): 127–44. http://dx.doi.org/10.1260/1757-2223.6.3.127.

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Due to the growing demand for civil infrastructure, financial innovations are required to close the financing gap. However, a lack of theories has inhibited a complete understanding and, thus, creation and diffusion of financial innovation. A lack of theory about financial innovations in infrastructure is mainly due to the absence of a framework to conceptualize these innovations. A typology that enables comparison of financial systems and, hence, provide a framework to conceptualize financial innovations is missing in the existing literature. This paper defines innovation in the context of financing, funding and delivery of infrastructure projects and proposes a new typology for conceptualization of the loci and types of financial innovations in infrastructure. The loci of innovations are in risk mitigation, regulation, cash flow, contract, organizational, and capital sub-systems. Types of innovations are classified as either integrated or modular and either sustaining or disruptive. The typology was tested by mapping seven innovations created by the U. S. Federal Highway Administration and diffused into 232 transportation projects between 1994 and 2002. Qualitative comparative analysis was then used to evaluate the diffusion trends of financial innovations in the case studies and to demonstrate the capability of the proposed typology for facilitating theory building in the area of infrastructure financial innovations.
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Sharma, Gautam, and Hemant Kumar. "Commercialising innovations from the informal economy." South Asian Journal of Business Studies 8, no. 1 (March 4, 2019): 40–61. http://dx.doi.org/10.1108/sajbs-12-2017-0142.

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Purpose The purpose of this paper is to discuss the commercialisation mechanisms of the innovations that emerge from the informal sector of Indian economy. Also known as grassroots innovations, they are said to better fit with the local market demands and conditions in the developing nations of the world. The paper discusses the grassroots innovation ecosystem in India and the role that is played by the state in providing institutional support. Design/methodology/approach The paper is based on an exploratory study using both the primary and secondary sources of data. Primary data are taken from the interview of the innovators during the field work, whereas secondary data are acquired from research articles published in various journals indexed in Scopus and web of sciences, government publications and reports. The annual reports of National Innovation Foundation are analysed to gather information and to build the arguments for this paper. The secondary data are also collected and evaluated from the database of the grassroots innovators available on Grassroots Innovation Augmentation Network. Findings The paper provides insight into how the grassroots innovations are commercialised in India through different pathways such as social entrepreneurship, technology transfer and open source technology. It takes four case studies to discuss the institutional support to the grassroots innovator and the challenges in the diffusion of the grassroots innovations. Research limitations/implications Due to the chosen research approach, the results cannot be generalised on all grassroots innovations. Researchers are encouraged to conduct a survey of more grassroots innovations in order to derive generalised outputs. Practical implications The paper includes implications for understanding the diffusion process of grassroots innovations that can be useful for all the emerging and developing nations. Originality/value The paper fulfils an identified need to study the diffusion modes of informal sector innovations and management of grassroots innovations.
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Parvin, Albert Joseph, and Mario G. Beruvides. "Macro Patterns and Trends of U.S. Consumer Technological Innovation Diffusion Rates." Systems 9, no. 1 (February 18, 2021): 16. http://dx.doi.org/10.3390/systems9010016.

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Macro-level trends and patterns are commonly used in business, science, finance, and engineering to provide insights and estimates to assist decision-makers. In this research effort, macro-level trends and patterns were explored on the diffusion rates of technological innovations, a component of a sorely under-studied question in technology assessment: When should a technological innovation be abandoned? A quantitative exploratory data analysis (EDA)-based approach was employed to examine diffusion market data of 42 U.S. consumer technological innovations from the early 1900s to the 2010s to extract general macro-level knowledge on technological innovation diffusion rates. A goal of this effort is to grow diffusion rate knowledge to enable the development of general macro-based forecasting tools. Such tools would aid decision-makers in making informed and proactive decisions on when to abandon a technological innovation. This research offers several significant contributions to the macro-level understanding of the boundaries and likelihood of achieving a range of technological innovation diffusion rates. These contributions include the determination that the frequency of diffusion rates are positively skewed when ordered from slowest to fastest, and the identification and ranking of probability density functions that best represent the rates of technological innovation diffusion.
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NIEMINEN, JORMA. "THE EMERGENCE OF INNOVATION-BASED WIRELESS CLUSTERS: QUALITY AND TIMING MATTER." International Journal of Innovation Management 15, no. 06 (December 2011): 1271–95. http://dx.doi.org/10.1142/s1363919611003738.

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This study compares the emergence of four wireless clusters in the 1970s and 1980s. Two of them, Calgary in Canada and Finland, initially pursued rather similar service innovations for not very different markets but with very different outcomes, which raises the question why. One major reason that emerges from the reviewed extant research on cluster emergence and innovation diffusion concerns the differences in timing and quality of the initial innovations, affecting their respective perceived diffusion attributes, and market growth and extent. The initial innovation in Finland was well received, diffused rapidly and eventually globally, and led to a positive spiral spurring the industry on to take a global lead. In the case of Calgary, however, it was un-competitive in the broader international market, forcing the anchor firm to adapt and reorient. The study analyses and compares the characteristics of the respective initial innovations and their impact on the outcome, and concludes with a discussion and some propositions on cluster emergence. Enhanced understanding of nascent clusters, especially regarding the role of globally attractive initial innovations and their diffusion quality and timing, should provide value for both scholars and practitioners.
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Pae, Jae H., Namwoon Kim, Jin K. Han, and Leslie Yip. "Managing intraorganizational diffusion of innovations." Industrial Marketing Management 31, no. 8 (November 2002): 719–26. http://dx.doi.org/10.1016/s0019-8501(01)00190-0.

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40

ONSRUD, HARLAN J., and JEFFREY K. PINTO. "Diffusion of geographic information innovations." International journal of geographical information systems 5, no. 4 (January 1991): 447–67. http://dx.doi.org/10.1080/02693799108927868.

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41

Karauranga, Égide, and Robert Beauregard. "TECHNOLOGICAL INNOVATIONS DIFFUSION IN CHINA." Academy of Management Proceedings 2006, no. 1 (August 2006): X1—X6. http://dx.doi.org/10.5465/ambpp.2006.22898703.

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42

Strutton, H. David, James R. Lumpkin, and Scott J. Vitell. "An Applied Investigation Of Rogers And Shoemakers Perceived Innovation Attribute Typology When Marketing To Elderly Consumers." Journal of Applied Business Research (JABR) 10, no. 1 (September 27, 2011): 118. http://dx.doi.org/10.19030/jabr.v10i1.5973.

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<span>Rogers and Shoemakers typology of innovation, which has long represented the bench mark for research on the relationship of perceive innovation characteristics to the diffusion process, may not be appropriate for most marketing innovations according to the theoretical and empirical evidence developed in this research. The appropriateness of the innovation typology was investigated across innovations classified on a continuous-discontinuous continuum. The results suggest their model is appropriate for discontinuous innovations, but that respondents evaluated the continuous innovation along dissimilar dimensions, which were also smaller in number. The results argued for marketing appeals based on the determinant perceptual dimensions of innovations. For discontinuous innovations, marketing efforts should primarily focus on addressing the relative advantage and observability of the innovation. Organizations marketing continuous innovations should focus on the economic and performance advantages and ease of use associated with the product.</span>
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Enfield, Jacob, Rodney D. Myers, Miguel Lara, and Theodore W. Frick. "Innovation Diffusion." Simulation & Gaming 43, no. 2 (May 22, 2011): 188–214. http://dx.doi.org/10.1177/1046878111408024.

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Educators increasingly view the high level of engagement and experiential learning offered by games as a means to promote learning. However, as with any designed learning experience, player experiences should provide an accurate representation of content to be learned. In this study, the authors investigated the DIFFUSION SIMULATION GAME (DSG) to assess the consistency of strategies effective in the game with those implied to be effective by the diffusion of innovations theory on which the game is based. They analyzed records from 2,361 completed game sessions of the DSG and compared successful and unsuccessful strategies. They further compared successful gameplay strategies with strategies suggested by the diffusion of innovations theory. The data analysis indicated that four of the seven winning strategies were inconsistent with what the theory predicts. However, this conclusion is tentative, given limitations of temporal detail in available data. These limitations imply how data should be collected to better investigate strategies that result in successful DSG gameplay. In addition, the study provides a case in which objective methods were used to analyze patterns of gameplay and offers insight on how data should be collected to analyze patterns more effectively.
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Parvin, Albert Joseph, Mario G. Beruvides, and Víctor Gustavo Tercero-Gómez. "In Situ Technological Innovation Diffusion Rate Accuracy Assessment." Systems 10, no. 2 (February 25, 2022): 25. http://dx.doi.org/10.3390/systems10020025.

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At present, the accuracy of diffusion rate forecasting, at a macro-level, in the research literature, is nonexistent. This research reveals underlying macro-level trends of diffusion rate assessment using historical technological innovation diffusion data to explore the statistical characteristics of diffusion rate percent-error of the Bass and logistic model time stepped through its lifecycle. A quantitative exploratory data analysis (EDA) based approach was employed to uncover underlying macro-perspective patterns and insights on a technological innovation’s forecasted diffusion rate percent-error using the data of 42 matured U.S. consumer technological innovations. An objective of this effort is to determine the statistical characteristics (mean, median, variance, standard deviation, skewness, and kurtosis) of diffusion rate assessment using the Bass and logistic model at various points in a technological innovation’s lifecycle to reveal underlying directional and associative insights. Specifically, this effort explores the development of macro-perspective knowledge on quantifying the forecasting accuracy of a technological innovation’s diffusion rate using partial diffusion data. Developing such insights and a framework for accessing in situ (real-time) a technological innovation’s diffusion rate percent-error would benefit an organization’s decision makers in maximizing gains and minimizing losses. These insights include identifying whether the Bass and logistic models are more likely to overestimate or underestimate a technological innovation’s diffusion rate when assessed at various points in its diffusion lifecycle. Practitioners can use such information to set resource investment strategies and policies based on risk tolerance and the utility of the weighted outcomes via decision theory tools.
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Attour, Amel, and Sabine Chaupain-Guillot. "Digital Innovations in Public Administrations: Technological or Policy Innovation Diffusion?" Journal of Innovation Economics & Management 31, no. 1 (2020): 195. http://dx.doi.org/10.3917/jie.pr1.0061.

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46

Kristanti, Maria Mia. "Diffusion of Innovations on E-Customs Business to Government IT: Developing E-Government Services New Conceptsand Technologies." GATR Global Journal of Business Social Sciences Review 3, no. 1 (January 16, 2015): 40–46. http://dx.doi.org/10.35609/gjbssr.2015.3.1(6).

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Objective - This research aims to investigate how e-customs innovation diffusion may take place focusing on the benefits that it can bring to potential stakeholders, for business companies and governments.Two research models have been developed based on a literature review on the diffusion of IT innovations as well as on value assessment methods used for IT innovations implemented in the private and public sector.The first part of research aims to illustrate the innovation-development of business-togovernment IT innovations, while the second aims to provide a guideline on important variables needed to conduct value assessment for such innovations as well as how to classify the identified benefits. Methodology/Technique Multiple SEM analysis on e-customs have been carried out in order to test the proposed research models involving different business companies and governmental bodies. Findings - Although the Indonesian e-customs regulation states the objectives of the envisioned common standardized e-customs system, functional and technical specifications areprovided only on a high level. Therefore, the adoption and diffusion process is relegated to each individual member state. Thus, the analysis on how such a system will be adopted and diffused is the particular interest for all government corporations. Novelty - This conceptual research is an evidence of continuous improvement building in a struggling effort from the Indonesian government in reducing the poor living.The government has a strong and dominant role as an agent of change to innovate the way of doing business for living. View of research studying this correlations in Indonesian context. Type of Paper - Conceptual Keywords : Diffusion of Innovations, E-Customs, E-Government Services.
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47

Lambooij, Mattijs S., Peter Engelfriet, and Gert P. Westert. "Diffusion of innovations in health care: Does the structural context determine its direction?" International Journal of Technology Assessment in Health Care 26, no. 4 (October 2010): 415–20. http://dx.doi.org/10.1017/s0266462310001017.

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Objectives: The aim of this study was to present and illustrate an instrument to measure the level of innovation at country level.Methods: The data used are the Organisation for Economic Co-operation and Development (OECD) health data 2009, in particular the information on use of medical technology. Two composite scales expressing a relative level of adoption of innovations in health care are regressed, using multilevel regression analysis, on country characteristics. The country characteristics are selected as proxies on availability or scarcity of resources in a country. We expect that scarcity will promote adoption of innovations that enhance efficiency, and that availability of resources will promote advanced, expensive innovations.Results: Two scales were constructed. One scale indicates the use of efficiency-enhancing innovations (day case treatment), and the other scale indicates availability of advanced technical innovations. The application of day case treatment is significantly associated with education level (+), the ratio of people aged 15–64 versus younger and older people (+) and the number of hospital beds (−). Availability of advanced medical devices are associated with the expenditure on health (+), demographic dependency (−), number of hospital beds (+), and the annual reduction of hospital beds (−).Conclusions: Diffusion of innovations is influenced by characteristics of the country and of the healthcare system; fewer resources encourage diffusion of innovations that enhance efficiency and more resources encourage diffusion of complex, expensive devices. This indicates that decisions by healthcare professionals on which innovation to adopt is embedded in a context that is influenced and shaped by the availability of resources on macro level.
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48

Blanutsa, Viktor. "Spatial Diffusion of Digital Innovations: Trends, Problems and Prospects of Empirical Research." Spatial Economics 17, no. 4 (2021): 118–42. http://dx.doi.org/10.14530/se.2021.4.118-142.

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The aim of the study was to generalize the world experience of studying the spatial diffusion of digital innovations in order to determine trends in changing priorities, existing problems and possible prospects for empirical research. With the help of the author’s semantic search algorithm, approximately eighty journal articles published in the last twenty years were found in eight bibliographic databases. The use of a moving average and biproportional indices for quantitative analysis of the array of articles revealed four upward trends: an increase in the average annual number of publications on the subject under consideration, increased attention to the deployment of broadband communications, the impact of spatial diffusion on economic growth and the use of regions as territorial units for studying diffusion processes. An informal analysis of the articles led to the identification of five key problems of modern research: a significant discrepancy between the year of publication and the last year of the process under study, analysis of a limited number of digital innovations, lack of a comprehensive understanding of the joint spatial diffusion of several innovations, the dominance of the idea of the homogeneity for the initial territorial units and the unexplored system of factors contributing to or hindering the spread of digital innovations. Comparing the existing experience of studying the spatial diffusion of digital innovations with similar studies of other types of innovations allowed identifying five promising areas for further research: the use of big data; expanding the set of models used with the subsequent creation of a system of methods; the study of hierarchical, network and other methods of spatial diffusion; the definition of spatial innovation waves with an explanation of the reasons for the formation of territorial barriers and filters; creation of a theory of the spatiotemporal spread of digital innovations based on the generalization of empirical research. The necessity of determining the scope of application of the results obtained in diffusion studies outside of regional economic policy is noted
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Zeng, Fan, Chris Lo, and Stacy Lee. "Will Communication of Job Creation Facilitate Diffusion of Innovations in the Automobile Industry?" Sustainability 14, no. 1 (December 21, 2021): 36. http://dx.doi.org/10.3390/su14010036.

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The electrification and automation of vehicles are two upcoming trends in the automobile industry. However, these two new technologies also raise public concerns related to road safety, range, and, most crucially, job creation in the automotive and transportation industries. This study investigates if job creation facilitates the diffusion of innovation. Analysis of 32,006 tweets from 33 global automobile manufacturers and their international job creation records revealed that communication of job creation can improve stakeholders’ adverse social media engagement on vehicle electrification and automation, the latest innovations in transportation and logistics. Car manufacturers should continually communicate their job creation achievements to gain public acceptance when introducing innovations, which may improve the diffusion of innovations.
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Dekimpe, Marnik G., Philip M. Parker, and Miklos Sarvary. "Global Diffusion of Technological Innovations: A Coupled-Hazard Approach." Journal of Marketing Research 37, no. 1 (February 2000): 47–59. http://dx.doi.org/10.1509/jmkr.37.1.47.18722.

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The authors propose a new methodology called the “coupled-hazard approach” to study the global diffusion of technological innovations. Beyond its ability to describe discontinuous diffusion patterns, the method explicitly recognizes the conceptual difference between the timing of a country's introduction of the new technology (the so-called implementation stage; Rogers 1983 ) and the timing of the innovation's full adoption in the country (the confirmation stage). To illustrate the method, the authors apply it to the global diffusion of digital telecommunications switches across more than 160 countries.
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