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Journal articles on the topic 'Rogers' diffusion'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

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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2

Fèvres, Jessica. "Everett M. Rogers, Diffusion of innovations." Essais, no. 1 (May 15, 2012): 135–37. http://dx.doi.org/10.4000/essais.11135.

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3

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

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Diffusion of innovation is a process which needed in an effort to adapt to an idea or technology so that a person or group of people can adopt a new subject through the stages set. The purpose of this research is to hope that the process of accepting the attractor based on the "Piknet" sound wave as an innovation can be studied based on the diffusion theory of innovation from Rogers. The method used in this research is a literature review which was carried out for 2 (two) months, in June and July 2021. The object of the writing is to deepen Rogers' theory of the diffusion of innovations that can be used as a basis for determining the stages of the wave-based attractor diffusion process. the sound of "Piknet" to groups of fishing fishermen in Bulak District, Surabaya. Rogers' innovation diffusion theory can be used as the basis for the diffusion process of "Piknet" sound wave-based attractor innovation in Bulak District, Surabaya, using elements and stages of the decision process that are adapted to the conditions of the local community.

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4

Yakymova, Larysa. "Modeling the Diffusion of Private Pension Provision." Scientific Annals of Economics and Business 65, no. 4 (December 1, 2018): 385–405. http://dx.doi.org/10.2478/saeb-2018-0028.

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Abstract The purpose of this paper is threefold: to adapt the innovation diffusion models to describe and predict the diffusion of private pension provision; to evaluate the suitability of diffusion models based on the historical data from the Romanian and Ukrainian voluntary pension systems; and to compare the diffusion parameters of private pension provision in these countries. The study proven that diffusion models, such as the Rogers model and the Bass model, can reproduce the diffusion of innovations in the field of pensions. The Rogers diffusion parameters for Romania and Ukraine are almost identical; this gives grounds for a conclusion about the similar behavioral patterns in post-socialist countries. However, some limitations on models use are noted. During the crisis and when using the nudge mechanism, models are not always well-fitting, but when new pension schemes are introduced or new pension funds are opened, models can be used in “guessing by analogy”.

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5

Filho, Gino Giacomini, Elias Estevão Goulart, and Mônica Pegurer Caprino. "Difusão de inovações: apreciação crítica dos estudos de Rogers." Revista FAMECOS 14, no. 33 (April 14, 2008): 41. http://dx.doi.org/10.15448/1980-3729.2007.33.3432.

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A difusão de inovações tem sido uma das atribuições mais visíveis e atuais da Comunicação Social, porém não se observam discussões epistemológicas mais intensas sobre esse assunto. Há uma série de obras e marcos teóricos que abordam a difusão de inovações, sendo uma das obras referenciais o estudo de Everett Rogers: “Diffusion of Innovations”. O objetivo desse artigo é discutir a obra de Rogers à luz da crítica da comunicação social utilizando a pesquisa bibliográfica e documental. A análise de “Diffusion of Innovations” revelou que a obra não atende plenamente as atuais demandas sociais e comunicacionais atreladas ao tema, merecendo uma revisão conceitual mais abrangente e profunda tendo em vista as atuais configurações da Comunicação Social.

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6

Moon, Dae-Young. "Diffusion Factors of STEAM Education - Based on Rogers’ Diffusion of Innovations Theory -." Journal of Korean Practical Arts Education 29, no. 1 (March 31, 2016): 133. http://dx.doi.org/10.20954/jkpae.2016.03.29.1.133.

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7

Nangawe, Abbi Godfrey. "Adoption of web-based assessment in higher learning institutions (HLIs)." Journal of Applied Research in Higher Education 7, no. 1 (April 13, 2015): 113–22. http://dx.doi.org/10.1108/jarhe-03-2014-0036.

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Purpose – The increasing availability of the internet has facilitated the development of web-based tools for the assessment of students’ learning in higher learning institutions (HLIs). However, research reveals that the use of such tools is largely dependent on the attitudes of academic and non-academic staff. Therefore, the purpose of this paper is to investigate those attitudes from the standpoint of Eric Rogers’ (1983, 2003) theory of diffusion of innovation. Design/methodology/approach – This is study of the attitudes of higher education staff members towards web-based student assessment, using Eric Rogers’ theory of diffusion of innovation as a lens. Findings – Promisingly, the survey of staff members in (HLIs) in Tanzania, a developing country, indicates moderately favourable attitudes towards adoption, diffusion and sustained use of web-based assessment of student learning. Originality/value – This is a unique look at HLIs in Tanzania and how staff attitudes are leaning in favour of embracing online assessment technology.

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8

Vanderslice, Stephanie. "Listening to Everett Rogers: Diffusion of Innovations and WAC." Language and Learning Across the Disciplines 4, no. 1 (2000): 22–29. http://dx.doi.org/10.37514/lld-j.2000.4.1.04.

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9

Bakkabulindi, FEK. "A call for Return to Rogers’ Innovation Diffusion Theory." Makerere Journal of Higher Education 6, no. 1 (September 3, 2014): 55. http://dx.doi.org/10.4314/majohe.v6i1.4.

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10

Gabriel, Marcelo Luiz Dias Da Silva, and Dirceu Da Silva. "Diffusion and adoption of technology amongst engineering and business management students." International Journal of Innovation 5, no. 1 (February 16, 2017): 20–31. http://dx.doi.org/10.5585/iji.v5i1.80.

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This study aimed to identify profiles of technology adoption amongst engineering and business management students based on Rogers' theory of diffusion of innovations and on Hirschman's studies of innovativeness, novelty seeking, creativity behavior and role accumulation. A systematic literature review was performed and an item pool was generated to measure the constructs found on theory. The questionnaire was presented to an experts' panel for content validity and to a sample of subjects in the population for semantic validity. The final research instrument was then submitted to 390 students from private and public universities in Brazil. Mean age of sample was 22.5 years (SD = 4.9) and was well distributed between males (50.6%) and females (49.4%). Data was analyzed using SPSS 22.0 and SmartPLS 2.0. A hypothetical model was specified and alternative models as well. Univariate and multivariate normality was tested and PLS-SEM was chosen due to the non-parametric nature of collected data. Final results proved that Roger's theoretical profiles (e.g.: innovator, early adopter, etc) are predictors of Hirschman's adoption typology and these findings are useful to understand the generational patterns of technology diffusion and adoption and to support corporate initiatives on technology deployment amongst employees

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11

Steyer, Alexandre. "Géométrie de l'interaction sociale : Le modèle de diffusion en avalanches spatiales." Recherche et Applications en Marketing (French Edition) 20, no. 3 (September 2005): 3–20. http://dx.doi.org/10.1177/076737010502000302.

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Un nouveau modèle de diffusion des innovations est construit au confluent des travaux de Bass (1969) sur la diffusion aléatoire et de ceux de Hägerstrand (1952) sur la diffusion spatiale. Le modèle repose sur une structure particulière du réseau social au travers duquel se propage le mimétisme. Cette structure est à la fois aléatoire et régulière. Le modèle obtenu est validé empiriquement en ajustement et en prévision à partir de données empruntées à Hägerstrand (1967), Bass (1969) et Rogers (1995).

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12

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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13

Jankovic, Dejan. "The diffusion of innovations theory and its contribution to the understanding of the innovative potential of the rural areas (village)." Zbornik Matice srpske za drustvene nauke, no. 118-119 (2005): 225–56. http://dx.doi.org/10.2298/zmsdn0519225j.

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In the first pail of the paper the author has presented the theory of diffusion of innovations from the American rural sociologist Everett Rogers. This theory represents the synonym for the research of this area. The author considers that theory as useful in theoretical and methodological sense for the explanation and research of the process of diffusion of innovations in rural areas and agriculture. In the second part of the paper, the author reviews the mentioned approach and from the broader sociological aspect tries to expand the understanding of the process of diffusion of innovations.

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14

Roberts, Richie, and Craig Edwards. "Overcoming Resistance to Service-Learning’s Use in the Preparation of Teachers for Secondary Agricultural Education: A Reframing of the Method’s Diffusion Challenges." Journal of International Agricultural and Extension Education 27, no. 1 (January 19, 2020): 15–33. http://dx.doi.org/10.5191/jiaee.2020.27102.

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Although service-learning (SL) has shown promise, its adoption as a method of instruction in secondary agricultural education remains tentative. As such, this philosophical investigation examined how resistance to SL might be uniquely manifested in the context of teacher preparation and the implications for agricultural education if viewed through the lens of Rogers’ (2003) diffusion of innovations theory. After synthesizing related research and theory, we argue the method of instruction’s barriers to adoption include not only a misalignment between teacher educators’ beliefs and practices, but also result from a lack of knowledge, including (a) awareness, (b) how-to, and (c) principles (Rogers, 2003). We also posit that contextual influences at three levels – personal, institutional, and societal – drive or constrain teacher educators’ knowledge of SL during the innovation-decision process. By reframing the problem in this way, implications emerge regarding the difficulties teacher educators may experience as they cross contextual borders and attempt to overcome the knowledge deficiencies likely to influence their pedagogical decision-making. In this regard, we offer an expansion to Rogers’ (2003) innovation-decision process so teacher educators can forecast, isolate, and address better the contextual challenges and knowledge-related problems likely foregrounding their resistance to adopting SL as a method of instruction. Keywords: Diffusion of Innovations theory; innovation-decision process; resistance; service learning; teacher preparation

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Riemer-Reiss, Marti L. "Applying Rogers' Diffusion of Innovations Theory to Assistive Technology Discontinuance." Journal of Applied Rehabilitation Counseling 30, no. 4 (December 1, 1999): 16–21. http://dx.doi.org/10.1891/0047-2220.30.4.16.

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Assistive technology devices increase the capacity of individuals with disabilities to live independent, productive lives. There are, howeever many individuals with disabilities who are dissa,tisfied with their assistive technology and dlscontinue use of it. Empirical research documenting factors related to assistive technology discontinuance from consumers' perspectives iS limited. Therefore, the purpose of this study was to determine the factors that are associated with discontinuance of asslstlve technology by Individuals with dlsabilities. A quantitative, correlation research design was used to determine if there was a relatlonship among the variables (derived primarily from Rogers' diffusion of innovations theory), and discontinuanca of assistive technology. Results demonstrated that the variables of relative advantage and consumer involvement had a significant effect on predicting discontinuance of assistive technology.

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16

Lee, Ting-Ting. "Nurses’ adoption of technology: Application of Rogers’ innovation-diffusion model." Applied Nursing Research 17, no. 4 (November 2004): 231–38. http://dx.doi.org/10.1016/j.apnr.2004.09.001.

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17

Varsakelis, Dessoy, von Stosch, and Pysik. "Show Me the Money! Process Modeling in Pharma from the Investor’s Point of View." Processes 7, no. 9 (September 4, 2019): 596. http://dx.doi.org/10.3390/pr7090596.

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Process modeling in pharma is gradually gaining momentum in process development but budget restrictions are growing. We first examine whether and how current practices rationalize within a decision process framework with a fictitious investor facing a decision problem subject to incomplete information. We then develop an algorithmic procedure for investment evaluation on both monetary and diffusion-of-innovation fronts. Our methodology builds upon discounted cash flow analysis and Bayesian inference and utilizes the Rogers diffusion of innovation paradigm for computing lower expected returns. We also introduce a set of intangible metrics for quantifying the level of diffusion of process modeling within an organization.

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18

Degennaro, Al, and Brenda L. Mak. "A Diffusion Model for Computer Art in Education." Journal of Educational Technology Systems 31, no. 1 (September 2002): 5–18. http://dx.doi.org/10.2190/b69j-fdfr-ukby-4lel.

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Computer art has a long history of controversy. The diffusion of the technology within the community of fine art and art education has been slow. There are questions in regard to the effectiveness of using the computer as an art medium and as an instrument of instruction for students. We study how the diffusion model proposed by Rogers and Shoemaker can be applied to examine the attributes of computer art that affect its diffusion process. Results indicate that the adoption of computer art can be improved by enhancing software usability and computer art aesthetics. Implications for strategies to overcome conservatism in the adoption of computer art are discussed.

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19

Achuthan, Krishnashree, Prema Nedungadi, Vysakh Kolil, Shyam Diwakar, and Raghu Raman. "Innovation Adoption and Diffusion of Virtual Laboratories." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 09 (August 13, 2020): 4. http://dx.doi.org/10.3991/ijoe.v16i09.11685.

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<p class="Title1" align="left">Educational technology such as Virtual laboratories (VLs) are being perceived as sustainable solutions to growing concerns related to laboratory skill training i.e. delivering quality laboratory education to a large number of students due to shortage of infrastructure and access especially in developing nations. With these VLs being an innovation for engineering education, the study of its diffusion in higher educational institutions is critical for gauging its impact. This study examines the five variables of Rogers Diffusion of Innovations theory in determining how VLs have changed or modified users through its adoption. The involvement of early adopters participating through a program called Nodal centers and their innovation decision stages are addressed. The study also analyzed the change agents as the nodal centers for diffusing the innovation in teaching and learning processes. Virtual laboratory adoption by users (n=43600) over 30 months was surveyed and factors of diffusion were reported. Similar scoring in assessment factors suggested relative advantage, technology acceptance, intention of use and relevance of trialability were pertinent in users' perception of VLs. Social hubs among higher education institutions promoted early adoption through better engagement of students.</p>

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20

Looney, Lauren, Paul Montgomery, Michael Craig Edwards, Brian Arnall, and William Robert Raun. "Producers’ adoption behaviors for precision agriculture (PA) technologies to improve nitrogen use efficiency: Diffusion of Innovations theory as an explanatory lens." Advancements in Agricultural Development 3, no. 3 (September 16, 2022): 40–50. http://dx.doi.org/10.37433/aad.v3i3.205.

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Advancements in precision agriculture technologies enable producers to achieve higher yields; however, in some cases, these innovations have not reached widespread adoption despite years of availability. We sought to understand producers’ adoption experiences with two precision agriculture technologies: Nitrogen (N)-Rich Strips and the Sensor Based Nitrogen Rate Calculator (SBNRC). These technologies can help producers optimize their application of nitrogen fertilizer on growing crops, especially small grains such as wheat. Using Rogers’ (2003) diffusion of innovations theory as an explanatory framework, this descriptive-exploratory study examined the adoption behaviors of producers from two midwestern states. Rogers’ (2003) theoretical lens guided instrument development and interpretation of results. To better understand the effects of change agents’ actions and potential adopters’ behaviors during the innovation-decision process, more research is needed regarding disenchantment discontinuance and replacement discontinuance, the potential for pro-innovation bias, and of the innovation attribute compatibility. The future development of precision agriculture technology with the perceptions of potential adopters in mind, especially those averse to adoption and continuance, may assist in overcoming barriers to widespread diffusion.

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Dayyala, Niharika, Syed Kashif Raza Zaidi, and Kallol Bagchi. "Diffusion of IFRS using innovation diffusion models." International Journal of Accounting & Information Management 28, no. 4 (June 1, 2020): 685–701. http://dx.doi.org/10.1108/ijaim-01-2020-0002.

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Purpose This study aims to examine the diffusion pattern of International Financial Reporting Standards (IFRS) into the countries and identifies the channels of diffusion. Design/methodology/approach Data includes 98 countries that made a public commitment to IFRS adoption from 2000 to 2016. Adoptee countries are categorized based on Rogers’ adopter categorizations to understand country characteristics. Innovation diffusion models such as internal influence, external influence and bass diffusion that explain diffusion patterns are applied to the cumulative adoption of IFRS. Coefficients of internal and external diffusion are obtained using the models to explain the mode of diffusion pattern of IFRS. Further tests are done to identify the best model that explains IFRS diffusion. Findings Findings show that IFRS diffusion is a result of external influence through vertical communication from a centralized body (IASB) and internal influence due to imitation and interpersonal communication between countries. Imitation effect among the countries has a stronger effect on the IFRS adoption compared to the communication obtained from IASB. Practical implications Findings obtained can help standards-setting bodies, organizations and countries to understand the potential future of adopters and non-adopters. It facilitates the standard-setting bodies to manage IFRS diffusion by implementing measures to spread the word on the benefits of IFRS. Originality/value The study generates value by modeling a successive increase in the number of IFRS adoptee countries using empirical methods and identifies the reasons for the diffusion life cycle of IFRS.

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22

Cho, Kyoo-Lak, and So Young Jo. ""A Study on the Diffusion and Adoption of e-Learning among Elementary School Teachers: Based on Rogers' Theory of Diffusion of Innovation"." Journal of Educational Technology 28, no. 2 (June 30, 2012): 409–38. http://dx.doi.org/10.17232/kset.28.2.409.

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23

HORNIK, ROBERT. "Some Reflections on Diffusion Theory and the Role of Everett Rogers." Journal of Health Communication 9, sup1 (January 2004): 143–48. http://dx.doi.org/10.1080/1081070490271610.

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24

Rizan, C., J. Phee, C. Boardman, and G. Khera. "General Surgeon’s Antibiotic Stewardship: Climbing the Rogers Diffusion of Innovation Curve." International Journal of Surgery 47 (November 2017): S70—S71. http://dx.doi.org/10.1016/j.ijsu.2017.08.364.

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25

Akman, Ozkan, and Erol Kocoglu. "Examining Technology Perception of Social Studies Teachers with Rogers’ Diffusion Model." International Education Studies 10, no. 1 (December 26, 2016): 39. http://dx.doi.org/10.5539/ies.v10n1p39.

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Mobile learning has started to take place in education literature with the developing technology, and this technology started to have an increasing spread along with its advantages. This study examines the responses of social studies teachers to the innovations in the field of mobile learning. The study was designed within the framework of theory of diffusion of innovations by Rogers and 161 social studies teachers have participated in it. Data was collected by m-Learning Adoption Scale (MLAS) which is developed by Celik and analyzed in SPSS 18.0 package program. According to the results of this study, approximately 65% of social science teachers are within the groups that give the most positive response to diffusion of innovations theory on mobile learning (innovators, early adopters, and early majority). Also, the characteristics of mobile learning have a descriptive impact on the teachers’ ability to embrace the innovations about mobile learning and to give positive decisions on using it. The study has suggested to develop new reactions for innovations and to develop the mobile learning content through collaborative approach by all the stakeholders in education.

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Richet, Jean-Loup. "From Young Hackers to Crackers." International Journal of Technology and Human Interaction 9, no. 3 (July 2013): 53–62. http://dx.doi.org/10.4018/jthi.2013070104.

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A growing number of scholars state that the Internet presents “some unique opportunities for deviant behavior” (Rogers et al, 2006). However, although some researchers have studied this issue, the factors leading teenagers to adopt a web-deviant behavior have received less attention. From this background, the present article sets out to explore the facilitators of cybercrime. The author will explain the diffusion of web-deviant behavior amongst young people through an analysis of the literature while taking into consideration the conceptual model of diffusion of innovation by Greenhalgh et al. (2004).

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Kaur Kapoor, Kawaljeet, Yogesh K. Dwivedi, and Michael D. Williams. "Innovation adoption attributes: a review and synthesis of research findings." European Journal of Innovation Management 17, no. 3 (August 5, 2014): 327–48. http://dx.doi.org/10.1108/ejim-08-2012-0083.

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Purpose – Rogers’ diffusion of innovations theory typically concerns attributes that steer the process of inducing new ideas through various communication channels, which essentially diffuse different types of innovations into different systems. After Rogers, Tornatzky, and Klein presented 30 such attributes (five of which were Rogers’) that steered the process of innovation diffusion. The purpose of this paper is to use a systematic approach in reviewing the literature pertaining to these 30 attributes, followed by the meta-analysis of the articles collated in relevance to these attributes. Design/methodology/approach – Publications in the time frame of 1996-mid 2011 in this field of literature have been shortlisted for this review. A total of 223 innovation articles are studied in detail to collate the relevant data needed to reflect on the various informative trends exhibited by the shortlisted innovation attributes. Findings – An analysis of these trends will be carried out across three different categories – first, subjective analysis; second, seven features of an ideal innovation attribute study (approach, dependent variable, study type, instrument, measure, number of attributes, number of innovations, adopting unit); and third, antecedents and descendants of the innovation attributes, which altogether will be used deduce findings, limitations, and suggestions for future research from this review. Originality/value – No recent study has analysed existing research on less explored innovation adoption attributes. Therefore, analysis and findings presented in this research is original and will make adequate contribution to the existing research on this topic. Findings presented in this submission would be helpful for researchers, authors, reviewers, and editors.

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Kim, Jinhee, and So-Young Park. "Exploring the Diffusion Factors of Process-Fortified Assessment in Schools: Based on Rogers’ Innovation Diffusion Theory." Korean Educational Administration Society 39, no. 2 (June 30, 2021): 247–77. http://dx.doi.org/10.22553/keas.2021.39.2.247.

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Byamukama, Willbroad, Mbarara Rebecca Kalibwani, and Businge Phelix Mbabazi. "Information System (Is) Models: Technology as a Service for Agricultural Information Dissemination in Developing Countries (Uganda). A Systematic Literature Review." International Journal of Scientific and Management Research 05, no. 04 (2022): 42–54. http://dx.doi.org/10.37502/ijsmr.2022.5404.

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This article summarizes the current literature by reviewing the concepts, applications, and development of technology adoption models and theories that are supported by the literature review, with the novelty technology’s prospective application being the main focus. These included but were not limited to, the concepts of Diffusion of Innovations (DIT) (Rogers, 1995), Theory of Reasoned Action (TRA) (Fishbein and Ajzen, 1995), and Diffusion of Innovations (DIT) (Rogers, 1995). Theory of Planned Behavior (TPB) (Ajzen, 1985, 1991), Theory of Planned Behaviour, (Taylor and Todd, 1995), the Technology Acceptance Model (TAM) (Davis, Bogozzi and Warshaw, 1989, Technology Acceptance Model two (TAM2) Venkatesh and Davis (2000), Technology Acceptance Model three (TAM3) Venkatesh and Bala (2008), Unified Theory of Acceptance Model (UTAUT) Venkatesh et al; 2012 and the Extended Unified Theory of Acceptance Model (UTAUT2) Venkatesh et al; 2016. These assessments can give some information on technology adoption levels and potential applications for future researchers to consider, recognize and comprehend the underlying technology models and ideas that will have an impact on the preceding, current, and future applications of technology adoption and agricultural information dissemination by smallholder rural farmers.

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Kaszkur, Alina. "Uwarunkowania dyfuzjii-votingu jako innowacji publicznej." Świat Idei i Polityki 17, no. 1 (December 31, 2018): 273–89. http://dx.doi.org/10.15804/siip201814.

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This article analyzes the determinants which have an influence on the process of spreading i-voting as public innovation. The basis for their interpretation was the Everett M. Rogers’ diffusion of innovation theory. The review of terms: innovation, public innovation, diffusion of innovation and i-voting found in source literature has been made. The attributes of i-voting were a basis for interpretation of its acceptance. This article points out how important role in this process plays the important attributes of innovation and its connection with number of external factors such as political, social and cultural.

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Negara, Doni Kusuma, and I. Nengah Muliana. "DIFUSI INOVASI KESENIAN DRUMBLEK (Studi Kasus Kelompok Drumblek B’CAD Desa Bener, Kec. Tengaran, Kab. Semarang)." Sorai: Jurnal Pengkajian dan Penciptaan Musik 15, no. 1 (December 20, 2022): 24–39. http://dx.doi.org/10.33153/sorai.v15i1.4160.

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This study describes the diffusion and adoption of the drumblek art in the people of Bener Village, Tengaran District, Semarang Regency, Central Java. This research uses interview, observation, and literature study methods. The theory of innovation diffusion by Everett Rogers is used to analyze the process and stages of the diffusion and innovation of drumblek art in the Bener community. This research shows that the art of drumblek through the formation of the B’CAD group as a forum to unite and resolve disputes that previously occurred between the residents of Bener Village. The process of diffusion of drumblek art innovations in Bener Village is a stage of the process of knowledge, persuasion, decision making, implementation and confirmation, after going through these stages a B’CAD group is then formed with all the consequences that result in it.

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Alkhateeb, Fadi M., Nile M. Khanfar, and David Loudon. "Physicians' Adoption of Pharmaceutical E-Detailing: Application of Rogers' Innovation-Diffusion Model." Services Marketing Quarterly 31, no. 1 (December 28, 2009): 116–32. http://dx.doi.org/10.1080/15332960903408575.

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Carrera Mora, Oscar Yahevh, Luis Fernando Villafuerte Valdés, Gracia Aida Herrera González, and Mónica Karina González Rosas. "IMPORTANCIA DE LA DIFUSIÓN DE LOS ELEMENTOS DEL MARCO LEGAL DEL E-GOBIERNO (IMPORTANCE OF DIFFUSION OF THE ELEMENTS OF THE LEGAL FRAMEWORK FOR E-GOVERNMENT)." Universos Jurídicos, no. 17 (November 5, 2021): 56–74. http://dx.doi.org/10.25009/uj.v0i17.2596.

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Resumen: Este estudio se basa en una reflexión teórica que se basa en comprender como el proceso de difusión de una innovación pudiese afectar la intención de uso de una plataforma web de e-servicios teniendo un efecto en la percepción de confianza y seguridad que tiene un ciudadano a partir de la ausencia de la difusión del marco legal. El análisis se basa en el enfoque teórico de Rogers (2003) a partir de la teoría de la difusión de la innovación (DOI), la cual permite explicar que la poca difusión que existe del marco legal de los e-servicios y la compleja accesibilidad a los reglamentos y/o normatividad de cada portal web que se tiene, reducen la intención de uso de estas tecnologías comprendidas como innovaciones. Implicando todo un proceso de comunicación del marco legal para mejorar la comprensión de los mecanismos para su posible adopción por parte de la ciudadanía. Abstrac: This study is based on a theoretical reflection based on understanding how the process of diffusion of an innovation could affect the intention to use an e-services web platform, influencing the perception of trust and security that a citizen has in the absence of the diffusion of the legal framework. The analysis is based on the theoretical approach of Rogers (2003) from the theory of the diffusion of innovation (DOI), which explains that the lack of diffusion of the legal framework of e-services and the complex accessibility to the regulations and/or standards of each web portal reduce the intention to use these technologies understood as innovations. This implies a whole process of communication of the legal framework to improve the understanding of the mechanisms for its possible adoption by the citizens.

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Walker, Judi, and Sue Whetton. "The diffusion of innovation: Factors influencing the uptake of telehealth." Journal of Telemedicine and Telecare 8, no. 3_suppl (December 2002): 73–75. http://dx.doi.org/10.1258/13576330260440934.

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summary The actual use of telehealth, particularly for clinical consultations, has in many cases been less than anticipated. The literature identifies a number of factors or barriers. These include legal issues, technical difficulties, time and convenience, cost and training/familiarity with the equipment. No single factor has been identified as being consistently present. Rogers’ diffusion of innovation theory suggests that organizational structures and cultures will affect health professionals’ perceptions of telehealth. The introduction of telehealth services affects existing work practices and workflows. We believe that it is necessary to develop strategies for the introduction of telehealth applications which take into account the idiosyncrasies of the health service sector, and the particular structures and cultures of individual organizations within that sector.

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Sutaryo, Sutaryo. "PENGARUH KARAKTERISTIK INOVASI TERHADAP ADOPSI TEKNOLOGI INTERNET OLEH USAHA KECIL DAN MENENGAH (UKM)." EKUITAS (Jurnal Ekonomi dan Keuangan) 8, no. 2 (January 13, 2017): 290. http://dx.doi.org/10.24034/j25485024.y2004.v8.i2.2368.

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The adoption of information technology represents a problem of magnitude to small and medium-sized enterprises (SMEs). Situation that they are facing is different from larger corporations, making technology adoption behavior different from them. This study surveys the acceptance of small and medium-sized enterprises (SMEs) at Sidoarjo East Java to the adoption of internet technology. Using a portion of Rogers' model and uncertainty attribute of innovation diffusion as the framework and treating internet technology as a form of new innovation, we analyze factors affecting internet technology adoption.A multiple regression analysis is carried out, with the five characteristics of innovation highlighted by Rogers and uncertainty attribute proposed by Frambach and Schillewaert to determine factors that affect the willingness to adopt. Of the six factors affecting adoption of Internet technology by SMEs, only trialability appear unsignificant, with the overall regression explaining around 60, 7% of willingness to adopt. Relative advantage attribute bring the most contribution in explanation willingness to adopt by SMEs about 35,5%.

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Wiryany, Detya, and Tiarani Vidia Pratami. "Kekuatan Media Baru Youtube Dalam Membentuk Budaya Populer." ArtComm : Jurnal Komunikasi dan Desain 2, no. 02 (November 5, 2019): 25–30. http://dx.doi.org/10.37278/artcomm.v2i02.199.

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Technology has never ceased to grow through time. The development itself giving a chance to new media such as Youtube to grow rapidly. Youtube is one of the largest social media that we had now. Popular culture was born from YouTube, and it’s so quickly spread by anyone who does. The Innovation Diffusion Theory developed by Everett Rogers describes how new ideas and technologies spread in culture. Basically, the Innovation Diffusion Theory explains the process of how innovation is delivered through certain channels all the time to the people from the social system. The most obvious impact that we can see today was the number of famous people that came from YouTube

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Grover, Purva, Arpan Kumar Kar, and Marijn Janssen. "Diffusion of blockchain technology." Journal of Enterprise Information Management 32, no. 5 (September 4, 2019): 735–57. http://dx.doi.org/10.1108/jeim-06-2018-0132.

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Purpose Although blockchain is often discussed, its actual diffusion seems to be varying for different industries. The purpose of this paper is to explore the blockchain technology diffusion in different industries through a combination of academic literature and social media (Twitter). Design/methodology/approach The insights derived from the academic literature and social media have been used to classify industries into five stages of the innovation-decision process, namely, knowledge, persuasion, decision, implementation and confirmation (Rogers, 1995). Findings Blockchain is found to be diffused in almost all industries, but the level of diffusion varies. The analysis highlights that manufacturing industry is at the knowledge stage. Further public administration is at persuasion stage. Subsequently, transportation, communications, electric, gas and sanitary services and trading industry had reached to the decision stage. Then, services industries have reached to implementation stage while finance, insurance and real estate industries are the innovators of blockchain technologies and have reached the confirmation stage of innovation-decision process. Practical implications Actual implementations of blockchain technology are still in its infancy stage for most of the industries. The findings suggest that specific industries are developing specific blockchain applications. Originality/value To the best of the authors’ knowledge this is the first study which is using social media data for investigating the diffusion of blockchain in industries. The results show that the combination of Twitter and academic literature analysis gives better insights into diffusion than a single data source.

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Beausoleil, Angele Marie. "Revisiting Rogers: the diffusion of his innovation development process as a normative framework for innovation managers, students and scholars." Journal of Innovation Management 6, no. 4 (March 15, 2019): 73–97. http://dx.doi.org/10.24840/2183-0606_006.004_0006.

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Innovation has evolved into a core management function for most organizations. Business managers, regardless of sector or firm size, now require an understanding of and practice with the innovation process in order to develop a competence with navigating its winding path. To effectively engage in innovation processes, individuals require a distinct set of knowledge, aptitude and skills, or key innovative competencies. This paper examines a broad multidisciplinary literature focused on how innovation happens and the normative elements of its process, to inform key innovative competencies across its many phases. Through document analysis, empirically-based innovation process theories and models are examined with the intent to discover and propose a normative framework. The literature review provides a broad classification of innovation process descriptions and phases reflecting Everett Rogers’ original innovation-development process (IDP). Rogers’ IDP is proposed as a normative framework from which individual innovative competencies are identified and classified. Both the framework and typology are proposed as guides for innovation process understanding, participation and management. For innovation researchers and educators, this article suggests an innovation process normative framework may act as a recipe for further research on innovative competencies and innovation management pedagogical models.

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Woo, Michael Y., Jason R. Frank, and A. Curtis Lee. "Point-of-care ultrasonography adoption in Canada: using diffusion theory and the Evaluation Tool for Ultrasound skills Development and Education (ETUDE)." CJEM 16, no. 05 (September 2014): 345–51. http://dx.doi.org/10.2310/8000.2013.131243.

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ABSTRACTObjective:Point-of-care ultrasonography (PoCUS) first appeared in the 1980s in North America, but the extent of the diffusion of its adoption is unknown. We characterized early PoCUS adoption by emergency physicians in Canada and its barriers to use using Rogers' diffusion of innovations theory.Methods:We developed a questionnaire based on a pilot study and literature review to assess past, current, and potential use of PoCUS and potential barriers to adoption. A Dillman technique for electronic surveys was used for dissemination. Using Rogers' diffusion of innovations theory, we developed and validated the Evaluation Tool for Ultrasound skills Development and Education (ETUDE). ETUDE scores allowed categorization of respondents into innovators, early adopters, majority, and nonadopters. Descriptive statistics, correlations, and x2statistics were used to analyze the data.Results:The 296 respondents (36.4% of 814 surveyed) had a median age of 40 and were 72.5% male. Adoption scores using ETUDE revealed nonadopters (18.8%), majority (28.7%), early adopters (34.5%), and innovators (18.0%). Respondents endorsed “always” using PoCUS currently and in the future for focused assessment with sonography in trauma (FAST) (current 41.8%/future 88.4%), first trimester pregnancy (current 23.3%/future 73.7%), suspected abdominal aortic aneurysm (current 32.7%/future 92.6%), basic cardiac indications (current 30.7%/future 87.5%), and central venous catheterization (current 17.0%/future 80.3%). Several barriers to PoCUS were identified for part-time emergency physicians and those working in inner-city/urban/suburban settings.Conclusion:This is the first study to determine the state of adoption and barriers to the introduction of PoCUS in Canadian emergency medicine practice. The novel validated ETUDE instrument should be used to evaluate the uptake of PoCUS over time.

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SKIPPER, JOSEPH B., JOE B. HANNA, and CASEY G. CEGIELSKI. "Supply Chain Contingency Planning and Firm Adoption: An Initial Look at Differentiating the Innovators." Transportation Journal 48, no. 2 (2009): 40–62. http://dx.doi.org/10.2307/25702522.

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Abstract This research strives to identify key differentiating characteristics of firms adopting a supply chain contingency planning process from those that do not adopt. The researchers base their model on Rogers' innovation diffusion variables and supplement the model with additional variables of interest. Results of the research allow the researchers to propose a model of adoption. The results help the authors identify key predictor variables and significantly enhance the level of understanding of the adoption of supply chain contingency planning processes.

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SKIPPER, JOSEPH B., JOE B. HANNA, and CASEY G. CEGIELSKI. "Supply Chain Contingency Planning and Firm Adoption: An Initial Look at Differentiating the Innovators." Transportation Journal 48, no. 2 (2009): 40–62. http://dx.doi.org/10.5325/transportationj.48.2.0040.

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Abstract This research strives to identify key differentiating characteristics of firms adopting a supply chain contingency planning process from those that do not adopt. The researchers base their model on Rogers' innovation diffusion variables and supplement the model with additional variables of interest. Results of the research allow the researchers to propose a model of adoption. The results help the authors identify key predictor variables and significantly enhance the level of understanding of the adoption of supply chain contingency planning processes.

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MOSELEY, STEPHEN F. "Everett Rogers' Diffusion of Innovations Theory: Its Utility and Value in Public Health." Journal of Health Communication 9, sup1 (January 2004): 149–51. http://dx.doi.org/10.1080/10810730490271601.

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Pashaeypoor, Shahzad, Tahereh Ashktorab, Maryam Rassouli, and Hamid Alavi-Majd. "Predicting the adoption of evidence-based practice using “Rogers diffusion of innovation model”." Contemporary Nurse 52, no. 1 (February 2016): 85–94. http://dx.doi.org/10.1080/10376178.2016.1188019.

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I Gst. Ngr. Agung Krisna Aditya. "Difusi Inovasi Metode Pembayaran Quick Response Code Indonesian Standard oleh Bank BPD Bali." Jurnal Multidisiplin Madani 2, no. 7 (July 31, 2022): 3323–36. http://dx.doi.org/10.55927/mudima.v2i7.809.

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Efforts to diffuse the innovation of the quick response Indonesian standard (QRIS) payment method by Bank BPD Bali as one of the BUMD Banks in Bali Province. The Diffusion Theory of Innovation from Everett M. Rogers provides a novelty of theoretical analysis, especially the Sociology of Communication. The research was conducted using structured interviews, non-participatory documentation and documentation. Research conducted from November 2021 to July 2022 resulted in the findings of the QRIS innovation diffusion process adjusting to customer acceptance, characteristics of merchants and the heterogeneous community in Bali Province. The process of diffusion of innovation starts from the needs, experience and knowledge considering the advantages and disadvantages in determining decisions. The decision to choose or not to use QRIS is determined by the confirmation of the decision considerations. The differences in QRIS adopters are divided into innovators, early adopters, early majority, late majority and laggards.

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Uskali, Turo, Ville Manninen, Pasi Ikonen, and Jere Hokkanen. "Diffusion of Drone Journalism: The Case of Finland, 2011–2020." Media and Communication 8, no. 3 (July 27, 2020): 75–84. http://dx.doi.org/10.17645/mac.v8i3.3075.

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This article details Finnish news organizations’ adoption of drones for journalistic purposes from 2011 to 2020. The theoretical starting point of the article is Rogers’ (1962) diffusion of innovations theory, which explains how new ideas and technologies spread in societies. The main empirical data for the study were derived from a phone survey conducted among the 80 most popular newspapers in Finland. The findings reveal that drone journalism in Finland has already diffused from a few pioneering organizations to a large number of newsrooms, including regional, mid-sized newspapers. Most of the newspapers are either using in-house drones, buying commissioned images, or using both strategies. The frequency of use was found to be much higher for those newsrooms using their own drones. Finally, the article ponders possible explanations for different trajectories in the adoption of drones in various countries based on the Finnish case

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Isra, Aulia Rachmi, and Mohammad Muktiali. "Analisis Difusi Inovasi pada Inovasi Produk Batik di Kelurahan Jenggot Dalam Mendukung Upaya Pengembangan Ekonomi Lokal Kota Pekalongan." Teknik PWK (Perencanaan Wilayah Kota) 11, no. 2 (June 6, 2022): 148–70. http://dx.doi.org/10.14710/tpwk.2022.29672.

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The development of innovation in a particular area cannot be separated from the diffusion of innovation. This diffusion of innovation occurs because of the process of social interaction by related actors in the region. This is explained by Rogers (2003), that the diffusion of innovation is a process when innovation is communicated or mentioned through certain channels for a certain period of time to members of a social system, which then becomes part of the social system. With the diffusion of innovation, an area will experience changes in certain conditions due to the impact of emerging innovations, which will play a role in developing the character of the region. As happened in Jenggot village, the emergence or entry of new patterns influenced changes in the market in terms and the direction of development of the existing batik patterns in the village. Batik patterns that were originally patterned and impressed monotonously with plant and animal-based patterns are becoming more contemporary and fashionable. The diffusion of innovation helps business owners either directly or indirectly in promoting their batik products. Thus increasing the value of the batik product itself.

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Bhattacharya, Mithu. "A conceptual framework of RFID adoption in retail using Rogers stage model." Business Process Management Journal 21, no. 3 (June 1, 2015): 517–40. http://dx.doi.org/10.1108/bpmj-06-2014-0047.

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Purpose – The purpose of this paper is to develop a research model that links Radio Frequency Identification (RFID) adoption issues with established technology adoption stages suggested by Rogers theory of diffusion of innovation (DOI). The research model proposed in this study suggests that RFID adoption in retail industry progresses in different stages. Design/methodology/approach – A mixed methodological perspective is used in this research. Key research issues were identified from a systematic content analysis of trade and academic articles in the first phase. Findings – Data collected from Delphi study is used to test the propositions. It confirms key research issues associated with different adoption stages. Finally, it also confirms that the stages (knowledge, persuasion, design and decision, and implementation) influence RFID adoption decision. Research limitations/implications – The propositions that are developed in the model can be used in future studies for further development. More relevant items should be added to measure each variable. It can also allow future researchers and practitioners to take a more comprehensive approach to look at RFID adoption process as a whole and thus focus on relevant issues across all adoption stages. Practical implications – The research model can provide insights to practitioner to make more informed RFID adoption decisions. Originality/value – Rogers stage model is very important for technology diffusion studies but is not explored much. There is limited research on understanding the overall RFID adoption process. This study is an attempt to bridge that gap and draw attention toward future research in that direction. The research model that is developed links RFID research with existing research in the area of DOI.

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Lovejoy, Travis I., Petya D. Demireva, Jessica L. Grayson, and John R. McNamara. "Advancing the practice of online psychotherapy: An application of Rogers' diffusion of innovations theory." Psychotherapy: Theory, Research, Practice, Training 46, no. 1 (March 2009): 112–24. http://dx.doi.org/10.1037/a0015153.

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Kohles, Jeffrey C., Michelle C. Bligh, and Melissa K. Carsten. "The vision integration process: Applying Rogers’ diffusion of innovations theory to leader–follower communications." Leadership 9, no. 4 (October 7, 2013): 466–85. http://dx.doi.org/10.1177/1742715012459784.

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Rizan, Chantelle, Jaewon Phee, Charlotte Boardman, and Goldie Khera. "General surgeon's antibiotic stewardship: Climbing the Rogers Diffusion of Innovation Curve-Prospective Cohort Study." International Journal of Surgery 40 (April 2017): 78–82. http://dx.doi.org/10.1016/j.ijsu.2017.02.040.

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