Rogers’ Diffusion of Innovation Model in Action: Individual Innovativeness Profiles of Pre-service Teachers in Turkey / Rogersov model difuzije inovacije u praksi: pojedinačni profili inovativnosti budućih nastavnika u Turskoj

2015 ◽  
Vol 17 (2) ◽  
Author(s):  
Ismail Yuksel
Keyword(s):  
Diffusion Of Innovation ◽  
Innovation Model ◽  
Individual Innovativeness

Applying Behavioral Theories to a Social Marketing Campaign

2007 ◽  
Vol 13 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Jami L. Fraze ◽  
Maria Rivera-Trudeau ◽  
Laura McElroy
Keyword(s):  
Diffusion Of Innovation ◽  
Social Marketing ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Hiv Transmission ◽  
Social Marketing Campaign ◽  
Prevention Messages ◽  
Behavioral Theories ◽  
The Social ◽  
Innovation Model

In 2003, the Centers for Disease Control and Prevention began developing a social marketing campaign, Prevention IS Care, to encourage physicians to routinely screen HIV-infected patients for HIV transmission behaviors and to deliver HIV prevention messages. The planning team selected behavioral theories on the basis of formative research conducted during 2004–2005 and integrated these theories into the social marketing framework. The team decided to use the diffusion of innovation model and social cognitive theory. They selected as their target audience primary care and infectious disease physicians in private practice who deliver care to 50 or more persons living with HIV (PLWH). The social marketing framework, the diffusion of innovation model, and the social cognitive theory facilitated the development of this audience-centered campaign and provided elements that may encourage physicians to adopt the innovation: routine screening of HIV-infected patients for HIV transmission behaviors and delivery of HIV prevention messages during office visits.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI ADOPSI TWITTER ADVERTISING PADA SEGMEN MUDA USIA 15 – 24 TAHUN WILAYAH JABODETABEK (JAKARTA, BOGOR, DEPOK,TANGGERANG, BEKASI) TAHUN 2011

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Edith Lavindri ◽  
Pepey Riawati Kurnia
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Model Theory ◽  
Reasoned Action ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Innovation Model ◽  
Acceptance Model

Teori dan Model Theory of Reasoned Action (TRA) dari Fishbein & Ajzen (1975), Theory Planned Behavior (TPB) dari Ajzen (1991), Technology Acceptance Model (TAM) dari Davis (1989) dan Diffusion of Innovation Model (DOI) dari Rogers (1983 dalam Rogers, 2003) sering digunakan oleh banyak peneliti untuk menemukan faktor – faktor yang mempengaruhi adopsi yang berkaitan dengan teknologi. Pada penelitian ini keempat teori dan model ini dikombinasikan guna menjelaskan faktor – faktor yang mempengaruhi adopsi Twitter advertising pada segmen muda usia 15 – 24 tahun. Sebanyak 389 penguna Twitter menjadi responden penelitian ini, dimana 5 diantaranya diwawancara untuk mendapatkan pemahaman mendalam akan adopsi Twitter advertising. Hasil analisis menunjukkan bahwa terdapat attitude terhadap Twitter advertising, subjective norm terhadap Twitter advertising, perceived usefulness terhadap Twitter advertising berpengaruh dan signifikan terhadap intention to adopt Twitter advertising.

scholarly journals E-commerce adoption in Malaysian Small and Medium Enterprises Practitioner Firms: A revisit on Rogers' model

2013 ◽  
Vol 85 (4) ◽  
pp. 1593-1604 ◽  
Author(s):  
MEHDI M. POORANGI ◽  
EDWARD W.S. KHIN ◽  
SHOHREH NIKOONEJAD ◽  
ARASH KARDEVANI
Keyword(s):  
Diffusion Of Innovation ◽  
Response Rate ◽  
Small And Medium Enterprises ◽  
Survey Methods ◽  
Relative Advantage ◽  
Five Factors ◽  
Innovation Model ◽  
Different Dimensions ◽  
Medium Enterprises ◽  
A Company

The current climate of business necessitates competitions that are often tough and unpredictable. All organizations, regardless their size and scope of operation, are facing severe competitive challenges. In order to cope with this phenomenon, managers are turning to e-commerce in their respective organizations. The present study hinges upon exploring and explaining the different dimensions of the adoption of e-commerce among Small and medium enterprises, based on the Five Factors of Diffusion of Innovation Model derived by Rogers. In this study, however, we employed the survey methods. A questionnaire was distributed to 1,200 managers and employees in the manufacturing, service and agricultural sectors by email; with a response rate of 10%. The results gleamed from this study posits that relative advantage is influential vis-à-vis e-commerce adoption. Trialability and Observability factors affect the level of confidence of management, which in turn, influences e-commerce adoption. Meanwhile, the existing culture of a company affects the resistance of employees, which in turn negatively effects the e-commerce adoption, while complexity does not significantly influence the e-commerce adoption.

scholarly journals An Investigation on the Adoption of Electronic Commerce Systems for the Operators of Construction Companies

2020 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Nafisa Bello Issa ◽  
Angela Siew Hoong Lee
Keyword(s):  
Construction Industry ◽  
Diffusion Of Innovation ◽  
Technological Factor ◽  
Construction Workers ◽  
Relative Advantage ◽  
Construction Companies ◽  
The World ◽  
Innovation Model ◽  
Internal And External Factors

E-commerce is emerging and growing in all kinds of businesses and industries over the world especially in the construction industry. This research focuses on the adoption of business-to- business kind of e-commerce in construction industry. This research aims to identify the motivational and barrier factors of the construction workers in influencing the adoption of e- commerce specifically in the construction industry world. As part of the research, a multinational company, which produces tools for the construction industry, will be used as a case study to look into how the customers of this company are adopting e-commerce. This research uses the Diffusion of Innovation model as the based research framework to understand the factors that explain the rate of adoption and how these factors are influencing the adoption in the construction industry. Other internal and external factors of companies such as the organizational factor, technological factor digital readiness will also be looked into to understand their influence as well when it comes to adoption of e-commerce. Data collection is done by distributing questionnaires to the related participants in the construction industry. Findings from this study provides insights on the factors of adoption by applying the diffusion of innovation model and recommendation of strategies for this industry to address the problem of low adoption of e-commerce among construction workers in the construction industry. This research showed that relative advantage, compatibility, complexity, Trialability, organizational readiness and trust are significant factors leading to the adoption of e-commerce systems. Culture as well as technological and digital readiness were found to be insignificant. Overall, the study’s findings enrich the discourse related to the adoption of e-commerce systems by construction companies in Asia and other parts of the world. The findings will be relevant for construction companies around the world planning to introduce or improve the e-commerce adoption of the customers. The study’s findings could also be relevant for future analysis of e-commerce adoption.

E-Governance Adoption

2012 ◽  
pp. 99-117
Author(s):  
Ioannis Karavasilis ◽  
Kostas Zafiropoulos ◽  
Vasiliki Vrana
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Perceived Risk ◽  
Online Survey ◽  
Relative Advantage ◽  
Policy Makers ◽  
Personal Innovativeness ◽  
Governance Practices ◽  
Innovation Model ◽  
Acceptance Model

This chapter introduces Technology Acceptance Model, the Diffusion of Innovation model and constructs of trust, risk and personal innovativeness as a means of studying e-governance adoption. As governments around the world are moving forward in e-governance development it is important to identify factors that determine acceptance under specific circumstances prevailing in each country and give strategic insight to increase the usage of e-governance services. Primary and secondary education teachers responded to an online survey resulting to 230 questionnaires. A SEM validation of the proposed model reveals that Personal Innovativeness, Compatibility and Relative advantage are stronger predictors of intention to use, compared to trust, and perceived risk. The findings give some clues and directions for planning effective e-governance practices and could assist policy-makers with the first guidelines about which areas should be improved in order to enhance e-governance services.

FinTech banking industry: a systemic approach

foresight ◽  
2017 ◽  
Vol 19 (6) ◽  
pp. 590-603 ◽  
Author(s):  
Jarunee Wonglimpiyarat
Keyword(s):  
Diffusion Of Innovation ◽  
Financial Services ◽  
Research Study ◽  
Technology Development ◽  
Banking Industry ◽  
Content Type ◽  
Innovation Model ◽  
Systemic Innovation ◽  
And Diffusion

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.

scholarly journals Coding communications across time: Documenting changes in interaction patterns across adopter categories

2017 ◽  
Vol 5 (4) ◽  
pp. 441-460
Author(s):  
KAR-HAI CHU ◽  
STEPHANIE R. PITTS ◽  
HEATHER WIPFLI ◽  
THOMAS W. VALENTE
Keyword(s):  
Tobacco Control ◽  
Diffusion Of Innovation ◽  
Goodness Of Fit ◽  
World Health ◽  
Interaction Patterns ◽  
International Treaty ◽  
Word Use ◽  
Chi Squared ◽  
Innovation Model ◽  
Adopter Categories

AbstractGLOBALink, a large online network of tobacco control professionals, was active in the promotion of the World Health Organization's Framework Convention on Tobacco Control treaty, an international treaty aimed at reducing the global burden of tobacco-related death and disease. We examined and compared the roles that different countries served in the GLOBALink community during FCTC negotiation and ratification. Previous studies of FCTC ratification found the process adhered to a diffusion of innovation model (Valente et al., 2015). We followed that work by conducting content analyses of discussion messages posted by GLOBALink members representing different countries. Based on the time when they ratified the FCTC, each country was labeled by one of the four adoption stages of the diffusion model and we investigated the amount of shared word use between the different stages. A goodness-of-fit chi-squared test indicated that content was not shared in an expected manner between stages (χ2 = 11,856.45, N = 51,447, p < 0.001). A deeper look at the specific words shared between countries within and between adoption stages provided insight into how interactions between certain countries might have served to support the ratification process.

scholarly journals Creating a virtual learning community with hub architecture: CLEERhub as a case study of user adoption

2011 ◽  
pp. 665-681
Keyword(s):  
Learning Community ◽  
Diffusion Of Innovation ◽  
Virtual Learning ◽  
Unexpected Finding ◽  
Virtual Learning Community ◽  
User Adoption ◽  
Group Assignment ◽  
Innovation Model ◽  
Student Reactions ◽  
Engineering Education Research

The research aim of this article is to investigate the adoption patterns of HUB platforms that create and support virtual learning communities (VLC). The adoption patterns of one particular HUB called the Collaboratory for Engineering Education Research or CLEERhub, is presented as an example of how HUBs may be used as VLCs. After explaining the affordances of the HUB architecture, the article uses two approaches to discuss the adoption of CLEERhub by users. First, the authors link the five stages of Rogers’ Diffusion of Innovation model with various CLEERhub user metrics. The resultant mapping suggests that CLEERhub users are primarily in early stages of adoption. This is not an unexpected finding given that CLEERhub has been recently created. The second approach to studying adoption investigates the experience of a group of college students who used CLEERhub to aid them in completing a group assignment. A CLEERhub Usage Survey was developed and implemented during the last part of the semester to collect information about students’ experience with CLEERhub. Student reactions to CLEERhub were generally positive. After the two approaches are presented, the paper connects the approaches by speculating on how student experience (adoption approach 2) might be mapped to the five stages of Rogers’ model (adoption approach 1). The paper ends with considerations and suggestions for best practices.

Sign in / Sign up

Export Citation Format

Share Document