Web sites for every department course

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.

Open Educational Resources (OER) are teaching, and research resources provided under the Creative Commons (CC) licenses and can be freely used, shared, and modified. However, OER adoption is not widespread, and various barriers remain in the way of its growing emphasis. This article is aimed to investigate OER adoption in higher institutions by using Rogers’ Diffusion of Innovation (DOI) theory. 422 responses to an online survey from faculty are gathered and analyzed, where adaptive attributes of DOI are adopted. The results of the descriptive method confirmed that relative advantage has a positive impact on faculty OER adoption. Indeed, positive impacts of observability and complexity are also shown. Ultimately, the findings from the structural model used, indicated that there is a positive correlation between trialability and respectively complexity and compatibility. Whereas relative advantage of OER impacts positively complexity and negatively compatibility. This study showed that it is not enough that faculty agree on OER benefits for teaching and research, the OER adoption rate must increase. Decision-makers in higher institutions are asked to perform additional OER initiatives to overcome challenges related to OER trialability, complexity, and compatibility.

PurposeThis study aims to explore virtual site visit adoption patterns of US convention facilities based on the diffusion of innovation (DOI) theory. Additionally, it offers predictive models of virtual site visit tool adoption by applying probability distributions.Design/methodology/approachThe study used content analysis of 369 US convention facility websites. Data collected from the websites recorded the presence or absence of the following tools facilitating virtual site visits: photos, floor plans, videos, 360-photos, 360-tours and virtual reality (VR)-optimized tours. The website content analysis was followed by application of the DOI theory and predictive modeling.FindingsAccording to the DOI theory, the use of VR-optimized tours (4.34%) is still in the early adoption stage, followed by 360-degree tours (12.74%) and standard videos (17.89%) that have transitioned into the early majority stage of adoption and photos (72.09%) and floor plans (84.82%) that represent a late majority stage. Three predictive models with shifted Gompertz, Gumbel and Bass distributions forecasted that convention centers would achieve a 50% adoption rate of 360-degree tools (photos and tours) in 4.67, 4.2 and three years, respectively. The same models predicted a 50% adoption rate of 360-degree tours in 6.62, 5.81 and 4.42 years.Practical implicationsThe research indicates that most US convention facilities have not taken full advantage of their websites as a sales and marketing tool.Originality/valueThis study is the first comprehensive attempt to evaluate the adoption rate of VR and other technologies enabling virtual site visits by using content analysis of US convention facility websites. Additionally, it is the first attempt to apply probability distributions to predict technology adoption in the convention industry context.

Hepatitis is a serious global health issue. To reduce mortality, early screening for liver disease has been recommended in community health policies, particularly for asymptomatic individuals. This study explored the link between liver function biomarkers and how quickly people adopt a new multiple cancer screening program, using the diffusion of innovation (DOI) Theory. The study included 57,939 participants from a community-based screening program in Keelung, Taiwan, between January 1, 2001, and December 31, 2010. Data on demographics and lifestyle habits were collected through questionnaires, and blood samples were analyzed to measure biomarkers related to liver function. On average, participants took 3.48 years to accept the new screening program. People with healthier lifestyles, such as those who drank alcohol less often, were more likely to adopt the screening early. Additionally, those with higher levels of liver-related biomarkers like albumin, total protein, and ALT joined even sooner. In conclusion, using DOI theory, the study found that personal lifestyle and liver function play a role in how quickly individuals adopt a new screening system. These insights can help healthcare providers improve early screening efforts, particularly for people at risk of hepatitis and liver cancer, potentially reducing related deaths.

This longitudinal study explores the adoption process of new teaching methods in U.S. secondary education from 2010 to 2022, utilizing Rogers’ Innovation Diffusion Theory as a theoretical framework. The research investigates the dynamics of innovation diffusion by analyzing the roles of adopter categories, such as innovators, early adopters, early majority, late majority, and laggards. The study delves into factors influencing adoption, including the perceived relative advantage of innovations, compatibility with existing practices, and the impact of interpersonal networks. The findings contribute valuable insights into the nuanced landscape of educational innovation, emphasizing the pivotal role of early adopters and the applicability of Rogers’ theory in understanding the complex adoption process. The implications for educators, policymakers, and researchers are discussed, along with recommendations for future research in the field of innovation diffusion in secondary education.

In 1962, Everett M. Rogers coined and developed his own theory of Rogers’ diffusion of innovation. The last decades have witnessed the fact that innovation has come to be very prominent as a means of economic convergence. Due to the set of the flow data through the amount of Sino inward and outward foreign direct investments remitted by dint of the table between the years of 1980 and 2021, the present research study will analyze the role of inward and outward foreign direct investors-led diffusion of innovation in Sino economic convergencedivergence in light of Rogers’ diffusion of innovation theory and economic convergence-divergence theory in the context of mathematics.

Taking advantage of Rogers' Diffusion of Innovations Theory, which suggests that adoption of a specific innovation is critically influenced by the way the adopters receive it, this article aims at presenting the implementation process of such an innovation in the form of Computer Assisted Language Learning (CALL) in an English as a Foreign Language teaching context. Conceptualised as interview research, the study used an open‐ended protocol and spontaneously generated probes to seek teachers' profiles involved in the CALL uptake. Applying Hagner and Schneebeck's adaptation of Rogers' ‘adopters’ characterisation scheme, it was discovered that risk‐aversive teachers dominated the group of teachers involved in the implementation. This article also defines some of the strategies employed during the implementation process to meet the teachers' needs, and encourage their involvement in the actual CALL uptake.

The development of artificial intelligence (AI) has created new opportunities in the world of higher education, especially in supporting a more effective and efficient learning process. Nonetheless, the adoption of AI by lecturers, especially in business majors, still faces various challenges. Some lecturers doubt the advantages of AI, face difficulties in its use, feel that AI does not match the characteristics of the courses being taught, or are burdened by the cost and limitations of institutional support. Therefore, this study aims to analyze the internal and external factors that influence lecturers' intention to adopt AI in learning, focusing on the utilization of AI platforms such as OpenAI ChatGPT, Google Gemini, and Microsoft Copilot. This research combines three main theoretical frameworks, namely the Diffusion of Innovation (DoI), Technology-Organization-Environment (TOE) Framework, and Task-Technology Fit (TTF). This study uses a quantitative approach with a survey method. The data was collected through a Google Form questionnaire that was distributed to business lecturers at various universities in Indonesia. The number of respondents analyzed was 417 people. Data analysis was carried out using the Partial Least Squares - Structural Equation Modeling (PLS-SEM) method through SmartPLS software version 4. The results show that factors in the TOE framework, such as technological context, organization, and environment, have a significant effect on the perception of task-technology fit. Furthermore, TTF has a positive effect on AI adoption intentions. Additionally, the variables in DoI theory —namely, relative advantage and compatibility —have a positive effect on adoption, while complexity has a negative effect. The findings also show that gender moderates the relationship between complexity and adoption intention, as well as between compatibility and adoption intention. This means that the influence of the perception of the complexity and suitability of technology on AI adoption differs between male and female lecturers

Behavioral theory and transportation cycling research: Application of Diffusion of Innovations

PurposeThis study aims to study the factors that drive non-users of digital banking services rendered by Islamic banks in Malaysia towards their adoption of digital services in the banking 4.0 era using the innovation diffusion theory (IDT), also known as the diffusion theory of innovation (DOI).Design/methodology/approachIDT theory and literature on intention to adopt digital bank services were reviewed in a bid to contribute to the factors that drive non-users to adopt digital banking.FindingsThe review suggests that the adoption of digital banking is determined not only by perceived relative advantage, and perceived compatibility but also by additional factors in IDT theory, which are technology self-efficacy and perceived expected benefits. On the contrary, perceived complexity does not turn out to be a factor of digital banking adoption.Research limitations/implicationsConsidering this paper in terms of the limited scope of the theory rendered and the context, it should be given proper attention when interpreting future outcomes when further investigations are brought into play in terms of population and sampling method.Practical implicationsThis paper serves as a guide to ensure the better planning of non-users’ adoption factors related to Islamic bank customers in both theory and practice.Originality/valueDOI is extended in the context of digital banking, as evidenced by empirical results, and literature shows that IDT integrated with the technology self-efficacy model is yet to be proposed in the digital banking adoption by Islamic bank customers. Additionally, variables, namely, perceived expected benefits and technology self-efficacy, are proposed in IDT’s existing model. Current findings will therefore serve as a relevant reference for digital technology specialists, policymakers, Islamic banks’ IT managers, academicians and future researchers.

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.

The higher education sector is viewed globally as a contributor to the advancement of society. This is in large part because the innovations that it produces can contribute to transformation of national and regional economies. In education specifically, the transformative power is often guided by government policies enacted at various levels in society. This chapter explores the nexus of higher education, policies, and innovation within the Southern African Development Community (SADC) region. National Information and Communication Technology (ICT) policies governing or impacting education are explored through the lens of Everett Rogers’ Diffusion of Innovations theory. The argument being promulgated, in this chapter, is that internal and external policies impact higher education systems and influence innovation. However, while at the basic education level, attention has been paid to the importance of ICT in schools, there appears to be very little in ways of policies guiding ICT implementation and use at universities in the countries missing a word here explore.

The aim of this paper is to illustrate the diffusion of e-government in urban Australia. The theory of innovation diffusion is used to guide the research accomplished via a survey method. Research findings included in this paper highlight the use of E-Gov service at three levels of administration by urban citizens in Australia and the usefulness of bundled services offering a one stop shop for citizens. Findings discussed in this paper also highlight that factors such as cost and time saving, convenience and online tracking facility significantly impact the adoption of E-Gov services by citizens. It also suggests that the level and frequency of E-Gov service use and access is dependent on the regularity of its need by citizens. Access to technology, socio-economic status and level of education also influence E-Gov adoption by citizens.

This empirical study aims to identify the factors influencing the use of Moodle as a Learning Management Systems (LMS) in the academic context. To fulfil this objective, a quantitative study was carried out through a questionnaire directed to Portuguese university students, which obtained a total of 631 valid answers. The results obtained, based on structural equation modelling, show that the characteristics of Moodle LMS, proposed by Innovation Diffusion Theory and Personal Innovativeness in Information Technology influence the use of this tool positively. This research contributes to advancing the literature on this subject, and for practice the importance of elaborating student-centred LMS is highlighted. These and other implications and suggestions for future research are also presented.

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.