Diffusion of innovations

About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.

Influential factors in the adoption and implementation of educational technology at the University of Liverpool

Abstract: This research explored the factors perceived to be influential for members of staff at the University of Liverpool (UoL) to adopt and implement educational technologies. The research was based in practice and the UoL examined as a case study. The theoretical framework was based upon innovation research and informed by Rogers’ (2003) Diffusion of Innovations (DOI), and Ely’s (1999) eight conditions of implementation. Semi-structured interviews were conducted with sixteen members of staff. Thematic analysis of the interview transcripts complemented an analysis of relevant UoL documentation. I did not find evidence for five categories of adopters as defined in the DOI. Instead I proposed three categories: Enthusiasts, Pragmatists and Risk Aversives. These categories were not perceived to be static but varied as a result of contextual and individual factors. Participants’ perceptions of drivers and rationales were examined using Hannan’s (2005) concept of drivers for directed, guided and individual innovations. Directed institutional drivers were generally perceived to be lacking, though some faculty, school or departmental drivers were reported. Guided drivers were not reported. However, participants perceived certain general institutional activities to be drivers. I defined these as indirect drivers. Several individual drivers were reported including a perception of benefit, general interest and career benefit. Factors perceived to enable participants to utilise educational technologies effectively were split between the support available from central services and informal developments within faculties, schools and departments. The availability of accessible colleagues, or near peers, was reported as one of the most influential factors. My findings were contrasted with the innovation-decision process of Rogers’ (2003) DOI and Ely’s (1999) eight implementation conditions. A new model focused upon the importance of context was proposed. There are implications for how the UoL supports the adoption and implementation of educational technologies. Recommendations are made and areas for further research are identified.

Comparison of Diffusion in Telecommunications in the BRICS Economies

Abstract: This study examines and compares the growth of telecommunications in the BRICS economies using the Bass model for diffusion of innovations. The study proposes an extension of the Bass model, incorporating repeat purchase, network effects, and customer attrition. The results of the study indicate that the diffusion of telecommunications in the BRICS markets is predominantly due to pure imitation, repeat purchase, and network effects. The Chinese market is exceptional, in that it is affected by innovation, imitation, and network effects, but with seemingly unlimited market potential. The model can be extended further to examine the role of other external factors on the diffusion of telecommunications.

Making SPI Happen: The Roads to Process Implementation.

Abstract: Software Process Improvement (SPI) has been widely adopted by software organizations to enhance their capability to effectively deliver quality software. The approach has several positive merits. But many initiatives fail because the software processes are never adopted in practice. This paper offers a comparative analysis of the implementation strategies and outcomes of 18 SPI initiatives within Ericsson. The analysis draws upon concepts from the diffusion of innovations literature and leads to four different process implementation strategies – High Way, Country Road, Crossroads, and Dead End Street. These roads to software process implementation target different levels of practice and they rely on different mixtures of process push and practice pull. Our research suggests that the High Way with its combination of strong push and strong pull is the most promising road to implementation success, whereas the other roads imply serious barriers to success.

Information System (Is) Models: Technology as a Service for Agricultural Information Dissemination in Developing Countries (Uganda). A Systematic Literature Review

Abstract: 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.