13 pages., Via online journal., This study examined adoption of Information and Communication Technologies (ICTs) by
agricultural science and extension teachers in Abuja, Nigeria. Specifically, the objectives are to:
identify the background and demographic characteristics of agricultural science and extension
teachers in the study area; examine the factors influencing adoption of ICTs by respondents and
determine the challenges or constraints militating against adoption of ICTs by respondents in the
study area. Data were collected from 60 purposively selected agricultural science and extension
teachers in the study area. Data were analyzed using descriptive statistics SPSS 19.0, Likert scale,
t-test and Logit model. Ages, teachers’ experience, access to ICTs were significant factors
influencing adoption of ICTs by respondents at 1% probability level. Teachers’ attitude, teachers’
awareness significantly influences adoption of ICTs by respondents at 5% probability level. Word
processors are perceived useful in setting tests and examination question papers, while, photocopy
machine was perceived ease to use to make copies of teaching materials. Access to appropriate
ICTs equipment and lack of infrastructure such as irregular electricity supply are the major
challenges. The study recommends easy access, awareness and use of ICTs by instructors and
regular supply of electricity to improve and stimulates adoption of ICTs by respondents.
5 pages., via online journal., In India sustaining dairy farming as a rural livelihood and to meet the growing demand of milk, necessitates development and dissemination of technology for improving the farm’s output. There is also a need to understand how far existing innovations are adopted by farmers and factors influencing adoption and/or rejection. Hence, the factors that influence adoption and the extent of adoption were consolidated from past research using meta analysis and other techniques. It was found that at large-level farmer’s knowledge (true effect size r value +0.64) and at medium-level (true effect size r value ranging from +0.32 to +0.47) attitude, risk-taking behaviour and economic motivation, milk production and sales, education, extension agency contacts and mass media exposure influenced adoption of dairy innovation. Further, along with the above factors poor innovation attributes were limiting adoption to 55%.
Authors identify urgent need to address the concerns of rural consumers and involve the available constitutional mechanism of Panchayati Raj institutions.
