14 pages., Via online journal., Green technology is the means of improving towards the rising environmental concern. The implication of green fertilizer technology (GFT) is the need for the modern development of environmentally friendly technology, also to increase the production level among all the agriculture crops. It is especially needed for paddy production, as it has always been considered as an important commodity because it is the main staple food for the nation. Paddy production in Malaysia using GFT allows for sustainable development and boosts the yield. Nevertheless, the adoption rate of GFT is unsatisfactory in most of the developing countries, including in Malaysia. The fact that the cost of production is considerably higher results in low-level perception regarding the adoption of GFT. Hence, the integration of communication and technology factors could become one of the main elements for the further development of the paddy sector in Malaysia. The overall objective of this research study will identify the factors that determine paddy farmer's adoption decision on GFT in Malaysia. To do so, a literature review was compiled on the topic of agriculture innovation-based adoption decision theories such as Diffusion of innovation (DOI), Theory of reasoned action (TRA), Theory of Planned Behavior (TPB) and Technology acceptance model (TAM) and communication channels to study paddy farmers' adoption decision of GFT. The results of the review revealed that this framework highlights adoption as an intricate behavior, interweaving aspects such as communication channels, socio-psychological and innovation attribute considerations. The conceptual framework illuminates the decision towards adoption as a self-motivated process, assumes a composite interaction among groups of variables coming from two different theories. The combination of DOI, TRA, TPB, TAM and communication channels overcome some limitations that arise when the only theory is used to examine the adoption decision among paddy farmers in Malaysia. Correspondingly, there has been limited empirical research done on the decision of adoption toward GFT use among paddy farmers in Malaysia.
15 pages., Via online journal., Preliminary results of a survey investigating individual well-being of residents in the
Great Barrier Reef region of Australia are presented. The well-being factors were
grouped into domains of: society, representing family and community issues; ecology, representing natural environment; and economy, dealing with economic issues
and provision of services. The relative perceived importance of factors was quantified, allowing for a creation of individual well-being functions. In the society domain,
family relations and health were identified as the most important contributors to
well-being. Water quality was the ecology domain factor that received highest
scores, and health services and income were the most important contributors to
the economic domain. The methodological approach used in this study has a potential to integrate ecological, social, and economic values of local people into
decision-making processes. The profiles of well-being thus generated would present
policymakers with information beyond that available from standard data sources.
9 pages., Article # 1RIB10, Via online journal., Millennials have different investing knowledge and behaviors than generations in the past. Moreover, as compared to baby boomers, millennials have more debt and less wealth to invest. We used current literature and information collected from Extension educators to explore the values, investing behaviors, learning styles, and loyalty attitudes of millennials. We also examined and evaluated investment resources that had been created or adapted by four Extension faculty members across the nation. A proposed framework with suggestions for future research is provided.
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%.
