5 pages., This research aimed to figure out the attitude and readiness of agriculture extension officers
in using the Information and Communication Technology. Data collection was done through a
survey with total sample 60 respondents. Data gained were primary data from questionnaire
filling by respondents who were all extension officers in Food Security and Extension
Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test. The results of Validity and Reliability Test gave a valid outcome with rcal >0,3 and reliability value of α >0,6 in all variables. Fishbein’s Attitude Model test in all variables showed an answer from neutral to very positive data. Linear Regression Test resulted in an
equation Y = -6,234+ 0,211 X1 + 0,213X2 + 0,550 X3 + 0,119 X4 + 1,252X5 + 0,665X6. The
value of determination coefficient (R2) was 0,816 which meant that variable variance of
Information and Communication Technology acceptance could be explained by data
variance of extension officers’ attitude and readiness (farmer readiness, extension officers readiness, infrastructure, management support, culture support) in values of 81,6%. In F test, Fcal was = 44,683 and was significant in p < 0,05, which meant that the effects of extension officers’ attitude and readiness to Information and Communication Technology acceptance.
Coggins, Sam (author), McCampbell, Mariette (author), Sharma, Akriti (author), Sharma, Rama (author), Haefele, Stephen (author), Karki, Emma (author), Hetherington, Jack (author), Smith, Jeremy (author), and Brown, Brendan (author)
Format:
Journal article
Publication Date:
2022-03-01
Published:
United States: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 204 Document Number: D12486
10 pages, Digital extension tools (DETs) include phone calls, WhatsApp groups and specialised smartphone applications used for agricultural knowledge brokering. We researched processes through which DETs have (and have not) been used by farmers and other extension actors in low- and middle-income countries. We interviewed 40 DET developers across 21 countries and 101 DET users in Bihar, India. We found DET use is commonly constrained by fifteen pitfalls (unawareness of DET, inaccessible device, inaccessible electricity, inaccessible mobile network, insensitive to digital illiteracy, insensitive to illiteracy, unfamiliar language, slow to access, hard to interpret, unengaging, insensitive to user's knowledge, insensitive to priorities, insensitive to socio-economic constraints, irrelevant to farm, distrust). These pitfalls partially explain why women, less educated and less wealthy farmers often use DETs less, as well as why user-driven DETs (e.g. phone calls and chat apps) are often used more than externally-driven DETs (e.g. specialised smartphone apps). Our second key finding was that users often made - not just found - DETs useful for themselves and others. This suggests the word ‘appropriation’ conceptualises DET use more accurately and helpfully than the word ‘adoption’. Our final key finding was that developers and users advocated almost ubiquitously for involving desired users in DET provision. We synthesise these findings in a one-page framework to help funders and developers facilitate more useable, useful and positively impactful DETs. Overall, we conclude developers increase DET use by recognizing users as fellow developers – either through collaborative design or by designing adaptable DETs that create room for user innovation.
Rizkiansyah, M. (author), Ariestyani, A. (author), and Yunus, U. (author)
Format:
Conference paper with abstract
Publication Date:
2022-03-01
Published:
Netherlands: IOP Publishing
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 204 Document Number: D12513
Journal Title Details:
2022 Iop Sci. Conference
Notes:
9 pages, Data from the Indonesian Seed and Farmers Technology Association data shows that 22 percent of Indonesian farmers have used smartphones to obtain agricultural information. But many farmers still struggle to get information especially in the pandemic era. This research is to find out how the comparison of information delivery patterns between traditional media and cyber media on farmers in Bangil. Indonesia. This research theory uses the theory of cyber extensions. This research method by, observe online media, interviewing several farmers in Bangil and supported by survey data to 85 farmers in Bangil. The results showed that although cyber media began to enter as one of the sources of information for farmers, only a few were dependent on online, while the rest still relied on information from extension methods. Counselling still needed as a connection between farmers and Internet.
6 pages., via online journal., Technology Acceptance Model (TAM) is commonly applied to analyse contributions of determinant variables on the adoption of communications technology. However, identifying external variables that affect technology adoption need to explore. This research is aimed to identify the role of education variable in the technology adoption. The study was conducted by survey design. One hundred respondents were determined by judgmental sampling method with criterion that respondents are owners or manager of small medium enterprises that use livestock-based product such as meat, eggs and milk in Bantul Regency, Special Province of Yogyakarta. The research showed that Perceived Ease of Use affected Perceived Usefulness (p≤0.001), and both of those variables were critical factors for Attitude Toward Social Media Use (p≤0.001). The study revealed that Intention to Adopt Social Media is affected by Attitude Toward Social Media Use and Perceived Usefulness (p≤0.001). Then, the test found that education moderates relationships between Attitude Toward Social Media Use and more influential users on those with lower education backgrounds (p≤0.05). Even so, education did not moderate relationships between Perceived Usefulness and Intention to Adopt Social Media. In short, the proposed model was able slightly higher in explaining compare to the original TAM.
