Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 95 Document Number: C07428
Notes:
INTERPAKS, In: D.F. Cusack, ed. Agroclimate information for development : reviving the Green Revolution. Boulder, CO: Westview Press, 1983. p. 313-329., Addresses the challenges of the information revolution with particular emphasis on using agroclimate information for agricultural development: 1) how to sort out and organize the information already available; 2) how to identify and collect the right kinds of information; 3) how to absorb, analyze, and interpret the information; and 4) how to put it to work for the benefit of humankind. Presents a model of process approach by which agroclimate information may be transferred to benefit agricultural development.
Debertin, David L. (author), Pagoulatos, Angelos (author), Sjarkowi, Fachurrozi (author), and Pagoulatos: Professor of Agricultural Economics, University of Kentucky, KY; Debertin: Professor of Agricultural Economics, University of Kentucky, KY; Sjarkowi: Former graduate research assistant, University of Kentucky, KY
Format:
Journal article
Publication Date:
1989-12
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 83 Document Number: C05160
AGRICOLA IND 90017248, This study developed an intertemporal profit function to determine optimal conservation adoption strategies under alternative scenarios with respect to crop prices, relative yields, discount rates, and other assumptions. Special emphasis was placed on determining from the analysis when the switchover from conventional to soil-conserving practices should take place. Technological change was incorporated by allowing crop yields to vary over time. Our analysis thus provides a new, more precise measurement of the cumulative net benefit differential. The optimal period for switchover from conventional to soil-conserving practices was found to vary depending on the assumptions made about corn Prices and discount rates. Empirical results were based on an erosion damage function (EDF) for Western Kentucky corn production.
Delibasic, Maja (author), Pejanovic-Djurisic, Milica (author), and BIO-ICT Centre of Excellence in Bioinformatics, Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro
Research Centre for ICT, Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro
Format:
Journal article
Publication Date:
2017-01
Published:
USA: Springer New York LLC
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 163 Document Number: D08148
Dillon, John L. (author), Heady, Earl O. (author), and Department of Economics and Sociology, Agricultural and Home Economics Experiment Station, Iowa State University; Department of Economics and Sociology, Agricultural and Home Economics Experiment Station, Iowa State University
Format:
Report
Publication Date:
1960
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 44 Document Number: B05350
Notes:
James F. Evans Collection, Ames, Iowa : Department of Economics and Sociology, Agricultural and Home Economics Experiment Station, Iowa State University of Science and Technology, 1960. 23 p. (Research Bulletin no. 485)
15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
Dixon, Bruce L. (author / Professor, Department of Agricultural Economics, University of Arkansas) and Professor, Department of Agricultural Economics, University of Arkansas
Format:
Conference paper
Publication Date:
1992
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 90 Document Number: C06466
Notes:
James F. Evans Collection; See also C06463 - C06465; Paper presented at the 1989 Commodity Advertising and Promotion Conference, In: Kinnucan, Henry W.; Thompson, Stanley R.; and Chang, Hui-Shung, eds. Commodity advertising and promotion. Ames, IA : Iowa State University Press, 1992. p. 336-340
