To see the other types of publications on this topic, follow the link: Diffusion of innovations Agricultural innovations Corn.
Journal articles on the topic 'Diffusion of innovations Agricultural innovations Corn'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Diffusion of innovations Agricultural innovations Corn.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Wamaerand, Demas, and Kuntoro Boga Andri. "AN ANALYSIS OF THE DETERMINANTS OF PADDY AND PULSE DEVELOPMENT IN PAPUA PROVINCE." SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis 12, no. 2 (February 5, 2016): 111. http://dx.doi.org/10.20961/sepa.v12i2.14212.
Full textAbstract:
This study aims to: (1) mapping the distribution pattern of the application of agricultural technology innovation specific locations, (2) determine the critical success factors distribution application of agricultural technology innovation specific locations, (3) improvement of distribution patterns and acceleration of the adoption and diffusion of technological innovations to support agribusiness and agroindustrial rice, sweet potatoes and soybeans in Papua. The research activities carried out during March 2011 to February 2014 using three approaches (methods), namely (1) Desk Study on the SL- PTT rice, soybean and sweet potato (2) surveys to obtain quantitative data in three districts purposively selected with 10- 20 respondents, (3) the application pattern of diffusion through the demonstration of quality seeds of rice, corn and soybeans in the BPP or a farmer seed sources in three selected districts.Agronomic data were tabulated and analyzed descriptively. Analysis of the level of efficiency in the application of technology used indicator plots the balance receiptsand fees or analysis of R / C ratio. To measure the success of the application of technological innovations in the plots need to set performance indicators, covering aspects of the use of inputs, processes, outputs, outcomes, benefits and impacts. The results show that the dissemination of technological innovations for the development of location-specific agricultural commodities of rice, corn, soybean and sweet potato, has spread in most regions crop farming development centers in Papua. But only concentrated around the transmigration settlement area. New varieties of soybean plants yielding seeds and rice showed better productivity than the old varieties that have been repeatedly planted by farmers. Yielding varieties of maize is being introduced less developed because it is still constrained by marketing, if the market is readily available, farmers are willing to develop it.
2
Haberli, Caetano, Tiago Oliveira, and Mitsuru Yanaze. "Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agri-food context: the case of the Midwest of Brazil." International Food and Agribusiness Management Review 20, no. 5 (October 12, 2017): 729–46. http://dx.doi.org/10.22434/ifamr2016.0093.
Full textAbstract:
The object of this study is to investigate the determinants of adoption of Enterprise Resource Planning (ERP) technology in agricultural farms located in the Central-West region of Brazil. The data was collected from 200 in-depth interviews with soy, corn and cotton farmers from the State of Mato Grosso, Brazil. Structural Equations methodology was used to analyze the data and hypothesis. The conceptual model was proposed by combining Diffusion of Innovations and Technology-Organization-Environment theories. The results provide information to agribusiness owners, managers and administrators to promote and incentivize the use of ERP. Politicians and farmers can evaluate each scenario and support their political and administrative decisions through the evaluation of socioeconomic and environmental performances of agricultural exploration as a result of technological innovation. This leads to a need for an analytical tool for the farmers, with the objective of supporting the adoption of optimized ERP for agri-food activities.
3
Nikishyn, Yevhen. "ASPECTS OF THE DIFFUSION THEORY OF INNOVATIONS AND LOGISTISATION OF AGRICULTURAL INDUSTRY OF UKRAINE." Economic Analysis, no. 28(2) (2018): 49–56. http://dx.doi.org/10.35774/econa2018.02.049.
Full textAbstract:
The article is devoted to theoretical aspects of diffusion of innovations, as the conditions of logistics of the agro industrial complex of Ukraine. The concept of innovation-economic niche as a separate system with the potential of making innovations, the development of which creates competitive advantages, is formulated. New types of diffusion are classified on the basis of decision-making mechanisms by innovators. The diffusion models are considered, the descriptions of specific features of the behaviour of the dissemination of innovations in the reaction-diffusion structure are studied and made taking into account the system-regulatory factors. The principle of informational conditionality of economic phenomena as the basis of distribution of diffusion is formulated. The existence of a cascade effect in the diffusion of basic innovations has been determined; the necessity of the accompanying innovations has been substantiated. The causal relationship between the influence of system-regulatory factors on diffusion, the emergence of a cascade effect, the formation of clusters of innovations and the general influence on the Kondratiev cycles have been investigated.
4
Blazquez, Desamparados, Josep Domenech, and Jose-Maria Garcia-Alvarez-Coque. "Assessing Technology Platforms for Sustainability with Web Data Mining Techniques." Sustainability 10, no. 12 (November 29, 2018): 4497. http://dx.doi.org/10.3390/su10124497.
Full textAbstract:
Public policies have encouraged the proliferation of technology platforms that support the transition towards sustainable agriculture and the development of innovations in the food system. Provided the difficulty associated with assessing the outputs and outcomes of technology platforms, this work proposes a practical assessment method based on the retrieval and analysis of online documents related to the technology platforms. Concretely, the method consists of applying web scraping techniques to retrieve documents related to a technology platform from the Internet and then applying web data-mining techniques to automatically classify these documents into the functions that the platform should fulfill, which are described from the viewpoint of co-evolution of innovation. Data are automatically processed to obtain a variety of metrics, which are applied to measure the impact of European Technology Platforms (ETPs) on promoting an organic food paradigm. This method provides time-series data that helps to follow the evolution of the different functions of the platform and to describe its lifecycle. It has been applied to one platform taken as a case study, TP Organics, which represents a key platform for stakeholders that promote organic farming and agroecology as core components of an ambitious program for sustainable agriculture. The obtained online-based measures have been proven to assess the global evolution of the platform, its dissemination through the European Union (EU) Member States, and the evolution of the different functions expected to be fulfilled by it regarding the diffusion and promotion of innovations in organic agriculture.
5
GOLUBEV, A. V. "OBOLESCENCE AND THE DIFFUSION OF INNOVATIONS." Izvestiâ Timirâzevskoj selʹskohozâjstvennoj akademii, no. 5 (2020): 113–30. http://dx.doi.org/10.26897/0021-342x-2020-4-113-130.
Full textAbstract:
The diffusion of innovations is described as a process in a number of scientific papers. At the same time, the causes of this process have not been sufficiently studied. The author’s goal is to consider the main regularities, under which the life cycle of innovations begins, and propose measures to enhance diffusion in modern conditions. As a scientific hypothesis, the author accepts the postulate about the primary role of the obolescence of attracted innovations in this process. The analysis revealed not only the economic proportions that initiate the start of innovation promotion, but also the influence on the diffusion rate of the obsolescence degree of innovations and the market share occupied by the new product. Methodological approaches have been developed to determine economic efficiency depending on the moment of technological change-over, as well as to determine the absolute and relative speed of innovation diffusion. Sociological studies were conducted to determine the state of innovation development and the time lag between obtaining information about an innovation and its practical implementation. The author presents his “Agroopyt” information system developed to disseminate knowledge in the agricultural sphere and ensure technology transfer in agriculture. Digital methods provide for significant accelerateion of the diffusion of innovations and expand its scope.
6
Brown, Philip, Georgina Hart, Bruce Small, and Oscar Montes de Oca Munguia. "Agents for diffusion of agricultural innovations for environmental outcomes." Land Use Policy 55 (September 2016): 318–26. http://dx.doi.org/10.1016/j.landusepol.2016.04.017.
Full text
7
Trelease, Robert B. "Diffusion of innovations: Anatomical informatics and iPods." Anatomical Record Part B: The New Anatomist 289B, no. 5 (2006): 160–68. http://dx.doi.org/10.1002/ar.b.20110.
Full text
8
Teslenok, Kirill, and Sergey Teslenok. "Spatio-temporal analysis of innovations diffusion in the agriculture." InterCarto. InterGIS 26, no. 3 (2020): 147–58. http://dx.doi.org/10.35595/2414-9179-2020-3-26-147-158.
Full textAbstract:
The article presents the results of the analysis of the spatio-temporal variability of the processes of diffusion of innovations in the agricultural sector of the Russian Federation by subjects. The application of a group of traditional and mathematical methods in the research process is complemented by the widespread use of the capabilities of geoinformation technologies and, first of all, geoinformation-cartographic modeling. In the process of conducting research, the corresponding specialized GIS databases “Innovations in the Subjects of the Russian Federation” were designed and practically implemented in various software versions. Based on them, the construction and analysis of a complex of geographic information-cartographic models, differing in the degree of complexity, reflecting the innovative processes occurring in agriculture of all regions of the Russian Federation, was performed. Each of the series of obtained analytical base and resulting maps illustrates various aspects of the innovative development of agriculture and the diffusion of innovations at different time periods. The results of geographic information mapping and modeling were also presented in the form of animated maps and cartographic animations reflecting the features of the territorial distribution of innovations and the spatio-temporal dynamics of their diffusion. Spatio-temporal geographic information-cartographic analysis of the diffusion of innovations made it possible to identify some objective laws of this process. First of all, there was a marked movement of innovations in the agriculture of the Russian Federation in the space-time continuum in the direction from innovative nuclei and sub-nuclei to innovative sub-periphery and periphery, and from donor regions of agricultural innovations to recipient regions. Geographically, the diffusion of innovations in agriculture of the Russian Federation occurs mainly in the direction from the largest cities (at the same time being leading scientific and technical centers) and areas of intensive agriculture (primarily farming) to the regions of the east and north of the European part, Siberia and the Far East. The wide use of the capabilities of geographical information systems and geographic information technologies at all stages of the study allowed the formation of cartographic and attributive databases of the GIS “Innovations in the Subjects of the Russian Federation” according to the main indicators of the innovative development of the agricultural industry at the territorial level of the constituent entities of the Russian Federation. On their basis, a significant number of maps and geoinformation-cartographic models of territorial innovative agricultural systems of regional level, the processes of diffusion of innovations occurring in them were constructed and analyzed, and their main spatio-temporal patterns were revealed.
9
Pulatov, Alim, Dušan Húska, Davran Abdullaev, and Darya Hirsch. "Reforms in Rural Development and their Influence on Agricultural Extension of Uzbekistan: Experience and Challenges in Water Management." Acta Regionalia et Environmentalica 13, no. 1 (May 1, 2016): 1–5. http://dx.doi.org/10.1515/aree-2016-0001.
Full textAbstract:
Abstract Nowadays science applies agricultural innovations in a wide range all over the world; however, number of water users in innovations is in smaller amounts. This might happen to a number of factors, for example lack of adequate knowledge exchange system, nominal extension services at places, lack of well-defined policies, barriers in ‘human’ minds change’, barriers at policy level. As for Uzbekistan, it could be said that practice of extension of innovations application and its diffusion in agricultural irrigation sector in Uzbekistan does not have much experience, however, before 1991 Uzbekistan was one of the Soviet Unions’ republics and as it is known, the Soviet Union had high practice in innovations in different sectors, as well as in agriculture. Although, since independence, Uzbekistan has continued to experience innovations in agricultural sector independently, their diffusion is at a challenging shape. This article captures the policy issue, how Uzbekistan started to develop water management issues in its economic reforms, it describes a case research on application of innovative technique on a farm level and accordingly, it tries to propose the aspects that need to be involved in future reforms to make the current situation be better managed.
10
Wise, W. S. "Generation and diffusion of agricultural innovations: The role of institutional factors." Agricultural Systems 30, no. 3 (January 1989): 299–300. http://dx.doi.org/10.1016/0308-521x(89)90093-0.
Full text
11
Hains, Bryan, and Kristina Hains. "Community Reaction towards Social Innovation: A Discussion of Rogers’ Diffusion of Innovations Theory in Consideration of Community Emotional Response." Journal of International Agricultural and Extension Education 27, no. 1 (January 15, 2020): 34–46. http://dx.doi.org/10.5191/jiaee.2020.27103.
Full textAbstract:
While originally utilized within the natural and agricultural sciences, the diffusion of innovation theory has been applied across numerous contexts. As we continue to apply this model within Extension education, international development, and other community education contexts around the world, it not only becomes pertinent to examine how it applies towards social innovations – innovations that improve the social good – but also to understand how communities react when adopting social innovations. Within this article, researchers propose an Emotional-Behavioral Influence Model to deepen the understanding as to how communities respond, emotionally and behaviorally, towards social innovations throughout the adoption process. They then overlay the model onto two examples, one urban and one rural, showcasing its application to communities worldwide. Finally, researchers discuss implications for extension professionals as they preflect on implementing social innovations in communities globally. Keywords: Diffusion of Innovation theory; flow; communities; downshifting; social innovation
12
Avolio, G., E. Blasi, C. Cicatiello, and S. Franco. "The drivers of innovation diffusion in agriculture: evidence from Italian census data." Journal on Chain and Network Science 14, no. 3 (January 1, 2014): 231–45. http://dx.doi.org/10.3920/jcns2014.x009.
Full textAbstract:
Innovation is a key issue in the discussion about the links between agriculture, food production and sustainability. Indeed, the creation, adoption and exploitation of innovations can interact with all three dimensions of sustainability – environment, society and economy. Despite the increasing support for innovation practices in the agrifood sector from institutions and public policies, innovation in this sector has spread quite slowly. Indeed, the diffusion of innovations strongly depends on the social, institutional and productive system behind the technological/structural features of the farms. The analysis of the drivers underpinning the innovation diffusion dynamics in agriculture is therefore a very interesting topic for studies in this domain. This paper aims to provide a map of the diffusion of innovations in the Italian agricultural sector, highlighting differences and territorial specificities. We try to explain the drivers and factors influencing such specificities, drawing from data on the agricultural sector as well as information on the institutional and regulatory framework. Data on the diffusion of product, process, organizational and marketing innovations in agriculture have been gathered for the 110 Italian provinces, drawing from the 2010 Agricultural Census survey. Maps of the diffusion of the different types of innovations have then been constructed and analysed. Results show that the diffusion of the different innovation types is not uniform within the country. Some are typical to specific areas where productive or market opportunities occur. Others are not territorial-specific but are linked to the features of the single farms. The influence of the regulatory context also seems to play a significant role. By analysing the local expenditure in rural development intervention, we analyses how the synergies among the productive and institutional systems may act as a driver for innovation diffusion in agriculture.
13
Akhter, Pervaiz, Tanveer Hussain, and Hafiz Bilal Ahsan. "Mass Media as a Source of Agricultural Information: An Overview of Literature." Global Regional Review VI, no. II (June 30, 2021): 58–63. http://dx.doi.org/10.31703/grr.2021(vi-ii).08.
Full textAbstract:
This research paper provides a systematic review of published research work by different research scholars regarding the role of communication channels in disseminating agricultural information and the diffusion of agricultural innovations among agriculturists. Findings of review are summarized with the help of reviewing methodology, major findings and implications of earlier published researches. The review depicts that there are significant variations in findings of the relevant researches some certain reasons like geographical, methodological and theoretical perspectives. It is hard to draw any specific conclusion about the role of a different communication channel in the agriculture sector. However, the review has revealed that the different channels of communication have a different role regarding the dissemination of agricultural information and diffusion of innovations amongst farmers.
14
Lenz, David, and Peter Winker. "Measuring the diffusion of innovations with paragraph vector topic models." PLOS ONE 15, no. 1 (January 22, 2020): e0226685. http://dx.doi.org/10.1371/journal.pone.0226685.
Full text
15
Macours, Karen. "Farmers’ Demand and the Traits and Diffusion of Agricultural Innovations in Developing Countries." Annual Review of Resource Economics 11, no. 1 (October 5, 2019): 483–99. http://dx.doi.org/10.1146/annurev-resource-100518-094045.
Full textAbstract:
International agricultural research is often motivated by the potential benefits it could bring to smallholder farmers in developing countries. A recent experimental literature has emerged on why innovations resulting from such research, which often focuses on yield enhancement, fail to be adopted due to either external or internal constraints. This article reviews this literature, focusing on the traits of the different technologies and their complexity and distinguishing between yield-enhancing, variance-reducing, and water- or labor-reducing technologies. It also discusses how farmers’ reallocation of inputs and investments when external constraints are lifted suggests that they often do not seek to increase yield or input intensity. The article further reviews evidence indicating that a technology's potential as observed in agronomical trials is not necessarily a good predictor for smallholder farmers’ demands for the technology in real-life conditions. The last section derives conclusions for the research and policy agenda.
16
Turaeva, Rano, and Anna-Katharina Hornidge. "From knowledge ecology to innovation systems: Agricultural innovations and their diffusion in Uzbekistan." Innovation 15, no. 2 (June 2013): 183–93. http://dx.doi.org/10.5172/impp.2013.15.2.183.
Full text
17
Sykuta, Michael. "Agricultural Organization in an Era of Traceability." Journal of Agricultural and Applied Economics 37, no. 2 (August 2005): 365–77. http://dx.doi.org/10.1017/s1074070800006842.
Full textAbstract:
From production to retail, information systems have become increasingly important in the agrifood system. Retailers use information systems to improve inventory management and increase efficiency in production and logistics. Innovations in agribiotechnology and food safety issues highlighted by incidences related to Starlink corn and “mad cow disease” have raised consumer concerns about their food products. In addition to food safety concerns, consumers are increasingly willing to pay premiums for nonobservable quality characteristics in their food products. This paper outlines a framework for evaluating the implications of traceability for the organization of the agricultural system and highlights potential organizational responses to traceability issues.
18
Simmonds, N. W. "Observations on induced diffusion of innovations as a component of tropical agricultural extension systems." Agricultural Administration and Extension 28, no. 3 (January 1988): 207–16. http://dx.doi.org/10.1016/0269-7475(88)90036-0.
Full text
19
Dan, Viorela, Angela Osterheider, and Juliana Raupp. "The Diffusion of Innovations in Agricultural Circles: An Explorative Study on Alternative Antimicrobial Agents." Science Communication 41, no. 1 (December 22, 2018): 3–37. http://dx.doi.org/10.1177/1075547018819159.
Full textAbstract:
The use of antibiotics in agriculture contributes to antimicrobial resistance. We surveyed German farmers ( n = 336) on their intention to adopt alternative antimicrobial agents (AAA) and used the diffusion of innovations approach as a theoretical guide. (1) Farmers’ views regarding the relative advantage and complexity of AAA, (2) their use of and trust in information sources and channels, and (3) various individual and organizational characteristics were entered as predictors in two explorative models. While farmers’ intention to adopt AAA was generally very high, selected variables in all three categories predicted variations in the intensity of the adoption intention.
20
Guerin, LJ, and TF Guerin. "Constraints to the adoption of innovations in agricultural research and environmental management: a review." Australian Journal of Experimental Agriculture 34, no. 4 (1994): 549. http://dx.doi.org/10.1071/ea9940549.
Full textAbstract:
There are several constraints to the adoption of technologies and innovations by Australian farmers. Here an attempt has been made to define the major constraints to adoption. These are identified as: the extent to which the farmer finds the new technology complex and difficult to comprehend; how readily observable the outcomes of an adoption are; its financial cost; the farmer's beliefs and opinions towards the technology; the farmer's level of motivation; the farmer's perception of the relevance of the new technology; and the farmer's attitudes towards risk and change. The classical adoption-diffusion model and subsequent modifications are discussed. In particular, issues relating to the participatory action research (PAR) approach are raised and discussed. In addition, methodologies in extension research are briefly discussed and the roles of extension personnel and agricultural scientists in the technology adoption process are examined. The adoption of innovations in natural resource management is discussed and the findings indicate that this is an area of agriculture in which extension practice and research will play an increasingly important role in the future. Recommendations for further research into adoption of technological innovations in resource management and agriculture are made.
21
Raile, Eric D., Linda M. Young, Julian Kirinya, Jackline Bonabana-Wabbi, and Amber N. W. Raile. "Building Public Will for Climate-Smart Agriculture in Uganda: Prescriptions for Industry and Policy." Journal of Agricultural & Food Industrial Organization 19, no. 1 (March 1, 2021): 39–50. http://dx.doi.org/10.1515/jafio-2021-0012.
Full textAbstract:
Abstract The global policy community has largely converged on climate-smart agriculture as a solution to various problems driven by climate change, but mass adoption of the crucial innovations presents challenges – particularly in the developing world. Widespread, meaningful, and rapid adoption of climate-smart agriculture will require an appropriate enabling environment. This study uses the political will and public will approach to identify the obstacles and opportunities for upscaling of climate-smart agriculture innovations. In 2015 and 2018, two rounds of semi-structured stakeholder and expert interviews conducted by researchers in Uganda identified four relevant obstacle categories: agricultural extension; communication infrastructure; basic and agricultural infrastructure; and other incentives and disincentives. These categories are related to the five definitional components of public will to reveal pathways for enabling social change. Importantly, both infrastructure and appropriate incentives are necessary for diffusion and then continued use of climate-smart agriculture innovations, often in interrelated ways. The study concludes with a detailed discussion of the implications for industry, government, and donors.
22
Wheeler, Sarah Ann. "The barriers to further adoption of organic farming and genetic engineering in Australia: views of agricultural professionals and their information sources." Renewable Agriculture and Food Systems 23, no. 2 (May 27, 2008): 161–70. http://dx.doi.org/10.1017/s1742170507002128.
Full textAbstract:
AbstractResearch has shown that agricultural professionals are one of the major influences on farmer adoption of agricultural innovations. Genetic engineering and organic farming represent two vastly different innovations in agriculture, and both assert to have important sustainability outcomes. This paper presents the views from a telephone survey of agricultural scientists, extension officers and academics in Australia (n=185) on the barriers to further adoption of organic farming and agricultural genetic engineering, as well as exploring where they obtain their information about the two innovations. Many professionals believe that market issues (in terms of small market size and the extent that consumers are willing to pay premiums) will limit the size of farmer adoption of organics in Australia, while on-farm issues (in terms of production difficulties and pest and disease problems) are named as the second largest barrier to further adoption. On the other hand, professionals from the targeted sample, who were more knowledgeable about organic farming, named information needs and lack of government support as the major barrier facing further diffusion of organic farming. In contrast, public attitudes and negative media portrayal are named as the largest barrier facing further adoption of genetic engineering in Australia. The uncertainty surrounding the research into genetic engineering (and the lack of long-term research) is believed to be the second largest barrier facing further diffusion of genetic engineering while market problems are seen as the third largest barrier.
23
Long, Thomas B., Vincent Blok, and Ingrid Coninx. "The diffusion of climate-smart agricultural innovations: Systems level factors that inhibit sustainable entrepreneurial action." Journal of Cleaner Production 232 (September 2019): 993–1004. http://dx.doi.org/10.1016/j.jclepro.2019.05.212.
Full text
24
Mesquita, Fernando, Ivette Luna, and Roney Fraga Souza. "The uneven geography of knowledge in agriculture." Revista Brasileira de Inovação 20 (August 13, 2021): e021009. http://dx.doi.org/10.20396/rbi.v20i00.8663825.
Full textAbstract:
During the 2000s and 2010s, the growth in sugar and ethanol production stimulated the expansion of sugarcane in new regions of Brazil, reducing the concentration in the state of São Paulo. This paper aims to investigate whether the rise in sugarcane production in peripheral areas has led to the growth of knowledge capabilities. In order to consider regional asymmetries, the article uses the differentiated knowledge base (DKB) approach in association with regional innovation systems (RIS) and core-periphery relations. Data on formal employment and scientific research on the Central-South region are analyzed from 2003 to 2017. The results show that there are limits to the diffusion of sugarcane knowledge as an important part of knowledge production remains concentrated in the regions of early growth in São Paulo.
25
Isaya, Elizabeth L., Robert Agunga, and Camilius A. Sanga. "Sources of agricultural information for women farmers in Tanzania." Information Development 34, no. 1 (October 13, 2016): 77–89. http://dx.doi.org/10.1177/0266666916675016.
Full textAbstract:
Women farmers constitute the vast majority of agricultural producers in Tanzania; however, it is not clear where they obtain information on modern farming innovations. Knowing these sources will enable the government and international aid organizations to more effectively channel information for increased productivity, leading to national food security, increased incomes for farm families and promoting gender parity in Tanzania. This study, which was carried out among 300 women farmers in Hai and Kilosa districts of Kilimanjaro and Morogoro regions respectively, aimed at identifying their sources of agricultural information. The theory that guided this study was Rogers’ Diffusion of Innovations, especially Rogers and Shoemaker’s Source-Message-Channel-Receiver-Effect (SMCRE) model. The study, which yielded a high response rate of 96%, found that radio and agricultural extension workers were the primary sources of agricultural information for women farmers. Therefore, the researchers recommend that the Ministry of Agriculture, Food Security and Cooperatives (MAFC) should focus on community radio as the primary source of information dissemination to farmers and supply rural households with solar-powered radios free of charge or at subsidized cost. The finding that extension workers are women farmers’ second main source of information on farming innovations also defeats the general contention that male extension workers are inaccessible to female farmers. A peculiar finding was that even though women farmers have access to mobile phones they do not use them to obtain agricultural information, perhaps, because the MAFC does not have a system for farmers to call in for information.
26
Caplan, Shannon, Bryan Tilt, Gwen Hoheisel, and Tara A. Baugher. "Specialty Crop Growers’ Perspectives on Adopting New Technologies." HortTechnology 24, no. 1 (February 2014): 81–87. http://dx.doi.org/10.21273/horttech.24.1.81.
Full textAbstract:
Increasing labor costs and changes in labor forces have prompted an increased demand for automation in specialty crop production. Implementation of technological innovations in the agricultural sector tends to be slow, thus this study investigated motivations and perceptions of technology. Using qualitative interviewing and analysis, this study used a diffusion of innovations framework to gain insight into what channels of communications impacted planned adoption rates and what aspects of technology influence the decision-making process. Interview participants emphasized the inevitability of implementing new technologies while considering the capital investment of more complex technology, changes in labor management to integrate technology, applicability of technology to current practices, and trust in technology designers.
27
Fosso, Prisca Koncy, and Roger Tsafack Nanfosso. "Adoption of agricultural innovations in risky environment: the case of corn producers in the west of Cameroon." Review of Agricultural, Food and Environmental Studies 97, no. 1 (April 4, 2016): 51–62. http://dx.doi.org/10.1007/s41130-016-0008-3.
Full text
28
Korobeynikova, Olga, Dmitry Korobeynikov, Larisa Popova, Anna Gorbacheva, and Evgeniy Likholetov. "Supranational transfer of digital innovation in agribusiness through payment market mechanisms." E3S Web of Conferences 164 (2020): 09051. http://dx.doi.org/10.1051/e3sconf/202016409051.
Full textAbstract:
The task of creating a single supranational payment market is to ensure its maximum independence, which correlates with the tasks of the competitive leading economic development of countries - the transition to a digital technological structure. To increase the efficiency of the generation of payment innovations with their subsequent diffusion into the agricultural sector, to strengthen the economy’s resistance to risks, a transfer of innovative institutional, organizational and informational forms of activity is necessary. The strategy of integration of payment markets of interstate economic associations in time and space should be based on the consolidation and symbiosis of innovative technology platforms of sovereign payment systems of the participating countries. For this, a conceptual model of a supranational transfer of digital innovations to the agricultural sector through the transmission mechanisms of payment systems is proposed. The model characterizes the mega-economic system, which provides for the heterarchical and hierarchical interaction of payment systems of donor countries and recipient countries in the framework of economic associations, in which the transfer of forms of innovative development to the agricultural sector is carried out. Digital innovations are transferred to the subjects of the agricultural market horizontally and vertically. The transfer of digital innovation occurs through institutional, organizational and informational communications with the parallel creation of structures for the subsequent evolution of the model.
29
Osovin, M. N. "REDUCING THE SECTORAL DIFFERENTIATION OF INNOVATIVE ACTIVITY AS A PRIORITY AREA FOR THE DEVELOPMENT OF THE DIGITAL AGRARIAN ECONOMY." Scientific Review: Theory and Practice 10, no. 7 (July 30, 2020): 1375–83. http://dx.doi.org/10.35679/2226-0226-2020-10-7-1375-1383.
Full textAbstract:
In 2017, the aggregate level of innovation activity in Russia amounted to 8.5%, the introduction of technological innovations - 7.5%; new business methods were used by only 2.3% of the surveyed organizations. In agriculture, technological innovations were carried out by 3.1% of enterprises, organizational - 0.9%, marketing - 0.5%; innovations aimed at increasing environmental safety in the production process or as a result of using improved products were introduced by 3.6% agricultural enterprises. According to the results of assessing the level of diffusion of innovations in agriculture, carried out on the basis of Rosstat data, the Central, Northwestern and Ural federal districts differ in a balanced level of innovation activity in all parameters. In the Volga Federal District, the share of organizations engaged in marketing innovations exceeds the average Russian level, but the aggregate level of innovation activity is low - 3%. A characteristic feature of the administrative-territorial units of the Russian Federation, in which the smallest share of innovative activity of any type in agriculture is recorded, is the predominance of small forms of management in their structure. According to the Analytical Center of the Ministry of Agriculture of Russia, in 2019 the number of people employed in agriculture was 4706 thousand people (6.5% of the employed people total number in the Russian Federation); among them only 113 thousand people were specialists in the field of information technology. The shortage of the qualified workforce with skills in digital technologies is more than 90 thousand people. Most respondents acknowledge the advisability of raising the qualifications of agricultural specialists in the field of digital technologies; they note the need to create centers of competence. In the context of macroeconomic and geopolitical instability, ensuring the Russian Federation’s leading position in the world food markets requires a set of institutional solutions aimed at increasing innovative activity in agriculture.
30
Petridis, Nikolaos E., Georgios Digkas, and Leonidas Anastasakis. "Factors affecting innovation and imitation of ICT in the agrifood sector." Annals of Operations Research 294, no. 1-2 (June 9, 2018): 501–14. http://dx.doi.org/10.1007/s10479-018-2834-y.
Full textAbstract:
AbstractDiffusion of innovations has gained a lot of attention and concerns different scientific fields. Many studies, which examine the determining factors of technological innovations in the agricultural and agrifood sector, have been conducted using the widely used Technology Accepted Model, for a random sample of farmers or firms engaged in agricultural sector. In the present study, a holistic examination of the determining factors that affect the propensity of firms to innovate or imitate, is conducted. The diffusion of ICT tools of firms which are engaged in the NACE 02/03 as well as in the NACE 10/11 classifications for 49 heterogeneous national markets is examined, using the Bass model. The innovation parameter is positively associated with rural income, female employment, export activity and education of farmers, while the imitation parameter is increased in countries whose societies are characterized by uncertainty avoidance.
31
Shelburne, Ian, David E. Lawver, Steven Fraze, Jonathan Ulmer, Charles Stephenson, and Juma Magogo. "Adoptive Behaviors of Farmers After Training and Their Subsequent Diffusive Behaviors In Uasin Gishu County, Kenya." Journal of International Agricultural and Extension Education 24, no. 1 (April 15, 2017): 74–89. http://dx.doi.org/10.5191/jiaee.2016.24108.
Full textAbstract:
This study focused on Kenyan farmers in the Moiben area who participated in three agricultural seminars at Twiga demonstration farm. The problem of interest was the need for increased dissemination of improved agricultural practices to enhance production and processing of crops related to food security and socio-economic well-being. The study investigated associations between adoptive behaviors of participants and their subsequent behavior related to diffusing improved practices to others. Data was collected using a demographic questionnaire and two structured interview schedules. Correlational analysis was conducted on post-training behavior variables, using Kendall’s tau calculations. The study found that farmers across the samples who exhibited higher levels of adoption of workshop-recommended innovations also had a moderate to strong likelihood of showing correspondingly higher levels of diffusion-related behavior. It was concluded that these findings align well with Rogers’ (2003) discussion of change-agent credibility, and also with Bandura’s (2006) work on social modeling and perceived self-efficacy. It was recommended that offering community-based agricultural seminars such as those in this study be continued and expanded, as an important component in a pluralistic model of agricultural extension methodology for Sub-Saharan Africa. It was further recommended that farmers who adopt improved practices learned in training be identified specifically for further interventions related to implementation and diffusion of agricultural innovations.
32
Dimitrijević, Dragan. "Theses for new strategies of development of textile and clothing industry: Part 2." Tekstilna industrija 69, no. 1 (2021): 36–46. http://dx.doi.org/10.5937/tekstind2101036d.
Full textAbstract:
An important element of the policy of development and modernization of each country is the establishment of a program of balanced long-term development, which must be complementary with strategic priorities and national characteristics, as well as the real state and prospects of technical and technological development of science and industry. Therefore, manufacturing entrepreneurship today, would have to combine scientific research activities, education sector and public administration with production, in order to ensure efficient acquisition of new knowledge and skills, along the generation and production-economic valorization of innovations and diffusion and implementation of technical-technological innovations and new technologies, with priority reliance on ICT (information and communication technologies). It is obvious that sustainable competitiveness, in times of general and business globalization, is no longer in quantitative-qualitative aspects of production, but in new elements of production specialization, adequate and timely implementation of technical-technological innovations, in organizational innovations, in the way cluster business and in global efficiency, as well as in close and flexible connection of design, planning, production technologies and production, with the possibility of quick response (JustInTime and QuickResponseSystem) to the changes required by the market. That is why today the issue of redefining the way of work and business of textile/clothing industry companies is more than current, in fact the issue of redefining the strategic programs of economic development of developing countries.
33
Gebreyes, Million, Kindu Mekonnen, Peter Thorne, Melkamu Derseh, Aberra Adie, Annet Mulema, Seid Ahmed Kemal, et al. "Overcoming constraints of scaling: Critical and empirical perspectives on agricultural innovation scaling." PLOS ONE 16, no. 5 (May 27, 2021): e0251958. http://dx.doi.org/10.1371/journal.pone.0251958.
Full textAbstract:
Scaling is a ubiquitous concept in agricultural research in the global south as donors require their research grantees to prove that their results can be scaled to impact upon the livelihoods of a large number of beneficiaries. Recent studies on scaling have brought critical perspectives to the rather technocratic tendencies in the agricultural innovations scaling literature. Drawing on theoretical debates on spatial strategies and practical experience of agricultural innovation scaling in Ethiopia, this paper adds to the current debate on what constitutes scaling and how to overcome critical scaling constraints. The data for the paper came from a qualitative assessment using focus group discussions, key informant interviews, and document analysis on scaling work done in Ethiopia by a USAID-funded research for development project. The paper concludes with four broad lessons for the current understating of agricultural innovation scaling. First, scaling of agricultural innovations requires a balanced focus on technical requirements and associated social dynamics surrounding scaling targets, actors involved and their social relations. Second, appreciating the social dynamics of scaling emphasizes the fact that scaling is more complex than a linear rolling out of innovations towards diffusion. Third, scaling may not be strictly planned; instead, it might be an extension of the innovation generation process that relies heavily on both new and long-term relationships with key partners, trust, and continuous reflection and learning. Fourth, the overall implication of the above three conclusions is that scaling strategies need to be flexible, stepwise, and reflective. Despite the promises of flourishing scaling frameworks, scaling strategies it would appear from the Africa RISING experience that, if real impact is to be achieved, approaches will be required to be flexible enough to manage the social, processual and emergent nature of the practice of scaling.
34
Masambuka-Kanchewa, Fallys, Kevan Lamm, and Alexa Lamm. "Beyond Diffusion of Improved Technologies to Promoting Innovation Creation and Information Sharing for Increased Agricultural Productivity: A Case Study of Malawi and Kenya." Journal of International Agricultural and Extension Education 27, no. 1 (January 19, 2020): 79–92. http://dx.doi.org/10.5191/jiaee.2020.27106.
Full textAbstract:
For several decades, various sub-Saharan Africa governments have been proactive in revamping their agricultural extension service delivery systems through establishment and revisions of their agricultural extension policies. Despite the existence and implementation of these policies, productivity in small holder farms in these countries is still low several years later. The need to enhance agricultural production is still cited as a challenge, with low adoption of improved technologies being found as the major contributing factor. This study used a qualitative approach to examine farmers’ perceptions regarding the role of extension agents in the diffusion of innovations and its implications on sustainable agricultural development in Malawi and Kenya. Increased focus on using agricultural extension as an improved technology dissemination tool was found to be one of the factors contributing to low agricultural productivity. This among others was as result of failure by extension to tap valuable information, useful knowledge, skills and resources which was found to be available among farmers in both countries. The findings imply farmers no longer value their local knowledge and are uncomfortable sharing it amongst themselves. However, addressing the challenge of low agricultural productivity (heavily impacted by climate change) in these countries requires a shift in approach when delivering agricultural extension services. These changes include the use of interactive Information and Communication Technologies (ICTs) to solicit feedback and input from farmers and to enhance the two-way communication process. Keywords: diffusion of innovations; extension education; improved technologies; policy
35
Hoppitt, Will. "The conceptual foundations of network-based diffusion analysis: choosing networks and interpreting results." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1735 (October 23, 2017): 20160418. http://dx.doi.org/10.1098/rstb.2016.0418.
Full textAbstract:
Network-based diffusion analysis (NBDA) is a statistical technique for detecting the social transmission of behavioural innovations in groups of animals, including humans. The strength of social transmission is inferred from the extent to which the diffusion (spread) of the innovation follows a social network. NBDA can have two goals: (a) to establish whether social transmission is occurring and how strong its effects are; and/or (b) to establish the typical pathways of information transfer. The technique has been used in a range of taxa, including primates, cetaceans, birds and fish, using a range of different types of network. Here I investigate the conceptual underpinnings of NBDA, in order to establish the meaning of results using different networks. I develop a model of the social transmission process where each individual observation of the target behaviour affects the rate at which the observer learns that behaviour. I then establish how NBDAs using different networks relate to this underlying process, and thus how we can interpret the results of each. My analysis shows that a different network or networks are appropriate depending on the specific goal or goals of the study, and establishes how the parameter estimates yielded from an NBDA can be interpreted for different networks. This article is part of the themed issue ‘Process and pattern in innovations from cells to societies’.
36
Reba, Michele L., and Joseph H. Massey. "Surface Irrigation in the Lower Mississippi River Basin: Trends and Innovations." Transactions of the ASABE 63, no. 5 (2020): 1305–14. http://dx.doi.org/10.13031/trans.13970.
Full textAbstract:
HighlightsBetween 1950 and 2017, there was a 12-fold increase in irrigated area in Arkansas and a doubling in Louisiana.Groundwater provides over 90% of the irrigation water applied to the 4 Mha of cropland in the LMRB.Ongoing efforts to address aquifer declines have been multi-faceted and include those of producers, public (local, state, and federal) institutions, and private organizations.Irrigation water management innovations include precision grading, reduced-flood or no-flood rice irrigation, pump automation, computerized hole selection, flowmeter requirements, and permit-based water use limitations.Abstract. The Lower Mississippi River Basin (LMRB) is an agricultural region of national and international significance. The basin relies heavily on the Mississippi River Valley alluvial aquifer to provide over 90% of the irrigation water applied to over four million hectares of cropland, with Arkansas using approximately 70% of the water and Mississippi and Missouri using approximately 15% each. Surface methods predominate, especially furrow irrigation using plastic lay-flat tubing in corn, cotton, peanut, and soybean and flood methods in rice. Irrigation extent has steadily increased by approximately 2% per year, such that irrigation withdrawals, combined with the region’s geology, have led to considerable aquifer declines in portions of Arkansas and Mississippi. Attempts to address these declines have been multi-faceted and include innovations in crop management and source water management, and programs in water resources management. Crop management innovations are focused on soybean and rice production and include precision grading, reduced-flood or no-flood rice irrigation, pump automation, and computerized hole selection. Adoption of these practices remains heavily reliant on field demonstrations and extension outreach. Source water management innovations include on-farm reservoirs, managed aquifer recharge, and regional-scale river diversions. Due to the concerted efforts of producers participating in regional and state programs, progress has been made in making surface irrigation more efficient and less reliant on groundwater. However, aquifer decline remains a challenge to the LMRB’s economy, ecology, and culture. Keywords: Aquifer decline, Irrigation, Lower Mississippi River Basin, Mississippi River Valley alluvial aquifer, Surface water.
37
Roberts, Richie, and Craig Edwards. "Overcoming Resistance to Service-Learning’s Use in the Preparation of Teachers for Secondary Agricultural Education: A Reframing of the Method’s Diffusion Challenges." Journal of International Agricultural and Extension Education 27, no. 1 (January 19, 2020): 15–33. http://dx.doi.org/10.5191/jiaee.2020.27102.
Full textAbstract:
Although service-learning (SL) has shown promise, its adoption as a method of instruction in secondary agricultural education remains tentative. As such, this philosophical investigation examined how resistance to SL might be uniquely manifested in the context of teacher preparation and the implications for agricultural education if viewed through the lens of Rogers’ (2003) diffusion of innovations theory. After synthesizing related research and theory, we argue the method of instruction’s barriers to adoption include not only a misalignment between teacher educators’ beliefs and practices, but also result from a lack of knowledge, including (a) awareness, (b) how-to, and (c) principles (Rogers, 2003). We also posit that contextual influences at three levels – personal, institutional, and societal – drive or constrain teacher educators’ knowledge of SL during the innovation-decision process. By reframing the problem in this way, implications emerge regarding the difficulties teacher educators may experience as they cross contextual borders and attempt to overcome the knowledge deficiencies likely to influence their pedagogical decision-making. In this regard, we offer an expansion to Rogers’ (2003) innovation-decision process so teacher educators can forecast, isolate, and address better the contextual challenges and knowledge-related problems likely foregrounding their resistance to adopting SL as a method of instruction. Keywords: Diffusion of Innovations theory; innovation-decision process; resistance; service learning; teacher preparation
38
Assenova, Valentina A. "Modeling the diffusion of complex innovations as a process of opinion formation through social networks." PLOS ONE 13, no. 5 (May 2, 2018): e0196699. http://dx.doi.org/10.1371/journal.pone.0196699.
Full text
39
Overton, Mark. "The Diffusion of Agricultural Innovations in Early Modern England: Turnips and Clover in Norfolk and Suffolk, 1580-1740." Transactions of the Institute of British Geographers 10, no. 2 (1985): 205. http://dx.doi.org/10.2307/621824.
Full text
40
Lavoie, Avery Lynn, Katherine Dentzman, and Chloe Bradley Wardropper. "Using diffusion of innovations theory to understand agricultural producer perspectives on cover cropping in the inland Pacific Northwest, USA." Renewable Agriculture and Food Systems 36, no. 4 (January 13, 2021): 384–95. http://dx.doi.org/10.1017/s1742170520000423.
Full textAbstract:
AbstractThere is increased interest in cover crops on farms; those planted during the fallow period or in place of a cash crop to improve soil and water quality. Despite extensive research suggesting that the practice can enhance on-farm resilience, cover crop use is not widespread, especially across the dryland wheat-growing region of the USA inland Pacific Northwest. Cover crops are being promoted across this region as a means to improve agronomic conditions and farmer livelihoods. Yet, there is limited producer-centered social science research to understand the regional and field-level challenges associated with the practice. To address this gap, we draw from the diffusion of innovations theory to examine the perceived relative advantage (the degree to which cover crops are compatible with the current agricultural system), and trialability of cover crops. Trialability encompasses the relative complexity and observability of the practice. Interviews (n = 28) were conducted with producers to better understand perceptions on relative advantage and how cover crop characteristics may contribute to barriers to adoption. Based on the results from interviews, focus groups (n = 48) were conducted to explore potential avenues for improving the integration of cover crops into existing cropping systems. Analysis of interviews with dryland crop and livestock producers suggested that perceptions of low relative advantage, including low compatibility with common regional management systems, perceived lack of profitability and increased cost of inputs act as deterrents to cover crop integration. Low trialability was associated with the complexity of experimentation, a lack of directly observable results and inflexible regional policies. These perceptions were compounded by a lack of region-specific agronomic and economic information on cover crops. Analysis of focus groups with crop and livestock producers and agricultural stakeholders suggested that there are several opportunities to improve potential adoption strategies and improve perceptions of relative advantage and trialability. Understanding the unique management goals of producers within the environmental, social and economic context in which they operate will better inform regional policies, outreach and future adoption strategies.
41
Oriana, Villarroel-Molina, De-Pablos-Heredero Carmen, Barba Cecilio, Rangel Jaime, and García Antón. "The Importance of Network Position in the Diffusion of Agricultural Innovations in Smallholders of Dual-Purpose Cattle in Mexico." Land 10, no. 4 (April 12, 2021): 401. http://dx.doi.org/10.3390/land10040401.
Full textAbstract:
The dual-purpose bovine production system (DP) is the most widespread small-scale model in Latin American tropics, where it constitutes a key tool in terms of food security. Most DPs are subsistence farms oriented to self-consumption, with a very low technology adoption rate. Hence, the main challenge is how to improve the technological level without compromising the system sustainability by applying land-sharing practices. Thus, through networks methodology, this paper analysed how farmers adopt reproductive technologies. The sample consisted of 383 very small farms of dual-purpose cattle. Seven reproduction technologies oriented to improve reproductive efficiency were evaluated: Breeding soundness evaluation in bulls, semen fertility evaluation, evaluation of female body condition, oestrus detection, pregnancy diagnosis, seasonal or continuous mating, and breeding policy. Social Network Analysis (SNA) allowed identifying adoption patterns, as the joint adoption of semen fertility evaluation, estrus detection, and pregnancy diagnosis, which were consider complementary technologies. Similarly, breeding soundness evaluation in bulls was found to be the most widely adopted technology. The results showed that these farmers presented a very low level of reproduction technology adoption rate and suggested that farmer’s affiliation with organizations such as the Livestock Groups for Technological Validation and Transfer (GGAVATT), and its network position had a significant impact on the level of technological adoption. In the first stage of adoption, this work highlighted the importance of centralized models from the GGAVATT to the farmers, related to the knowledge and absorption dynamic capabilities. In a later stage, decentralized models through technological leaders are a priority, related to integration and innovation dynamic capabilities.
42
Fousek, Jan, Vojtěch Kaše, Adam Mertel, Eva Výtvarová, and Aleš Chalupa. "Spatial constraints on the diffusion of religious innovations: The case of early Christianity in the Roman Empire." PLOS ONE 13, no. 12 (December 26, 2018): e0208744. http://dx.doi.org/10.1371/journal.pone.0208744.
Full text
43
Worku, Ayalew A. "Factors affecting diffusion and adoption of agricultural innovations among farmers in Ethiopia case study of Ormia regional state Westsern Sewa." International Journal of Agricultural Extension 7, no. 2 (August 30, 2019): 137–47. http://dx.doi.org/10.33687/ijae.007.02.2864.
Full textAbstract:
The contribution of new technology to economic growth can only be realized when and if the new technology is widely diffused and used. Diffusion itself results from a series of individual decisions to begin using the new technology, decisions which are often the result of a comparison of the uncertain benefits of the new invention with the uncertain costs of adopting it. An understanding of the factors affecting this choice is essential both for economists studying the determinants of growth and for the generators and disseminators of such technologies. The study was to determine the factors affecting farmer’s adoption of improved agricultural innovation in Welmera district western part of Oromia regional state Ethiopia. Non replaceable lottery method and proportional to size sampling techniques were employed for the selection of 130 respondents; structural questionnaires and group discussion were used. Data were analyzed using Statistical tests like chi-square, t-test, one way ANOVA and econometric model Tobit was used to identify the effect of the hypothesized variables on the dependent variable. The result of the econometric model indicated that the educational level of respondent, total land holding, accesses to research and access to the extension were found significant to influence the adoption of improved potato production packages. The mean average age of sample respondent was 45-54. The independent t-test result shows that there was no significant difference between adopter categories in terms of age to the adoption of improved potato technology (t=1.747, p 0.991). From the sample household heads 13.85% of respondent farmers are illiterate and the remaining 86.15% are educated. Majority of high adopters have been educated from grade 5 to 10 Chi-square test also shows the significant difference between adopter categories of improved potato technologies (χ2=17.25a, P=0.004). It is time to look participatory extension approach which invites different stakeholders. FRG approach contributed a significant role in the diffusion and adoption of agricultural innovations.
44
Meydora, Eki Yoan. "PROSES DIFUSI INOVASI E-AGRIBUSINESS : REGOPANTES PADA END-USER KOMODITAS PERTANIAN DI JABODETABEK." Commed : Jurnal Komunikasi dan Media 3, no. 2 (July 31, 2019): 133. http://dx.doi.org/10.33884/commed.v3i2.982.
Full textAbstract:
This study analyzes the information dissemination process of RegoPantes, an e-agribusiness innovation to connect farmers to agricultural commodity users directly, thus cutting the long chain of distribution. RegoPantes is a platform developed by 8villages to help farmers receive fair price for every agricultural commodity they sell, with the aim to help improve the farmer welfare. The purpose of this study is to identify constraints faced by diffusion agencies that disseminate information about RegoPantes to the public specifically housewives as end users of agricultural commodities. This study uses descriptive qualitative methods to provide an in-depth understanding of the diffusion of RegoPantes. Data was collected through in-depth interviews and document studies. Based on the result of research known that 8villages chose a public relations approach that included press relations in disseminating information about RegoPantes. Although there have been many publications from various media, the adoption of innovations by end users of agricultural commodities is still not optimal.
45
Montes de Oca Munguia, Oscar, David J. Pannell, and Rick Llewellyn. "Understanding the Adoption of Innovations in Agriculture: A Review of Selected Conceptual Models." Agronomy 11, no. 1 (January 13, 2021): 139. http://dx.doi.org/10.3390/agronomy11010139.
Full textAbstract:
Models can provide a structured way to think about adoption and provide a method to investigate the impacts of different factors in the adoption process. With at least 70 years of research in the adoption of agricultural innovations, there has been a proliferation of adoption models, both conceptual and numerical. This diversity has resulted in a lack of convergence in the way adoption is defined, explained, and measured, causing agricultural extension and policy to rely on a body of literature that is often not able to offer clear recommendations on the variables or mechanisms that can be used to design interventions. We conducted a review of conceptual models to clarify the concepts and approaches used in the practice of modeling adoption in agriculture. We described general adoption conceptual models originating from sociology, psychology, economics, and marketing and reviewed examples of models specifically defined for the study of adoption in agriculture. We also broadly assessed the ability of conceptual models to support building numerical models. Our review covered a range of modeling approaches for diffusion and individual adoption, illustrating different perspectives used in the literature. We found that key elements that should be used in adoption models for agriculture include: a way to assess the performance of the proposed new technology (e.g., relative advantage, both economic and non-economic) in relation to the existing technology or practice in place, the process of learning about this advantage, the interaction between individual decision-making and external influences, and characteristics of potential adopters affecting their attitudes towards the technology. We also detected inconsistencies in how different elements are treated in different conceptual models, particularly behavioral elements such as attitudes, motivations, intentions, and external influences. In terms of modeling, the main implication of these inconsistencies is the difficulty to generate quantitative evidence to support these models since multiple interpretations make it difficult to achieve consistency in the definition of observable, measurable variables that can be used to quantify cause-effect relationships. Suggestions for further research in the field include: questioning whether the adoption of all technologies and practices can be represented by the same adoption or learning process, exploring the dynamics in the relationship between adopters and technology before and after adoption, and questioning the basic assumptions behind the process of individual decision-making models and the role of collective decision-making. Findings from this review can be considered by adoption researchers and modelers in their work to assist policy and extension efforts to improve the uptake of future beneficial agricultural innovations.
46
Mize, Meghan, Cary Trexler, Amanda Crump, Glenn Young, Borarin Buntong, and Karen LeGrand. "Piloting of the Concerns-based Adoption Model: Farmer Concerns About the Participatory Guarantee System in Cambodia." Journal of International Agricultural and Extension Education 27, no. 3 (August 19, 2020): 75–87. http://dx.doi.org/10.5191/iaee.2020.27375.
Full textAbstract:
While there is a large body of adoption and agricultural extension literature on the process of introducing a new technology, agricultural development projects are often expected to produce immediate results that do not always allow for the integration of these theories into practice. The Concerns-based Adoption Model (CBAM) is a framework that places participants at the center of the change process to identify their concerns and challenges, providing a roadmap for projects to guide individuals with the correct support for their particular stage of adoption. CBAM has typically been used for the introduction of new curriculum in formal education. But this study assessed the potential for CBAM to be applied to agriculture innovations. In this study, we adapted and piloted the CBAM “Stages of Concern” model to assess adoption of an agriculture innovation. The innovation is the Participatory Guarantee System (PGS) for Cambodian vegetable farmers. We assessed the potential for CBAM as a tool for agricultural development project management. We found that the adapted survey consistently placed farmers in the anticipated Stage of Concern. Identifying users’ Stages of Concern can inform program designers and practitioners, assisting in tailoring support across the adoption process. CBAM has the potential to inform participatory project design and give project administrators an evidence-based, systematic protocol for assessing the adoption process, adding another tool to the development practitioners’ toolbox. Keywords: Diffusion of Innovations, adoption, project design
47
Bui, Sibylle. "Enacting Transitions—The Combined Effect of Multiple Niches in Whole System Reconfiguration." Sustainability 13, no. 11 (May 29, 2021): 6135. http://dx.doi.org/10.3390/su13116135.
Full textAbstract:
The environmental and social issues caused by agricultural and food distribution practices call for a profound reconfiguration of the agri-food system. This paper is aimed at contributing to a better understanding of the way such a reconfiguration may be fostered. Building on recent developments of transition studies that analyze whole system reconfigurations, it proposes a pragmatist, whole system approach to examine the socio-political dimension of sustainability transitions. Based on the ethnographic and longitudinal study of a unique case of (territorial) agroecological transition in France, it identifies the mechanisms involved in a transition and the way actors enacted them. It characterizes required prior, incremental system changes, and stresses the role of multiple niches that influence simultaneously the various components of the agri-food system. From an action-oriented perspective, these results suggest that transitions may be fostered by: (1) supporting the diffusion of an alternative technological paradigm within the regime that niches may be congruent with; (2) stimulating the development of a diversity of radical innovations related to the various dimensions of the agri-food system and fostering their interactions with the regime; and (3) moving from a technology-driven approach of innovation towards an emphasis on organizational innovations that foster the rebalancing of power relations.
48
Mashur, Mashur, Subagio Subagio, Gargazi Hamid, and Dina Oktaviana. "Pemberdayaan Masyarakat Desa Taman Ayu Melalui Inovasi Teknologi Sistem Integrasi Jagung Dan Sapi (Sijasa)." Sasambo: Jurnal Abdimas (Journal of Community Service) 3, no. 2 (June 30, 2021): 57–69. http://dx.doi.org/10.36312/sasambo.v3i2.422.
Full textAbstract:
Tujuan kegitan PkM ini untuk meningkatkan pendapatan dan kesejahteraan masyarakat khususnya peternak sapi potong serta memperluas lapangan kerja di pedesaan yang disesuaikan dengan potensi agroekosistem wilayah desa, yaitu sistem integrasi tanaman jagung dengan ternak sapi potong (SIJASA). Metode pelaksankaan PKM difusi ilmu pengetahuan dan teknologi dengan tahapan 1) perencaan, 2) Pelaksaan, 3) Pendampingan dan 4) evaluasi. Kegiatan pemberdayaan masyarakat melalui penerapan teknologi SIJASA dapat memberikan hasil yang optimal apabila penerapan metode diseminasi gelar teknologi dikawal dan didampingi oleh peneliti/dosen dari perguruan tinggi dan penyuluh pertanian di lapangan secara berkesinambungan di bawah koordinasi dinas/instansi terkait Community Empowerment of Taman Ayu Village Through Technology Innovation of Corn and Cattle Integration System (Sijasa) The purpose of this PkM activity is to increase the income and welfare of the community, especially beef cattle breeders, and to expand employment opportunities in rural areas that are adapted to the agro-ecosystem potential of the village area, namely the corn crop integration system with beef cattle (SIJASA). The method of implementing PKM is the diffusion of science and technology with stages 1) planning, 2) implementation, 3) mentoring, and 4) evaluation. Community empowerment activities through the application of SIJASA technology can provide optimal results if the application of the technology degree dissemination method is escorted and accompanied by researchers/lecturers from universities and agricultural extension workers in the field on an ongoing basis under the coordination of related agencies/agencies.
49
Baco, M. N., T. Affoukouk, I. Moumouni, and T. Abdoulaye. "Is taking gender into account for development and diffusion of agricultural innovations justified? The case of drought tolerant maize in Northern Benin." Journal of Agricultural Extension and Rural Development 7, no. 10 (October 31, 2015): 290–97. http://dx.doi.org/10.5897/jaerd2015.0720.
Full text
50
Sentíes-Herrera, Héctor Emmanuel, Fernando Carlos Gómez-Merino, Apolonio Valdez-Balero, Hilda Victoria Silva-Rojas, and Libia Iris Trejo-Téllez. "The Agro-Industrial Sugarcane System in Mexico: Current Status, Challenges and Opportunities." Journal of Agricultural Science 6, no. 4 (March 15, 2014): 26. http://dx.doi.org/10.5539/jas.v6n4p26.
Full textAbstract:
Sugarcane cultivation in Mexico occurs under a wide range of socioeconomic, environmental and agricultural conditions, with the last three harvests (2010/2011, 2011/2012 and 2012/2013) providing yields ranging from 36-125 t ha-1 (variation > 347%), with an average yield of 70.2 t ha-1, which is below the world average of 80 t ha-1. The total area allocated to sugarcane production in Mexico is close to 800 thousand hectares, and could rise to nearly 5 million hectares given adequate conditions for its cultivation. This activity generates approximately 1 million direct jobs, 2.2 million indirect jobs, and more than 2.5 billion dollars (0.4% of GDP) per year. Climate change and the rapid market penetration of high fructose corn syrup are among the greatest threats to this agribusiness, including severe disintegration of production processes in the field, industry, commerce, and consumption of cane sugar. Technology lags, low investment, high processing costs and shortcomings in production sales are issues the industry must address by leveraging their resources and coordinating processing links to be more efficient and competitive. Political influence has imposed a suboptimal policy framework to achieve the projected potential. To overcome current lags in the field and refineries within the country, significant innovations across the value-chain are underway, including a robust breeding program, digitalization of sugarcane fields and novel investments in research and development. The sugarcane value-chain has great potential for Mexico, and exploiting this potential is possible if technological, organizational and commercial management innovations currently in progress in fields and factories are applied.