An analysis of the organizational field of B.C. agriculture was conducted to explore the politics of the innovation process. Agricultural innovations in organic farming, synthetic agrichemicals and biogenetic engineering were studied at the individual, organizational and interorganizational levels. Research questions regarding the innovation decision—making process, innovation championship, organizational politics, organization theory and interorganizational networks were explored. A total of 137 persons (organic and conventional farmers, BCMAFF employees, farm organization employees) were interviewed in this research study. Data was collected via semi—structured interviews, questionnaires, and analysis of publications to investigate a total of 28 research questions. Similarities and differences between organic and conventional farmers in respect to their socioeconomic characteristics, motivations, actions and environmentalist beliefs were identified. Organic farmers basis for their innovation adoption decisions was found to be largely informed by their environmentalist philosophy whereas the primary motivating factor for conventional farmers was economic rather than ideological. Case studies of 33 farm organizations (20 conventional and 13 organic) were conducted. Organizational fields were found to be defined not only in terms of products, services and geographic location but also in terms of ideology. Within the conventional agriculture organizational field there was a high degree of homogeneity in organizational structures and decision making processes as well as close collaboration with government policy makers. Within the organic agriculture organizational field there was homogeneity in production practices, but heterogeneity in organizational structures, goals and decision making processes based on the radicalness of the environmentalist philosophy of an organization’s membership. The formation and operation of interorganizational networks in each organizational field confirmed previous findings of the critical problems in overorganized and underorganized networks. A longitudinal analysis of organizational politics in the organic agriculture organizational field revealed that institutionalization processes engender political contests among competing interests. The successful championship of an innovative government regulatory system was attributed to the early use of a wide variety of collaborative and competitive political games. Opponents’ efforts to neutralize champions’ escalation of commitment during the later stages of the innovation development process proved to be ineffective.

An analysis of the organizational field of B.C. agriculture was conducted to explore the politics of the innovation process. Agricultural innovations in organic farming, synthetic agrichemicals and biogenetic engineering were studied at the individual, organizational and interorganizational levels. Research questions regarding the innovation decision—making process, innovation championship, organizational politics, organization theory and interorganizational networks were explored. A total of 137 persons (organic and conventional farmers, BCMAFF employees, farm organization employees) were interviewed in this research study. Data was collected via semi—structured interviews, questionnaires, and analysis of publications to investigate a total of 28 research questions. Similarities and differences between organic and conventional farmers in respect to their socioeconomic characteristics, motivations, actions and environmentalist beliefs were identified. Organic farmers basis for their innovation adoption decisions was found to be largely informed by their environmentalist philosophy whereas the primary motivating factor for conventional farmers was economic rather than ideological. Case studies of 33 farm organizations (20 conventional and 13 organic) were conducted. Organizational fields were found to be defined not only in terms of products, services and geographic location but also in terms of ideology. Within the conventional agriculture organizational field there was a high degree of homogeneity in organizational structures and decision making processes as well as close collaboration with government policy makers. Within the organic agriculture organizational field there was homogeneity in production practices, but heterogeneity in organizational structures, goals and decision making processes based on the radicalness of the environmentalist philosophy of an organization’s membership. The formation and operation of interorganizational networks in each organizational field confirmed previous findings of the critical problems in overorganized and underorganized networks. A longitudinal analysis of organizational politics in the organic agriculture organizational field revealed that institutionalization processes engender political contests among competing interests. The successful championship of an innovative government regulatory system was attributed to the early use of a wide variety of collaborative and competitive political games. Opponents’ efforts to neutralize champions’ escalation of commitment during the later stages of the innovation development process proved to be ineffective. / Business, Sauder School of / Graduate

Call number: LD2668 .T4 1985 S642 / Master of Landscape Architecture

D.Litt. et Phil. (Geography) / The aim of this study is to integrate LANDSAT multispectral digital data with agricultural statistics, to analyse, explain and forecast the spatial variation of crop production in the Vermaas development area (south of Lichtenburg, Western Transvaal). This aim answers the urgent need for a reliable agricultural data base that can be quickly and cheaply obtained and used for the timely planning of an environment's limited agricultural resources. With such a data base available, early decisions about imports and exports can be taken in connection with the expected agricultural commodities of an area: the year-to-year fluctuation in crop yields is still the main problem in relation to the overall planning of agricultural food production. The study has been conducted according to two main analytical phases, i.e. (i) the interpretation of the data, which in turn was subdivided into: - the cartographic-analytical evaluation of the agricultural information, and - the recognition of rural land-use patterns from LANDSAT digital data. (i i) the integration process. The LANDSAT land-use information was integrated with the observed agricultural statistics with the aid of two integration models: an empirical and an operational model. The data for the research consisted of the multispectral digital data of LANDSAT-l and available agricultural statistics. The LANDSAT data was acquired from the Satellite Remote Sensing Centre at Hartbeeshoek, while the agricultural data was obtained from the Department of Agriculture (Highveld Region) and other official soures. These analytical phases were conducted at the computer centres of the CSIR and RAU. Existing computer programme packages were used - the VICAR system for pattern recognition, and the BMD and SYMAP systems for the analytical evaluation of the agricultural information and for the implementation of the integration models. The following results were obtained: 3.1 The integration of the LANDSAT information with the agricultural statistics was reasonably successful. The success of any study of this nature can be ascertained from the accuracy with which the necessary information is derived from the LANDSAT multispectral digital data. 3.2 This analysis highl ighted the cultivated area as a major factor for consideration. The type of crop and the area covered by it are the two most important sets of information that can be obtained from the LANDSAT data and used in an integration model. 3.3 The results (predicted crop yields) that were obtained from the integration process could probably be improved, if the detrimental influence of collinearity, which existed between some of the agricultural variables, was el iminated. 3.4 The identification of different crops from the LANDSAT digital data was not possible - a fact which can be attributed to the lack of a crop calendar for this farming area. Besides the above-mentioned results, the following can also be listed: 4.1 The spatial variation In maize production was well analysed in terms of the integration results, In spite of the fact that the accuracy of the agricultural statistics was, in certain cases, questionable. 4.2 The important influence of time upon the spatial variation in crop production could not be implicated, because of the one point in time consideration of this study. 4.3 Only the agricultural variables that were directly related to farm area could be used as input data for this study. 4.4 The potential usefulness of the LANDSAT digital data as geographical information is mainly determined by its quality (cloudcover, resolution, etc.). 4.5 The application of multispectral digital data depends on certain specific techniques, with which the researcher must acquaint himself for a successful and useful interpretation of the digital data.

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M. Tech. (Department of Information and Communication Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / In most African countries, agriculture remains a key factor in economic development with over half the population living in rural areas and directly or indirectly deriving their livelihoods from agriculture. Agriculture still faces several challenges that prevent it from being able to make its maximum contribution to economic expansion, despite it being the backbone for economic growth. As a major cause for change in all spheres of human lives, information and communications technology (ICT) has played a positive role in different segments of society, such as agriculture, education and community development. However, it could play a greater role in agriculture by assisting farmers who face challenges on a daily basis. Farmers may lack an operative way to gather farm produce data, to obtain information from other interested parties (e.g. agriculture advisers) and to record farm input expenses and expenditure on farm chemicals. These and other challenges experienced by farmers may be solved by gaining ICT access through using available technologies. Farmers need to benefit from earlier unexploited opportunities regarding the provision of cost-effective communication and learn about advanced practices previously unknown to them. In this research study, the researcher studied factors that influence farmers in the adoption of a mobile crowdsourcing portal for agriculture purposes. A model was used to measure the perception of farmers about the technology after having used it for a season. The model consisted of the following variables: quality factors; perceived ease of use; experience; perceived usefulness; attitude toward using; and behavioural intention to use. A test for reliability and validity proved that the model was acceptable. The results of the data analysis indicated that there was a strong relationship between the multiple independent factors and the dependent variable in the model. The researcher concluded that mobile crowdsourcing applications are perceived as enhancing agricultural development in remote areas with regard to data accessibility, the development of crop production, support in the decision-making process and their importance in sustaining agricultural activities.