933 resultados para Marketing of farm produce.


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Marketing of information services is now an important goal of librarians all over the ~orld t? attract mor~ users to the libr~ry. thereby promoting user satisfaction. Marketing IS considered ~s ~n Integr~1 part of libraries and information centres mainly due to the developments In information t.echnology, information explosion, and declining library budgets. Kotler defines marketing as the "analysis, planning, implementation and control o~ carefully formulated programs designed to bring about voluntary exchanges of values WIth target markets fo~ the ~~rpos~ of~chievingorganizational objectives". Organizations suc.h as museums, unrversittes, libraries, and charities need to market their causes and their products to gain. political and social support as well as economic support (Kotler, 1995). In the marketing world people are now migrating from the traditional Four P ~lodelto th~ S~VE mode! (Alt~ns~n, 2013). According to the SAVE model, marketing III an orgarusanon must grve pnonty to 'Solutions' instead of the features or functions of~he.'Product" Similarily it is to focus on 'Access', instead of ,Place'; 'Value' instead of Price" so that the benefits are more stressed, rather than production costs. Instead of :Proliloti.on', marketi~g has. to conc~ntrate on 'Educating' the customers, providing lJlfo~mahol~ about t~eJr specific req~lrements, instead of relying on advertising, public rel~tlons, direct selling etc. From a library point ofview, to ensure maximum utilization of library ~ervices there is an increasing need for definite marketing plans to exploit the techn.ologlcal dcvelop",len~s so ~s to entice the users. By anticipating their changing needs and ~y co.mmulllcatl~g WIth them it should be possible to devise strategies to present various library services and products in a perceptive style.

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El vertiginoso y competitivo panorama actual de los negocios, hace del mercadeo una herramienta muy importante para crecer o incluso sobrevivir. Hay muchas teorías alrededor de como vender un producto, servicio o idea, sin embargo la mayoría de estas consideran sólo las preferencias expresadas de forma consciente y las decisiones racionales. Este trabajo pretende hacer un acercamiento a las teorías de la neurociencia, como la sinergía entre los sentidos del ser humano y de como estas pueden nutrir el ámbito del mercadeo, por ello, se van a estudiar bibliografía relevante en torno a esta área para enmarcar el propósito del estudio. Después de la información obtenida a través de esta revisión, se analizaran dos importantes ejemplos de empresas mundialmente conocidas que han hecho uso de la neurociencia para el desarrollo de su mercadeo. Después de esto se concluye, a través de la información estudiada y analizada, cómo la neurociencia y las teorías multisensoriales pueden afectar el mercadeo de los diferentes productos y servicios. Este documento pretende vislumbrar efectos del mercadeo sobre las preferencias que nuestros cerebros muestran a través de la neurociencia, incluso si no sabemos sobre ellas.

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This paper presents the method and findings of a contingent valuation (CV) study that aimed to elicit United Kingdom citizens' willingness to pay to support legislation to phase out the use of battery cages for egg production in the European Union (EU). The method takes account of various biases associated with the CV technique, including 'warm glow', 'part-whole' and sample response biases. Estimated mean willingness to pay to support the legislation is used to estimate the annual benefit of the legislation to UK citizens. This is compared with the estimated annual costs of the legislation over a 12-year period, which allows for readjustment by the UK egg industry. The analysis shows that the estimated benefits of the legislation outweigh the costs. The study demonstrates that CV is a potentially useful technique for assessing the likely benefits associated with proposed legislation. However, estimates of CV studies must be treated with caution. It is important that they are derived from carefully designed surveys and that the willingness to pay estimation method allows for various biases. (C) 2003 Elsevier Science B.V. All rights reserved.

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A Bayesian method of classifying observations that are assumed to come from a number of distinct subpopulations is outlined. The method is illustrated with simulated data and applied to the classification of farms according to their level and variability of income. The resultant classification shows a greater diversity of technical charactersitics within farm types than is conventionally the case. The range of mean farm income between groups in the new classification is wider than that of the conventional method and the variability of income within groups is narrower. Results show that the highest income group in 2000 included large specialist dairy farmers and pig and poultry producers, whilst in 2001 it included large and small specialist dairy farms and large mixed dairy and arable farms. In both years the lowest income group is dominated by non-milk producing livestock farms.