Theses and Dissertations at Montana State University (MSU)
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Item Model business plan for a retail specialty store(Montana State University - Bozeman, College of Business, 1988) Thorson, Lorene Mai; Chairperson, Graduate Committee: Norman L. Millikin"An estimated 80% of new businesses fail in their first two years, most often because their owners were undercapitalized and didn't have a well-conceived business plan" (Rock 1984, 83). There are formats for business plans in numerous books and pamphlets - no two alike. But, a majority only provide information on what needs to be done, not how to do it or where to find the information. There is a need for a thorough business plan whose process does not intimidate prospective entrepreneurs from completing the task, but one that is thorough, easy to follow and helpful in providing details on where to obtain the information that a business plan calls for.Item Organic produce demand estimation utilizing retail scanner data(Montana State University - Bozeman, College of Agriculture, 1999) Trost, Daniel Roland.; Chairperson, Graduate Committee: David E. Buschena; Gary Brester (co-chair)Retail demand relationships for organic and non-organic bananas, garlic, onions, and potatoes are examined using scanner data from a retail co-operative food store located in Bozeman, Montana. A level version Rotterdam demand specification is used in a six-equation system to estimate Hicksian demand elasticities. The own-price elasticity for organic onions is negative and significant. All other own-price elasticities are not significantly different from zero. This indicates consumers may not be very price sensitive for the goods in question. With few exceptions, the cross-price elasticities which are significant are also positive. Income elasticities are mostly significant and positive. Elasticity measurement may be somewhat imprecise due to a lack of variability in prices and an ambiguous error structure. Key factors influencing the quantities of the produce items purchased include the number of children in a household, the average age of adults in a household, and employment status of the primary grocery shopper. Educational status did not have any significant impact on quantities purchased.