PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
| Autor: | Melissa Galdino Martos, Adriana Barbosa Santos, Natália Soares Janzantti, Julia Muchatte Trento |
|---|---|
| Jazyk: | Spanish; Castilian |
| Rok vydání: | 2017 |
| Předmět: |
Service (business)
Engineering food services multiple regression LC8-6691 business.industry Productive capacity Regression analysis Education (General) General Medicine Demand forecasting Special aspects of education marketing research Market research university management Residence Relevance (information retrieval) Marketing L7-991 business Socioeconomic status quality management |
| Zdroj: | Revista Gestão Universitária na América Latina, Vol 10, Iss 2, Pp 210-228 (2017) |
| ISSN: | 1983-4535 |
| Popis: | This paper aims to examine the meal demand forecasting in a University Dining Service (UDS) with short supply. The research derived from low productive capacity problems faced in some campus of the São Paulo State University (UNESP), which do not meet all demand. To estimate the proportion of people truly interested in the dining services and to calculate the surplus of non - service, it was suggested a design covering a combination of statistical techniques suc h as multiple regression analysis, diagnostic tests measurements, ROC curve, supported by a market research with quantitative approach. With the utilization of these techniques combination, it was analyzed information based on socioeconomic profiles, menu requirements, reason for eating in the UDS, and the food habits of 544 academic people. After analysis, it was estimated a surplus of 311 daily non - services (78% over than offer). Most UDS users are undergraduate students in vulnerable financial condition s for food and residence; which use the UDS because of price; living near the campus; and are moderately demanding about the menu. The conclusions reinforce the relevance of contextual information about the service user in the demand forecasting model aimi ng to increase the estimate accuracy of quantity of non - service. |
| Databáze: | OpenAIRE |
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