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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Study of Denton's Shopping Goods Trade Losses to Dallas and Fort Worth

Anderson, Roy C. 08 1900 (has links)
"The primary objective of this study was to determine the proportion of shopping goods trade Denton merchants are losing to other cities. A secondary objective was to find reasons for the loss of trade. Since Denton is within the trade orbit of Dallas and Fort Worth, special emphasis was placed on finding the percentage of trade going to these two cities...The major finding of this study is the indication that approximately 81 percent of Denton's retail shopping goods trade is actually done in Denton. "-- leaves 1,58.
2

Разработка модуля информационной системы предприятия на основе математической модели прогнозирования развития рынка E-COMMERCE по ключевым параметрам : магистерская диссертация / Development of an enterprise information system module based on a mathematical model for predicting the development of the E-COMMERCE market by key parameters

Насекина, А. А., Nasekina, A. A. January 2022 (has links)
The dissertation discusses the main methods of sales forecasting for a company with the E-COMMERCE line of business. The optimal model for predicting sales of B2C goods is found, and a method for updating the model using the index of purchasing activity in online stores. A software module developed based on a new mathematical model for forecasting sales for 2022 for the company BOXBERRY SOFT. / В диссертации рассмотрены основные методы прогнозирования продаж для компании с направлением деятельности E-COMMERCE. Найдена оптимальная модель для прогнозирования продаж товара B2C, а также предложен способ модернизации модели с помощью индекса покупательской активности в Интернет-магазинах. Разработан программный модуль на основе новой математической модели для прогноза продаж на 2022 год для компании ООО «БОКСБЕРРИ СОФТ».

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