資訊管理學報
陳靜枝;蔣明晃;何定為;
頁: 153-174
日期: 2007/01
摘要: 透過全業銷售情報的收集，全業可以充分掌握與了解消費者對各種商品種類、價格、通路及促銷活動的反應，做出有效的商品管理重要決策。本研究的主要目的就是提出一個流通業共同銷售情報加值處理的應用模式，亦即運用基本銷售資料對市場狀況進行推估。本研究在零售市場推估上得到數個成果：建立零售業態銷售額推估模式決策支援系統之流程；建立零售業態銷售額推估模式決策支援架構，包括整體架構與組成元素的關係之分析；建構計算與推估模式庫；透過產品分類與地區性這兩個構面，進行跨業態分析。本研究成果已完成技術移轉成為一個新的資訊服務商業模式，透過這個研究與推估雛形的建立，使得業者可以運用共同銷售情報系統進行加值分析。
關鍵字: 零售市場;推估模式;決策支援系統;銷售推估與預測;共同銷售情報;
Abstract: This study considers the problem of estimating the market size for individual items in the retail grocery industry by sampling the point-of-sales (POS) data from a small number of stores. Using publicly-accessible data provided by each chain and the information from the retailers' financial reports (e.g., number of stores and total revenue), the sampled POS data can be translated into market size information for each item in each area. This research culminated in the development of an algorithm called the POS Market Estimation Heuristic Algorithm (PMEHA), which uses heuristic rules and sampled POS data to estimate overall market information for each area. This algorithm was employed in a prototype designed to calculate market size estimations. Through use of a simple cross analysis procedure, the results for different types of retailers-such as convenience stores, supermarkets, and hypermarkets-can be combined, thus making PMEHA useful for many different retail channels. The algorithm was successfully integrated into a new Retail Sales Information Sharing System (RSISS), and an innovative business model was created to insure that the RSISS could be run profitably once the system had been transferred from a non-profit context into the private sector.
Keywords: Market Size Estimation;Retailing;POS Data Analysis;Joint Sales Information System;Heuristic Algorithm;
瀏覽次數: 28738 下載次數: 25054
引用 導入Endnote
頁: 153-174
日期: 2007/01
摘要: 透過全業銷售情報的收集，全業可以充分掌握與了解消費者對各種商品種類、價格、通路及促銷活動的反應，做出有效的商品管理重要決策。本研究的主要目的就是提出一個流通業共同銷售情報加值處理的應用模式，亦即運用基本銷售資料對市場狀況進行推估。本研究在零售市場推估上得到數個成果：建立零售業態銷售額推估模式決策支援系統之流程；建立零售業態銷售額推估模式決策支援架構，包括整體架構與組成元素的關係之分析；建構計算與推估模式庫；透過產品分類與地區性這兩個構面，進行跨業態分析。本研究成果已完成技術移轉成為一個新的資訊服務商業模式，透過這個研究與推估雛形的建立，使得業者可以運用共同銷售情報系統進行加值分析。
關鍵字: 零售市場;推估模式;決策支援系統;銷售推估與預測;共同銷售情報;
零售市場各單品銷售總額之啟發性推估演算法
Abstract: This study considers the problem of estimating the market size for individual items in the retail grocery industry by sampling the point-of-sales (POS) data from a small number of stores. Using publicly-accessible data provided by each chain and the information from the retailers' financial reports (e.g., number of stores and total revenue), the sampled POS data can be translated into market size information for each item in each area. This research culminated in the development of an algorithm called the POS Market Estimation Heuristic Algorithm (PMEHA), which uses heuristic rules and sampled POS data to estimate overall market information for each area. This algorithm was employed in a prototype designed to calculate market size estimations. Through use of a simple cross analysis procedure, the results for different types of retailers-such as convenience stores, supermarkets, and hypermarkets-can be combined, thus making PMEHA useful for many different retail channels. The algorithm was successfully integrated into a new Retail Sales Information Sharing System (RSISS), and an innovative business model was created to insure that the RSISS could be run profitably once the system had been transferred from a non-profit context into the private sector.
Keywords: Market Size Estimation;Retailing;POS Data Analysis;Joint Sales Information System;Heuristic Algorithm;
瀏覽次數: 28738 下載次數: 25054
引用 導入Endnote