English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52374/87459 (60%)
Visitors : 9150061      Online Users : 196
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105365

    Title: 換購機制下多世代耐用品的最適訂價策略
    Other Titles: Optimal pricing strategy for multi-generations durable products with a trade-in program
    Authors: 高逸峰;Gao, Yi-Feng
    Contributors: 淡江大學企業管理學系碩士班
    羅惠瓊;Lo, Hui-Chiung
    Keywords: 訂價策略;耐用品;多世代產品;換購行為;新進顧客;Pricing Strategy;Durable Products;Multi-generation Products;Trade-in;New Customers
    Date: 2015
    Issue Date: 2016-01-22 14:54:15 (UTC+8)
    Abstract: 隨著科技不斷地創新發展和市場競爭的加劇,舊款產品與技術隨時都會隨著科技不斷地創新發展和市場競爭的加劇,舊款產品與技術隨時都會被新的技術和產品所取代。企業為了在激烈的競爭中存活,需要不斷的更新產品,來獲得更多的利潤及專業技術的積累,以保證企業在科技高速發展的環境下存活更久。同時企業為了獲得更多利益,不斷地開發新市場,以尋求新的利潤成長空間。與此同時,零售商為了增加其新款產品的銷量,推出了利用舊產品換購新產品的促銷行為,促使更多的顧客更換新款產品。另一方面,這些被更換的舊產品通常仍有使用價值而可被轉賣到二手市場,進而提供了消費者有多元的考慮,即在未使用過的多代全新產品與二手產品之間的選擇。有鑑於此,本研究是主要針對產品品質不斷升級的多代耐用品,且考量換購行為和新進顧客的影響下,探討多代產品的最適訂價與訂購量,以達製造商和零售商的最佳利潤。另外,本研究亦進行了部分重要參數因子的敏感度分析,以了解它們對最適解及利潤的影響。
    In recent years, technological innovations have become more and more popular, and customers prefer the latest generation products to the old ones. The company has kept upgrading their products in order to meet customers’ demands. Therefore, multi- generation products are sold at the same time. The new generation products compete with the old ones. So, how does the company reduce competition between products of different versions?
    In order to increase the product market share, many retailers offer the trade-in service, which means customers can sell old generation products as part payment for buying the new products. That service will promote the sale of new products effectively. Meanwhile, developing a new market is also an important strategy to increase company income.
    In addition, the second-hand product is also an important issue in durable study. This research explores the pricing strategies of multi-generation products at the same time, which means that in the situation of the original models, the new, original and used products all exist in the product market. Considering that different prices of various products have different impacts on product sales and firm profits, the company has to develop pricing strategies to maximize corporate profits. In addition, this study also takes into consideration the trade-in services and new market. On that basis, this study builds model to assess the optimal prices of products in different scenarios, analyzing the optimal strategies in different economic conditions.
    The results reveal that product quality, durability, trade-in service and the scale of new market will directly affect their product pricing and profits. Among them, if the quality of new products increases, the development cost of new products will increase. So, the manufacturer should decide the quality of the new products according to the ability of the development in order to achieve higher profits. Increasing the scale of the new market will also boost the profits of the total supply chain, which implies developing new market is an effective way to improve profits. Furthermore, the more the residual value of the used products, the higher the total profit. Also, if the extra cost for providing the trade-in service is simply offered by the retailer, the manufacturer will not get higher profits. Instead, if the manufacturer and retailer work together, both will get more benefits from the trade-in service.
    Appears in Collections:[企業管理學系暨研究所] 學位論文

    Files in This Item:

    File Description SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback