跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.136) 您好!臺灣時間:2025/09/20 05:41
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:黃湘茹
研究生(外文):Xiang-Ru Huang
論文名稱:需求價格存貨相依之網路團購決策模型
論文名稱(外文):Online Group-Buying Decision Model with Price and Inventory-Dependent Demand
指導教授:武為棣武為棣引用關係
口試委員:白凢芸葉子明
口試日期:2016-06-29
學位類別:碩士
校院名稱:國立中興大學
系所名稱:行銷學系所
學門:商業及管理學門
學類:行銷與流通學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:42
中文關鍵詞:網路團購價格與需求相依需求與存貨相依
外文關鍵詞:Online group-buyingprice dependent demandinventory-dependent demandnonlinear programming
相關次數:
  • 被引用被引用:3
  • 點閱點閱:354
  • 評分評分:
  • 下載下載:80
  • 收藏至我的研究室書目清單書目收藏:1
本研究的主題乃是為個體零售業者在網路團購此一新型態通路上進行鋪貨時,給予適切的營運建議。網路團購平台如夠麻吉(Gomaji)在2010年進入團購市場,搶下全台灣五成以上的市占率,但因為受限於折扣及條件等限制,自2015年下半年開始,其成長逐步趨緩。有鑑於團購市場成長趨緩,夠麻吉(Gomaji)決定要向強調折扣的團購模式說再見,轉型為吃喝玩樂券平台,並且讓業者自行規畫最適合的優惠模式,提供顧客真正所需,才能與顧客建立長久關係。

透過觀察台灣團購網站,本研究可發現在此類通路上存在某些值得關注的特殊商業行為。首先,顧客若感受到團購網站存貨的數字持續降低時,可能由於口碑與從眾效應的影響,一般顧客會有更想去購買此項產品的動力,因而造成銷貨速度上升的現象。再者,由於團購網站屬於一般民生消費品的市場平台,此類市場上顧客的購買意願與商品訂價呈負相關,較高的銷售價格會提高零售商的利潤,但會降低客戶的購買率;相反地,降低銷售價格往往會提升許多產品銷售率,零售商淤仰賴合適的訂價策略以平衡兩造引力。簡言之,網路團購平台上預置存貨的多寡、產品價格之設定、以及上架週期之研議,皆可能會對消費者的購買需求量造成的影響。因此,本研究針對價格、存貨與需求之間關連性進行探討,藉此推導出網路團購之決策模型,以提供業者作為評估商品販售之參考。

如前所述,本研究推導網路團購決策模型之目的,乃用於支援相關業者執行舖貨上架的營運作業,具體言之,藉由本模式可進一步規劃商品的最適上架週期、備貨數量、以及販售價格,進而為業者謀取最佳利潤。此外,本研究藉由數值分析及敏感度分析以觀察各項變數在網路團購模型之影響程度。經由分析結果之觀察,影響目標模型最劇烈之參數為市場需求量上限,當需求量上限越高,網路團購業者可廣置商品數量,並拉長商品上架時間以提升販售商品之利潤,此結果符合一般商場預期。


Gomaji has entered the group-buying market since 2010. In Taiwan , Gomaji have more than 50 percent market share. In the second half of 2015, limited discounts and other market restrictions have slow down its growing rate. For this reason, Gomaji has decided to transform itself from a discount-oriented group-buying gadget to a coupons platform providing all the activities. Hence more and more product merchants are planning to use this new-style channel to reach their targeted consumers. However, the preferential schemes for merchants to use this channel and increase their benefits are rare in studies to date. Hence a discussion on the issue is presented in this research.
An interesting phenomenon can be observed in this marketing channel. When the inventory level posted on the website is decreasing, it possibly implies that more and more people are consuming this product/service. Due to the word-of-mouth effect, shoppers’ willing to buy can be expanded. For this reason, we assume the group-buying rate is positively correlated with the inventory level in this research. Another factor to the group-buying rate is the pricing strategy. Intuitively, higher prices will increase the retailer’s unit profit, but reduce the group-buying rate. Furthermore, on-line sales horizon also needs to be considered for which can affect both the retailer’s expenditure and the product sales volume. In short, this study uses inter-relationship between price, inventory, sales horizon, and inventory-dependent group-buying rate to derive a decision-support model.

Formulating an online group-buying decision model as a supporting scheme for merchants to determine time horizon, inventory quantity and price, and maximize their total sales profit is the purpose of this research. We use storage capacity, time horizon and price as the decision variables and achieve their optimal closed-form solution. Besides, we use numerical analysis and sensitivity analysis to identify the influence of each parameter in this decision model. The result shows market size is the most significant effect in our model. It is intuitive that online group-buying merchants should increase their initial inventory levels as market size increases.


第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 4
第三節 研究目的 5
第四節 研究流程 6
第二章 文獻探討 7
第一節 團購議題相關研究 7
第二節 需求與存貨相關之研究 10
第三節 價格與存貨相關之研究 12
第三章 模式建構 13
第四章 網路團購上架期間最適分析 19
第一節 網路團購利潤模型最適化分析 19
第二節 商品上架期間對利潤函數之驗證分析 21
第三節 商品販售價格對利潤函數之驗證分析 23
第四節 利潤函數之半負定性驗證 24
第五章 數值分析 25
第一節 網路團購模型分析 25
第二節 網路團購之敏感度分析 26
第六章 結論與未來研究限制 36
第一節 結論與研究貢獻 36
第二節 研究限制與未來研究方向 38
參考文獻 39



(一)中文部分

張瑜紋,2004。購買成本與時間和數量相依下損耗性產品的最佳定價和補貨週期,國立中央大學工業管理研究所碩士論文。
陳炫凱,2007。需求與存貨水準相依下損耗性產品的最佳補貨政策,國立中央大學工業管理研究所碩士論文。
黃竹慈,2007。存貨水準與需求相依之最佳定價,國立中央大學工業管理研究所碩士論文。
崇越論文大賞(民99),結合從眾行為探討影響網路團購購買意願因素。
蔡衣宜,2012。原來不是每個人都想跟團!探討人格特質如何影響知覺風險並進而牽制團購行為,國立政治大學廣告研究所碩士論文。
李佳樺,2012。消費者參與網路團購意願結構模式之研究-生活型態與網路團購經驗之干擾分析,南台科技大學行銷與流通管理研究所碩士論文。
陳曉玫,2013。以人口遷徒理論探討顧客由網路零售至網路團購之轉換意圖, 中國文化大學新聞暨傳播學院資訊傳播學系碩士論文。
(二)網路部分
范詩敏,2015。卡優新聞網,酷朋離台不是沒原因,水土不服的三大因素。取自:
https://goo.gl/BHE1hY
羅至善,2015。中時電子報,創業一點靈-2016創業新趨勢 用大數據放「大」創業思維。取自:https://goo.gl/lHkuBG
何英煒,2016。工商時報,夠麻吉轉型吃喝玩樂券平台。取自:https://goo.gl/yoyANu
鍾榮峰,2015。中央社,網路團購夯 網友消費習慣報你知。取自:
https://goo.gl/yWiyRw
資策會FIND調查,2015。逾3成團購消費者透過行動裝置購物。取自:
http://www.moneydj.com/KMDJ/News/NewsViewer.aspx?a=1868de91-a030-4caa-b3c9-26c5f0f6f96b
月光部落,2013。團購網站怎樣出售貨品和如何向商家收費。取自:
http://goo.gl/Ou8qhm
Mr.6網站,2009。團購網站Groupon驚傳開站一年營收達10億,背後有3點不太一樣的做法。取自:http://mr6.cc/?p=3863
PCDVD數位科技討論區,2004。團購及新品區收費方式。取自:http://www.pcdvd.com.tw/showthread.php?t=421390
(三)英文部分

Adeinat, H., & Ventura, J. A. (2015). Determining the retailer''s replenishment policy considering multiple capacitated suppliers and price-sensitive demand. European Journal of Operational Research, 247(1), 83-92.
Alfares, H. K., & Ghaithan, A. M. (2016). Inventory and pricing model with price-dependent demand, time-varying holding cost, and quantity discounts.Computers & Industrial Engineering, 94, 170-177.
Anand, K. S., & Aron, R. (2003). Group buying on the web: A comparison of price-discovery mechanisms. Management Science, 49(11), 1546-1562.
Balakrishnan, A., Pangburn, M. S., & Stavrulaki, E. (2004). “Stack them high, let’em fly”: lot-sizing policies when inventories stimulate demand. Management Science, 50(5), 630-644.
Chen, C. C., & Chung, M. C. (2015). Predicting the success of group buying auctions via classification. Knowledge-Based Systems, 89, 627-640.
Dana Jr, J. D., & Petruzzi, N. C. (2001). Note: The newsvendor model with endogenous demand. Management Science, 47(11), 1488-1497.
Duan, Y., Li, G., Tien, J. M., & Huo, J. (2012). Inventory models for perishable items with inventory level dependent demand rate. Applied Mathematical Modelling, 36(10), 5015-5028.
Ghoreishi, M., Weber, G. W., & Mirzazadeh, A. (2015). An inventory model for non-instantaneous deteriorating items with partial backlogging, permissible delay in payments, inflation-and selling price-dependent demand and customer returns. Annals of Operations Research, 226(1), 221-238.
Guo, S., Wang, M., & Leskovec, J. (2011). The role of social networks in online shopping: information passing, price of trust, and consumer choice. InProceedings of the 12th ACM conference on Electronic commerce (pp. 157-166). ACM.
Hsu, M. H., Chang, C. M., & Chuang, L. W. (2015). Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan. International Journal of Information Management, 35(1), 45-56.
Kauffman, R. J., Lai, H., & Ho, C. T. (2010). Incentive mechanisms, fairness and participation in online group-buying auctions. Electronic Commerce Research and Applications, 9(3), 249-262.
Kauffman, R. J., Lai, H., & Lin, H. C. (2010). Consumer adoption of group-buying auctions: an experimental study. Information Technology and Management, 11(4), 191-211.

Kauffman, R. J., & Wang, B. (2002). Bid together, buy together: On the efficacy of group-buying business models in internet-based selling. Handbook of electronic commerce in business and society, 99-137.
Khojasteh, M., & Jadid, S. (2015). Decision-making framework for supplying electricity from distributed generation-owning retailers to price-sensitive customers. Utilities Policy, 37, 1-12.
Krommyda, I. P., Skouri, K., & Konstantaras, I. (2015). Optimal ordering quantities for substitutable products with stock-dependent demand. Applied Mathematical Modelling, 39(1), 147-164.
Padmanabhan, G., & Vrat, P. (1995). EOQ models for perishable items under stock dependent selling rate. European Journal of Operational Research, 86(2), 281-292.
Sarker, B. R., Mukherjee, S., & Balan, C. V. (1997). An order-level lot size inventory model with inventory-level dependent demand and deterioration. International Journal of Production Economics, 48(3), 227-236.
Sarkar, B., & Sarkar, S. (2013). Variable deterioration and demand—An inventory model. Economic Modelling, 31, 548-556.
Saha, S., & Goyal, S. K. (2015). Supply chain coordination contracts with inventory level and retail price dependent demand. International Journal of Production Economics, 161, 140-152.
Stavrulaki, E. (2011). Inventory decisions for substitutable products with stock-dependent demand. International Journal of Production Economics, 129(1), 65-78.
Wang, J. J., Zhao, X., & Li, J. J. (2013). Group buying: a strategic form of consumer collective. Journal of Retailing, 89(3), 338-351.
Zhou, Y. W., Zhong, Y., & Li, J. (2012). An uncooperative order model for items with trade credit, inventory-dependent demand and limited displayed-shelf space. European Journal of Operational Research, 223(1), 76-85.
Zhong, Y. G., & Zhou, Y. W. (2013). Improving the supply chain''s performance through trade credit under inventory-dependent demand and limited storage capacity. International Journal of Production Economics, 143(2), 364-370.
Zhang, J., Wang, Y., Lu, L., & Tang, W. (2015). Optimal dynamic pricing and replenishment cycle for non-instantaneous deterioration items with inventory-level-dependent demand. International Journal of Production Economics, 170, 136-145.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊