博碩士論文 984406002 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:35 、訪客IP:3.133.127.147
姓名 王士彥(Shih-Yen Wang)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 距離依存的促銷效果與非對稱型需求對於零售業的影響
(The Impact of Distance-dependent Promotional Effect and Non-symmetric Demand on Retail Industry)
相關論文
★ 以類神經網路探討晶圓測試良率預測與重測指標值之建立★ 六標準突破性策略—企業管理議題
★ 限制驅導式在製罐產業生產管理之應用研究★ 應用失效模式效應分析於產品研發時程之改善
★ 應用倒傳遞類神經網路於TFT-LCD G4.5代Cell廠不良問題與解決方法之研究★ 限制驅導式生產排程在PCBA製程的運用
★ 平衡計分卡規劃與設計之研究-以海軍後勤支援指揮部修護工廠為例★ 木製框式車身銷售數量之組合預測研究
★ 導入符合綠色產品RoHS之供應商管理-以光通訊產業L公司為例★ 不同產品及供應商屬性對採購要求之相關性探討-以平面式觸控面板產業為例
★ 服務品質因子與客戶滿意度關係研究-以汽車保修廠服務為例★ 中長期產銷規劃之個案探討 -以抽絲產業為例
★ 消耗性部品存貨管理改善研究-以某邏輯測試公司之Socket Pin為例★ 家庭購車決策與行銷策略之研究
★ 封裝廠之機台當機修復順序即時判別機制探討★ 計程車車隊派遣作業之研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 消費者效用被用來表示消費者對於一個企業所提供的商品或服務的喜好程度。在一個市場裡有著如價格、品牌、或距離等各種不同的因素影響著消費者效用。而在零售市場中,賣方對於促銷所下的功夫是影響消費者效用的重要因素之一。一個客人的消費者效用會受到零售商宣傳效果的影響,而這個影響的強度會隨著距離變遠而遞減。在我們研究的第一個問題中,我們考量一個供應商及零售商之間的促銷成本分攤決策問題。此問題中顧客需求受到距離依存型的促銷效果影響。我們提供數學模型來幫助管理者決定在考量了距離對宣傳效果影響下的零售價格、廣告支出及供應商分攤廣告支出的比例。我們發現當市場範圍擴大或是距離對於促銷效果的影響降低時,供應商會分攤更高比例的廣告支出。我們提供的數值分析顯示距離依存的促銷效果對於決策及最終利潤有顯著的影響。
除了宣傳效果外,市場潛力、製造成本或是價差彈性等產品特性也是市場中影響產品需求的重要因素。在本研究中,我們還討論一個在單零售商雙製造商供應鏈下考量非對稱需求的訂價及貨架決策問題。我們提供數學模型以決定貨架空間大小、零售價及批發價。我們也進一步討論來自不同製造商的兩產品間市場潛力、製造成本與價差彈性的差異對於各決策的影響。研究的結果顯示一個企業可藉由同時調整市場潛力與價差彈性的混合策略來達成既定的目標獲利。我們還發現一個製造商可提高產品差異性來緩和製造成本上升所帶來的衝擊。此外,我們也發現零售商可經由貨架空間成本管理來控制產品市場潛力或製造成本變化所帶來的影響。在本研究中提供的各模型能幫助管理者解決更符合現實零售市場情境下的決策問題。
摘要(英) Consumer’s utility is used to represent a consumer’s preference for a good or service provided by a firm. There are many factors to influence a consumer’s utility in a market such as price, brand, or distance. Seller’s promotional effort is one of the most important factors in a retail market. A consumer’s utility will be affected by promotional effect from retailers, and this effect is declined with distance. At the first of this study, we consider the promotion cost sharing decision between a supplier and a retailer. The consumer demand is affected by distance-dependent promotional effect. We provide a mathematical model to help managers decide on the retail price, the local advertising expenditures, and the supplier participation rate, with consideration of the influence of distance on the promotional effect. We also find that the supplier’s promotion cost sharing rate increases as the market size increases or the influence of distance on the promotional effect decreases. A numerical example is given to show that the nature of distance-dependent promotional effect has a significant impact on the decisions and profits.
Besides the promotional effect, the product characteristic such as market potential, production cost, or cross-price elasticity would affect a product’s demand in a market. In this study, we additionally discuss a pricing and shelf space size decision problem in a single retailer-two manufacturer supply chain where products from two different manufacturers have non-symmetric market demand functions. Mathematical models are developed to determine the optimal shelf space and retail and wholesale price, and to analyze how differences in the market potential, production cost and cross-price sensitivity of the products affect the optimal solutions. The study results show that a firm can adopt a mixed strategy of using the influence of the market potential and cross-price sensitivity simultaneously to achieve a pre-specified profit. We also show that a manufacturer can use a product differentiation strategy to offset the impact caused by an increase in production cost. Moreover, we find that the retailer can control the influence of a product’s market potential and production cost on the total demand and retail prices via the shelf space cost management. The models provided in our study help managers to solve retail market decision problems under more practical situation.
關鍵字(中) ★ 供應鏈管理
★ 通路合作
★ 距離依存的促銷效果
★ 促銷成本分攤
★ 非對稱型需求
★ 貨架空間管理
關鍵字(英) ★ Supply chain management
★ Channel cooperation
★ Distance-dependent promotional effect
★ Promotion cost sharing
★ Non-symmetric demand
★ Shelf space allocation
論文目次 摘要 ………………………………………………i
Abstract ………………………………………………ii
Table of Content ………………………………………………iii
List of Tables ………………………………………………v
List of Figures ………………………………………………vi
Chapter 1 Introduction ………………………………1
1.1 Background and motivation …………………1
1.2 Problem definition …………………………3
1.3 Research objective …………………………4
1.4 Research methodology and framework ……4
1.4.1 Research methodology ………………………4
1.4.2 Research framework …………………………5
Chapter 2 Literature Review …………………………6
2.1 Promotional effect ……………………………6
2.2 Cooperative advertising ……………………8
2.3 Pricing and shelf allocation problems with symmetric demand ……………………………8
Chapter 3 The impact of the distance-dependent promotional effect ……………………………10
3.1 Distance-dependent promotional effect ………11
3.2 The models with the distance-dependent promotional effect ……………………………14
3.2.1 The leader-follower relationship ……………15
3.2.2 The cooperative relationship …………………19
3.3 The model without the distance-dependent promotional effect ……………………………27
3.4 Numerical Analysis …………………………29
3.5 Remark ………………………………………33
Chapter 4 Impact of non-symmetric demand …………35
4.1 Retail price decisions …………………………36
4.2 Wholesale price decisions ……………………37
4.3 Retailer shelf space size decision………………39
4.4 Analysis ………………………………………44
4.5 Remark ………………………………………51
Chapter 5 Conclusions …………………………………53
References …………………………………………………54
Appendix A Non-cooperative model without the leader-follower relationship …………………59
Appendix B The second order condition proof for the optimal solutions ……………………………62
Appendix C The model without the distance-dependent promotional effect ……………………………66
Appendix D The comparison of profits under different relationships …………………………………69
Appendix E Proof of Lemma 6 ……………………………71
Appendix F Proof of Lemma 7 ……………………………74
Appendix G Proof of Proposition 3 .………………………77
Appendix H The auxiliary expressions for the equations shown in the lemmas and Proposition 3 in Chapter 4 ……………………………………82
Appendix I The other auxiliary expressions used in Chapter 4 ……………………………………84
Appendix J Total demand and retail price under various aa , k , and ca ……………………………… 88
參考文獻 [1] Newell, G. F. (1973). Scheduling, location, transportation and continuum mechanics: some simple approximations to optimization problems. SIAM Journal of Applied Mathematics, 25, 346-359.
[2] Erlenkotter, D. (1989). The general optimal market area model. Annals of Operations Research, 18, 43–70.
[3] Geoffrion, A. M. (1979). Making better use of optimization capability in distribution system planning. IIE Transactions, 11, 96-108.
[4] Langevin, A., Mbaraga, P., Campbell, J. F. (1996). Continuous approximation models in freight distribution: an overview. Transportation Research part B, 30, 163–188.
[5] Burn, L., Hall, R., Blumenfeld, D. E., Daganzo, C. E. (1985). Distribution strategies that minimize transportation and inventory cost. Operations Research, 33, 469–490.
[6] Xie, J., Wei, J. C. (2009). Coordinating advertising and pricing in a manufacturer–retailer channel. European Journal of Operational Research, 197, 785-791.
[7] Jorgensen, S., Sigue, S. P., Zaccour, G. Z. (2000). Dynamic cooperative advertising in a channel. Journal of Retailing, 76, 71–92.
[8] Choi, S. C. (1991). Price competition in a channel structure with a common retailer. Marketing Science, 10, 271-296.
[9] Kurtulus, M., Toktay, L. B. (2011). Category captainship vs. retailer category management under limited retail shelf space. Production and Operations Management, 20, 47-56.
[10] Shubik, M., Levitan, R. (1980). Market structure and behavior. Harvard University Press, Cambridge, 1980.
[11] Krishnan, H., Kapuscinski, R. K., Butz, D. A. (2004). Coordinating contracts for decentralized supply chain with retailer promotional effect. Management Science, 50, 48–63.
[12] Taylor, T. A. (2002). Supply chain coordination under channel rebates with sales effort effects. Management Science, 48, 992-1007.
[13] Tsao, Y. C., Sheen, G. J. (2008). Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payments. Computers & Operations Research, 35, 3562–3580.
[14] Tsao Y. C., Sheen G. J. (2012). Effects of promotion cost sharing policy with the sales learning curve on supply chain coordination. Computers and Operations Research, 39, 1872-1878.
[15] Nair, S. K., Tarasewich, P. (2003). A model and solution method for multi-period sales promotion design. European Journal of Operational Research, 150, 672–87.
[16] Blattberg, R. C., Neslin, S. A. (1989). Sales promotion: the long and the short of it. Marketing letters, 1, 81–9.
[17] Abad, P. L. (2003). Optimal price and lot size when the supplier offers a temporary price reduction over an interval. Computers & Operations Research, 30, 63–74.
[18] Kurata, H., Liu, J. J. (2007). Optimal promotion planning-depth and frequency-for a two-stage supply chain under Markov switching demand. European Journal of Operational Research, 177, 1026–1043.
[19] Nath, P., Nachiappan, S., Ramakrishnan, R. (2010). The impact of marketing capability, operations capability and diversification strategy on performance: A resource-based view. Industrial Marketing Management, 39, 317-329.
[20] Sajadieh, M. S., Jokar, M. R. A., Modarres, M. (2009). Developing acoordinated vendor–buyer model in two-stage supply chains with stochastic lead-times. Computers & Operations Research, 36, 2484–2489.
[21] Beheshti, H., Beheshti, C. (2010). Improving productivity and firm performance with enterprise resource planning. Enterprise Information Systems, 4, 445–472.
[22] Betheshti, H., Hultman, M., Jung, M., Opoku R, Salehi-Sangari E. (2007). Electronic supply chain management applications by Swedish SMEs. Enterprise Information Systems, 1, 255–268.
[23] Calvalho, R., Costa, H. (2007). Application of an integrated decision support process for supplier selection. Enterprise Information Systems, 1, 197–216.
[24] El Saadany, A., Jaber, M. (2008). Coordinating a two-level supply chain with production interruptions to restore process quality. Computers & Industrial Engineering, 54, 95–109.
[25] Guo, J. (2007). Business-to-business electronic market places election. Enterprise Information Systems, 1, 383–419.
[26] Hou, H., Xu, S., Wang, H. (2007). A study on X party material flow: the theory and applications. Enterprise Information Systems, 1, 287–299.
[27] Xu, L. (2011). Information architecture for supply chain quality management. International Journal of Production Research, 49, 183–198.
[28] Chan, H. K., He, H., Wang W. Y. C. (2012). Green marketing and its impact on supply chain management in industrial markets. Industrial Marketing Management, 41, 557-562.
[29] Dutta, S., Bergen, M., John, G., Rao, A. (1995). Variations in the contractual terms of cooperative advertising contracts: An empirical investigation. Market letters, 6, 15-22.
[30] Kim, S. Y., Staelin, R. (1999). Manufacturer allowances and retailer pass-through rates in a competitive environment. Management Science, 18, 59-76.
[31] Karray, S., Zaccour, G. (2006). Could co-op advertising be a manufacturer’s counterstrategy to store brands? Journal of Business Research, 59, 1008-1015.
[32] Karray, S., Zaccour, G. (2007). Effectiveness of coop advertising programs in competitive distribution channels. International Game Theory Review, 9, 151-167.
[33] Huang, Z., Li, S. X., Mahajan, V. (2002). An analysis of manufacturer–retailer supply chain coordination in cooperative advertising. Decision Sciences, 33 , 469–494.
[34] Corstjens, M., Doyle, P. (1981). A model for optimizing retail space allocations. Management Science, 27, 822–833.
[35] Corstjens, M., Doyle, P. (1983). A dynamic model for strategically allocating retail space. Journal of Operational Research Society, 34, 943–951.
[36] Martin-Herran, G., Taboubi, S., Zaccour, G. (2006). The impact of manufacturers’ wholesale prices on a retailer’s shelf-space and pricing decisions. Decision Science, 37, 71–90.
[37] Bultez, A., Naert, P. (1988). S.H.A.R.P.: Shelf allocation for retailers’ profit. Marketing Science, 7, 211–231.
[38] Bultez, A., Gijsbrechts, E., Naert, P., Vanden Abeele, P. (1989). Asymmetric cannibalism in retail assortments. Journal of Retailing, 65, 153–192.
[39] Balakrishnan, A., Pangburn, M. S., Stavrulaki, E. (2004). Stack them high, let’em fly: Lot sizing policies when inventories stimulate demand. Management Science, 50, 630–644.
[40] Chen, Y., Hess, J. D., Wilcox, R. T., Zhang, Z. J. (1999). Accounting profits versus marketing profits: A relevant metric for category management. Market Science, 18, 208-299.
[41] Wang, Y., Gerchak, Y. (2001). Supply-chain coordination when demand is shelf space dependent. Manufacturing and Service Operation Management, 3, 82–87.
[42] Urban, T. L. (1998). An inventory-theoretic approach to product assortment and shelf space allocation. Journal of Retailing, 74, 15–35.
[43] Ghemawat, P. (2001). Distance still matter: the hard reality of global expansion. Harvard Business Review, 79, 137-147.
[44] Nash, J. F. (1950). The bargaining problem. Econometrica, 18, 155-162.
[45] McGuire, T. W., Staelin, R. (1983). An industry equilibrium analysis of downstream vertical integration. Marketing Science, 2, 161-191.
[46] Vives, X. (2000). Oligopoly pricing: old ideas and new tools. The MIT Press, Cambridge, MA.
[47] Rajagopalan, S., Xia, N. (2012). Product variety, pricing, and differentiation in a supply chain. European Journal of Operational Research, 217, 84-93.
指導教授 沈國基、葉英傑(Gwo-Ji Sheen Yingchieh Yeh) 審核日期 2015-10-15
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明