請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17237
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 周雍強 | |
dc.contributor.author | Che-Wei Hsu | en |
dc.contributor.author | 許哲瑋 | zh_TW |
dc.date.accessioned | 2021-06-08T00:02:25Z | - |
dc.date.copyright | 2013-08-20 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-08-15 | |
dc.identifier.citation | 1. Cachon, G. P. (2003). Supply chain coordination with contracts. Handbook in operations research and management science, volume on supply chain management: Design, coordination and operation, 229–339. North Holland: Amsterdam.
2. Chen, Y., Kung, J., Parkes, D. C., Procaccia, A. D., & Zhang, H. (2011). Incentive design for adaptive agents. Process of 10th International Conference on Autonomous Agents and Multiagent Systems, 627-634. 3. Chonko, L. B., Tanner, J. F., & Weeks, W. A. (1992). Selling and sales management in action: Reward preferences of salespeople. Journal of Personal Selling and Sales Management, 12(3), 67-75. 4. Debo, L. G., Toktay, L. B., & Van Wassenhove, L. N. (2008). Queuing for Expert Services. Management Science, 54(8), 1497-1512. 5. Emmons, H., & Gilbert, S. (1998). Returns policies in pricing and inventory decisions for catalogue goods. Management Science, 44(2), 276-283. 6. Kandel, E. (1996). The right to return. Journal of Law and Economics, 39, 329-356. 7. Khouja, M. (1999). The single-period (news-vendor) problem: literature review and suggestions for future research. Omega, International Journal of Management Science, 27, 537–553. 8. Kotler, P. (1994). Marketing management: Analysis, planning, implementing, control. 10th Ed. New York: Prentice-Hall. 9. Lai, G., Debo, L., & Nan, L. (2011). Channel stuffing with short-term interest in market value. Management Science, 57(2), 332–346. 10. Lariviere, M. A. (1999). Supply chain contracting and coordination with stochastic demand. In S. Tayur, R. Ganeshan, & M. Magazine (Eds.), Quantitative Models for Supply Chain Management. (pp. 233-268). USA: Springer. 11. Lunenburg, F. C. (2011). Expectancy theory of motivation: Motivating by altering expectations. International Journal of Management, Business and Administration, 15(1). 12. MacAfee, R. P., & MacMillan, J. (1987). Competition for agency contracts. Journal of Economics, 18(2), 296-307. 13. Matsuyama, K. (2006). The multi-period newsboy problem. European Journal of Operational Research, 171, 170-188. 14. Pasternack, B. A. (1985). Optimal pricing and returns policies for perishable commodities. Marketing Science, 4(2), 166-176. 15. Petruzzi, N. C., & Dada, M. (1999). Pricing and the newsvendor problem: A review with extensions. Operational Research, 47(2), 183-195. 16. Robbins, S. P. (1998). Organizational behavior (8th ed.). New Jersey: Prentice-Hall. 17. Rozhon, T. (2005, February 25). First the markdown, then the showdown. New York Times. 18. Silver, E. A., Peterson, R. (1979). Decision Systems for Inventory Management and Production Planning. New York: John Wiley. 19. Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling. New York: John Wiley. 20. Steenburgh, T., & Ahearne, M. (2012, July). Motivating salespeople: What really works. Harvard Business Review, 71(2), 55-60. 21. Steers, R. M., Bigley, G. A., & Porter, L. W. (1996). Motivation and leadership at work ( 6th ed.). New York: McGraw-Hill. 22. Taylor, T. A., & Xiao, W. (2009). Incentives for retailer forecasting: Rebates vs. returns. Management Science, 55(10), 1654–1669. 23. Tsay, A. A. (2001). Managing retail channel overstock: Markdown money and return policies. Journal of Retailing, 77, 457–492. 24. Tung, S., Wang, L.F., Lin, C.C., Lai, C.H., & Hsu, A. (2008). The use of extended credit (channel stuffing) to avoid reporting losses. Asia-Pacific Journal of Accounting and Economics, 15, 161–182. 25. Wang, C.X., & Webster, S. (2008). Markdown money contracts for perishable goods with clearance pricing. European Journal of Operational Research, 196, 1113-1122. 26. Wang, Y., & Zipkin, P. (2009). Agent’s incentives under buy-back contracts in a two-stage supply chain. International Journal of Production Economics, 120(2), 525-539. 27. Weng, Z. K. (1995). Channel coordination and quantity discounts. Management Science, 41(9), 1509-1522. 28. Zietz, J., & Newsome, B. (2001). A note on buyers agent commission and sales price. Journal of Real Estate Research, 21(3), 245-253. 29. 余朝權 (2005)。組織行為學 (二版)。台北:五南圖書出版股份有限公司。 30. 莊炳中 (2003)。台灣國際型企業財務報表管理之實證研究。國立政治大學會計研究所碩士論文。 31. 陳怡靜 (2012)。供應鏈風險監控─以財務報表資料分析為例。國立台灣大學工業工程學研究所碩士論文。 32. 曾如瑩 (2011)。宏碁財務連三爆、戳破零庫存神話。商業周刊,1229,108-110。 33. 蕭玉華 (2004)。生技公司銷售人員激勵模式之研究─以台灣三家公司為例。國立中山大學國際高階經營管理專班碩士論文。 34. 戴國良 (2006)。組織行為學 (二版)。台北:五南圖書出版股份有限公司。 35. 戴國良 (2012)。通路管理─行銷策略與企劃實戰案例 (三版)。台北:鼎茂圖書出版股份有限公司。 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17237 | - |
dc.description.abstract | 本研究探討代理人在佣金報酬之下的塞貨行為,所謂塞貨是指供給下游超過通路實際需求的存貨數量,通路塞貨浮報了代理人的銷售數據,代理人因此獲得更多的佣金報酬,但在產品銷售期結束後會產生大量剩餘存貨,倘若產品的生命週期較短,這些剩餘存貨會有明顯地價格減損,讓持有存貨的經銷商蒙受損失;故只有在達成供應鏈風險共擔協議之下經銷商才願意提高訂購數量,以減價補償契約為例,製造商要補償經銷商因塞貨造成的存貨減價損失,如此一來,代理人塞貨可能違背了製造商的利潤目標,且塞貨程度不容易在銷售結束之前被查覺,當中產生典型的代理問題,製造商須從激勵設計的階段進行改善。
基於上述背景,本研究以製造商立場建立存貨風險共擔模型,以補償成本分攤機制將部分的存貨減價損失轉嫁給代理人承擔,製造商因此可間接影響代理人的塞貨數量決策。根據數值範例分析的結果,當產品的價格減損程度不高時,製造商可以利用補償成本分攤機制誘導代理人進行適量地塞貨,並增加自身的期望利潤;反之,當產品的價格減損程度很高時,代理人會因為期望補償成本提高而減少塞貨數量,降低通路的存貨減價風險。另外,當經銷商原先的存貨目標較低時,製造商應鼓勵代理人塞貨來增加本身的獲利。一般而言,經銷商備貨會維持在一定的需求滿足率,隨著產品的需求變異增加,製造商與代理人因塞貨而增加的利潤也越高,此時通路塞貨的現象更為明顯。總結以上,補償成本分攤機制可有效控管通路塞貨下的存貨減價風險,確保佣金制度的完備性。 | zh_TW |
dc.description.abstract | This study discusses on channel stuffing motivated by an agent: shipping excess inventory to the downstream channel. Channel stuffing allows an agent to report sales in excess of real demand in order to get more commission. But there is much more remaining stock of a dealer at the end of selling period. If the product life cycle is short, the remaining stock will be significantly price depreciated. The dealer will be damaged owing to holding the remaining stock. Once the dealer takes a huge inventory risk caused by channel stuffing, it will not accept the padding quantities unless getting a risk sharing agreement (i.e. a markdown money contract) with the manufacturer. Then manufacturer has to compensate the inventory markdown losses of dealer, which goes against the purpose of manufacturer’s profit. Since it’s not easy to find out the agent’s padding quantities, there is a classical agent problem between agent and manufacturer.
Base on the above-mentioned, this study in the view of manufacturer to control inventory markdown risks caused by channel stuffing. In our model, manufacturer and agent share the inventory markdown risks together by the apportionment of compensation cost. So that manufacturer can control the padding quantities indirectly. According to the result of numerical analysis, manufacturer could improve its profit with a proper degree of padding quantities when the product price depreciation is slight. On the contrary, manufacturer should induce agent to reduce the padding quantities when the product price depreciation is serious. In addition, we also know that manufacturer should induce more pads of agent when dealer’s original order up to level is low. At the result of keeping the constant full-fill rate by dealer, the more variance of demand the more extra profit due to channel stuffing. In conclusion, manufacturer could effectively control inventory markdown risks by the apportionment of compensation cost. This mechanism ensures the completeness of an incentive plan of commission compensation. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T00:02:25Z (GMT). No. of bitstreams: 1 ntu-102-R00546027-1.pdf: 3625774 bytes, checksum: afab375d758a09ad73f195b113600353 (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | 目錄
口試委員會審定書 # 誌謝 i 摘要 ii Abstract iii 目錄 iv 圖目錄 vii 表目錄 viii Chapter 1 緒論 1 1.1 研究背景與動機 1 1.2 問題描述 2 1.3 研究目標 4 1.4 研究範疇 4 1.5 論文架構 5 Chapter 2 文獻回顧 6 2.1 動機與激勵理論 6 2.1.1 動機理論 6 2.1.2 激勵理論 7 2.2 激勵制度 10 2.3 塞貨議題 12 2.3.1 投資評價與塞貨 12 2.3.2 佣金激勵與塞貨 15 2.3.3 專家增加不必要的服務 16 2.3.4 塞貨造成的財報變化 17 2.3.5 延長信用期間 18 2.4 報童模型 18 2.5 供應鏈風險共擔契約 21 2.5.1 買回契約 21 2.5.2 減價補償契約 23 Chapter 3 存貨風險共擔模型 25 3.1 模型架構 25 3.1.1 符號說明 25 3.1.2 研究假設與模型架構 26 3.2 通路塞貨與存貨責任分攤 27 3.2.1 經銷商的訂購行為 28 3.2.2 代理人的塞貨行為 28 3.2.3 製造商分攤剩餘存貨 29 3.3 製造商與代理人的決策互動 31 3.3.1 代理人的塞貨數量決策 31 3.3.2 製造商的補償成本分攤設計 33 Chapter 4 模型分析與數值範例 37 4.1 決策變數分析 37 4.2 環境參數分析 40 4.2.1 價格減損率 (β) 的影響 41 4.2.2 經銷商原先存貨目標 (S) 的影響 44 4.2.3 產品需求變異 (u) 的影響 45 Chapter 5 結論與建議 47 5.1 研究結果 47 5.2 未來研究方向 48 參考文獻 50 附錄 53 | |
dc.language.iso | zh-TW | |
dc.title | 以補償成本分攤機制控管通路塞貨之存貨減價風險 | zh_TW |
dc.title | Controlling Inventory Markdown Risks of Channel Stuffing by the Apportionment of Compensation Cost | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 巫木誠,洪一薰 | |
dc.subject.keyword | 通路塞貨,激勵設計,減價補償契約,存貨減價風險,補償成本分攤, | zh_TW |
dc.subject.keyword | Channel Stuffing,Incentive Design,Markdown Money Contract,Inventory Markdown Risks,the Apportionment of Compensation Cost, | en |
dc.relation.page | 53 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2013-08-15 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
顯示於系所單位: | 工業工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-102-1.pdf 目前未授權公開取用 | 3.54 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。