群集與產品多樣性對於賣家決策之影響｜國立中央大學博碩士論文系統

簡易檢索 / 詳目顯示

回結果列表

研究生：	艾絲雅 Elsya Dhana Alfira
論文名稱：	群集與產品多樣性對於賣家決策之影響 The Impact of Clustering and Product Variety on Seller's Decision
指導教授：	曾富祥
口試委員:
學位類別：	碩士 Master
系所名稱：	管理學院 - 工業管理研究所 Graduate Institute of Industrial Management
論文出版年：	2018
畢業學年度：	106
語文別：	英文
論文頁數：	60
中文關鍵詞：	集群效應、產品多樣性、消費者行為
外文關鍵詞：	Cluster effect, Product variety, Consumer’s behavior
相關次數：	點閱：14 下載：0
分享至:	分享至facebook 分享至twitter

查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

當賣家想要在市場上開一家新店時，他必須做幾件決定支持他的企業，為了盡可能賺取高利潤而必須決定他的商店位置，以及產品多樣性在我們的日常生活中，我們通常會看到同一地區的一群銷售者出售相似產品。通常，消費者更喜歡去有多家店舖的地區而不是只提供一家特定商店的地區，因為商店與商店的位置靠近，因此不需要招致大量的搜索成本。在每家商店內，賣家會決定銷售多少種產品，一些消費者非常喜歡看到多種產品選擇，而一些消費者可能會在選擇產品時感到困惑。為了解決賣方的決定問題，我們開發消費者的模型盈餘找到最佳的位置和產品數量以提供最大的利潤。我們使用該模型來分析與群集相關的各種情況以及產品多樣性效應。基於特定的參數設置，結果表明集群效應可以增加消費者的剩餘，使賣方更喜歡在現有商店旁邊開店以獲得更多消費者。同時產品多樣性，結果表明存在一範圍的最優解決方案，意味著提供太多產品種類對賣方無益，另一方面若提供過少產品種類會使商店對消費者購買的吸引力下降。

When seller wants to open a new store in the market, he has to make several decisions to support his business, some of the important decisions are the position of his store and the number of product variety he wants to offer in order to earn profit as high as possible. In our everyday life, we commonly see a group of seller who sell the similar product in the same area. Usually, consumers are prefer to go to those kinds of area rather than the area that only provide one particular store because they don’t have to incur a lot of search costs since the location of the stores are close to each other. Within each stores, the seller will decide how many products to be sold. Some consumers are very fond of seeing several options of the products, while some of them might find it confusing to pick one among those options. To address those phenomenon related to the seller’s decision, we develop a model of consumer’s
surplus to find the optimal location and number of product to offer which will give maximal profit. We use the model to analyze various cases related to the cluster and product variety effects. Based on the particular selected parameter settings, the result shows that cluster effect can increase consumer’s surplus such that the seller prefer to open the store next to the existing store to gain more consumers. While for the product variety, the result shows that there is a range of the optimal solution which implies that offering too many products will harm the seller while offering too few products will make the store less attractive for the consumers to make a purchase.

Abstract ........................................................................................................................... i
Contents ......................................................................................................................... ii
List of Table .................................................................................................................. iv
List of Figure.................................................................................................................. v
Chapter 1 Introduction ................................................................................................... 1
1.1 Background and Motivation ..............................................................................1
1.2 Research objectives ............................................................................................3
Chapter 2 Literature Review .......................................................................................... 5
2.1 Consumer’s behavior .........................................................................................5
2.2 Hotelling Model .................................................................................................7
2.3 Cluster Effects ....................................................................................................9
2.4 Product Variety Effects .................................................................................... 11
Chapter 3 Model .......................................................................................................... 15
3.1 Hotelling Linear Model ....................................................................................16
3.2 Cluster Effect Model ........................................................................................17
3.3 Variety Effect Model ........................................................................................18
3.4 Combined Model .............................................................................................19
Chapter 4 Numerical Example ..................................................................................... 21
4.1 Example of Hotelling Linear Model ................................................................22
4.2 Example of Cluster Effect Model ....................................................................24
4.3 Example of Variety Effect Model ....................................................................25
4.4 Example of Combined Model ..........................................................................27
iii
Chapter 5 Sensitivity Analysis ..................................................................................... 29
5.1 Sensitivity Analysis on 𝛼 ................................................................................29
5.2 Sensitivity Analysis on 𝛿 .................................................................................32
5.3 Sensitivity Analysis on 𝑀................................................................................35
Chapter 6 Analytical Result ......................................................................................... 38
6.1 Analytical Results on Variety Effect Model ....................................................39
6.2 Analytical Results on Combined Model ..........................................................43
6.3 Numerical Example of the Analytical Results .................................................46
Chapter 7 Summary ..................................................................................................... 48
References .................................................................................................................... 50
                                

1. Bernstein, F. and Martínez-de-Albéniz, V. 2016. “Dynamic Product Rotation in the
Presence of Strategic Consumers”. Management Science. Article in Advance, pp.
1-16
2. Brenner, Steffen. 2005. “Hotelling Games with Three, Four, and More Players”.
Journal of Regional Science. Vol. 45, No. 4, pp. 851-864
3. Chen, et al. 2008. “Dual Sales Channel Management with Service Competition”.
Manufacturing & Service Operations Management. Vol. 10, No. 4, pp. 654-675
4. Chernev, Alexander. 2003. “When More Is Less and Less Is More: The Role of
Ideal Point Availability and Assortment in Consumer Choice”. Journal of
Consumer Research. Vol. 30, pp 170-183
5. Čolović, et al. 2016. “The Impact of Clustering On the Business Performance of
Croatian SMHEs”. Economic Research – Ekonomska Istraživanja. Vol. 29, No. 1,
pp. 904-913
6. Hicks, J. R. “The Generalized Theory of Consumers’ Surplus”. The Review of
Economic Studies. Vol. 13, pp. 68–74
7. Hotelling, H. 1929. “Stability in Competition”. Economic Journal. Vol. 39, No. 153,
pp. 41–57
8. Iyengar, Sheena. S. and Lepper, Mark R. 2000. “When Choice is Demotivating:
Can One Desire too much of A Good Thing?” Personality Social Psychology. Vol.
79. No. 6, pp. 995-1006
9. Kuksov, D. and Villas-Boas, J. Miguel. 2010. “When More Alternatives Lead to
Less Choice”. Marketing Science. Vol. 29, No. 3, pp. 507-524
51
10. Li, Youping. 2012. “On Transportation Cost and Product Differentiation in
Hotelling’s Model”. Theoretical Economics Letters. Vol. 2. No. 1, pp. 75-78
11. Newton, Isaac. 1687. “Philosophiae Naturalis Principia Mathematica”
12. Porter, Michael. 1990. “The Competitive Advantage of Nations”. New York: The
Free Press
13. Sajeesh, S. and Raju, Jagmohan S. 2010. “Positioning and Pricing in a Variety
Seeking Market”. Management Science. Vol. 56, No. 6, pp. 949-961
14. Shi, Jian You. 2014. “Cluster Effect On the Stores Location”. Research Thesis of
Graduate Institute of Industrial Management. National Central University, Taiwan
15. Stevens, Joe B. 1993. “The Economics of Collective Choice”. New York:
Westview Press
16. Villas-Boas, J. Miguel. 2009. “Product Variety and Endogenous Pricing with
Evaluation Cost”. Management Science. Vol. 55, No. 8, pp. 1338-1346
17. Yildiz, T. and Aykanat Z. 2015. “Clustering and Innovation Concepts and
Innovative Clusters: An Application on Technoparks in Turkey”. Procedia – Social
and Behavioral Sciences. No. 195, pp. 1196-1205
18. Yin, et al. 2009. “Optimal Markdown Pricing: Implications of Inventory Display
Formats in the Presence of Strategic Consumers”. Management Science. Vol. 55,
No. 8, pp. 1391-1408

簡易檢索 / 詳目顯示

相關論文