跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.17) 您好!臺灣時間:2026/06/15 20:07
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

我願授權國圖
: 
twitterline
研究生:彭詩云
研究生(外文):Shih-Yun Pon
論文名稱:組合式旅遊票券之訂價探討—以台北市為例
論文名稱(外文):Bundle Pricing for Tourist Pass—the Case of Taipei City
指導教授:郭佳瑋
指導教授(外文):Chia-Wei Kuo
口試委員:羅明琇楊朝龍
口試委員(外文):Ming-Shiow LoChao-Lung Yang
口試日期:2014-06-25
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:商學研究所
學門:商業及管理學門
學類:一般商業學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:86
中文關鍵詞:組合式訂價訂價願付價格旅遊票券台灣旅遊門票
外文關鍵詞:Bundle pricingPricingWillingness to payTourist passTaiwan Tourism
相關次數:
  • 被引用被引用:4
  • 點閱點閱:459
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
近年來全球的旅遊風氣盛行,越來越多人有自助旅行的經驗,而組合式旅遊票券在許多旅遊大城已行之有年,時常在自助旅行的遊客一定不陌生。此產品有多種設計及附加功能,主要概念為組合多景點的入場門票,並以優惠價格販賣。本研究即在探討組合式旅遊票券若在台灣市場發行,應有何種產品設計,並應如何訂價,才能為廠商帶來最大利潤。
  為了使研究標的具象化,把產品範圍縮小到台北市,並透過多方資料收集,從台北市21個收費景點歸結出五大景點類別,接著藉由前測及訪談,確認研究的外部效度以及問卷設計元素。本研究最主要的研究方法為線上問卷法,透過線上問卷的發放,收集需求面願付價格的資料,並透過對佣金比例及每日拜訪景點的假設模擬15個成本面的情境,作為最適訂價模型的建構基礎。
  本研究最終收集有效問卷207份,其中本國人樣本147份,外國人樣本60份,以此樣本建構兩個最適訂價模型:一為同時推不同產品之樣本機率分析模型,探討若遊客完全根據消費者剩餘做購買決策,根據本國人及外國人的有效樣本,在不同成本面情境中廠商應推出何種天期的產品才能獲得最大利潤;一為加入市場基數之敏感性分析模型,根據同樣的成本面情境,但只採納外國人的有效樣本並套用到市場基數,探討有多少比例的遊客有購買短天期產品的傾向時,廠商應改推短天期產品以獲得最大利潤。
  透過以上假設及模型建構,本研究得出以下重要結論:(1)廠商不需要對本國人及外國人進行差別訂價,(2)廠商只要推出該情境下允許最長天期的單一產品,即可獲得最高利潤,(3)至少要有超過56%的遊客傾向購買短天期產品,廠商才應改推出短天期的單一產品。
  本研究承襲前人對願付價格、訂價方法及組合式訂價的研究,並衍生出針對台灣市場在實行面的探討,對台灣觀光業者為一很好的實務參考依據。


 Traveling is the rising around the globe, and many more people start to plan their own trip. Tourist pass has been popular in many countries and among frequent travelers. This kind of products has various designs and added function, but the main concept is to bundle multiple tourist attractions and sell at a discount price. This essay aims to provide suggestions for the product design and pricing in Taiwan market, for the company to gain the maximized profit.
 In order to make the research product more concrete, the research scope is narrowed to Taipei city, and classified 21 attractions into 5 types. Then take advantage of the pretest and interview to check external validity and to add some elements to the questionnaire design. The main research method for this essay is online survey, through which the data of willingness to pay from the demand side is obtained. This essay simulates 15 scenarios based on different commission rates and assumptions on daily visiting spots. Together, the base of the optimal pricing model is built.
  There are 207 effective samples, 147 from Taiwanese and 60 from foreigners. Based on these samples, two optimal pricing models are built. One is launching different period products at the same time and base purely on the samples. Assuming tourists make their buying decision solely base on consumer surplus, what pricing strategy the company should make to gain maximized profit. The other model is a sensitivity test on the whole market base extended from the foreigner samples. Discussing how high the portion of tourists having the tendency to buy short-period products, should the company launch short-period products instead of long-period product.
  Based on the above assumptions and models, here are a few main findings in this essay: (1) No price discrimination between Taiwanese and foreigner needed, (2) launching the longest period product alone will gain the optimal profit for the company, (3) if there are at least more than 56% tourists have the tendency to buy short-period products, short-term product should be launched instead of long-term product.
  This essay adopted previous researches on willingness to pay, pricing method, and bundle pricing, and derives practical findings in Taiwan market. It could be used as a good reference for tourist industry in Taiwan.


謝辭 I
摘要 II
Abstract III
目錄 V
圖表目錄 VII
第一章、緒論 1
1.1 研究動機與背景 1
1.2 全球旅遊市場 5
1.3 台灣旅遊市場 7
1.4 研究架構 9
第二章、文獻探討及回顧 11
2.1 願付價格(Willingness to Pay) 11
2.2 訂價方法 (Pricing Approaches) 14
2.3 組合式訂價的誘因 (Incentives of Bundle Pricing) 16
2.4 本研究之應用與延伸 19
第三章、研究方法及設計 21
3.1 研究目的及範圍 21
3.2 景點選擇與分類 22
3.3 目標族群及前測訪談設計 24
3.4 資料收集—線上問卷法 26
3.5 問卷設計 27
第四章、資料分析與結果 32
4.1 需求面定義 32
4.2 成本面假設 33
4.3 最適訂價—同時推不同產品之樣本機率分析 37
4.4 最適訂價—加入市場基數之敏感性分析 41
4.5 影響各天期Taipei City Pass產品的願付價格之因素分析 45
4.6 人口統計變相對旅遊習慣的因素分析 48
4.7 景點偏好 51
第五章、結論與研究限制 56
5.1 研究結論 56
5.2 研究限制 57
5.3 未來研究方向 59
參考文獻 61
附錄 67
附錄一:完美三日遊 台北小確幸躍國際 67
附錄二:前測問題及原始資料 68
附錄三:7大現有產品的折扣值 69
附錄四:中文問卷 70
附錄五:英文問卷 75
附錄六:民國101年雄獅旅遊股東會年報 80
附錄七:民國101年鳳凰國際旅行社合併年報 81
附錄八:旅客拜訪台北市免費景點及付費景點比例 82
附錄九:人口統計變相—各天期產品願付價格相關性分析總表 84
附錄十:旅遊習慣—各天期產品願付價格相關性分析總表 85
附錄十一:人口統計變相—旅遊習慣相關性分析總表 86


中華民國交通部觀光局 (2013),「中華民國101年來臺旅客消費及動向調查」,交通部觀光局行政資訊系統—觀光統計—觀光年報,<http://admin.taiwan.net.tw/statistics/year.aspx?no=134>
中華民國交通部觀光局 (2013),「觀光統計圖表」,交通部觀光局行政資訊系統—
觀光統計—觀光統計圖表,<http://admin.taiwan.net.tw/public/public.aspx?no=315>
中華民國交通部觀光局 (2013),「台北市主要觀光遊憩據點遊客人數統計」,中華民國交通部觀光局歷年資料查詢系統—歷年遊憩區資料查詢,<http://recreation.tbroc.gov.tw/asp1/statistics/year/INIT.ASP>
中央通訊社 (2014),「完美三日遊 台北小確幸躍國際」,中央通訊社,3/8,
<http://www.cna.com.tw/news/firstnews/201403080016-1.aspx>
台北市議會 (2012),「後花博、貓纜之營運情形、財務檢討、後續規劃及淡水河北側沿岸快速道路案專案報告(臺北市議會第11 屆第4 次定期大會)」,台北市議會官方網站—市府報告,<http://www.tcc.gov.tw/iFrame.aspx?n=7B5BF7DC2EE91802>
台北旅遊網 (2014),「經典遊程」,
行政院主計處 (2010),「人口及住宅普查」報告,
<http://ebas1.ebas.gov.tw/phc2010/chinese/rchome.htm>
雄獅旅行社股份有限公司 (2013),「101年度雄獅旅遊股東會年報」,雄獅旅行社官方網站—投資人專區—財務報表,<http://www.liontravel.com/info/investors/financial-year-report.aspx>
鳳凰旅行社股份有限公司(2013),「民國一○一年度及民國一○○年度鳳凰國際旅
行社股份有限公司及子公司合併財務報表暨會計師查核報告」,鳳凰旅行社官方網站—公開投資訊息—財務資訊,<http://holder.travel.com.tw/>
臺北市政府觀光傳播局 (2013),「中華民國 101年來台旅客在台北市之消費及動向報告」,<http://www.tpedoit.taipei.gov.tw/ct.asp?xItem=62808015&;ctNode=13266&;mp=112001>
臺北市政府觀光傳播局 (2013),「趣˙台北」觀光手冊

Adams, W. J., &; Yellen, J. L. (1976), Commodity bundling and the burden of
monopoly, The quarterly journal of economics, 475-498.
Arnold, D. R., Hoffman, K. D., &; McCormick, J. (1989). Service pricing: a
differentiation premium approach. Journal of Services Marketing, 3(3), 25-33.
Beard, L. H., &; Hoyle, V. A. (1976). Cost accounting proposal for an advertising
agency. Management Accounting, 58(6), 38-40.
Ben-Akiva, M., Bradley, M., Morikawa, T., Benjamin, J., Novak, T., Oppewal, H., &;
Rao, V. (1994). Combining revealed and stated preferences data.Marketing Letters, 5(4), 335-349.
Bettman, J. R., Luce, M. F., &; Payne, J. W. (1998). Constructive consumer choice
processes. Journal of consumer research, 25(3), 187-217.
Carson, R. T., &; Groves, T. (2007). Incentive and informational properties of preference
questions. Environmental and Resource Economics, 37(1), 181-210.
Churchill, G.A. (2010), Basic Marketing Research, 7th edition
Dearden, J. (1977). Cost accounting comes to service industries. Harvard Business
Review, 56(5), 132-140.
Dolan, R. J. (1987). Managing the pricing of service-line and service-line
bundles. Competing in a Deregulated or Volatile Market, MSI Report, (87-1111).
Drumwright, M. E. (1992). A demonstration of anomalies in evaluations of
bundling. Marketing Letters, 3(4), 311-321.
Gabor, Andre and C. W. J. Granger (1966), "The Pricing of New Products," European
Marketing Research Review, 1, 1 (Summer), 9-25.
Green, P. E., &; Srinivasan, V. (1990). Conjoint analysis in marketing: new
developments with implications for research and practice. Journal of marketing,54(4).
Guiltinan, J. P. (1987). The price bundling of services: A normative framework.Journal
of marketing, 51(2).
Hanson, W., &; Martin, R. K. (1990). Optimal bundle pricing. Management
Science, 36(2), 155-174.
Harlam, B. A., Krishna, A., Lehmann, D. R., &; Mela, C. (1995). Impact of bundle type,
price framing and familiarity on purchase intention for the bundle.journal of Business Research, 33(1), 57-66.
Hoffman, E., Menkhaus, D. J., Chakravarti, D., Field, R. A., &; Whipple, G. D. (1993).
Using laboratory experimental auctions in marketing research: A case study of new packaging for fresh beef. Marketing science, 12(3), 318-338.
Jones, D. F. (1975). A survey technique to measure demand under various pricing
strategies. The Journal of Marketing, 75-77.
Kagel, John H. (1995), “Auctions: A Survey of Experimental Research,” in The
Handbook of Experimental Economics, John H. Kagel and Alvin E. Roth, eds. Princeton, NJ: Princeton University Press, 501–85.
Kahneman, D., &; Tversky, A. (1979). Prospect theory: An analysis of decision under
risk. Econometrica: Journal of the Econometric Society, 263-291.
Kaicker, A., &; Bearden, W. O. (1993). Product Bundling and Consumer Perceptions of
Value: A Test across Gain and Loss Situations. In Winter Educators’ Conference, American Marketing Association Proceedings.
Kalish, S., &; Nelson, P. (1988) "An Empirical Evaluation of Multi-attribute Utility and
Reservation Price Measurement," Purdue University Working Paper
Kalish, S., &; Nelson, P. (1991). A comparison of ranking, rating and reservation price
measurement in conjoint analysis. Marketing Letters, 2(4), 327-335.
Karlinsky, M., &; Farquhar, P. H. (1988). Context effects in price bundling. In
Unpublished working paper presented at the Association of Consumer Research Conference, Honolulu, Hawaii, October.
Kotler, P., Bloom, P. N., &; Hayes, T. J. (1984). Marketing professional services.
Marn, M. V., &; Rosiello, R. L. (1992). Managing price, gaining profit. Harvard
Business Review, 70(5), 84-94.
Mitchell, R. C., &; Carson, R. T. (1989). Using surveys to value public goods: the
contingent valuation method.
Nagle, Tom. (1987) The Strategy and Tactics of Pricing. Englewood Cliffs, NJ:
Prentice-Hall.
Noussair, C., Robin, S., &; Ruffieux, B. (2004). Revealing consumers''
willingness-to-pay: A comparison of the BDM mechanism and the Vickrey auction. Journal of economic psychology, 25(6), 725-741.
Orion Ray-Jones (2014), “Three Perfect Days: Taipei,” United Hemispheres, March,
<http://www.hemispheresmagazine.com/2014/03/01/three-perfect-days-taipei/>
Oxenfeldt, A. R. (1966). Product line pricing. Harvard Business Review, 44(4),
137-144.
Phillips, R. (2005). Pricing and revenue optimization.
Rao, Vithala R. and Harsh Soni (1994), “Bundle Pricing Using the Balance Model,”
working paper, Johnson Graduate School of Management, Cornell University.
Ratza, C. L. (1993). A client driven model for service pricing. Journal of Professional
Services Marketing, 8(2), 55-64.
Schmalensee, R. (1984). Gaussian demand and commodity bundling. Journal of
Business, S211-S230.
Silk, A. J., &; Urban, G. L. (1978). Pre-test-market evaluation of new packaged goods: A
model and measurement methodology. Journal of Marketing Research, 171-191.
Stigler, G. J. (1963). United States v. Loew''s Inc.: A note on block-booking. Sup. Ct.
Rev., 152.
Telser, L. G. (1979). A theory of monopoly of complementary goods. Journal of
Business, 211-230.
Tung, W., Capella, L. M., &; Tat, P. K. (1997). Service pricing: A multi-step synthetic
approach. Journal of Services Marketing, 11(1), 53-65.
Vickrey, W. (1961). Counterspeculation, auctions, and competitive sealed tenders. The
Journal of finance, 16(1), 8-37.
Voelckner, F. (2006). An empirical comparison of methods for measuring consumers’
willingness to pay. Marketing Letters, 17(2), 137-149.
Wertenbroch, K., &; Skiera, B. (2002). Measuring consumers’ willingness to pay at the
point of purchase. Journal of Marketing Research, 39(2), 228-241.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top