博碩士論文 88441002 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:6 、訪客IP:18.232.186.117
姓名 江莞兒(Wan-Erh Chiang)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 重大災難對台北國際觀光旅館經營績效的影響
(The Impact of Disasters on the Hotel Performance in Taipei)
相關論文
★ 醫院特質、智慧資本對醫院經營績效影響之研究★ 創業家失敗復原歷程之研究
★ 社會爆紅現象之動態模擬分析-以K-POP為例之探索性研究★ 風險降低策略於網路購物之研究
★ 消費者選擇與放棄決策對購後行為之影響★ 創造力攸關之內外在環境特質與創造力投資策略之關係-學童與廠商跨領域之比較研究
★ 創造力競爭環境,個人內在動機與創造力工作環境關係之探討--學童與廠商跨領域之比較★ 零售商店擁擠知覺與購物滿意關係之探討
★ 消費者購買決策過程中,遺憾的前因、干擾與後果之模型探討★ 電子商務產業新創事業創業策略之研究–組織意會觀點之應用
★ 不同形式之產品線延伸以及所有權狀態對品牌評價的影響★ 台灣地區學童消費型態研究--以城鄉差異與家庭溝通模式觀點探討
★ 生物技術產業新創事業創業策略之研究-組織意會活動與實質選擇權觀點之應用★ 商店選擇對商品價值認知與惠顧傾向影響之探討
★ 「形塑環境」及「社會網絡」之意會活動對「實質選擇權徵兆」的影響—以大學校園創業團隊為例★ 「建構身份」、「形塑環境」及「似合理性」對實質選擇權徵兆之影響 —以大學校園創業團隊為例
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) 自一九九九年至二00三年五年期間,台灣歷經三個重大災難--九二一地震,九一一恐怖攻擊,及SARS疫情的蔓延。其對觀光產業影響甚鉅。在政府推出『挑戰二00八:國家發展重點計畫』致力推動「觀光客倍增計畫」的背景之下,為釐清災難對國際觀光旅館經營績效(hotel performance)所造成之衝擊,本研究探討之焦點著重在災難對觀光旅館住房表現之變化。透過大台北地區國際觀光旅館五年間的月營運資料,分析災難影響飯店營運的程度(magnitude)與期間(duration),以及住房率與房價的關係。X12-ARIMA用來調整時間、季節對於觀光需求的影響。資料包絡分析用來區隔旅館之經營有效率或無效率。分析結果顯示,在九二一地震期間,台北地區國際觀光旅館業績平均下跌2.25個月,RevPAR平均累積下滑16.1%。相較於獨立經營的旅館,連鎖旅館有較佳的表現,,但不顯著。而以日本為主要客源的飯店,損失明顯比其他飯店嚴重。以往經營有效率的飯店,損失有比較輕微,但統計上不顯著。在九一一恐怖攻擊事件中,台北地區國際觀光旅館業績平均下跌2.18個月,RevPAR平均下滑 13.35 %。相較於獨立經營的旅館,連鎖旅館的損失較少,並不顯著。以日本為主要客源的飯店,業績損失雖然較大,但也不顯著。以往經營有效率的飯店,損失比較少,也不顯著。而在 SARS疫情爆發期間,台北地區國際觀光旅館住房業績巨幅下跌,影響有8.8個月之久,RevPAR平均累積下滑 288.8%。相較於獨立經營的旅館,連鎖旅館有較低的損失,但在統計上並不顯著。以日本為主要客源的飯店,業績損失非常高,顯著高於其他飯店。以往經營有效率的飯店,損失較少,但統計上不顯著。
摘要(英) During the year of 1999 to 2003, the tourism demand of Taiwan had encountered three devastating disasters: the September 21 earthquake in 1999, the 911 terrorist attacks in the USA in 2001, and the SARS outbreak in the second quarter of 2003. The X-12-ARIMA was applied to adjust the seasonal factors and further to examine the impact of disasters on the hotel performance in Taipei. The results show that the international tourist hotels suffered the greatest loss during the SARS outbreak, with an average loss of 288.8% in RevPAR for 8.8 months, followed by the 921 earthquake (16.1% in 2.25 months), and the 911 terrorist attacks (13.35% in 2.18 months).
During the 921 earthquake, the chain hotels have a lower mean RevPAR decline than the independent hotels. The hotels targeting at Japanese market suffer a significantly higher average RevPAR loss than the others. The efficient hotels have a lower average RevPAR loss.
During the 911 terrorist attacks, the chain hotels have a lower mean RevPAR decline than the independent ones. The hotels targeting at Japanese market have a higher RevPAR loss than the other ones. The efficient hotels experience less decline than the inefficient hotels.
Among the three disasters, the SARS outbreak had the biggest influence toward hotel performance. The chain hotels have a relative lower RevPAR than the independent ones. The hotels targeting at Japanese market have a higher RevPAR loss than the others. Relatively, the efficient hotels have less loss than the inefficient hotels.
關鍵字(中) ★ 國際觀光旅館
★ 季節調整
★ 經營績效
★ 資料包絡分析
關鍵字(英) ★ 911 Terrorists Attacks
★ SARS Outbreak
★ 921 Earthquake
★ Hotel
論文目次 ABSTRACT iv
ACKNOWLEDGEMENT v
TABLE OF CONTENTS vi
LIST OF TABLES viii
LIST OF FIGURES ix
CHAPTER 1 INTRODUCTION 1
1.1 Motivation 1
1.2 The Framework of This Research 7
1.3 The Structure of this Dissertation 9
CHAPTER 2 BACKGROUND 11
2.1 The Three Devastating Disasters 11
2.1.1 The September 21st Earthquake in 1999 11
2.1.2 The September 11th, 2001 terrorist attacks in the US 12
2.1.3 The Severe Acute Respiratory Syndrome (SARS) in 2003 13
2.2 The Hotel Classifications/Attributes 15
CHAPTER 3 METHODOLOGY 19
3.1 Samples & Data 20
3.2 X-12-ARIMA 27
3.3 Data Envelopment Analysis 37
3.3.1 Selection of DMUs 40
3.3.2 Input-Output Variables 41
3.3.3 Models 43
3.4 T-Test 47
CHAPTER 4 THE EFFICIENT HOTELS 48
4.1 Efficiency Score Analysis 48
4.2 Slack Analysis and Projected Value 50
4.3 Discussion 57
4.4 The DEA Results for the Year 1998 and 2002 59
CHAPTER 5 THE IMPACT OF DISASTERS 63
5.1 The Impact of Disasters 63
CHAPTER 6 CONCLUSIONS & SUGGESTIONS 69
6.1 Conclusions 69
6.2 Suggestions 72
REFERENCES 74
APPENDIX: DECOMPOSTITION OF THE REVPAR SERIES FOR EVERY SAMPLE HOTEL 81
LIST OF TABLES
TALBE 1-1 Hotel Companies That Franchise the Most Hotels 6
TALBE 1-2 Hotel Companies That Manage the Most Hotels 6
TALBE 2-1 Annual Arrivals and Growth Rate 15
TABLE 3-1 New International Tourist Hotels 22
TALBE 3-2 Hotel Names, Operational Styles and Operators 23
TALBE 3-3 Hotels and Their Managerial Styles & Market Segments 26
TABLE 3-4 Hotels & RegARIMA Model 29
TALBE 3-5 The Irregular Component in RevPAR Series of Royal Hotel 34
TALBE 4-1 Estimated Overall, Pure Technical, and Scale Efficiency Scores 49
TABLE 4-2 Amounts of Improvement /Slack of Inefficient DMUs 53
TABLE 4-3 Original Value and Projected Value (in Parenthesis) for Inefficient
DMUs 54
TALBE 4-4 Top 10 Hotels in F&B Performance 55
TALBE 4-5 Ratio of Room and F&B Revenues for Each DMU 56
TALBE 4-6 The Efficiency Score of the Year 1998 60
TALBE 4-7 The Efficiency Score of the Year 2002 62
TALBE 5-1 Summary Impacts of the three Disasters on Taipei Hotels 64
TABLE 5-2 Test of Normality Between Groups 65
TABLE 5-3 Levene’s Test for Equality of Variances 66
TABLE 6-1 RevPAR Decline Between Groups of Three Disasters (%) 71
LIST OF FIGURES
FIGURE 1-1 Number of Jobs generated by Tourism Industry 2
FIGURE 1-2 Hotel Companies in the Most Countries 5
FIGURE 1-3 The Framework of the Study 10
FIGURE 2-1 The Inbound Tourists Among 1998/01 to 2004/05 14
FIGURE 2-2 The Classification of Taiwan Hotels 18
FIGURE 3-1 Flow Diagram for Seasonal Adjustment with X-12-ARIMA 28
FIGURE 3-2 The Irregular Component in RevPAR Series of the Royal Hotel 35
FIGURE 5-1 The Performance Decline of the Three Disasters 63
參考文獻 REFERENCES
Banker, R.D., A. Charnes, and W. W. Cooper (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30(9):1078-1092.
Basso, A., and S. Funari (2001). A Data Envelopment Analysis Approach to Measure the Mutual Fund Performance. European Journal of Operational Research 135: 477-492.
Bowlin, W. F. (1987). Evaluating the Efficiency of US Air Force Real-Property Maintenance Activities. Journal of Operational Research Society 38(2):127-135.
Chandra, P., W.W. Cooper, S. Li, and A. Rahman (1998). Using DEA to Evaluate 29 Canadian Textile Companies--Considering Returns to Scale. International Journal of Production Economics 54:129-141.
Charnes, A., W. W. Cooper, and E. Rhodes (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research 2:429-444.
Chen, T. (1997). A Measurement of the Resource Utilization Efficiency of University Libraries. International Journal of Production Economics 53:71-80
Chen, T. (2001). An Assessment of Technical Efficiency and Cross-efficiency in Taiwan’s Electricity Distribution Sector. European Journal of Operational Research 1-13.
Chien, G. and Law, R. (2003). The Impact of the Severe Acute Respiratory Syndrome on Hotels: a case study of Hong Kong. Tourism Management 22:327-332.
Chilingerian, J. A., and H. D. Sherman (1990). Managing Physician Efficiency and Effectiveness Providing Hospital Services. Health Service Management Research 3(1): 3-15.
Chon, K. and R. T. Sparrowe (2000) Welcome to Hospitality…An Introduction. Albany, NY: Delmar.
CNN Television News Report (2001). CNN Television News Report, October 5.
Coelli, T., D. S. Prasada Rao, and G. E. Battese (1998). An Introduction To Efficiency and Productivity Analysis. Boston: Kluwer Academic Publisher.
Cummins, J. D., S. Tennyson, and M.A. Weiss (1999). Consolidation and Efficiency in the US Life Insurance Industry. Journal of Banking & Finance 23:325-357
Dagum, E. B. (1988). The X-11-ARIMA/88 Seasonal Adjustment Method: Foundations and User’s Manual, Ottawa:Statistc Canada.
Easun, S. (1994). Beginner’s Guide to Efficiency Measurement: an Application of Data Envelopment Analysis to selected school libraries in California. School Library Media Quart 22(2):103-106.
Enz, C.A., & Canina, L. (2002). Best of Times, the Worst of Times: Differences in Hotel Performance Following 9/11. Cornell Hotel and Restaurant Administration Quarterly, 43 (5), 22-32.
Findley, D.F., Monsell, B.C., W.R., Otto, M.C., and Chen, B.C. (1998). New capabilities and Methods of the X-12-ARIMA Seasonal Adjustment
Program. Journal of Business and Economic Statistics 16:127-176.
Golany, B. and Y. Roll (1989) An Application Procedure for DEA. OMEGA 17 (3): 237-250.
Goodrich, J.N. (2001). September 11, 2001 attack on America: a record of the immediate impacts and reactions in the USA travel and tourism industry. Tourism Management 23:573-580
Hanks, R.D. (1998). Strategic Pricing and Revenue Management for Hotels. Professional Development Program. Hotel School of Cornell University, Summer Seminar.
Huan, T.C., Beaman, J., and Shelby, L. (2004). No-Escape Natural Disaster—Mitigating Impacts on Tourism. Annals of Tourism Research 31(2): 255-273.
Huang, J.H. and Min, J.C.H. (2002). Earthquake Devastation and Recovery in Tourism: the Taiwan Case. Tourism Management 23:145-154.
Hwang, S.N. and Chang, T.Y. (2003). Using Data Envelopment Analysis to Measure Hotel Managerial Efficiency Change in Taiwan. Tourism Management 24:357-369.
Ismail, A. (2002). Front Office – Operations and Management. Thomas Delmar: Albany, NY.
Ismail, J.A., Dalbor, M.C., & Mills, J.E. (2002). Using RevPAR To Analyze Lodging- Segment Variability. Cornell Hotel and Restaurant Administration Quarterly 43(5): 73-80.
Jurow, S. (1993) Tools for Measuring and Improving Performance. Journal of Library Administration 18:113-126
Kao, C. and Y. C. Yang (1992) Reorganization of Forest Districts via Efficiency Measurement. European Journal of Operational Research 58(3): 356-362
Kao, C. (1994) Evaluation of Junior Colleges of Technology: The Taiwan Case. European Journal of Operational Research 73: 487-494.
Koening, N. and Bischoff, E. E. (2004). Analyzing Seasonality in Welsh Room Occupancy Data. Annals of Tourism Research 31(2): 374-392
Kerstens, K. (1996) Technical Efficiency Measurement and Explanation of French Urban Transit Companies. Transportation Research Part A: Policy and Practice 30(6):431-452
Lewin, A. Y., and J.W. Minton (1986) Determining Organizational Effectiveness: Another Look, and an Agenda for Research. Management Science 32(5): 514-536.
Lim, C. and McAleer, M. (2002). Time Series Forecasts of International Travel Demand for Australia. Tourism Management 23:389-396
Lothgren, M., and M. Tambour (1999). Productivity and Customer Satisfaction in Swedish Pharmacies: A DEA Network Model. European Journal of Operational Research 15: 449-458.
National Fire Administration (1999). Statistics of September 21st Earthquake. Republic of China: Ministry of Interior.
Schaffnit, C., D. Rosen, and J.C. Paradi (1997). Best Practice Analysis of Bank Branches: An Application of DEA in a Large Canadian Bank. European Journal of Operational Research 98(2):269-289
Schefczyk, M. (1993).Traditional Performance of Airlines: An Extension of Traditional Measurement Paradigms. Strategic Management Journal 14(4): 301-317.
Sherman, H. D., and F. Gold (1985). Bank Branch Operating Efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance 9(2): 297-315
Shiskin, J., Young, A. H., and Musgrave, J.C. (1967). The X-11 Variant of the Census Method II Seasonal Adjustment Program. Technical Paper No. 15, U.S. Department of Commerce, Bureau of Census.
Sonmez, S.F., Apostolopoulos, Y., and Tarlow, P. (1999). Tourism in Crisis: Managing the Effects of Terrorism. Journal of Travel Research 38:13-18.
Taiwan Economic News (2003) Leading Hotels Provide Instant Offices for SARS-wary Execs, May 16.
Taiwan News (2003). Tourism Bureau Launches Campaigns, June 12.
Tan, S. (2001). Hotels Hope Tourist Drought End Soon. Nationwide Losses Could Reach $2B. Miami Herald, September 28.
Thanassoulis, E. and Dunstan P. (1994). Guiding Schools to Improved Performance Using Data Envelopment Analysis: An Illustration with Data from a Local Education Authority. Journal of the Operational Research Society 45(11): 1247-1262.
Tourism Bureau (2000~2004). Annual Report on Tourism, Republic of China. Taipei: Tourism Bureau.
Tourism Bureau (1999~2004). Hotel Operation Report. Available at
Tsaur, S. H. (2000). The Operating Efficiency of International Tourist Hotels in Taiwan. Asia Pacific Journal of Tourism Research 6(1):29-37.
Vallen, G.., and J. Vallen (2000). Check in Check out. Englewood, NJ: Prentice Hall.
Walker, J. R. (2002). Introduction to Hospitality, 3/e. Englewood, NJ: Prentice Hall.
Weissinger, S. S. (2000). Hotel/Motel Operations—An overview. Delmar: Canada
WHO (2004). Summary of Probable SARS Cases with Onset of Illness from 1 November 2002 to 31 July 2003
Wolchuk, S. and Scoviak, M. (2004). Hotels’ 325. Hotels Magazine, July. 38-40. also available at
World Travel & Tourism Council (2004). The 2004 Travel & Tourism Economic Research.
指導教授 蔡明宏、李小梅
(Ming-Hone Tsai、Li Shau-Mei Wang)
審核日期 2005-4-6
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