| 研究生: |
阮唯甄 Juan, Wei-Chen |
|---|---|
| 論文名稱: |
低成本航空競爭力之探討—以西南航空、瑞安航空及亞洲航空為例 A Competitiveness Evaluation of Low Cost Carriers - Case Study of Southwest Airlines, Ryanair and AirAsia |
| 指導教授: |
鄭永祥
Cheng, Yung-Hsiang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 152 |
| 中文關鍵詞: | 低成本航空 、競爭力 、強韌性 、模糊德爾菲法 、模糊層級分析法 |
| 外文關鍵詞: | Low Cost Carrier (LCC), Competitiveness, Robustness, Fuzzy Delphi Method (FDM), Fuzzy Analytic Hierarchy Process (FAHP) |
| 相關次數: | 點閱:208 下載:1 |
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自1978年美國實施開放天空政策以來,許多低成本航空加入航空產業,並於1990年代開始蓬勃發展。2018年國際民航組織(International Civil Aviation Organization, ICAO)指出,低成本航空於該年乘載了約13億名乘客,占全球定期旅客總數的31%。隨著全球航空客運量需求逐年成長,低成本航空不斷擴張,航空運輸市場形成百家爭鳴的競爭局面。然而,財務較不健全或規模較小的低成本航空易受到國際景氣波動與市場需求變化影響,使公司經營不善,無法永續經營。因此,低成本航空了解自身的優劣勢與市場中的地位有助於營運業者制定營運策略,進而提升公司的競爭力與強韌性。
本研究透過文獻回顧與模糊德爾菲法建構評估低成本航空競爭力之架構,並以模糊層級分析法獲取各競爭力評估指標的權重與排序,從中篩檢出關鍵的競爭力指標與強韌性指標。此外,本研究應用模糊理想解類似度偏好順序評估法進行評估西南航空(Southwest Airlines)、瑞恩航空(Ryanair)與亞洲航空(AirAsia)三家低成本航空競爭力的實證分析,以驗證本研究的評估模型。
研究結果顯示,整體專家認為各構面的相對重要度依序為「獲利能力」、「低票價與低成本營運模式」、「員工與機隊生產力」及「營運管理與形象」;而最關鍵的五項競爭力指標分別為「營業利益率」、「飛航安全」、「營收成長率」、「低成本與低票價」與「機隊生產力」,本研究將此五指標定義為低成本航空強韌性之指標。而本研究的實證分析結果顯示瑞安航空因其具有較良好的獲利能力、管控成本能力與生產力,使其競爭力與強韌性均優於西南航空與亞洲航空。
各低成本航空於需求持續增長的航空市場中,如何鞏固市場地位並較其他同業更具有競爭優勢與強韌性為一重要課題。藉由本研究之競爭力分析,能提供低成本航空營運業者與民航監理機關相關建議,藉以提升低成本航空競爭力,進而鞏固公司的強韌性以利永續經營。
Low cost carriers (LCCs) have grown rapidly since the beginning of this decade, the operators are now faced with fierce competition among themselves due to the quick increase in demand for air transportation. However, LCCs in small operating scales or unsound financial performances are vulnerable to global fluctuations, making them hard to operate sustainably.
The aim of this study is to identify and prioritize the key competitiveness indicators of LCCs. To achieve this, the study uses a two-phase method that initiated with Fuzzy Delphi Method and followed by Fuzzy Analytic Hierarchy Process to construct the competitiveness evaluation hierarchical model, obtain the weightings of competitiveness indicators. In the third phase, the study use FTOPSIS to conduct the empirical analysis.
The results show that "operating profit margin", " flight safety ", " revenue growth rate ", "low cost and low airfare " and "fleet productivity " are the five most critical competitiveness indicators. This study also defined these five indicators as the structure of the LCC’s robustness. In the empirical analysis, Ryanair is more competitive and robust than Southwest Airlines and AirAsia because of its outstanding profitability and productivity.
This research comprehensively evaluates the competitiveness of LCCs from the perspective of the company and proposes the "robustness" structure in the first time, and also provides the suggestions to LCCs operators and civil aviation agencies, so as to enhance the competitiveness of LCCs, and consolidate the robustness of LCCs for sustainable operation.
參考文獻–中文
1. 吳俊岳(2004)。低成本航空公司在國內實施營運策略之研究。國立成功大學交通管理科學系學位論文。
2. 汪坤發(2004)。採低成本航空公司在台灣營運之可行性分析。國立交通大學管理學院管理科學學程學位論文。
3. 張有恆(2018)。航空運輸學 四版。臺北市:華泰文化事業股份有限公司。
4. 許悦玲,王鼎鈞(2009)。低成本航空:經營與管理。臺灣:揚智文化。
5. 鄧振源,曾國雄(1989)。層級分析法(AHP)的內涵特性與應用(上)。中國統計學報,27(6),13707-13724。
6. 鄭滄濱(2001)。軟體組織提升人員能力之成熟度模糊評估模式。國立台灣科技大學資訊管理系學位論文。
7. 蕭儉顏(2015)。低成本航空價格、品牌延伸、網路口碑與忠誠度之研究。國立成功大學交通管理科學系學位論文。
參考文獻–英文
1. AirAsia. (2019). 2018 Annual Report.
2. Barney, J. B. (1992). Integrating organizational behavior and strategy formulation research: A resource based analysis.
3. Bodin, L., & Gass, S. I. (2003). On teaching the analytic hierarchy process. Computers & Operations Research, 30(10), 1487-1497.
4. Buckley, Pass, C. L., & Prescott, K. (1988). Measures of international competitiveness: a critical survey. Journal of Marketing Management, 4(2), 175-200.
5. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
6. Chang, Y. H., & Yeh, C. H. (2001). Evaluating airline competitiveness using multiattribute decision making. Omega-International Journal of Management Science, 29(5), 405-415.
7. Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1-9.
8. Chen, G., & Pham, T. T. (2000). Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems: CRC press.
9. Cheng, S., Chan, C. W., & Huang, G. H. (2002). Using multiple criteria decision analysis for supporting decisions of solid waste management. Journal of Environmental Science and Health, Part A, 37(6), 975-990.
10. Cho, W. (2012). The Impact of Airline and Customer Characteristics on Airline and Airport Choice(Doctoral dissertation, University of Maryland).
11. Chou, P.-F. (2015). An analysis of the relationship between service failure, service recovery and loyalty for Low Cost Carrier travelers. Journal of Air Transport Management, 47, 119-125.
12. Cui, Q. (2019). The online pricing strategy of low-cost carriers when carbon tax and competition are considered. Transportation Research Part A: Policy and Practice, 121, 420-432.
13. Delbari, S. A., Ng, S. I., Aziz, Y. A., & Ho, J. A. (2016). An investigation of key competitiveness indicators and drivers of full-service airlines using Delphi and AHP techniques. Journal of Air Transport Management, 52, 23-34.
14. Dincer, H., Hacioglu, U., & Yuksel, S. (2017). Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment. Journal of Air Transport Management, 63, 17-33.
15. Doganis, R. (2008). The Airline Business. Journal of Airport Management, 2(2), 202-203.
16. Dožić, S. (2019). Multi-criteria decision making methods: Application in the aviation industry. Journal of Air Transport Management, 79, 101683.
17. Eller, R. d. A. G., & Moreira, M. (2014). The main cost-related factors in airlines management. Journal of Transport Literature, 8(1), 8-23.
18. Ertuğrul, İ., & Karakaşoğlu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702-715.
19. Fageda, X., Jiménez, J. L., & Perdiguero, J. (2011). Price rivalry in airline markets: a study of a successful strategy of a network carrier against a low-cost carrier. Journal of Transport Geography, 19(4), 658-669.
20. Feurer, R., & Chaharbaghi, K. (1994). Defining Competitiveness: A Holistic Approach. Management Decision, 32(2), 49-58.
21. Fitzgerald, L., Johnston, R., Brignall, T., Silvestro, R., & Voss, C. (1991). Performance Measurement in Service Businesses (Vol. 69): Chartered Institute of Management Accountants London.
22. Francis, G., Dennis, N., Ison, S., & Humphreys, I. (2007). The transferability of the low-cost model to long-haul airline operations. Tourism management, 28(2), 391-398.
23. Francis, G., Humphreys, I., Ison, S., & Aicken, M. (2006). Where next for low cost airlines? A spatial and temporal comparative study. Journal of Transport Geography, 14(2), 83-94.
24. Hwang, C.-L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple Attribute Decision Making (pp. 58-191): Springer.
25. IATA. (2006). IATA Economics Briefing No 5: AIRLINE COST PERFORMANCE.
26. ICAO. (2017). List of Low-Cost-Carriers (LCCs) based on ICAO definiton.
27. ICAO. (2018). Manual on the Regulation of International Air Transport (Doc 9626).
28. Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 55(3), 241-253.
29. Jenatabadi, H. S., & Ismail, N. A. (2014). Application of structural equation modelling for estimating airline performance. Journal of Air Transport Management, 40, 25-33.
30. Jiang, H. W. (2013). Service quality of low-cost long-haul airlines - The case of Jetstar Airways and AirAsia X. Journal of Air Transport Management, 26, 20-24.
31. Klir, G. J., Folger, T. A., & Kruse, R. (1994). Fuzzy sets, Uncertainty and information. Jahresbericht der Deutschen Mathematiker Vereinigung, 96(1), 15-15.
32. Klir, G. J. (1988). Fuzzy sets. Uncentainty and Information.
33. Ko, Y. D. (2019). The airfare pricing and seat allocation problem in full-service carriers and subsidiary low-cost carriers. Journal of Air Transport Management, 75, 92-102.
34. Kurtulmusoglu, F. B., Can, G. F., & Tolon, M. (2016). A voice in the skies: Listening to airline passenger preferences. Journal of Air Transport Management, 57, 130-137.
35. Levine, M. E. (1986). Airline competition in deregulated markets: theory, firm strategy, and public policy. Yale J. on Reg., 4, 393.
36. Lin, & Huang. (2015). Using analytic network process to measure the determinants of low cost carriers purchase intentions: A comparison of potential and current customers. Journal of Air Transport Management, 49, 9-16.
37. Low, J. M. W., & Lee, B. K. (2014). Effects of internal resources on airline competitiveness. Journal of Air Transport Management, 36, 23-32.
38. Lu, J.-L. (2017). Segmentation of passengers using full-service and low-cost carriers – Evidence from Taiwan. Journal of Air Transport Management, 62, 204-216.
39. Mason, K. J. (2005). Observations of fundamental changes in the demand for aviation services. Journal of Air Transport Management, 11(1), 19-25.
40. Mason, K. J., & Morrison, W. G. (2008). Towards a means of consistently comparing airline business models with an application to the ‘low cost’ airline sector. Research in Transportation Economics, 24(1), 75-84.
41. Mikulić, J., & Prebežac, D. (2011). What drives passenger loyalty to traditional and low-cost airlines? A formative partial least squares approach. Journal of Air Transport Management, 17(4), 237-240.
42. Murtha, T. P., & Lenway, S. A. (1994). Country capabilities and the strategic state: How national political institutions affect multinational corporations' strategies. Strategic management journal, 15(S2), 113-129.
43. Negi, D. S. (1990). Fuzzy analysis and optimization (Doctoral dissertation, Kansas State University).
44. O'Connell, J. F., & Williams, G. (2005). Passengers' perceptions of low cost airlines and full service carriers: A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia airlines. Journal of Air Transport Management, 11(4), 259-272.
45. O’Connell, J. F., & Williams, G. (2005). Passengers’ perceptions of low cost airlines and full service carriers: A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia Airlines. Journal of Air Transport Management, 11(4), 259-272.
46. Parast, M., & Fini, E. H. (2010). The effect of productivity and quality on profitability in US airline industry: an empirical investigation. Managing Service Quality: An International Journal, 20(5), 458-474.
47. Park, Y., Choi, J. K., & Zhang, A. (2009). Evaluating competitiveness of air cargo express services. Transportation Research Part E: Logistics and Transportation Review, 45(2), 321-334.
48. Park, Y., Hong, P., & Roh, J. J. (2013). Supply chain lessons from the catastrophic natural disaster in Japan. Business Horizons, 56(1), 75-85.
49. Pearson, J., Pitfield, D., & Ryley, T. (2015). Intangible resources of competitive advantage: Analysis of 49 Asian airlines across three business models. Journal of Air Transport Management, 47, 179-189.
50. Pender, L., & Baum, T. (2000). Have the frills really left the European airline industry? International Journal of Tourism Research, 2(6), 423-436.
51. Perera, S., Harrison, G., & Poole, M. (1997). Customer-focused manufacturing strategy and the use of operations-based non-financial performance measures: A research note. Accounting, Organizations and Society, 22(6), 557-572.
52. Pitfield, D. (2008). Some insights into competition between low-cost airlines. Research in Transportation Economics, 24(1), 5-14.
53. Porter, M. E. (1985). Competitive advantage free press. New York, 33-61.
54. Rao, P., & Holt, D. (2005). Do green supply chains lead to competitiveness and economic performance? International journal of operations & production management, 25(9), 898-916.
55. Ryanair. (2019). 2018 Annual Report.
56. Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.
57. Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6): RWS publications.
58. Schefczyk, M. (1993). Operational performance of airlines: an extension of traditional measurement paradigms. Strategic management journal, 14(4), 301-317.
59. Smyth, M., & Pearce, B. (2007). Aviation economic benefits. IATA Economics Briefing, 8.
60. Southwest. (2019). 2018 Annual Report.
61. Srisook, P., & Panjakajornsak, V. (2017). Southeast Asian low-cost carrier airline competitiveness: A solution for economic growth. Business and Economic Horizons, 13(4), 536-555.
62. Sun, X. Q., & Wandelt, S. (2018). Complementary strengths of airlines under network disruptions. Safety Science, 103, 76-87.
63. Torlak, G., Sevkli, M., Sanal, M., & Zaim, S. (2011). Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry. Expert Systems with Applications, 38(4), 3396-3406.
64. Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11(1-3), 229-241.
65. Velocci, A. (1998). More rigorous methodology applied to gauge competitiveness. Aviation Week & Space Technology, 149(6), 67-67.
66. Wagner, M., & Schaltegger, S. (2004). The Effect of Corporate Environmental Strategy Choice and Environmental Performance on Competitiveness and Economic Performance:: An Empirical Study of EU Manufacturing. European Management Journal, 22(5), 557-572.
67. Wang, K., Fan, X., Fu, X., & Zhou, Y. (2014). Benchmarking the performance of Chinese airlines: An investigation of productivity, yield and cost competitiveness. Journal of Air Transport Management, 38, 3-14.
68. Wang, K., Tsui, K. W. H., Liang, L., & Fu, X. (2017). Entry patterns of low-cost carriers in Hong Kong and implications to the regional market. Journal of Air Transport Management, 64, 101-112.
69. Weber, K., & Sparks, B. (2004). Consumer attributions and behavioral responses to service failures in strategic airline alliance settings. Journal of Air Transport Management, 10(5), 361-367.
70. Wensveen, J. G., & Leick, R. (2009). The long-haul low-cost carrier: A unique business model. Journal of Air Transport Management, 15(3), 127-133.
71. Wong, W. H., Zhang, A. M., Cheung, T. K. Y., & Chu, J. (2019). Examination of low-cost carriers' development at secondary airports using a comprehensive world airport classification. Journal of Air Transport Management, 78, 96-105.
72. Wu, C., Wang, X., Zhang, X., Li, Y., & O'Brien, B. (2013). Chinese airline competitiveness evaluation based on extended binary relative evaluation (BRE) model. Journal of Business Economics and Management, 14(sup1), S227-S256.
73. Wu, C., Zhang, X.-y., Yeh, I.-C., Chen, F.-y., Bender, J., & Wang, T.-n. (2013). Evaluating competitiveness using fuzzy analytic hierarchy process—A case study of Chinese airlines. Journal of Advanced Transportation, 47(7), 619-634.
74. Yean, T. S. (2010). ASEAN open skies and the implications for airport development strategy in Malaysia. Trade Facilitation and Regional Cooperation in Asia, 23.
75. Yeh, C.-H., & Chang, Y.-H. (2009). Modeling subjective evaluation for fuzzy group multicriteria decision making. European Journal of Operational Research, 194(2), 464-473.
76. Yeung, S., Tsang, N., & Lee, Z. (2012). An Importance-Performance Analysis of Low Cost Carriers in Asia. International Journal of Hospitality and Tourism Administration, 13(3), 173-194.
77. Zadeh, L. A. (1965). Fuzzy sets, information and control. vol, 8, 338-353.
78. Zhang, A., Hanaoka, S., Inamura, H., & Ishikura, T. (2008). Low-cost carriers in Asia: Deregulation, regional liberalization and secondary airports. Research in Transportation Economics, 24(1), 36-50.
參考文獻–網頁
1. Centre for Asia Pacific Aviation(2019年2月19日)。LCCs: global market share gains led by emerging markets,取自:https://centreforaviation.com/analysis/reports/lccs-global-market-share-gains-led-by-emerging-markets-459927
2. IATA(2018年10月24日)。IATA Forecast Predicts 8.2 billion Air Travelers in 2037,取自:https://www.iata.org/en/pressroom/pr/2018-10-24-02
3. IATA(2019年7月31日)。More Connectivity and Improved Efficiency - 2018 Airline Industry Statistics Released,取自:https://www.iata.org/en/pressroom/pr/2019-07-31-01
4. ICAO(2018年12月31日)。Solid passenger traffic growth and moderate air cargo demand in 2018,取自:https://www.icao.int/Newsroom/Pages/Solid-passenger-traffic-growth-and-moderate-air-cargo-demand-in-2018.aspx
5. 交通部民用航空局(2020年4月17日)。客機只載貨,業者已申請1800架次,取自:https://www.caa.gov.tw/NewsPublish-Content.aspx?lang=1&nid=1940&a=381&ssd=2019/06/04&sed=2020/06/04&title=&ngid=1
6. 台灣虎航(2020年5月7日)。台灣虎航靈活應變,首班客艙載貨航班今執飛,取自:https://www.tigerairtw.com/zh-tw/about-tigerair/news/2020-05-07
校內:2025-07-01公開