隨著航空運輸在國際間的頻繁往來，全球載客量和旅遊帶來的經濟效益也日漸增長，而航空公司為提升競爭力，亦積極引進如區塊鏈(Blockchain)等新技術。本研究期望航空公司能在導入區塊鏈的同時，結合哩程交易來解決航空忠誠計劃(Airline Loyalty Rewards Program)在哩程耗損與交易需求方面之潛在問題，並善用區塊鏈之特性提升營運效能，進而達到忠誠計劃維繫忠實顧客之目的。因此，本研究根據可得資料與個案情境進行研究設計，以模擬哩程交易系統之績效，分析哩程交易對於哩程耗損之影響，發現相較未進行哩程交易之統計結果，有進行哩程交易之哩程耗損率有顯著降低，且每年平均旅行次數越高者影響之結果會越顯著。透過改善哩程耗損問題，可達到航空忠誠計劃之目的，減少原有忠實顧客的流失，並增加旅客成為忠實顧客的機會。最後，本研探討如何在航空忠誠計劃中整合區塊鏈技術與哩程交易，並提出其可行性與哩程交易結合聯盟鏈的建議架構，望能通過該架構強化航空公司忠誠計劃之服務目的與效能，藉此提升其競爭優勢。

With the increasingly frequent international exchanges of air transport, the economic benefits brought by global passenger numbers and tourism have also increased rapidly. To enhance competitiveness, airlines actively introduce new technologies such as Blockchain. This research expects that airlines can integrate mileage transactions while introducing blockchain to solve the potential problems of mileage breakage and transaction demand in the Airline Loyalty Rewards Program. In addition, making good use of the characteristics related to the blockchain improves operational efficiency, thereby achieving the purpose of maintaining loyal customers in the loyalty program. Therefore, this research is designed based on the available data and case contexts to simulate the performance of the mileage trading system and analyze the impact of mileage trading on mileage breakage. It is found that compared with the statistical results of no mileage transaction, the mileage breakage rate of the mileage transaction has been significantly reduced. The higher the average number of trips per year, the more significant impact we will see. By improving the mileage breakage problem, the purpose of the airline loyalty program can be achieved, reducing the breakage of original loyal customers, and increasing the possibility of turning passengers into loyal customers. Finally, this research discusses how to integrate blockchain technology and mileage transactions in the Airline Loyalty Rewards Program and proposes the feasibility of combining mileage transactions with the proposed architecture of Consortium Blockchains. It is hoped that through this framework, the service purpose and effectiveness of the loyalty program can be strengthened, thereby enhancing its competitive advantage.

目　錄
==============================
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 5
第三節 研究目的 6
第二章 文獻探討 7
第一節 航空忠誠計劃 7
一、 航空忠誠計劃之背景 7
二、 航空忠誠計劃之架構 9
三、 航空忠誠計劃之問題及風險 11
第二節 區塊鏈 13
一、 區塊鏈概述 14
二、 區塊鏈之分類與運作流程 17
三、 智慧合約 20
四、 航空運輸業的應用 22
第三章 研究方法 25
第一節 研究架構 25
第二節 個案背景 26
第三節 資料蒐集 26
第四節 情境分析 28
第四章 模擬分析與建議 29
第一節 模擬情境 29
第二節 模型建構 30
一、 模擬系統之設計層 31
二、 模擬系統之操作層 34
三、 模擬系統之運行層 34
第三節 結果分析 36
一、 103至108年所有旅客有無交易之模擬結果比較 36
二、 103至108年平均每年不同旅行次數的旅客有無交易之統計 37
第四節 建議 38
第五章 結論與未來研究 43
第一節 研究結果與貢獻 43
一、 導入哩程交易於航空忠誠計劃 43
二、 提出結合聯盟鏈與航空忠誠計劃之架構 43
第二節 研究限制與未來方向 44
參考文獻 45
 
圖目錄
==============================
圖1-1-1  2004年至2019年全球航空業登機的預定人數 2
圖2-1-1  航空忠誠計劃之哩程流向 10
圖2-2-1  基於PoW的非許可制區塊鏈運作流程 19
圖2-2-2  基於PoA的許可制區塊鏈運作流程 20
圖3-1-1  研究架構圖 25
圖4-2-1  模擬系統之模型架構圖 30
圖4-2-2  買賣需求分類機率之分布關係圖 33
圖4-2-3  收購方需求哩程占比與交易意願機率之分布關係 33
圖4-2-4  出售方哩程剩餘效期占比與交易意願機率之分布關係 34
圖4-4-1  航空忠誠計劃區塊鏈建議架構圖 40

表目錄
==============================
表4-1-1 103至108年內所有旅客有無交易之模擬結果總計 36
表4-1-2 103至108年平均每年不同旅行次數的旅客沒有交易之模擬結果統計 37 
表4-1-3 103至108年平均每年不同旅行次數的旅客有交易之模擬結果統計 37

一、 中文部分
(一) 學位論文
林君豪(2019)。應用區塊鏈技術於航空訂位系統（未發表）。國立臺北科技大學資訊與財金管理系碩士論文。
林泰誠(2017)。C航空公司會員禮遇晉升作業流程之改善（未發表）。國立中央大學資訊管理學系在職專班碩士論文。
張䕒云(2019)。策略聯盟與區塊鏈對航空公司經營績效之影響（未發表）。國立雲林科技大學會計系碩士論文。
(二) 期刊
何學庸、廖慧婷(2006)。航空公司哩程酬賓計畫系統之解構。中華技術學院學報，34，139-160。 http://doi.org/10.7095/JCIT.200606.0139
(三) 網路資源
宋雙傑等(2018年12月26日)。主流區塊鏈共識機制的簡介與比較—區塊鏈技術引卷之三。通證通研究院。http://pdf.dfcfw.com/pdf/H3_AP201812271279983589_1.pdf
高敬原(2019年1月30日)。航空界引進區塊鏈，完整布局哩程生態系。  數位時代。 https://www.bnext.com.tw/article/52126/departure-flight-flying-miles-cover-story
Zombit (2019年11月11日)。公有鏈－非許可制的公共區塊鏈。Zombit。 https://know.zombit.info/%E5%85%AC%E6%9C%89%E9%8F%88/
 
二、 英文部分
(一) 學位論文
Nadeem, S. N. (2018). Can blockchain disrupt the traditional airline distribution for the better? If so, what are the benefits of this new technology, and how can it be implemented [Unpublished doctoral dissertation]. University of Westminster.
(二) 圖書
Beiske, B. (2002). Loyalty management in the airline industry. Diplom. de.
De Boer, E. R. (2018). Taking the Frequent Flyer Program to Measure. In Strategy in Airline Loyalty, 173-191. Palgrave Macmillan.
Mukhopadhyay, M. (2018). Ethereum Smart Contract Development: Build blockchain-based decentralized applications using solidity. Packt Publishing Ltd.
(三) 期刊
Antoniadis, I., Spinthiropoulos, K., & Kontsas, S. (2020). Blockchain Applications in Tourism and Tourism Marketing: A Short Review. Strategic Innovative Marketing and Tourism ,375-384. Springer, Cham. https://doi.org/10.1007/978-3-030-36126-6_41
Avasthi, A. A., & Saxena, A. (2018). Two Hop Blockchain Model: Resonating between Proof of Work (PoW) and Proof of Authority (PoA). International Journal of Information Systems & Management Science, 1(1).
Bach, L. M., Mihaljevic, B., & Zagar, M. (2018, May). Comparative analysis of blockchain consensus algorithms. 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 1545-1550. https://doi.org/10.23919/MIPRO.2018.8400278
Bayer, D., Haber, S., & Stornetta, W. S. (1993). Improving the efficiency and reliability of digital time-stamping. Sequences II, 329-334. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9323-8_24 
Bocek, T., & Stiller, B. (2018). Smart Contracts – Blockchains in the Wings. Digital Marketplaces Unleashed, 169-184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49275-8_19
Cachin, C., & Vukolic, M. (2017). Blockchains Consensus Protocols in the Wild. 31st International Symposium on Distributed Computing (DISC 2017), 1-16. https://doi.org/10.4230/LIPIcs.DISC.2017.1
Calvaresi, D., Leis, M., Dubovitskaya, A., Schegg, R., & Schumacher, M. (2019). Trust in tourism via blockchain technology: results from a systematic review. In Information and communication technologies in tourism 2019 (304-317). https://doi.org/10.1007/978-3-030-05940-8_24
De Boer, E. R., & Gudmundsson, S. V. (2012). 30 years of frequent flyer programs. Journal of Air Transport Management, 24, 18-24. https://doi.org/10.1016/j.jairtraman.2012.05.003
Frantz, C. K., & Nowostawski, M. (2016, September). From institutions to code: Towards automated generation of smart contracts. 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS* W) , 210-215. https://doi.org/10.1109/FAS-W.2016.53
Gervais, A., Karame, G. O., Wüst, K., Glykantzis, V., Ritzdorf, H., & Capkun, S. (2016, October). On the security and performance of proof of work blockchains. Proceedings of the 2016 ACM SIGSAC conference on computer and communications security, 3-16. https://doi.org/10.1145/2976749.2978341
Gheorghe, P. N. M., Ţigănoaia, B., & Niculescu, A. (2017, October). Blockchain and smart contracts in the music industry–streaming vs. downloading. International Conference on Management and Industrial Engineering, 8, 215-228. Niculescu Publishing House.
Glazkova, I., Kozioł-Kaczorek, D., & Shmatko, S. (2018). Smart Contracts as a New Technology in the Digital Economy. Problems of World Agriculture/Problemy Rolnictwa Światowego, 18(33), 146-151. https://doi.org/10.22630/PRS.2018.18.4.105
Haapio, H., deRooy, R., & Barton, T. D. (2018). New contract genres. Proceedings of the 21th International Legal Informatics Symposium IRIS 2018, 455-460. https://doi.org/10.38023/64bec54a-5710-4aa7-b619-5faef5ae4838
Haber, S., & Stornetta, W. S. (1990, August). How to time-stamp a digital document. Conference on the Theory and Application of Cryptography ,437-455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-38424-3_32
Kim, S. K. (2019, August). Video streaming system based on Internet of media things and blockchain. 2019 International Symposium on Multimedia and Communication Technology (ISMAC), 1-4. https://doi.org/10.1109/ISMAC.2019.8836173
Knorr, A. (2019). Big Data, Customer Relationship and Revenue Management in the Airline Industry: What Future Role for Frequent Flyer Programs?. Review of Integrative Business and Economics Research, 8(2), 38-51.
Ko, T., Lee, J., & Ryu, D. (2018). Blockchain technology and manufacturing industry: 
Real-time transparency and cost savings. Sustainability, 10(11). https://doi.org/10.3390/su10114274
Madhwal, Y., & Panfilov, P. B. (2017a). Blockchain And Supply Chain Management: Aircrafts’ Parts’ Business Case. Proceedings of the 28th DAAAM International Symposium, 1051-1056. https://doi.org/10.2507/28th.daaam.proceedings.146
Mohanta, B. K., Panda, S. S., & Jena, D. (2018, July). An overview of smart contract and use cases in blockchain technology. 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 1-4. https://doi.org/10.1109/ICCCNT.2018.8494045
Peck, M. E., & Moore, S. K. (2017). The blossoming of the blockchain. IEEE Spectrum, 54(10), 24-25. https://doi.org/10.1109/MSPEC.2017.8048835
Revin, V., & Shevcheko, Y. (2019). The opportunities and challenges of implementation of blockchain in aviation industry. Молодий вчений, 4 (2), 206-209. https://doi.org/10.32839/2304-5809/2019-4-68-49
Sherman, A. T., Javani, F., Zhang, H., & Golaszewski, E. (2019). On the origins and variations of blockchain technologies. IEEE Security & Privacy, 17(1), 72-77. https://doi.org/10.1109/MSEC.2019.2893730
Szabo, N. (1996). Smart contracts: building blocks for digital markets. The Journal of Transhumanist Thought,(16), 18(2).
Vranken, H. (2017). Sustainability of bitcoin and blockchains. Current opinion in environmental sustainability, 28, 1-9. https://doi.org/10.1016/j.cosust.2017.04.011
Wang, C., & Li, B. (2019, October). Research on Traceability Model of Aircraft Equipment Based on Blockchain Technology. 2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 88-94. https://doi.org/10.1109/ICCASIT48058.2019.8973137
Yang, F., Zhou, W., Wu, Q., Long, R., Xiong, N. N., & Zhou, M. (2019). Delegated proof of stake with downgrade: A secure and efficient blockchain consensus algorithm with downgrade mechanism. IEEE Access, 7, 118541-118555. https://doi.org/10.1109/ACCESS.2019.2935149
Zeren, S. K., & Demirel, E. (2020). Blockchain Based Smart Contract Applications in Tourism Industry. Digital Business Strategies in Blockchain Ecosystems, 601-615. Springer, Cham. https://doi.org/10.1007/978-3-030-29739-8_28
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017, June). An overview of blockchain technology: Architecture, consensus, and future trends. 2017 IEEE international congress on big data (BigData congress), Honolulu, HI, 2017,pp. 557-564. https://doi.org/10.1109/BigDataCongress.2017.85
(四) 網路資源
Awwad, M., Kalluru, S. R., Airpulli, V. K., Zambre, M. S., Marathe, A., & Jain, P. (2018). Blockchain Technology for Efficient Management of Supply Chain. Proceedings of the International Conference on Industrial Engineering and Operations Management, 440-449. https://www.researchgate.net/publication/327979457_Blockchain_Technology_for_Efficient_Management_of_Supply_Chain
Bank, E. C. (2012). Virtual currency schemes – a further analysis. Frankfurt: European Central Bank. https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemesen.pdf
Binance Academy. (2020, October 19). Private, Public, and Consortium Blockchains - What's the Difference?. Binance Academy. https://academy.binance.com/en/articles/private-public-and-consortium-blockchains-whats-the-difference
Carrington, C. (2018, July 11). Frequent flyer points reward airlines more than customers, analysts say. ABC News. https://www.abc.net.au/news/2018-07-11/frequent-flyer-program-helping-airlines-more-than-customers/9977272
Cathay Pacific. (2016). Annual report 2015. https://www.cathaypacific.com/content/dam/cx/about-us/investor-relations/interim-annual-reports/en/2015-cx-annual-report-en.pdf
Cirium. (2019). The On-Time Performance Review 2019. https://cirium.lookbookhq.com/on-time-performance
Clack, C. D., Bakshi, V. A., & Braine, L. (2016). Smart contract templates: foundations, design landscape and research directions. Barclays Bank. http://arxiv.org/abs/1608.00771.
Feldman, D. (2017, March 16). loyalty myths: is breakage good?. Medium. https://medium.com/@dfcatch/loyalty-myths-is-breakage-good-873950da26dc
Frankenfield, J. (2020, July 29). Consensus Mechanism (Cryptocurrency). Investopedia. https://www.investopedia.com/terms/c/consensus-mechanism-cryptocurrency.asp
IATA. (2018, October). Blockchain In Aviation - Exploring the fundamentals use cases and industry initiatives. The International Air Transport Association(IATA). https://www.iata.org/contentassets/2d997082f3c84c7cba001f506edd2c2e/blockchain-in-aviation-white-paper.pdf
International Air Transport Association. (2019, December). Economic Performance of the Airline Industry (11th). https://www.iata.org/contentassets
Larry Leung(2019) Airline Loyalty Programs Of Tomorrow Part 1 – Yesterday And TodayExperience. The Skies. http://www.experiencetheskies.com/airline-loyalty-programs-of-tomorrow-part-1-yesterday-and-today/
Loo, J. (2017). The future of travel: New consumer behavior and the technology giving it flight. Think With Google. https://www.thinkwithgoogle.com/_qs/documents/4687/1121-Future-of-Travel-Download.pdf
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf
Qantas. (2019, June 20). Qantas rewards frequent flyers in program overhaul. Qantas News Room. https://www.qantasnewsroom.com.au/media-releases/qantas-rewards-frequent-flyers-in-program-overhaul/
Ramachandran, V., & Rehermann, T. (2017). Can Blockchain Technology Address De-Risking in Emerging Markets?.The World Bank. http://hdl.handle.net/10986/30364
Rowell, D. M. (2010). A History of US Airline Deregulation Part 4: 1979–2010: The Effects of Deregulation–Lower Fares, More Travel, Frequent Flier Programs. The Travel Insider. https://old.thetravelinsider.info/airlinemismanagement/airlinederegulation2.htm
The Economist. (2005, Jan 6). Frequent-flyer miles - In terminal decline?. The Economist. https://www.economist.com/leaders/2005/01/06/in-terminal-decline
Webflyer. (2006). Press room :: Frequent Flyer Facts. Webflyer. http://www.webflyer.com/company/press_room/facts_and_stats/frequent_flyer_facts.php
(五) 其它
Chapple, S., Moerman, L. C. & Rudkin, K. M. (2008). Customer loyalty programmes: IFRIC13 and the ambiguities of revenue recognition [Paper presentation]. Accounting and Finance Association of Australia and New Zealand Conference, Sydney. https://ro.uow.edu.au/commpapers/493
Landry, C. (2008). Aeroplan: The redemption dilemma–Strategic considerations of dynamic rewards [Presentation presentation]. FFP Conference 2008, Istanbul.
Madhwal, Y., & Panfilov, P. B. (2017b). Industrial case: Blockchain on aircraft’s parts supply chain management. American Conference on Information Systems 2017 Workshop on Smart Manufacturing Proceedings, 6. https://aisel.aisnet.org/sigbd2017/6