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研究生:卓品如
研究生(外文):Pin-Ju Chuo
論文名稱:使用方法目的鏈探討兩岸三地遊客對日本之旅遊意象
論文名稱(外文):The means-ends chain method to Explore the destination image of Japan from three places on both sides of the Taiwan Strait
指導教授:林耀欽林耀欽引用關係
指導教授(外文):Yao-Chin Lin
口試委員:蔡秉恒李沿儒
口試委員(外文):Bing-Heng TsaiYan-Ru Li
口試日期:2019-06-14
學位類別:碩士
校院名稱:元智大學
系所名稱:資訊管理學系
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:59
中文關鍵詞:電子商務方法目的鏈旅遊意向內容分析法
外文關鍵詞:E-CommerceMeans-End ChainDestination imageContent Analysis
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  本研究使用手段與目的鏈(Means-End Chain, MEC)分析探討華語地區對於日本的旅遊意向,瞭解消費者前往日本旅遊的動機與行為。運用MEC理論衡量前往日本旅遊的產品屬性、使用結果以及所產生出的個人價值,以具體的內容分析法解釋台灣、香港及中國大陸對於日本旅遊的屬性(Attributes)、結果(Conquence)與價值(Value),進行電子F商務網站平台的關鍵字資料探勘。本研究主要目的為探討兩岸三地的遊客對於日本地區的旅遊意向,以及從中挖掘不同城市中遊客前往日本旅遊所獲得的價值。
  根據研究結果發現11個MEC組成因素,台灣的三個組成因素中確定了價值為「便利性」、「舒適生活」;香港的四個組成因素中產生的價值為「舒適生活」、「便利性」;中國大陸的四個組成因素中產生的價值為「便利性」、「安全感」、「樂趣」。研究結論根據價值階梯圖發現兩岸三地偏好的不同之處,屬性方面「名勝景點」為兩岸三地的共同旅遊首選,而台灣會偏好舒適放鬆的地點,在結果方面香港會偏好「節省時間」此因素,於最終的價值顯示中國大陸重視「樂趣」與「安全感」。
This study uses Means-End Chain (MEC) analysis to explore the Chinese-speaking intentions of the Chinese-speaking region and to understand the motivations and behaviors of consumers traveling to Japan. Using MEC theory to measure the product attributes, usage results and personal value generated by traveling to Japan, and explain the attributes, results and values of Japanese tourism in three cities of Taiwan, Hong Kong and mainland China by means of specific content analysis. Keyword data mining of the website platform. The main purpose of this study is to explore the tourist intentions of tourists from three cities in the Japanese region, and to explore the value of tourists from different cities to Japan.
According to the results of the study, 11 MEC components were found. Among the three components of Taiwan, the value was determined to be “convenience” and “comfortable life”. The value of the four components of Hong Kong was “comfortable life” and “convenience”. The value of the four components of mainland China is "convenience", "security" and "fun". The conclusions of the study are based on the value ladder diagram to find the differences between the preferences of the three cities. In terms of attributes, the “points of interest” are the first choice for the three cities, and Taiwan will prefer a place of comfort and relaxation. In terms of results, Hong Kong will prefer to save time. This factor, in the final value, shows that mainland China values "fun" and "security."
書名頁..................................................i
論文口試委員審定書......................................ii
中文摘要..............................................iii
英文摘要...............................................iv
誌謝...................................................v
目錄..................................................vi
表目錄...............................................vii
圖目錄..............................................viii
第一章 緒論.............................................1
第一節 研究背景.........................................1
第二節 研究動機與目的....................................3
第二章 文獻探討.........................................5
第一節 旅遊電子商務市場..................................5
第二節 日本旅遊意圖......................................6
第三節 日本旅遊意象定義..................................9
第四節 方法目的鏈架構(MEC)..............................12
第五節 目的地屬性(Destination Attributes)...............13
第六節 內容分析法.......................................16
第三章 研究方法.........................................18
第一節 研究架構.........................................18
第二節 資料蒐集方法.....................................19
第三節 研究資料定義.....................................19
第四節 資料分析方法.....................................20
第四章 研究結果.........................................26
第一節 資料蒐集與整理....................................26
第二節 各城市關鍵詞頻率..................................27
第三節 研究結果.........................................31
第四節 研究限制.........................................42
第五章 結論與建議.......................................43
第一節 研究結論.........................................43
第二節 研究建議.........................................46
第三節 未來展望.........................................47
參考文獻...............................................48
附錄一.................................................55
附錄二.................................................57
中文文獻
1.陳貞吟、盧庭韻(2008)。旅遊部落格之目的地行銷意涵—以淡水為例。觀光休閒學報,14(2),135-159。
2.蔡秉恒(2015)。以遊客評論分析城市目的地印象、生活體驗與遊後滿意度之影響。元智大學資訊管理學系博士論文,桃園縣。取自https://hdl.handle.net/11296/6esu2u
3.鄭宗哲(2007)。中間化、去中間化、再中間化-傳統旅行社與網際網路融合過程。國立交通大學經營管理研究所碩士論文,新竹市。取自https://hdl.handle.net/11296/63qpnt
4.陳素燕(2010)。旅遊網站商業模式個案研究-以易遊網為例。國立高雄應用科技大學觀光與餐旅管理系碩士論文,高雄市。取自https://hdl.handle.net/11296/dp6rrs
5.何平世(2001)。電子商務對旅行社產業經營策略的影響。國立臺灣大學資訊管理研究所碩士論文,台北市。取自https://hdl.handle.net/11296/3dmk85
6.黃榮鵬(2003)。電子商務對旅行業經營管理影響之研究。國立中山大學企業管理學系研究所博士論文,高雄市。取自https://hdl.handle.net/11296/jqyz7h
7.黃文昇(1998)。在網際網路的旅遊業經營型態。國立臺灣大學商學研究所碩士論文,台北市。取自https://hdl.handle.net/11296/b98yk6
8.陳佳琳(2013)。探討自助旅遊者國外旅遊景觀之體驗價值。國立臺灣大學園藝暨景觀學系碩士論文,台北市。取自https://hdl.handle.net/11296/qyfwew
9.鍾桂珍(2015)。台灣遊客赴日本旅遊行為之研究。玄奘大學企業管理學系碩士在職專班碩士論文,新竹市。 取自https://hdl.handle.net/11296/r89yhp
10.黃盈裕(2001)。顧客價值的方法目標鏈結模式之研究--以童裝之消費經驗為例。國立中山大學企業管理學系研究所博士論文,高雄市。
取自https://hdl.handle.net/11296/44e658
11.王勝裕(2012)。籃球鞋消費行為之研究-方法目的鏈之應用。國立臺灣師範大學運動與休閒管理研究所碩士論文,台北市。
取自https://hdl.handle.net/11296/wpzb66
12.羅悅逢(2014)。方法目的鏈探討婚禮顧問顧客價值之研究。國立聯合大學管理碩士學位學程碩士論文,苗栗縣。取自https://hdl.handle.net/11296/9zrxrm
13.周珮瑄(2012)。新人對蜜月旅行目的地屬性和參與型態偏好之研究。逢甲大學景觀與遊憩碩士學位學程碩士論文,台中市。
取自https://hdl.handle.net/11296/wyvcu4
14.林水松(2010)。臺灣旅客選擇海外蜜月旅行套裝行程及旅行社因素之研究。銘傳大學觀光研究所碩士在職專班碩士論文,台北市。
取自https://hdl.handle.net/11296/69bsg6
15.楊怡品(2012)。以方法目的鏈探討遊輪旅客的價值內涵。靜宜大學觀光事業學系碩士論文,台中市。 取自https://hdl.handle.net/11296/2k8ha5
16.張怡平(2017)。移動電商拍賣平台未來契機的探討—以台灣YAHOO!奇摩拍賣、露天拍賣、蝦皮拍賣為例。國立清華大學經營管理碩士在職專班碩士論文,新竹市。 取自https://hdl.handle.net/11296/79jy8q
17.呂文博、謝宗恒、周欣宜、陳佩君、歐聖榮(2013)。旅遊目的地價值內涵之研究。
18.林勤豐、葉明義、邱兆民(1999)。「方法目的鏈」研究法建構行銷研究變數與行銷策略之探討。中華管理評論,Vol.2, No.6, pp.107-128。
19.曾光華、陳貞吟、張永富(2004)。以方法目的鏈探討旅客懷舊體驗的內涵與價值。戶外遊憩研究,17(4),43-69。doi:10.6130/JORS.2004.17(4)3
20.詹定宇、彭西鄉(2010)。蜜月旅行價值內涵之研究:方法目的鏈之應用。戶外遊憩研究,23(1),1-25。doi:10.6130/JORS.2010.23(1)1
21.林仁鈞(2019)。阿里巴巴為企業打造專屬數據管家。
22.鄭斐文(2016)。運用大數據發掘跨境商機。
23.數位時代(2017)。台灣旅遊新創抓對了這些趨勢。
24.旅遊研究所(2016)。台灣的旅遊網站。

英文文獻
25.Ayres L. (2007). Qualitative research proposal – part I: posing the problem. J. Wound Ostomy Continence Nurs. 34, 30–32.
26.Ashworth, G.J. and Page, S. (2011). Urban tourism research: recent progress and current paradoxes. Tourism Managemant, 32(1), 1–15.
27.Anmol Kak. (2017). Designing a Psychology-Based SEO Strategy. Grazitti Interactive.
28.Bloor, M., & Wood, F. (2006). Keywords in qualitative methods: A vocabulary of research concepts.
29.Baloglu, S. and McCleary, K. W. (1999). A Model of Destination Image Formation. Annals of Tourism Research, 26, 868–897.
30.Beerli, A. and Martin, J.D. (2004). Factors Influencing Destination Image. Annals of Tourism Research, 31, 657–681.
31.arroso Castro, C. and Armario, E. M. and Ruiz, D. M. (2007). The influence of market heterogeneity on the relationship between a destination's image and tourists' future behaviour. Journal of Travel Research, 28, 175–187.
32.Buhalis, D., & Law, R. (2008). Progress in Tourism Management Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism r insustainable tourism research: a 25-year bibliometric analysis. J. Sustain. Tour. 23(4), 517–535. doi:10.1080/09669582.2014.978790
33.Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the internet: The state of eTourism research. Tourism Management, 29(4), 609–623.
34.Bing, P., Zheng, X., Law, R., & Fesenmaier, D. R. (2010). The Dynamics of Search Engine Marketing for Tourist Destinations. Journal of Travel Research, 50(4), 365-377. doi:10.1177/0047287510369558
35.Baggio, Rodolfo,& Jacopo A. Baggio. (2011). Experiencing Information Asymmetries in Tourism. Apresentadona 4th Advances in Tourism Marketing Conference, Eslovénia, 6–9 setembro.
36.Berne, C., Garcia-Gonzalez, M., & Mugica, J. (2012). How ICT shifts the power balance of tourism distribution channels. Tourism Management, 33(1), 205–214.
37.Crompton, J.L. (1979). Motivations for Pleasure Vacations, Annals of. Tourism Research, 6 (4), 408–424.
38.Calantone, R. J., Anthony Di, C., Hakam, A., & Bojanic, D. C. (1989). Multiple Multinational Tourism Positioning Using Correspondence Analysis. Journal of Travel Research, 28(2), 25–32.
39.Chacko, H. E., & Fenich, G. G. (2000). Determining the importance of US convention destination attributes. Journal of Vacation Marketing, 6(3), 211–220.
40.Chen, J. S., and Hsu, C. H. C. (2000). Measurement of Korean Tourists Perceived Images of Overseas Destinations. Journal of Travel Research, 38(5), 411–416.
41.Cho, Y. H., & Kim, J. K. (2004). Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Systems with Applications, 26, 233–246.
42.Chang, R. M., Kauffman, R. J., & Kwon, Y. (2014). Understanding the paradigm shift to computational social science in the presence of big data. Decision Support Systems, 63, 67–80.
43.Caruccio, L., Deufemia, V., and Polese, G. (2015). Understanding user intent on the web through interaction mining. Journal of Visual Languages & Computing 31, 230–236.
44.Dolich, I.J. (1969). Congruence relationships between self-images and product brands. Journal of Marketing Research, 6, 80–84.
45.Dann, G. (1977). Anomie, ego-enhancement and tourism. Annals of Tourism Research, 4, 184–194.
46.Denzin N. & Lincoln Y. (Eds.) (2000). Handbook of Qualitative Research. London: Sage Publication Inc.
47.D. Klenosky. (2002). The pull of tourism destinations: A means-end investigation. Journal of Travel Research, 40, 385–395.
48.Dwyer, L., Mellor, R., Livaic, Z., Edwards, D., & Kim, C. (2004). Attributes of destination competitiveness: A factor analysis. Tourism Analysis, 9(2), 91–101.
49.Echtner, C.M. and Ritchie, J.R.B. (1993). The Measurement of Destination Image: An Empirical Assessment. Journal of Travel Research, 31, 3–13.
50.Eusebio, Celeste and Vieira, Armando Luis (2011). Destination Attributes’ Evaluation, Satisfaction and Behavioural Intentions: A Structural Modelling Approach. International Journal of Tourism Research, 15(1), 66–80.
51.Ekinci, Y., Sirakaya-Turk, E., & Preciado, S. (2013). Symbolic consumption of tourism destination brands. Journal of Business Research, 66(6), 711–718.
52.Fakaye, P.C. & Crompton, J.L. (1991). Image differences between prospective, first-time and repeat visitors to the lower Rio Grande valley. Journal of Travel Research, 30 (2), 10-16.
53.Gunn, C. (1972). Vacationscape:Designing tourist regions. Austin, Bureau of Business Research, University of Texas.
54.Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of Marketing, 46(2), 60–72.
55.Gartner, W.C. (1993). Image formation process. Journal of Travel and Tourism Marketing, 2 (2/3), 191–215.
56.Gnoth, J. (1997) Tourism Motivation and Expectation Formation. Annals of Tourism Research, 24, 283–304.
57.Grimmer, J., & Stewart, B. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, 21(3), 267–297. doi:10.1093/pan/mps028
58.Güzel, Berrin. (2017). Destination Attributes in the Eye of the Local People. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(1), s. 128–137.
59.Hanlan, J., & Kelly, S. (2005). Image formation, information sources and an iconic. Australian tourist destination. Journal of Vacation Marketing, 11(2), 163–177.
60.Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative health research, 15(9), 1277–1288.
61.Joseph Sirgy, M. (1985). Using Self-Congruity and Ideal Congruity to Predict Purchase Motivation. Journal of Business Research, 13, 195–206.
62.Joseph Sirgy, M., & Su, C. (2000). Destination Image, Self-Congruity, and Travel Behavior: Toward an Integrative Model. Journal of Travel Research, 38(4), doi:10.1016/j.tourman.2008.01.005
63.Jansen, B. J., and Spink, A. (2006). How are we searching the world wide web? A comparison of nine search engine transaction logs. Information Processing and Management: an International Journal, 42(1), 248–263.
doi: 10.1016/j.ipm.2004.10.007
64.Jansen, B. J., Booth, D. L., and Spink, A. (2008). Determining the Informational, Navigational, and Transactional Intent of Web Queries. Information Processing and Management, 44(3), 1251–1266.
65.Jiang, S, Scott, N, Ding, P (2014) Using means-end chain theory to explore travel motivation: an examination of Chinese outbound tourists. Journal of Vacation Marketing, 21(1), 87–100.
66.Kahle, L. R. & Kennedy, P. (1989). Using the List of Values (LOV) to Understand Consumers. The Journal of Consumer Marketing, 6(3), 5–12.
doi: 10.1108/EUM0000000002549
67.Klenosky, D. B., C. E. Gengler, and M. S. Mulvey. (1993). Understanding the Factors Influencing Ski Destination Choice. Journal of Leisure Research, 25, 362–379.
68.Kim, S.S., Lee, C., & Klenosky, D.B. (2003).The influence of push and pull factors at Korean national parks. Tourism Management, 24(2), 169–180.
69.Levy, S.J. (1958). Symbols By Which We Buy. Advancing Marketing Efficiency. American Marketing Association, 409–416.
70.Lichen Zhou (2005). DESTINATION ATTRIBUTES THAT ATTRACT INTERNATIONAL TOURISTS TO CAPE TOWN.
71.Lo, A., & Lee, C. (2011). Motivations and perceived value of volunteer tourists from Hong Kong. Tourism Management, 32(2), 326–334.
72.Li, M., & Cai, L. A. (2012). The Effects of Personal Values on Travel Motivation and Behavioral Intention. Journal of Travel Research, 51(4), 473–487.
73.Mansfeld, Y. (1992). From motivation to actual travel. Annals of Tourism Research, 19(4), 399–419.
74.Mitchell, A. (1983). The Nine American Lifestyles. New York: Warner.
75.MacKay. and Fesenmaier. (1997). Pictorial element of destination in image formation. Annals of Tourism Research, 24, 537–565.
76.Mayring, P. (2004). Qualitative Content Analysis. In U. Flick, E.v. Kardorff & I. Steinke (Eds.), A companion to qualitative research, 266–269.
77.Mills E. J., & Law, R. (2004). Handbook of consumer behavior, tourism and the Internet. Binghamton, NY: Haworth Hospitality Press.
78.Markus Gratzer & Werthner, H., & Werner Winiwarter. (2004). Electronic business in tourism. Journal of Electronic Business, 36, 76–81.
79.Milano, R., Baggio, R., & Piattelli, R. (2011). The effects of online social media on tourism websites. In R. Law et al. (Eds.). Information and communication technologies in tourism. 11, 471–483.
80.Nunkoo, R., & Ramkissoon, H. (2009). Applying the means-end chain theory and laddering technique to the study of host attitude to tourism. Journal of Sustainable Tourism, 17, 337–355.
81.Rokeach, M. (1973). The nature of human values. 128–132.
82.Ryan, C. (1995). Learning About Tourists from Conversations: The Over-55s in Majorca. Tourism Management, 16, 207–216.
83.Roth, K.P. and Diamantopoulos, A. (2009). Advancing the country image construct. Journal of Business Research, 62, 726–740.
84.Richard Butler. (2015). The evolution of tourism and tourism research. Tourism Recreation Research, 40(1), 16-27. doi: 10.1080/02508281.2015.1007632
85.Ruhanen, L., Weiler, B., Moyle, B.D., McLennan, C.J. (2015). Trends and patterns. 340–352.
86.Stern, E. and Krakover, S. (1993). The Formation of Composite Urban Image. Geographical Analysis, 25, 130–146.
87.Stemler, S. (2001). An overview of content analysis. Practical assessment, Research and Evaluation, 7 (17).
88.Steg, L., & Gifford, R. (2005). Sustainable transport and quality of life. Journal of Transport Geography, 13, 59–69.
89.Spais, G. (2010). Search Engine Optimization (SEO) as a dynamic online promotion technique: The implications of activity theory for promotion managers. Innovative Marketing, 6(1), 7–24.
90.Siddiqui, A. T. (2013). Web Mining Techniques in E-Commerce Applications. arXiv preprint arX-iv:1311.7388
91.Tsai, H. T., Huang, L., & Lin, C. G. (2005). Emerging E-Commerce Development Model for Taiwanese Travel Agencies. Tourism Management, 26(5), 787–796.
92.Vaismoradi, M., Bondas. T., & Turunen, H. (2013). Content Analysis and Thematic Analysis Implications for Conducting a Qualitative Descriptive Study. Journal of Nursing & Health Sciences, 15, 398–405.
93.Woodside, A. G. & Lysonski, S. (1989). A general model of traveler destination choice. Journal of Travel Research, 17(4), 8–14.
94.Walker, R. D. (2002). Film friendly Queenstown: tourism, film, local government and the community. University of Otago.
95.Werthner, H., & Ricci, F. (2004). E-Commerce and Tourism. Communications of the ACM, 47(12), 101–105.
96.Wu, J., Xu, J., & Ekiz, E.H. (2009). Investigating the Push and Pull Motivation of Visiting Domestic Destinations in China: A Means‐End Approach. Journal of China Tourism Research, 5(3), 287–315. doi: 10.1080/19388160903155806.
97.Wagner, A., Kamakura & Thomas, P. Novak. (2012). Value-System Segmentation: Exploring the Meaning of LOV. Journal of Consumer Research, 19(1), 119–132.
98.Xiao, L. Z., Guo, Z. J., and Ambra, D. (2018). Benefit-based O2O commerce segmentation: a means-end chain approach. Electronic Commerce Research, 19(2), 409–449.
99.Yangzhou Hu, & Brent Ritchie, J. R. (1993). Measuring Destination Attractiveness: A Contextual Approach. Journal of Travel Research, 32(2), 25–34.
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