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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/119133
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/119133

    Title: 體驗式旅遊平台之再購意圖實證研究
    The empirical research of repurchase intention in the experiential tourism platform
    Authors: 王耀德
    Wang, Yao-Ter Owen
    Contributors: 蔡瑞煌

    Wang, Yao-Ter Owen
    Keywords: 設計科學
    Design science
    Service encounter
    Repurchase intention
    User experience
    Matching platform
    Date: 2018
    Issue Date: 2018-08-01 16:24:06 (UTC+8)
    Abstract: 觀光產業已經從傳統旅行社走向電子商務,加上近年來旅遊的趨勢開始走向自由行及體驗型態的模式,故旅遊的行程內容都需要安排及訂製,一般旅行社已無法滿足旅客需要,所以體驗式旅遊服務的需求未被滿足,若此時市場上能夠出現媒合旅客及提供體驗式旅遊的專家之平台,將可彌補此缺口。因此本研究採用設計科學進行研究,從商業模式分析至系統開發與實做,至發展模型並進行驗證,以確認所發展的體驗式旅遊平台滿足市場需求,使得消費者願意再次回來平台購買遊程服務。
    透過學術文獻的理論回顧,本研究設計了概念性驗證模型,來探討消費者的再購意圖。研究結果發現使用者體驗(UX,user experience)以及服務接觸(service encounter)都分別對使用者滿意度造成影響,本研究使用者滿意度分為對平台的滿意度以及對服務的滿意度,且對平台的滿意度亦會影響對服務的滿意度,同時這兩個滿意度都會影響消費者的再購意圖。
    The tourism industry has transformed from traditional travel agency to e-commerce. In recent years, tourism shows a trend of self-service traveling and experience type. Hence, the contents of traveling need to be arranged and planned in advance. Under this circumstance, traditional travel agency cannot satisfy tourists’ demands, and thus the demand of experience tourism service is still waiting to be met. If there is a platform that can match tourists and professional travel guides who are able to provide experience tours in the market, such gap can be filled. Therefore, this research adopted design science to make a research from business model analysis to system development and practical operation, and then to develop and verify the model so as to confirm if the developed experience tourism platform can meet market demand and attract consumers to repurchase tour service on the platform.
    Through literature review, this research designs a model of proof of the concept to explore consumers’ repurchase intention. The research results discovered that both user experience (UX) and service encounter have an influence on user satisfaction. This research classifies user satisfaction into platform satisfaction and service satisfaction. In addition, satisfaction on platform will affect the service satisfaction, and both kinds of satisfactions will influence consumers’ repurchase intention.
    The research results can provide a reference for start-up companies. Using this model will start new business effectively and reduce the failure rate. When e-commerce platform involves service staffs in the field, the findings of this research can be referred. There are three major points that should be brought to the forefront in service encounters. Improving consumers’ satisfaction on service through satisfying their needs can produce the adhesion of customers so as to attract them to repurchase on the platform, which will also generate the word-of-mouth effect, and achieve business benefits.
    Additionally, this research also provides a methodology derived from design science. Taking design science as the main axis, this thesis finds out the market gap via business analysis, develops a new business model, and designs a system based on this new business model. This research also combines theory studies on internet platform and service. Through adopting the perspective of service encounter, this research extents e-commerce to the service field related with people and can provide a reference for service platform researchers to make further studies.
    Reference: 中文文獻
    1. 王凱, & 張震元. (2012). 整合實用性, 享樂性與社群認同性建構社群網站態度衡量模型之研究. 資訊管理學報, 19(2), 275-313.
    2. 王耀德(2017). 趣吧Tripbaa旅行社-顧客導向的行程設計. 中山管理評論, 25(3),617-642.
    3. 交通部觀光局(2016)。中華民國104年觀光統計年報。取自交通部觀光局網站:http://admin.taiwan.net.tw/upload/contentFile/auser/b/annual_statistical_2015_htm/Chinese/htm/p01.htm
    1. Airbnb (2015). Airbnb Summer Travel Report: 2015. Retrieved from Airbnb website: http://blog.atairbnb.com/wp-content/uploads/2015/09/Airbnb-Summer-Travel-Report-1.pdf.
    2. Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing science, 12(2), 125-143.
    3. Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. The Journal of marketing, 53-66.
    4. Andrade, M. S., & Bunker, E. L. (2009). A model for self‐regulated distance language learning. Distance Education, 30(1), 47-61.
    5. Babin, B. J., Darden, R. W., and Mitch, G., 1994, Work and/or fun: measuring hedonic and utilitarian shopping value, Journal of Consumer Research, 20(4), 644-656.
    6. Babin, B. J., Darden, R. W., and Mitch, G., 1994, Work and/or fun: measuring hedonic and utilitarian shopping value, Journal of Consumer Research, 20(4), 644-656.
    7. Baker, J., & Cameron, M. (1996). The effects of the service environment on affect and consumer perception of waiting time: An integrative review and research propositions. Journal of the Academy of Marketing Science, 24(4), 338-349.
    8. Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of marketing, 66(2), 120-141.
    9. Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing letters, 2(2), 159-170.
    10. Bennett, M. M., & Lai, C. W. K. (2005). The impact of the internet on travel agencies in Taiwan. Tourism and Hospitality Research, 6(1), 8-23.
    11. Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in web-based decision support systems. Decision support systems, 37(2), 187-197.
    12. Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 351-370.
    13. Bitner, M. J., Booms, B. H., & Mohr, L. A. (1994). Critical service encounters: The employee's viewpoint. The Journal of Marketing, 95-106.
    14. Bitner, M. J., Booms, B. H., & Tetreault, M. S. (1990). The service encounter: diagnosing favorable and unfavorable incidents. The Journal of Marketing, 71-84.
    15. Bloch, P. H., Sherrell, D. L., & Ridgway, N. M. (1986). Consumer search: An extended framework. Journal of consumer research, 13(1), 119-126.
    16. Bloemer, J., Brijs, T., Swinnen, G., & Vanhoof, K. (2002). Identifying latently dissatisfied customers and measures for dissatisfaction management. International Journal of Bank Marketing, 20(1), 27-37.
    17. Bolton, R. N. (1998). A dynamic model of the duration of the customer's relationship with a continuous service provider: The role of satisfaction. Marketing science, 17(1), 45-65.
    18. Botsman, R., & Rogers, R. (2011). What's mine is yours: how collaborative consumption is changing the way we live.
    19. Brennan, Morgan (2011). The Most Amazing and Absurd Places for Rent. Retrieved from Forbes website: https://www.forbes.com/sites/morganbrennan/2011/09/16/the-most-amazing-and-absurd-places-for-rent/
    20. Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123-138.
    21. Cardozo, R. N. (1965). An experimental study of customer effort, expectation, and satisfaction. Journal of marketing research, 244-249.
    22. Chablo, E. (2000). The importance of marketing data intelligence in delivering successful CRM. In Customer Relationship Management (pp. 57-70). Vieweg+ Teubner Verlag, Wiesbaden.
    23. Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.
    24. Chiu, C. M., Huang, H. Y., & Yen, C. H. (2010). Antecedents of trust in online auctions. Electronic Commerce Research and Applications, 9(2), 148-159.
    25. Choi, K. S., Cho, W. H., Lee, S., Lee, H., & Kim, C. (2004). The relationships among quality, value, satisfaction and behavioral intention in health care provider choice: A South Korean study. Journal of Business Research, 57(8), 913-921.
    26. Christie Mill, R., & Morrison, A. M. (1985). The tourism system. Englewood Cliffs: Prentice Hall.
    27. Cina, C. (1989). Creating an effective customer satisfaction program. Journal of Business & Industrial Marketing, 4(2), 33-42.
    28. Crane, F. G., & Clarke, T. K. (1988). The identification of evaluative criteria and cues used in selecting services. Journal of services marketing, 2(2), 53-59.
    29. Cronin, J.J., Brady, M.K., & Hult, G.T. (2000), "Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments," Journal of Retailing, 76(2), 193-218.
    30. Cushman, W. H., & Rosenberg, D. J. (1991). Human factors in product design. Advances in human factors/ergonomics, 14.
    31. Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
    32. Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47
    33. Dodds, W. B. (1991). In search of value: how price and store name information influence buyers′ product perceptions. Journal of Consumer Marketing, 8(2), 15-24.
    34. Doyle, M. (1987). Survey: value escapes shoppers. Adweek's Marketing Week, 1(January 19), 55-6.
    35. Drucker, P. F. (1954). The practice of management: A study of the most important function in America society. Harper & Brothers.
    36. Dwyer-Owens, D. (2000), The Experience Economy, Franchising World, 32(1), 11-11.
    37. Eggert, A., & Ulaga, W. (2002). Customer perceived value: a substitute for satisfaction in business markets?. Journal of Business & industrial marketing, 17(2/3), 107-118.
    38. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior, 8th. New York: Dryder.
    39. Felson, M., & Spaeth, J. L. (1978). Community structure and collaborative consumption: A routine activity approach. American Behavioral Scientist, 21(4), 614-624.
    40. Fisk, R. P., Brown, S. W., & Bitner, M. J. (1993). Tracking the evolution of the services marketing literature. Journal of retailing, 69(1), 61-103.
    41. Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6-21.
    42. Fornell, C., & Wernerfelt, B. (1987). Defensive marketing strategy by customer complaint management: a theoretical analysis. Journal of Marketing research, 337-346.
    43. Fournier, S., & Mick, D. G. (1999). Rediscovering satisfaction. The Journal of Marketing, 5-23.
    44. Gilmore, J. H., & Pine, B. J. (2012). The Experience Economy, Updated Edition. Blackstone Audio.
    45. Goode, Lauren (2011). Worth It? An App to Get a Cab. Retrieved from The Wall Street Journal website: https://blogs.wsj.com/digits/2011/06/17/worth-it-an-app-to-get-a-cab/
    46. Hair, J. F. (2005). JR., Anderson, RE, Tatham, RL & Black, WC 1998. Multivariate Data Analysis. Prentice-Hall lnc., New Jersey. XX, 730, 12.
    47. Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047-2059.
    48. Hassenzahl, M. (2003). The thing and I: understanding the relationship between user and product. In Funology (pp. 31-42). Springer, Dordrecht.
    49. Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European journal of marketing, 37(11/12), 1762-1800.
    50. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2008). Design science in information systems research. Management Information Systems Quarterly, 28(1), 6.
    51. Hirschman, A. O. (1970). Exit, voice, and loyalty: Responses to decline in firms, organizations, and states (Vol. 25). Harvard university press.
    52. Hsu, P. F., Yen, H. R., & Chung, J. C. (2015). Assessing ERP post-implementation success at the individual level: Revisiting the role of service quality. Information & Management, 52(8), 925-942.
    53. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
    54. Hui, M. K., & Bateson, J. E. (1991). Perceived control and the effects of crowding and consumer choice on the service experience. Journal of consumer research, 18(2), 174-184.
    55. Hunt, H. K. (Ed.). (1977). Conceptualization and measurement of consumer satisfaction and dissatisfaction (No. 77-103). Marketing Science Institute.
    56. Iivari, J. (2007). A paradigmatic analysis of information systems as a design science. Scandinavian journal of information systems, 19(2), 5.
    57. Ikkala, T., & Lampinen, A. (2014, February). Defining the price of hospitality: networked hospitality exchange via Airbnb. In Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing (pp. 173-176). ACM.
    58. Johnson, M. S., Garbarino, E., & Sivadas, E. (2006). Influences of customer differences of loyalty, perceived risk and category experience on customer satisfaction ratings. International Journal of Market Research.
    59. Kettinger, W.J. and Lee, C.C., “Perceived Service Quality and User Satisfaction with the Information Services Function,” Decision Science, 25(5), 1994, 737-766.
    60. Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792.
    61. Kim, D. J., Kim, W. G., & Han, J. S. (2007). A perceptual mapping of online travel agencies and preference attributes. Tourism management, 28(2), 591-603.
    62. Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
    63. Kotler, P., & Keller, K. L. (2009). Marketing management (13th ed.). Upper Saddle.
    64. Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: an illustration from a business-to-business service context. Journal of the academy of marketing science, 32(3), 293-311.
    65. Liao, C., Palvia, P., & Lin, H. N. (2006). The roles of habit and Website quality in ecommerce. International Journal of Information Management, 26(6), 469-483.
    66. Liljander, V., & Strandvik, T. (1995). The nature of customer relationships in services. Advances in services marketing and management, 4(141), 67.
    67. Liljander, V., & Strandvik, T. (1995). The nature of customer relationships in services. Advances in services marketing and management, 4(141), 67.
    68. Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing theory and applications, 13(3), 432-438.
    69. Magal, S. R., & Strouble, D. D. (1991). A Users’ Perspective of the Critical Success Factors Applicable to Information Centers. Information Resources Management Journal (IRMJ), 4(2), 22-34.
    70. Mägi, A. W. (2003). Share of wallet in retailing: the effects of customer satisfaction, loyalty cards and shopper characteristics. Journal of Retailing, 79(2), 97-106.
    71. Magretta, J. (2002). Why Business Models Matter. Harvard business review, 86-92.
    72. Mahadevan, B. (2000). Business models for Internet-based e-commerce: An anatomy. California management review, 42(4), 55-69.
    73. Markus, L. M. (2001). Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success. Journal of management information systems, 18(1), 57-93.
    74. Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of retailing, 77(1), 39-56.
    75. McGrath, M. A., & Otnes, C. (1995). Unacquainted influencers: when strangers interact in the retail setting. Journal of Business Research, 32(3), 261-272.
    76. McKinney, V., Yoon, K. & Zahedi, F.,“The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach,"Information Systems Research (13:3), 2002, pp. 296-315.
    77. Mittal, V., & Kamakura, W. A. (2001). Satisfaction, repurchase intent, and repurchase behavior: Investigating the moderating effect of customer characteristics. Journal of marketing research, 38(1), 131-142.
    78. Moore, R., Moore, M. L., & Capella, M. (2005). The impact of customer-to-customer interactions in a high personal contact service setting. Journal of Services Marketing, 19(7), 482-491.
    79. Morris, M., Schindehutte, M., & Allen, J. (2005). The entrepreneur's business model: toward a unified perspective. Journal of business research, 58(6), 726-735.
    80. Nunamaker Jr, J. F., Dennis, A. R., Valacich, J. S., & Vogel, D. R. (1991). Information technology for negotiating groups: Generating options for mutual gain. Management Science, 37(10), 1325-1346.
    81. Nunamaker, D. M., Butterweck, D. M., & Provost, M. T. (1990). Fatigue fractures in thoroughbred racehorses: relationships with age, peak bone strain, and training. Journal of Orthopaedic Research, 8(4), 604-611.
    82. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 460-469.
    83. Osterwalder, A., Pigneur, Y., & Tucci, C. L. (2005). Clarifying business models: Origins, present, and future of the concept. Communications of the association for Information Systems, 16(1), 1.
    84. Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.
    85. Pabel, A., & Pearce, P. L. (2016). Tourists’ responses to humour. Annals of Tourism Research, 57, 190-205.
    86. Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3), 45-77.
    87. Pine, B. J., & Gilmore, J. H. (1998). Welcome to the experience economy. Harvard business review, 76, 97-105.
    88. Pine, B. J., Pine, J., & Gilmore, J. H. (1999). The experience economy: work is theatre & every business a stage. Harvard Business Press.
    89. Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS quarterly, 173-187.
    90. Ranaweera, C., & Prabhu, J. (2003). The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting. International journal of service industry management, 14(4), 374-395.
    91. Saeed, K. A., Hwang, Y., & Mun, Y. Y. (2003). Toward an integrative framework for online consumer behavior research: a meta-analysis approach. Journal of Organizational and End User Computing (JOEUC), 15(4), 1-26.
    92. Schmitt, B. H. (2000). Experiential marketing: How to get customers to sense, feel, think, act, relate. Simon and Schuster.
    93. Schor, J. B., & Fitzmaurice, C. J. (2015). 26. Collaborating and connecting: the emergence of the sharing economy. Handbook of research on sustainable consumption, 410.
    94. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Malhotra, systems research, 8(3), 240-253.
    95. Shim, J. P., Shin, Y. B., & Nottingham, L. (2002). Retailer web site influence on customer shopping: exploratory study on key factors of customer satisfaction. Journal of the Association for Information systems, 3(1), 3.
    96. Shostack, G. L. (1987). Service positioning through structural change. The Journal of Marketing, 34-43.
    97. Smith, W. L. (2005). Experiential tourism around the world and at home: definitions and standards. International Journal of Services and Standards, 2(1), 1-14.
    98. Solomon, M. R., Surprenant, C., Czepiel, J. A., & Gutman, E. G. (1985). A role theory perspective on dyadic interactions: the service encounter. The Journal of Marketing, 99-111.
    99. Sommer, R., & Sommer, B. A. (1989). Social facilitation effects in coffeehouses. Environment and Behavior, 21(6), 651-666.
    100. Stähler, P. (2002). Business models as an unit of analysis for strategizing. In International workshop on business models, Lausanne, Switzerland (pp. 4-5).
    101. Statista (2017a). Distribution of digital travel sales worldwide from 2014 to 2020, by region. Retrieved from Statista website: https://www.statista.com/statistics/499760/forecast-of-online-travel-sales-share-by-region/
    102. Statista (2017b). Leading travel destination and accommodation websites in the United States in November 2016, based on market share of visits. Retrieved from Statista website: https://www.statista.com/statistics/265771/most-popular-travel-websites-in-the-us-based-on-market-share/
    103. Statistic Brain. (2016), Internet Travel & Hotel Booking Statistics. Retrieved from Statistic Brain website: http://www.statisticbrain.com/internet-travel-hotel-booking-statistics/
    104. Sullivan, J. R., & Walstrom, K. A. (2001). Consumer perspectives on service quality of electronic commerce web sites. Journal of Computer Information Systems, 41(3), 8-14.
    105. Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. The Journal of Marketing, 86-96.
    106. Szymanski, D. M & Hise, R.T. (2000), “E-satisfaction: An Initial Examination”, Journal of Retailing, 76(3), pp.309-322.
    107. Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of retailing, 76(3), 309-322.
    108. Tapscott, D. (1996). The digital economy: Promise and peril in the age of networked intelligence (Vol. 1). New York: McGraw-Hill.
    109. Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction. Journal of retailing, 70(2), 163-178.
    110. Teece, D. J. (2010). Business models, business strategy and innovation. Long range planning, 43(2), 172-194.
    111. The Economist (2013). The rise of the sharing economy. Retrieved from The Economist website: https://www.economist.com/news/leaders/21573104-internet-everything-hire-rise-sharing-economy
    112. Vantrappen, H. (1992). Creating customer value by streamlining business processes. Long Range Planning, 25(1), 53-62.
    113. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
    114. Venkatraman, N., & Henderson, J. C. (1998). Real strategies for virtual organizing. Sloan management review, 40(1), 33-48.
    115. Wakefield, K. L., & Blodgett, J. G. (1999). Customer response to intangible and tangible service factors. Psychology & Marketing, 16(1), 51-68.
    116. Walls, J. G., Widmeyer, G. R., & El Sawy, O. A. (1992). Building an information system design theory for vigilant EIS. Information systems research, 3(1), 36-59.
    117. Wang, W. T., & Wang, C. C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), 761-774.
    118. Watanabe, C., Naveed, K., & Neittaanmäki, P. (2016). Co-evolution of three mega-trends nurtures un-captured GDP–Uber’s ride-sharing revolution. Technology in Society, 46, 164-185.
    119. Winsted, K. F. (1997). The service experience in two cultures: A behavioral perspective. Journal of Retailing, 73(3), 337-360.
    120. Won Jeong, S., Fiore, A. M., Niehm, L. S., & Lorenz, F. O. (2009). The role of experiential value in online shopping: The impacts of product presentation on consumer responses towards an apparel web site. Internet Research, 19(1), 105-124.
    121. World Tourism Organization (2017). Sustained growth in international tourism despite challenges. Retrieved from World Tourism Organization website: http://www2.unwto.org/press-release/2017-01-17/sustained-growth-international-tourism-despite-challenges
    122. Wu, C. H. J., & Liang, R. D. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593.
    123. Xu, J. D., Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: An empirical test in the e-service context. Mis Quarterly, 37(3).
    124. Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an Internet shopping site (SITEQUAL). Quarterly journal of electronic commerce, 2(1), 31-45.
    125. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. the Journal of Marketing, 31-46.
    126. Zeithaml, V. A., Parasuraman, A., & A. (2002). Service quality delivery through web sites: a critical review of extant knowledge. Journal of the academy of marketing science, 30(4), 362.
    127. Zervas, G., Proserpio, D., & Byers, J. W. (2014). The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research.
    Description: 博士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0101356505
    Data Type: thesis
    DOI: 10.6814/DIS.NCCU.MIS.011.2018.A05
    Appears in Collections:[資訊管理學系] 學位論文

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