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    題名: 以科技接受模式探討行動叫車App之使用行為-以Uber為例
    Customer adoption of mobile taxi applications: the application of technology acceptance model to the service of Uber
    作者: 呂慈曾
    Lu, Tzu Tseng
    貢獻者: 陳建維
    呂慈曾
    Lu, Tzu Tseng
    關鍵詞: 科技接受模式
    計程車
    行動叫車
    應用程式
    知覺有用性
    社會影響
    行動服務品質
    使用意願
    Technology acceptance model
    Taxi
    Mobile taxi
    App
    Perceived usefulness
    Social influence
    Mobile service quality
    Willingness to use
    日期: 2017
    上傳時間: 2017-07-24 11:56:30 (UTC+8)
    摘要: 隨著5G網路通訊技術逐漸發展成熟、雲端服務及由互聯網所帶來的數位化商機,2015年行動商務的使用者人數,呈現爆發性的成長,而行動商務所帶來的各式服務,逐漸擴大到每個人的日常生活圈。
    行動叫車則是其中一種服務,有別於一般傳統計程車服務,行動叫車僅需透過手機App便能免費叫車,消費者漸漸不再使用電話叫車,而改採行動App來叫車。行動叫車App已成為計程車市場的趨勢,且行動叫車市場持續性的成長中。
    過去在預測消費者對於新科技使用的行為時,學者大多以科技接受模式(Technology Acceptance Model,簡稱TAM)為基礎來探討,故本研究以科技接受模式為基礎,再加入「社會影響」、「個人需求」、「行動服務品質」、「知覺風險」、「顧客滿意度」五項變數,以Uber為例,探討消費者使用行動叫車App的影響因素。本研究採用問卷分析方式,有效問卷共計343份,經迴歸分析後發現,影響使用意願的因素為「社會影響」、「行動服務品質」、「知覺有用性」及「顧客滿意度」四項,而「個人需求」、「知覺風險」對使用意願的影響則不顯著。另外,「知覺易用性」雖然沒有對使用意願產生影響,但會影響「知覺有用性」,進而影響使用意願。
    最後依據研究結果給予計程車業者建議,盼作為未來行動App叫車服務發展與行銷策略的參考。
    With the technology in the 5th generation mobile networks gradually becoming mature, as well as the existing cloud services and the Internet together have brought business opportunities in the Digital sphere. There is an explosive growth of users involving in mobile commerce in 2015, and the various services that mobile commerce has to offer have played a more important role in our daily life than ever.
    Online taxi booking is a kind of mobile commerce service. Different from the old-fashioned way dialing the phone to order a taxi, online taxi booking can only be done via the mobile app free of charge. With its continuous growth, online taxi booking is getting popular and is the future trend of the taxi market.
    Previous studies mostly use the Technology Acceptance Model (TAM) to predict the consumer behavior when it comes to introducing the use of new technology. Hence, this study is constructed on the TAM while adding other 5 factors into consideration: “Social Influence”, “Individual Demand”, “Mobile Service Quality”, “Perceived Risk” and “Customer Satisfaction”. This study will use Uber as a research subject to further explore the influencing factors of consumers` use of the mobile taxi-booking app. After employing regression analysis, it is found that the factors influencing the willingness to use are “Social Influence”, “Mobile Service Quality”, “Perceived Usefulness” and "Customer Satisfaction", while " Individual Demand" and "Perceived Risk" are not significant. In addition, although “Perceived Ease of Use” does not necessarily lead to the consumer’s willingness to use, it may affect the willingness to use through influencing “Perceived Usefulness”.
    In closing, this study has given some advice on the mobile taxi-booking app and the taxi industry’s marketing strategies based on the research findings.
    參考文獻: 中文文獻
    阮氏紅絨(2015),「社會影響對 Facebook 使用者打卡行為之探討」,國立台北科技大學,管理學院經營管理研究所碩士學位論文
    林偉修(2003),「產品品質、服務品質與顧客購後行為關係之研究:以辦公家具個案公司為例」,國立台灣大學,國際企業企業學研究所碩士學位論文
    施佳音(2016),「共享經濟與行動特性和知覺風險對於行為意向的影響-以網路 租賃服務為例」,國立成功大學,經營管理碩士學程碩士論文
    陳姿妙(2015),「Uber 經營模式與法律爭議之探究」,國立政治大學,科技管理與智慧財產研究所碩士學位論文
    陳鉦達、謝安田,「消費者個人特質及從眾消費傾向間關係之研究」,稻江學報,第三卷,第三期
    葉書芳(2002),「服務品質、關係品質以及服務補救 與顧客行為意向關係之實證研究-以國內航空業為例 」,國立成功大學,工業管理研究所碩士論文
    駱韋綱(2013),「產品稀少性透過獨特性需求和從眾行為對知覺價值與購買意願之影響」,真理大學,企業管理學系碩士論文
    羅新興、周慧珍(2006),「組織成員知覺主管支持對其離職傾向之影響—探討工作負荷與成就動機之干擾作用」,人力資源管理學報,冬季號,第六卷,第四期

    英文文獻
    Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 16, 227-247.
    Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405420.
    Ajzen, I. & Fishbein, M., (1980), Understanding attitudes and predicting social behavior, Engle wood Cliffs, NJ: Prentice-Hall.
    Ajzen, I. (1985), From Intentions to Action: A Theory of Planned Behavior, Action-Contory: From Cognition to Behavior, Heidelberg: Springer.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
    Allen, V. L. (1965). Situational factors in conformity. In L. Berkowitz. (Ed.), Advances in Experimental and Social Psychology, New York: Academic Press, 133-175.
    Anderson, L. R. and Holt, C. A. (1996), Classroom Games-Information Cascades, Journal of Economic Perspectives, 10(4), 187-193.
    Anderson, L. R. and Holt, C. A. (1997), Information Cascades in the Laboratory, American Economic Review, 87(5), 847-862.
    Atkinson, J. W. (1957). Motivation determinants of risk-taking behaivor. Psychological Review, 64: 359-372.
    Baird, I. S. and H. Thomas. (1985). Toward A Contingency Model of Strategic Risk Taking, The Academy of Management Review 10, No.2, 230-243.
    Banerjee, A.V. (1992), A Simple Model of Herd Behavior. The Quarterly Journal of Economics, 107(3), 797-818.
    Baron, R., & Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
    Bauer, R. A. (1960), Consumer Behavior as Risk-taking, Hancock, R. S. (ED.), Dynamic Marketing for A Changing World, Chicago: America Marketing Association, 389-398.
    Belk, R., Wallendorf, M., and Sherry, J. J. (1989), The Sacred and the Profane in Consumer Behaviour: Theodicy on the Odyssey, Journal of Consumer Research, 16(1), 1-38.
    Benlian, A., Koufaris, M., and Hess, T., (2011). Service quality in software-as-a-service: Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of Management information systems (28:3), 85-126.
    Bettman, J. R. (1973). Perceived risk and its components: A model and empirical test. Journal of Marketing Research, Vol.10 (May), No.2, 184-190.
    Bhattacherjee (2001), Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
    Boulding, William, Aiay Kalra, Richard Staelin, and Valarie A. Zeithaml. (1993), A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions, Journal of Marketing Research, 30 February, 7-27.
    Brehm, J. W. (1966), A Theory of Psychological Reactance, New York: Academic Press.
    Brock, T. C. (1968). Implications of commodity theory for value change. In A. G. Greenwald, T. C. Brock, & T. M. Ostrom (Eds.), Psychological foundations of attitudes, New York: Academic Press., 243- 275
    Burnkrant, R. E. and Page, T. J. (1988). The structure and antecedents of the normative and attitudinal components of Fishbein’s theory of reasoned action, Journal of Experimental Social Psychology (24), 66-87.
    Buzzell, R. D., & Gale, B. T. (1987), The PIMS Principles, New York: The Free Press.
    Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: An empirical examination. Industrial Management and Data Systems, 105(5), 645– 661.
    Cases, A.-S. (2001), Perceived risk and risk-reduction strategies in Internet shopping, The International Review of Retail, Distribution and Consumer Research, Vol.12, No.4: 375-394.
    Chang, I. C., Li, Y. C., Hung, W. F., and Hwang, H. G. (2005), An Empirical Study on the Impact of Quality Antecedents on Tax Payers’ Acceptance of Internet Tax-filing Systems, Government Information Quarterly, Vol.22, No.3, 389-410.
    Chong, A. Y. L., F.T.S. Chan & K.B. Ooi (2012), Predicting Consumer Decisions to Adopt Mobile Commerce: Cross Country Empirical Examination between China and Malaysia, Decision Support Systems, 53(1), 34-43.
    Comegys, C., M. Hannula, and J. Väisänen. (2009), Effects of consumer trust and risk on online purchase decision- making: A comparison of Finnish and United States students, International Journal of Management, Vol.26, No.2, 295-309.
    Coursaris, C., Hassanein, K., and Head, M. (2003), M-commerce in Canada: An interaction framework for wireless privacy, Canadian Journal of Administrative Sciences (20:1), 54-73.
    Cox, D. F. (1967), Risk Handling in Consumer Behavior- An Intensive Study of Two Cases, Cox, D. F. (ED.), Risk Taking and Information Handling in Consumer Behavior, Boston: Harvard University Press, 34-81.
    Crespo, A. H., I. R. Del Bosque, and M. M. G. de los Salmones Sanchez. (2009), The influence of perceived risk on Internet shopping behavior: a multidimensional perspective, Journal of Risk Research, Vol. 12, No. 2, 259-277.
    Cunningham, S. M. (1967), The Major Dimension of Perceived Risk, Cox, D. F. (ED.), Risk Taking and Information Handling in Consumer Behavior, Boston: Harvard University Press, 82-108.
    Davis, F. D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13 (3), 319-340.
    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, 9-30.
    Deutsch, H. B. (1955). A Study of Normative and Informational Social Influences upon Individual Judgment. Journal of Abnormal and Social Psychology, 629-636.
    Dowling, Grahame R. (1986), Perceived Risk: The Concept and Its Measurement, Psychology and Marketing, 193-210.
    Featherman, M. A. & Pavlou, P. A. (2003), Predicting E-services Adoption: A Perceived Risk Facets Perspective, International Journal of Human-Computer Studies, Vol.59, No.4, 451-474.
    Festinger, L. (1953). An analysis of compliant behavior. In M. Sherif & M. O. Wilson (Eds.), Group relations at the crossroads, New York: Harper, 232-256.
    Fishbein, M. & Ajzen, I. (1975), Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, MA: Addison-Wesly.
    Fisher, R. J. and Price, L. L. (1992), An Investigation Into the Social Context of Early Adoption Behavior, Journal of Consumer Research, 19(12), 477-486.
    Franke, N., and Schreier, M. (2008), Product Uniqueness as a Driver of Customer Utility in Mass Customization, Marketing Letters, 19(2), 93-107.
    Fromkin, H. L., Olson, J. C., Dipboye, R. L., and Barnaby, D. A. A. (1971), “A Commodity Theory Analysis of Consumer Preferences for Scarce Products,” Proceedings of the 79 th Annual Convention of the American Psychological Association, ed. American Psychological Association, 6(2), 653-654.
    Gale B. T. (1994), Managing Customer Value: Creating Quality and Service that Customers Can See, New York: The Free Press, 28-34.
    Garretson, J. A. and Clow, K. E. (1999), The influence of coupon face value on service quality expectations, risk perceptions and purchase, Journal of Services Marketing, Vol.13, No.1, 59-72.
    Grazioli and Jarvenpaa, (2000), Perils of Internet Fraud: An Empirical Investigation of Deception and Trust with Experienced Internet Consumers, IEEE Transactions on Systems, Man, and Cybernetics, Vol.30, No.4, 395–410.
    Gross, H. E. (1977), Micro and Macro Level Implications for a Sociology of Virtue: The Case of Draft Protesters to the Vietnam War, Sociological Quarterly, 18(3), 319-339.
    Grube, J.W., M. Morgan, and S.T. McGree. (1986), Attitudes Normative Beliefs as Predictor of Smoking Intentions and Behaviors: A Test of Three Models. British Intention of Social Psychology, 25, 81-93.
    Hackman, J. R., & Oldham, G. R. (1975), Development of the job diagnostic survey. Journal of Applied Psychology, 60(2), 159-170.
    Harris, J., and Lynn, M. (1996), Manifestations of the Desire for Unique Consumer Products, paper presented at the American Marketing Association`s Winter Educator`s Conference, Hilton Head, South Carolina.
    Harrison, D. A., MyKytyn, P. Jr., Riemenschneider, C. K. (1997). Executive Decisions About Adoption of Information Technology in small Business: Theory and Empirical Tests, Information Systems Research, Vol. 8, No.2, 171-195
    Heckert, D. M. (1989), The Relativity of Positive Deviance: The Case of the French Impressionists, Deviant Behavior, 10(2), 131-144.
    Hofacker, C. F. (1998), Internet Marketing 3rd edition, Wall Street Journal Handbook Set.
    Holt, D. B. (1995). How Consumers Consume: A Typology of Consumption Practices. Journal of Consumer Research, 22(1), 1-16.
    Hsu, C. H. C., Wolfe, K., & Kang, S. K. (2004). Image assessment for a destination with limited comparative advantages [J]. Tourism Management. 25(1), 121-126
    Jacoby, J. & Kaplan, L. (1972), The Components of Perceived Risk, Proceedings of Third Annual Conference, Association for Consumer Research, 382-393.
    Jarvenpaa, S. L. and P. A. Todd (1996-1997), Consumer reactions to electronic shopping on the Word Wide Web, International Journal of Electronic Commerce, Vol. 1, No. 2, 59–88.
    Karahanna, E., Straub, D. W. & Chervany, N. L. (1999), InformationTechnology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, Vol.23, No.2, 183-213.
    Kelman, H. C. (1961). Processes of opinion change. Public Opinion Quarterly, 25, 57-78.
    Kiesler, C. A., & Kiesler, S. B. (1969). Conformity, Reading, Massachusetts: Addison-Wesley.
    Ko, H., J. Jung, J. Kim, and S.W. Shim (2004), Cross-cultural differences in perceived risk of online shopping, Journal of Interactive Advertising, Vol. 4, No. 2: 20-29.
    Koford, K., and Tschoegl, A. E. (1998), The Market Value of Rarity, Journal of Economic Behavior and Organization, 34(3), 45.
    Kotler, P. (2003), A Framework for Marketing Management, 2nd ed., N. J. Prentice Hall.
    Kron, J. (1983), Home-Psych: The Social Psychology of Home and Decoration. New York: Potter.
    Kuo, Y.-F., &Yen, S.-N. (2009). Towards an Understanding of the Behavioral Intention to Use 3G Mobile Value-Added Services. Computers in Human Behavior, 25(1), 103-110.
    Landrum H., & Prybutok V. R. (2004). A service quality and success model for the information service industry. European Journal of Operational Research, 156, 628-642.
    Lascu D., & Zinkhan, G. (1999). Consumer conformity: Review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12.
    Lee, J., & Mills, J. E. (2010). Exploring tourist satisfaction with mobile experience technology. International Management Review, 6(1), 91-101.
    Lim, Nena. (2003), Consumers’ Perceived Risk: Sources versus Consequences, Electronic Commerce Research and Applications, Vol. 2, 216-228.
    Lin Wen-Bao (2007). The exploration of customer satisfaction model from a comprehensive perspective. Expert Systems with Applications, 33, 110-121.
    Lynn, M. (1992), Scarcity’s Enhancement of Desirability: The Role of Naïve Economic Theories, Basic and Applied Social Psychology, 13(1), 67-78.
    Lynn, M. and Bogert, P. (1996), The Effect of Scarcity on Anticipated Price Appreciation, Journal of Applied Social Psychology, 26(22), 1978-1984.
    Lynn, M., and Harris, J. (1997), The Desire for Unique Consumer Products: A new Individual Differences Scale, Psychology and Marketing, 14(6), 601-616.
    M. S. Featherman, and P. A. Pavlou. (2003), Predicting e-services adoption: A perceived
    risk facets perspective, International Journal of Human-Computer Studies Vol. 59,
    No. 4, 451-474.
    Macinnis, H. (1997). Consumer behavior. New York: Houghton Mifflin Company, 393-394.
    Madrigal, R. (2000). The influence of social alliances with sports teams on intentions to purchase corporate sponsors, products. Journal of Advertising, 29(4), 13-24.
    Maslach, C., Stapp, J. & Santee, R. T. (1985) Individuation: Conceptual analysis and assessment, Journal of Personality and Social Psychology, 49(3): 729-738.
    Mathieson, K. (1991), Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior, Information Systems Research, 2(3), 173-192.
    McClelland, D. C., Atkinson, J. W., Clark, R. A., & Lowell, E. L. (1953). The achievement motive. New York: Application.
    McCorkle, D. E. (1990), The role of perceived risk in mail order catalog shopping, Journal of Direct Marketing, Vol. 4, No. 4, 26–35.
    McKnight, D.L., Choudhury, V. & Kacmar, C. (2002), The impact of initial consumer trust on intentions to transact with a web site: A Trust Building Model, Journal of Strategic Information Systems, 11, 297-323.
    Mitchell, V.-W. and Greatorex, M. (1993). Risk perception and reduction in the purchase of consumer services. Service Industries Journal, Vol. 13 (Oct), No. 4, 179-200.
    Miyazaki, Anthony D. and Ana Fernandez. (2001), Consumer perceptions of privacy and
    security risks for online shopping, The Journal of Consumer Affairs, Madison, Summer, (35:1), 27-44.
    Moon, J. W., & Kim, Y. G. (2001), Extending the TAM for a World Wide Web context, Information & Management, 38(4), 217-230.
    Moore, G.C., Benbasat, I. (1991), Development of an instrument to measure the perception of adopting an information technology innovation. Information System Research, 2(3), 192-222.
    Murray, K. B. & Schlacter, J. L. (1990), The Impact of Services Versus Goods on Consumers’ Assessment of Perceived Risk and Variability, Journal of the Academy of Marketing Science, Vol.18, No.1, 51-65.
    Nelson, P. (1970). Advertising as information. Journal of Political Economy, Vol. 81, 729-754.
    Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & education, 48, 250-267.
    P.E. Pedersen, Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters. (2005), Journal of Organizational Computing and Electronic Commerce, 15(3), 203-222.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. The Journal of Marketing, 49(4), 41-50.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A Multiple- Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 12-40.
    Park, S. Y. (2009), An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational technology & society, 12 (3), 150–162.
    Perry, M. and B. C. Hamm. (1969), A Comparative Analysis of Three Consumer Decision Strategies, Journal of Consumer Research, Vol. 2, 29-36.
    Peter, J. P. and M. J. Ryan. (1976), An investigation of perceived risk at the brand level, Journal of Marketing Research, Vol. 5, No. 13, 184-188.
    Peterson, G. W., Rollins, B. C., & Thomas, D. L. (1985). Parental influence and adolescent conformity. Youth and Society, 16(4), 397-420.
    Rose, R. L., Bearden, W. O., & Manning, K. C. (2001). Attributions and conformity in illicit consumption: The mediating role of group attractiveness. Journal of Public Policy and Marketing, 20.
    Roselius, T. (1971), Consumer rankings of risk reduction methods, Journal of Marketing, Vol. 35, No. 1, 56–61.
    Ross, I. (1975). Perceived risk and consumer behavior: A critical review. Advances in Consumer Research, Vol. 2, No. 1, 1-19.
    Rudie, M.J., and Wansley, H.B. (1985), The merrill lynch quality program, in Services Marketing in a Changing Environment. T. M. Bloch, G. D. Upah, and V. A. Zeithaml, eds. Chicago: American Marketing Association, 7-9.
    S. Bikhchandani, D. Hirshleifer, and I. Welch (1992), A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades, The Journal of Political Economy, 100(5), 992-1026.
    Sasser, W. E., Olsen, R. P., Wyckoff, D. D., Harvard, U., & Graduate School of Business, A. (1978). Management of service operations: text, cases, and readings. Boston: Allyn and Bacon.
    Siau, K., Lim, E.P., and Shen, Z. (2001), Mobile Commerce: Promises, Challenges, and Research Agenda, Journal of Database Management (12:3), 4-13.
    Snyder, C. R. (1992), Product Scarcity by Need for Uniqueness Interaction: A Consumer Catch-22 Carousel, Basic and Applied Social Psychology, 13(1).9-24.
    Spector, P.E. (1985), Higher order need strength as a moderator of the job scope employee outcome relationship: a meta-analysis, Journal of Occupational Psychology, Vol. 58, No. 2, 119-127.
    Stone, R. N. & Gronhaug, K. (1993), Perceived Risk: Further Considerations for the Marketing Discipline, European Journal of Marketing, Vol.27, No.3, 39-50.
    Szymanski, D.M., & Hise, R.T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322.
    T.S.H. Teo, S.H. Pok, (2003), Adoption of WAP-enabled mobile phones among Internet users, International Journal of Management Science, 31 (6), 483–498.
    Taylor, J. W. (1974), The Role of Risk in Consumer Behavior, Journal of Marketing, Vol.39, 54-60.
    Taylor, S., and P. Todd. (1995), Decomposition and crossover effects in the theory of planned behavior: a study of consumer adoption intentions, International Journal of Research in Marketing, Vol.12, 137-155.
    Taylor, S., and Todd, P. A. (1995), Understanding information technology usage: A test of competing models, Information Systems Research,6(2), 144-176.
    Teas, R. K. and Agarwal, S. (2000), The Effects of Extrinsic Product Cues on Consumers` Perceptions of Quality, Sacrifice, and Value, Journal of the Academy of Marketing Science, Vol.28 No.2, 280-292.
    Tian, K. T., Bearden, W. O. and Hunter, G. L. (2001), Consumers’ Need for Uniqueness: Scale Development and Validation, Journal of Consumer Research, 28(1), 199-214.
    Varshney, U., and Vetter, R. (2001), A Framework for the Emerging Mobile Commerce Applications, 34th Hawaii international Conference on System Science, 3516-3525.
    Venkatesh V et al. (2003). User acceptance of information technology toward a unified view. MIS Quart, 27(3), 425-78.
    Venkatesh, V. & Morris, M. G. (2000), Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 24, 115-139
    Woodside, A. G. (1968), Social Character, Product Use and Advertising Appeals, Journal of Advertising Research, Vol.8, No.4, 31-35.
    Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. American Marketing Association, 60(2), 31-46.
    描述: 碩士
    國立政治大學
    國際經營與貿易學系
    104351034
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    資料類型: thesis
    顯示於類別:[國際經營與貿易學系 ] 學位論文

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