专注论文查重修改6年+经验

适地性行动团购开团意愿之探讨

【中文摘要】:团购此庞大商机已经席捲全球各地多年,商业模式也已经相当成熟。然而就在此时行动科技的发展也愈趋成熟,于是有许多不同的领域

毕业论文查重去哪里?文懂论文查重一站式服务,全球8大论文检测系统帮你杜绝防抄袭,提高论文原创水品。

的公司希望能成为洞悉先机的先锋,透过结合行动科技来提升自己并超越竞争者。相信团购领域也不例外,于是本篇论文提出了一结合适地性行动科技与

szwox.com_133
团购概念的行动应用。此应用透过GPS让主购可以即时就近邀请附近的人凑团,相信此应用能达到过往所无法想像的新型态团购模式,为社会大众带来价值。
本研究主要目的是以开团者的角度去探讨此应用的使用意图。找出哪些因子会影响使用意图,和因子之间的相互关係。除此之外,本研究更点出了享乐性价值在此应用的重要性,也证实了知觉价值和成功期望间的关係,最后还发现了隐私风险、知觉价值、使用意图间的关係。期望本研究能成为行动团购服务研究的先锋之一,并提供一有系统的概念给相关的业界和学术研究作为基础。
【英文摘要】:Group buying has been very popular all over the world. It is a very mature business model. At the same moment, location-based feature of mobile technology has also been very mature, too. Therefore, many and many companies and industries try to grab this opportunity to achieve better performance and surpass competitor. So this paper raise a new m-application

文懂论文网,论文查重最佳选择,立即论文查重,马上防止抄袭,提高论文品质

of group buying which enables initiators of group buying to facilitate GPS and instantly invite and gather other people who are around to participate the group buying. We believe this location-based mobile group buying application can enable people to conduct new type of group buying which was not feasible and bring many values to society.
This paper aims to discover the antecedents of initiator’s usage intention and association between these antecedents. Furthermore, we point out the importance of hedonic value to this m-application, we also prove the association between perceived value and expectation of success, we even find out the relation between privacy risk and perceived value and usage intention. We wish this research can be the pioneer to research into the mobile group buying and contribute values to related academic and industry.
【参考文献】:

  • Reference
  • Anand, K. S., & Aron, R. (2003). Group buying on the web: A comparison of price-discovery mechanisms. Management Science, 49(11), 1546-1562.
  • Andaleeb, S. S., & Basu, A. K. (1995). Technical complexity and consumer knowledge as moderators of service quality evaluation in the automobile service industry. Journal of Retailing, 70(4), 367-381.
  • Atkinson, J. W. (1957). Motivational determinants of risk-taking behavior. Psychological review, 64(6p1), 359.
  • Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of m-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348-361.
  • Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ.
  • Barkhuus, L., & Dey, A. K. (2003). Location-Based Services for Mobile Telephony: a Study of Users” Privacy Concerns. Paper presented at the INTERACT.
  • Bauer, H. H., Barnes, S. J., Reichardt, T., & Neumann, M. M. (2005). Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study. Journal of electronic commerce research, 6(3), 181-192.
  • Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. The Journal of Marketing, 1-17.
  • Bouwman, H., Wijngaert, L. v. d., & de Vos, H. (2008). Context-sensitive mobile services for police officers: a re-assessment of TAM. Paper presented at the Mobile Business, 2008. ICMB”08. 7th International Conference on.
  • Brimicombe, A. (2002). GIS-Where are the frontiers now. Paper presented at the Proceedings GIS 2002.
  • BussinessNext. (2013). GOMAJI three years,looking forward 60 billion, 2014 Retrieved Oct 14, 2013, from http://www.bnext.com.tw/article/view/id/29633
  • Cameron, D. (2009). Online group buying – A great way to save money Retrieved Mar 26, 2009, from http://www.taipeitimes.com/News/lang/archives/2009/03/26/2003439407.
  • Chang, T.-Z., & Wildt, A. R. (1994). Price, product information, and purchase intention: An empirical study. Journal of the Academy of Marketing Science, 22(1), 16-27.
  • Chen, J., Chen, X., Kauffman, R. J., & Song, X. (2009). Should we collude? Analyzing the benefits of bidder cooperation in online group-buying auctions. Electronic Commerce Research and Applications, 8(4), 191-202.
  • Chen, W.-Y., & Wu, P.-H. (2010). Factors affecting consumers” motivation in online group buyers. Paper presented at the Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on.
  • Clarke, I. (2001). Emerging value propositions for m-commerce. Journal of Business Strategies, 18(2), 133-148.
  • Coursaris, C., & Hassanein, K. (2002). Understanding m-commerce: a consumer-centric model. Quarterly journal of electronic commerce, 3, 247-272.
  • Covington, M. V. (1984). The motive for self-worth. Research on motivation in education, 1, 77-113.
  • Darboe, K. (2003). An empirical study of the social correlates of job satisfaction among plant science graduates of a midwestern university: a test of Victor H. Vroom”s (1964) expectancy theory: Univ Pr of Amer.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
  • Deci, E. L. (1971). Effects of externally mediated rewards on intrinsic motivation. Journal of personality and Social Psychology, 18(1), 105.
  • Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers” product evaluations. Journal of marketing research, 307-319.
  • Eccles, J. S. (1983). Expectancies values and academic behaviors. Achievement and achievement motives, 75-146.
  • Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents” achievement task values and expectancy-related beliefs. Pers Soc Psychol Bull, 215-225.
  • eMarketer. (2013). 2013, B2C e-commerce transcation volume will be 1.2 trillion USD Retrieved Jul 1, 2013, from http://www.bnext.com.tw/focus/view/cid/103/id/28407
  • Engel, J. F., Kollat, D. T., & Blackwell, R. D. (1969). Personality measures and market segmentation: Evidence favors interaction view. Business Horizons, 12(3), 61-70.
  • Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
  • FIND. (2013). 2013 IDEAS Week:FIND DAY–Creative School: Are you ready for mobile generation. FIND:Half of people with mobile device. Retrieved Jul 16, 2013, from http://www.iii.org.tw/Service/3_1_1_c.aspx?id=1163&AspxAutoDetectCookieSupport=1
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39-50.
  • Fredricks, J. A., & Eccles, J. S. (2002). Children”s competence and value beliefs from childhood through adolescence: growth trajectories in two male-sex-typed domains. Developmental psychology, 38(4), 519.
  • Gallarza, M. G., & Gil Saura, I. (2006). Value dimensions, perceived value, satisfaction and loyalty: an investigation of university students’ travel behaviour. Tourism management, 27(3), 437-452.
  • Gao, S., Krogstie, J., & Gransæther, P. A. (2008). Mobile services acceptance model. Paper presented at the Convergence and Hybrid Information Technology, 2008. ICHIT”08. International Conference on.
  • Grewal, D., Baker, J., Levy, M., & Voss, G. B. (2003). The effects of wait expectations and store atmosphere evaluations on patronage intentions in service-intensive retail stores. Journal of Retailing, 79(4), 259-268.
  • Grewal, D., Krishnan, R., Baker, J., & Borin, N. (1998). The effect of store name, brand name and price discounts on consumers” evaluations and purchase intentions. Journal of Retailing, 74(3), 331-352.
  • Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers” perceptions of acquisition value, transaction value, and behavioral intentions. The Journal of Marketing, 46-59.
  • Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis Sixth Edition Pearson Education. New Jersey.
  • Hightower Jr, R., Brady, M. K., & Baker, T. L. (2002). Investigating the role of the physical environment in hedonic service consumption: an exploratory study of sporting events. Journal of Business Research, 55(9), 697-707.
  • Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
  • insideMobileApps. (2013). US mobile commerce to become $235 million market in 2013, slow to adopt mobile consumer payments Retrieved Jul 5, 2013, from http://www.insidemobileapps.com/2013/07/05/us-mobile-commerce-to-become-235-million-market-in-2013-slow-to-adopt-mobile-consumer-payments/
  • Junglas, I. A., & Watson, R. T. (2008). Location-based services. Communications of the ACM, 51(3), 65-69.
  • Kakihara, M., & Sørensen, C. (2001). Expanding the”mobility”concept. ACM SIGGroup bulletin, 22(3), 33-37.
  • Kashyap, R., & Bojanic, D. C. (2000). A structural analysis of value, quality, and price perceptions of business and leisure travelers. Journal of Travel Research, 39(1), 45-51.
  • Kauffman, Lai, & Ho. (2010). Incentive mechanisms, fairness and participation in online group-buying auctions. Electronic Commerce Research and Applications, 9(3), 249-262.
  • Kauffman, R. J., & Wang, B. (2001). New buyers” arrival under dynamic pricing market microstructure: The case of group-buying discounts on the Internet. Journal of Management Information Systems, 18(2), 157-188.
  • Kauffman, R. J., & Wang, B. (2002). Bid together, buy together: On the efficacy of group-buying business models in Internet-based selling (pp. 99-137): CRC Press.
  • Keen, P. G., Mackintosh, R., & Foreword By-Heikkonen, M. (2001). The freedom economy: Gaining the mcommerce edge in the era of the wireless Internet: McGraw-Hill Professional.
  • Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
  • Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111-126.
  • Kleinrock, L. (1996). Nomadicity: anytime, anywhere in a disconnected world. Mobile networks and applications, 1(4), 351-357.
  • Kline, R. (2005). Principles and Practice of Structural Equation Modeling, 2nd edn, New York: Guilford Press.
  • Kohli, R., & Park, H. (1989). A cooperative game theory model of quantity discounts. Management Science, 35(6), 693-707.
  • Lai, H., & Zhuang, L.-T. (2002). Collective bargaining models on e-marketplace. Paper presented at the SSGRR 2002S, International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, e-Medicine on the Internet, L”Aquila, Italy.
  • Lavidge, R. J. (1966). The cotton candy concept: Intra-individual variability. Attitude Research at Sea, Chicago: American Marketing Association, 39-50.
  • Lee, M. Y., Kim, Y. K., & Fairhurst, A. (2009). Shopping value in online auctions: Their antecedents and outcomes. Journal of Retailing and Consumer Services, 16(1), 75-82.
  • Lin, T.-C., Wu, S., Hsu, J. S.-C., & Chou, Y.-C. (2012). The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1), 63-75.
  • Liu, Y., & Li, H. (2010). Mobile internet diffusion in China: an empirical study. Industrial Management & Data Systems, 110(3), 309-324.
  • Lyytinen, K., & Yoo, Y. (2001). The next wave of nomadic computing: a research agenda for information systems research.
  • Mahatanankoon, P., Wen, H. J., & Lim, B. (2005). Consumer-based m-commerce: exploring consumer perception of mobile applications. Computer standards & interfaces, 27(4), 347-357.
  • McCollough, M. A., Berry, L. L., & Yadav, M. S. (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of service Research, 3(2), 121-137.
  • Merisavo, M., Kajalo, S., Karjaluoto, H., Virtanen, V., Salmenkivi, S., Raulas, M., & Leppäniemi, M. (2007). An empirical study of the drivers of consumer acceptance of mobile advertising. Journal of Interactive Advertising, 7(2), 41-50.
  • MIC. (2013). Intelligent Creative Service. Retrieved Apr 30, 2013, from http://www.iii.org.tw/Upload/file/2013 FY102/PDF/08_智慧社区创新服务(ARI)_0428.pdf
  • Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Science & Technology, 13(3), 257-264.
  • 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, 18(1), 51-65.
  • NCC. (2013). 2013 first season. Penetration rate of mobile in Taiwan. Retrieved Nov 19, 2013, from http://www.find.org.tw/find/home.aspx?page=many&id=361
  • Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346.
  • Oh, H. (2003). Price fairness and its asymmetric effects on overall price, quality, and value judgments: the case of an upscale hotel. Tourism management, 24(4), 387-399.
  • Okazaki, S., & Mendez, F. (2012). Exploring convenience in mobile commerce: Moderating effects of gender. Computers in Human Behavior.
  • Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality, 15(6), 509-538.
  • Rouse, M. (2009). location-based service (LBS) Retrieved May, 2009, from http://searchnetworking.techtarget.com/definition/location-based-service-LBS
  • Sanchez, J., Callarisa, L., Rodriguez, R. M., & Moliner, M. A. (2006). Perceived value of the purchase of a tourism product. Tourism management, 27(3), 394-409.
  • Scherer, F. M. (1982). Demand-pull and technological invention: Schmookler revisted. The Journal of Industrial Economics, 30(3), 225-237.
  • Shin, D. H. (2009). An empirical investigation of a modified technology acceptance model of IPTV. Behaviour & Information Technology, 28(4), 361-372.
  • Steiniger, S., Neun, M., & Edwardes, A. (2006). Foundations of location based services. Lecture Notes on LBS, 1.
  • Stone, R. N., & Grønhaug, K. (1993). Perceived risk: further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
  • Tan, W.-K., & Tan, Y.-J. (2010). Online or offline group buying? Paper presented at the Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on.
  • Thaler, R. (1985). Mental accounting and consumer choice. Marketing science, 4(3), 199-214.
  • Tsai, M.-T., Cheng, N.-C., & Chen, K.-S. (2011). Understanding online group buying intention: the roles of sense of virtual community and technology acceptance factors. Total Quality Management & Business Excellence, 22(10), 1091-1104.
  • Umit Kucuk, S., & Krishnamurthy, S. (2007). An analysis of consumer power on the Internet. Technovation, 27(1), 47-56.
  • Virrantaus, K., Markkula, J., Garmash, A., Terziyan, V., Veijalainen, J., Katanosov, A., & Tirri, H. (2001). Developing GIS-supported location-based services. Paper presented at the Web Information Systems Engineering, 2001. Proceedings of the Second International Conference on.
  • Weiner, B., Frieze, I., Kukla, A., Reed, L., Rest, S., & Rosenbaum, R. M. (1987). Perceiving the causes of success and failure. Paper presented at the Preparation of this paper grew out of a workshop on attribution theory held at University of California, Los Angeles, Aug 1969.
  • Wigfield, A., & Eccles, J. S. (2002). The development of competence beliefs, expectancies for success, and achievement values from childhood through adolescence. Development of achievement motivation, 91-120.
  • Wigfield, A., Eccles, J. S., Roeser, R., & Schiefele, U. (2008). Child and adolescent development: An advanced course Development of achievement motivation
  • 406-434.
  • Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
  • Wu, L.-W. (2011). Beyond satisfaction: The relative importance of locational convenience, interpersonal relationships, and commitment across service types. Managing Service Quality, 21(3), 240-263.
  • Xu, H., Teo, H.-H., & Tan, B. C. (2005 ). Predicting the Adoption of Location-Based Services: The Role of Trust and Perceived Privacy Risk. Paper presented at the 26th ICIS, Las Vegas.
  • Xu, Z., Zhang, C., & Ling, H. (2008). A contextual acceptance model of mobile commerce based on TAM. Paper presented at the Computing in the Global Information Technology, 2008. ICCGI”08. The Third International Multi-Conference on.
  • Yamamoto, J., & Sycara, K. (2001). A stable and efficient buyer coalition formation scheme for e-marketplaces. Paper presented at the Proceedings of the fifth international conference on Autonomous agents.
  • Yang, s. (2013). Taiwan GROUPON will be back!! Retrieved Jul 13, 2013, from http://www.bnext.com.tw/article/view/id/28579
  • Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102-112.
  • Yuan, K.-H. (2005). Fit indices versus test statistics. Multivariate Behavioral Research, 40(1), 115-148.
  • Yuan, W., Shu, Y., Yi-feng, X., Tong, Z., & Wei, G. (2009). The impact of perceived emergency and essentiality on perceived privacy risk, privacy concern and intention to use in mobile LBS environment: An example of China Mobile and Unicom. Paper presented at the Mobile Business, 2009. ICMB 2009. Eighth International Conference on.
  • Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of Marketing, 2-22.
  • Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of electronic commerce research, 8(1), 41-62.
  • Zhou, T. (2011). The impact of privacy concern on user adoption of location-based services. Industrial Management & Data Systems, 111(2), 212-226.
  • 来源:中山大学;作者:陈彦尹
    文懂论文-重复率修改第一品牌,http://www.szwox.com解决论文查重论文降重复,重复率高等各种论文难题的专家

    最新文章

    • 什么是学术不端行为
      什么是学术不端行为
      什么是学术不端行为 1992 年,由美国国家科学院、国家工程院和国家医学研究院组成的 22 位...
    • 论文降重复服务 1. 本网站及服务 szwox.com提供哪些服务? szwox.com是一个...

    联络我们

    QQ: 767326772
    文懂论文
    网站:http://www.szwox.com/
    E-mail: turuinit@foxmail.com

    我们的服务

    我们提供毕业论文、期刊论文、硕士论文、博士论文、会议论文格式排版,论文查重,重复率修改等服务。强大论文查重系统,一手老师资源,首创安全保密查重修改流程。充分保障客户论文查重安全以及修改后的品质,赢得了老师和同学们的信任和口碑。