中文文獻
1. 朱家賢（2000），促銷性廣告、產品品牌聯想形象、消費者屬性對廣告效果影響之研究，東吳大學企業管理研究所碩士論文。2. 朱臻真（2009），網路促銷方式對消費者知覺促銷利益影響之研究–以網路金融服務為例，世新大學企業管理學系碩士學位論文。3. 吳德君（2006），促銷方式、促銷情境對購買意願的影響─購物方式與產品涉入為干擾變數，大同大學事業經營研究所碩士論文。4. 李惠敏（2009），行動商務屬性對品牌權益及購買意願之影響，成功大學資訊管理研究所碩士論文。5. 李麗琪（2007），便利商店消費滿額贈品之促銷效果研究，台南科技大學商學與管理研究所碩士論文。6. 周欣穎（2004），贈品促銷型式對消費者知覺價值及購買意願影響之研究，交通大學經營管理研究所碩士論文。7. 周湘雯（2001），網路使用者對線上促銷活動態度之研究，中山大學傳播管理研究所碩士論文。8. 林怡君（2002），贈品-主產品利益一致性與品牌權益對促銷效果影響之研究，臺灣大學商學研究所碩士論文
9. 林俐君（2007），影響消費者採用多功能行動付款之因素，中央大學企業管理學系學位論文。
10. 胡政源（2002），〈品牌關係與品牌權益〉，台北，新文京開發。
11. 徐芳盈（2003），消費者對免費與自償贈品促銷組合之選擇意願與影響因素之研究，中央大學企業管研究所。
12. 張愛華與蕭丞傑（2010），行動服務之再使用意願：一項整合模式之檢驗，輔仁管評，第17卷第2期，頁69-94。
13. 梁世安與余國瑋（2005），以科技接受模式探討二輪式電動代步車消費者接受程度，行銷評論，第2卷第2期，頁135-148。
14. 許士軍（1987），新加坡消費者對不同來源地產品之知覺及態度，管理評論，頁1-18。15. 許晉龍與金業珍（2006），行動通訊服務之顧客接受度影響因素研究，電子商務研究，第4卷第2期，頁235-257。
16. 郭英峰與游景文（2007），消費者採用行動加值服務行為意向之研究―以年輕族群為例，資訊管理學報，第14卷第3期，頁125 -153。
17. 黃家蔚（2004），促銷方式、產品涉入程度與促銷情境對消費者品牌評價與購買意願之影響，成功大學企業管理研究所碩士論文。18. 黃羚瑋（2011），商務人士對行動投資服務需求之探討，世新大學企業管理學系碩士學位論文。19. 黃麗霞（2002），贈品促銷型式對消費者的知覺價值與購買意願之影響，台灣大學商學研究所博士論文。
20. 黃麗霞與張重昭（2004），贈品促銷之價格呈現方式對促銷效果之影響，管理思維與實務學術研討會，銘傳大學。
21. 盧泰宏與朱翊敏（2003），〈實效促銷SP〉，清華大學出版社。
22. 蕭柏威（2010），購物中心來店禮滿意度之縱貫面研究－以夢時代購物中心為例，屏東商業技術學院企業經營研究所碩士論文。23. 蘇裕仁（2009），消費者採用行動購物網站之研究，臺灣科技大學資管所。
24. 周季庭（2011/12/29），不論食衣住行你今天App了嗎？，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=111229010139
25. 易利信消費者行為研究http://www.ericsson.com/thinkingahead/consumerlab
26. 胡婷婷（2011/10/3），APP未來趨勢－創新產業大剖析，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=111003005719
27. 胡婷婷（2011/11/28），APP讓生活更便利小秘書如影隨形，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=111127210543
28. 范雅琪（2011/10/3），APP未來趨勢－創新應用大剖析，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=111002235204
29. 陳珮嘉（2011/11/24），在APP市場發現新台幣，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=111124120606
30. 資策會（2011/5/11），2011年台灣行動應用軟體市場發展最新概況。http://www.iii.org.tw/Default.aspx
31. 鄭薇珊（2011/3/21），APP正夯衣飾品牌拼經濟，電子商務時報http://www.ectimes.org.tw/Shownews.aspx?id=110320200923
英文文獻
1. Ahn, T., Ryu, S., & Han, I. (2007). The Impact of Web Quality and Playfulness on User Acceptance of Online Retailing. Information and Management, 44(3), pp.263-275.
2. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Action-Control: From Cognition to Behavior, Kuhl, J. & Beckmann, J. Eds. Heidelberg: Springer-Verlag, pp.11-39.
3. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), pp.179-211.
4. AlHinai, Y.S. Kurnia, S., & Johnston, R.B. (2007). Adoption of Mobile Commerce Services by Individuals: A Meta-Analysis of the Literature of the Literature. International Conference on Mobile Business, Toronto, Canada.
5. Atkinson, M.A., & Kydd, C. (1997). Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation. The DATA BASE for Advances in Information Systems, 28(2), pp.53-62.
6. Blackston, M. (1992). Observations: Building Brand Equity by Managing the Brand’s relationships. Journal of Advertising Research, 32, pp.79-83.
7. Blattberg, R.C., & Neslin, S.A. (1990). Sales Promotion: Concepts, Methods, and Strategies. New Jersey: Prentice-Hall.
8. Bruner, G.C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58(5), pp.553-558.
9. Chandon, P., Wansink, B., & Laurent, G. (2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), pp.65-81.
10. Chin, W.W. (1998). The partial least squares approach for structural equation modeling. In George A. Marcoulides (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, pp.295-336.
11. Compeau, D., Higgins, C.A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23, pp.145-158.
12. d’Astous, A., & Jacob, I. (2002). Understanding consumer reactions to premium-based promotional offers. European Journal of Marketing, 36(11), pp.1270-1286.
13. d’Astous, A., & Landreville, V. (2003). An experimental investigation of factors affecting consumers’ perceptions of sales promotions. European Journal of Marketing, 37(11), pp.1746-1761.
14. Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information system: Theory and results. Ph.D. Dissertation, MIT Sloan School of Management, Cambridge, M.A.
15. Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technologies. MIS Quarterly, 13(3), pp.319-340.
16. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), pp.1111-1132.
17. Davis, R.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical model. Management Science, 35(8), pp.982-1003.
18. Dodds, W.B., Monroe, K.B., & Grewal, D. (1991). Effects of Price, Brand & Store Information on Buyers’ Product Evaluation. Journal of Marketing Research, 28(3), pp.307-319.
19. Duncan, T., & Moriarty, S.E. (1998). A Communication-Based Marketing Model for Managing Relationships. Journal of Marketing, 62(2), pp.1-13.
20. Fishbein, M., & Ajzen, I. (1975). Believe, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company.
21. Fornell & Larcker. (1981). Structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(2), pp.39-50.
22. Friedman, H., & Herskovitz, P. (1990). The effect of a gift-upon-entry on sales: Reciprocity in a retailing context. Mid-American Journal of Business, 5, pp.49-50.
23. Gaeth, G.J., Levin, I.P., Chakraborty, G., & Levin, A.M. (1990). Consumer Evaluation of Multi-Product Bundles: An Information Integration Analysis. Marketing Letters, 2(1), pp.47-57.
24. 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. Journal of Marketing, 62(2), pp. 46-59.
25. Guiltinan, J.P. (1987). The Price Bundling of Services: A Normative Framework Journal of Marketing, 51(2), pp.74-85.
26. Harlam, B.A., Krishna, D.R. Lehmann, & Mela, C. (1995). Impact of Bundle Type, Price Framing and Familiarity on Purchase Intention for the Bundle. Journal of Business Research, 33, pp.57-66.
27. Hiam, A. (2000). Match premiums to marketing strategies. Marketing News, 34, pp.12.
28. Homans, G.C. (1961). Social behavior: Its elementary forms. New York: Harcourt, Brace World.
29. Huang, L.I., Chou, Y.J., & Su, H.C. (2012). The fit of regulatory focus and promotion types. Business and Information, pp.647-658.
30. Hung, S.Y., Ku, C.Y., & Chang, C.M. (2003). Critical Factors of the Adoption of WAP Services: An Empirical Study. Electronic Commerce Research and Applications, pp.42-60.
31. Igbaria, M., Schiffman, S.J., & Wieckowski, T.J. (1994). The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behaviour & Information Technology, 13, pp.349-361.
32. Jones, J.M. (2008). An exploratory study on attitude persistence using sales promotion. Journal of Managerial Issues, 20(3), pp401-416.
33. Kaiser, H.F. (1974). An Index of Factorial Simplicity. Psychometrika, 39(1), pp.31-36.
34. Keller, K.L. (1993). Conceptualizing, Measuring, and Managing Customer-Based Brand Equity. Journal of Marketing, 57(January), pp.1-22.
35. Keller, K.L. (2001). Building customer-based brand equity. Marketing Management, 10(2), pp.14-19.
36. Keller, K.L., & Lehmann, D.R. (2006). Brands and Branding: Research Findings and Future Priorities. Marketing Science, 25(6), pp.740-759.
37. 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), pp.310-322.
38. Kline, R.B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.
39. Kotler, P., & Turner, R.E. (1998). Marketing Management 9th ed., Prentice Hall Canada, Scarborough.
40. 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, pp. 103-110.
41. Lee-Wingate, S.N., & Corfman, K. (2010). A Little Something for Me and Maybe for You, Too: Promotions that Relieve Guilt. Marketing Letters, 21(4), PP. 385-395.
42. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40, pp.191-204.
43. Liao, C.H., Tsou, C.W., & Huang, M.F. (2007). Factors influencing the usage of 3G mobile services in Taiwan. Online Information Review, 31(6), pp.759-774.
44. Luarn, P., & Lin, H.H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), pp.873-891.
45. Mattila, A.S., & Enz, C.A. (2002). The role of emotions in service encounters. Journal of Service Research, 4(4), pp.268-277.
46. Mela, C.F., Gupta, S., & Lehmann, D. R. (1997). The long-term impact of promotions and advertising on brand choice. Journal of Marketing Research, 34(2), pp.248-261.
47. Monroe, K.B., & Krishnan, R. (1985). The Effect of Price on Subjective Product Evaluation in Perceived Quality: How Consumers View Stores and Merchandise, Jacoby, J. & Olson, J.C. (Eds), Lexington, MA: Lexington Books, pp.209-232.
48. Moon, J.W., & Kim, Y.G. (2001). Extending the TAM for World-Wide-Web Context. Information and Management, 38, pp.217-230.
49. Ngai, E.W.T. & Gunasekaran, A. (2005). Build-to-order supply chain management: a literature review and framework for development. Journal of Operations Management, 23(5), pp.423-451.
50. Nunnally, J. C. (1978). Psychometric Theory In. NY: McGraw-Hill.
51. Olson, J.R., & Boyer, K.K. (2003). Factors influencing the utilization of internet purchasing in small organizations. Journal of Operations Management, 21(2), pp.225-245.
52. Pavlou, P.A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), pp. 115-143.
53. Pijpers, G.G.M., Bemelmans, T.M.A., Heemstra, F.J., & van Montfort, K.A.G.M.( 2001). Senior executives use of information technology. Information and Software Technology, 43, pp.959-971.
54. Podsakoff, P. M., & Organ, D.W. (1986). Self-Reports in Organizational Research: Problems and Prospects. Journal of Management, 12(4), pp.531-544.
55. Prus, A., & Brandt D.R. (1995). Understanding Your Customers. Marketing Tools, 2(1), pp.10-14.
56. Quelch, J. A. (1989). Sales Promotion Management. New Jersey, Prentice-Hall, Inc.
57. Rossiter, J.R., & Percy, L. (1997). Advertising, Communication and Promotion Management 2nd ed., McGraw-Hill, New York, NY.
58. Roy, D.P., & Cornwell, T.B. (2003). Brand Equity’s Influence on Responses to Event sponsorships. The Journal of Product and Brand Management, 12(6), pp.377-393.
59. Sega, V. L., Zmud, R.W. (1994). The nature and determinants of IT acceptance Routinization and infusion, IFIP Transaction A: Computer Science and Technology, pp.67-86.
60. Seipel, C. (1971). Premiums Forgotten by Theory. Journal of Marketing, April, pp.26-34.
61. Siby, Z., & James, M. (2011). The effect of sales promotion on consumer based brand equity. School of Management Studies, Cochin University of Science and Technology.
62. Simonson, G.D., Vincent, A.C., Roberg, K.J., Huang, Y., & Iwanij, V. (1994). Molecular cloning and characterization of a novel liver-specific transport protein. J Cell Sci, pp.1065-1072.
63. Strang, R.A. (1976). Sales promotion: Fast growth, faulty management. Harvard Business Review, pp.1114-1124.
64. Succi, M.J., & Walter, Z.D. (1999). Theory of user acceptance of information technologies: an examination of health care professionals.Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS’99).
65. Telser. L.G. (1979). A Theory of Monopoly of Complementary Goods. Journal of Business, 52(2), pp.211-230.
66. van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands. Information & Management, 40, pp.541-549.
67. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), pp.186-204.
68. Wang, R., Pan, T., & Cao,Y. (2011).Users' acceptance behavior for m-commerce based on Customer Perceived Value and TAM. E -Business and E -Government (ICEE), 2011 International Conference on, pp.1-4.
69. Webster, J., & Martocchio, J.J. (1992). Microcomputer playfulness: development of a measure with workplace implications. MIS Quarterly, 16, pp.201-226.
70. Wu, J.H., & Wang, S.C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), pp.719-729.
71. Yang, K.C.C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 22(3), pp.257-277.
72. Zaichkowsky, J. L. (1985). Measuring the Involvement Construct. Journal of Consumer Research, 12(3), pp.341-352.
73. Zaichkowsky, J. L. (1994). The Personal Involvement Theory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), pp.59-70.
74. Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), pp.2-22.
75. Zithaml, V.A., Leonard, L.B., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60(2), pp.32.
76. Edit, S. (2010/1/12). UPDATED: The Apple App Store Economy. Giga OM. Retrieved from http://gigaom.com/2010/01/12/the-apple-app-store-economy/
77. Carter, D. (2012/7/6). New Productivity App 30/30 Tries New Donation ware Model； Can It Work for Other Apps?. 148Apps.biz. Retrieved from http://148apps.biz/new-productivity-app-3030-tries-new-donationware-model-can-it-work-for-other-apps
78. Charles, N.F. (2011/1/20). Mobile Apps Put the Web in Their Rear-view Mirror. [Online flurry blog]. Retrieved from http://blog.flurry.com/bid/63907/Mobile-Apps-Put-the-Web-in-Their-Rear-view-Mirror
79. Egham. (2011/6/17). Gartner Says Worldwide Mobile Application Store Revenue Forecast to Surpass $15 Billion in 2011. Gartner. Retrieved from http://www.gartner.com/it/page.jsp?id=1529214
80. Harris Interactive. (2010/11/10). New Study Finds Mobile Application Users Prefer Usability and Good User Experience over Brand Names Alone. Effective UI. Retrieved from http://www.effectiveui.com/news-events/11-10-2010.php
81. Kent, J. (2011/2/15). Apple Maintains Dominance of Mobile Application Store Market in 2010. [Online press release]. Retrieved from http://www.isuppli.com/Media-Research/News/Pages/Apple-Maintains-Dominance-of-Mobile-Application-Store-Market-in-2010.aspx
82. Millennial Media. (2011). “Tech, Finance Verticals Doubled Down on Mobile Ad Spending in '11,” Millennial Media. Retrieved from http://www.marketingcharts.com/direct/tech-finance-verticals-doubled-down-on-mobile-ad-spending-in-11-21492/millennialmedia-mobile-ad-spending-growth-by-vertical-in-2011-march2012jpg/
83. Sanky. (2011/1/25). Mobile Apps downloads to double in 2011. Gartner. Retrieved from http://www.gadgetsfan.com/mobile-apps-downloads-to-double-in-2011-–-gartner.html
84. Scott, A. (2011/7/23). iPhone Holding Dominance in the Mobile Application Development Sector for the Year 2010. IHS Screen Digest, Retrieved from http://ezinearticles.com/?iPhone-Holding-Dominance-in-the-Mobile-Application-Development-Sector-for-the-Year-2010&id=5980953