High speed rail passengers' mobile ticketing adoption

Transportation Research Part C: Emerging Technologies

Volumn 30, Issue , 2013, Pages 143-160

  Cheng, Yung Hsiang ^a   Huang, Ting Yu ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

High speed rail; Mental accounting theory; Mobile access; Quick response code (QR code); Structural equation modeling

Indexed keywords

DECISION THEORY;

HIGH SPEED RAIL; MENTAL ACCOUNTING; MOBILE ACCESS; QR CODES; STRUCTURAL EQUATION MODELING;

RAILROAD TRANSPORTATION;

HIGH-SPEED TRAIN; MOBILE COMMUNICATION; NUMERICAL MODEL; RAILWAY TRANSPORT; RISK PERCEPTION; TECHNOLOGY ADOPTION;

EID: 84875784755     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2013.02.001     Document Type: Article

References (84)

1. Agarwal R., Prasad J. A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research 1998, 9(2):204-215.
2. Ahn T., Ryu S., Han I. The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications 2004, 3(4):405-420.
3. Ajzen I., Fishbein M. Understanding Attitudes and Predicting Social Behavior 1980, Prentice Hall, Englewood Cliffs, NJ.
4. Aldás-Manzano J., Ruiz-Mafé C., Sanz-Blas S. Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management and Data Systems 2009, 109(6):739-757.
5. Barberis N., Huang M. Mental accounting, loss aversion, and individual stock returns. The Journal of Finance 2001, 56(4):1247-1292.
6. Bhatti T. Exploring factors influencing the adoption of mobile commerce. Journal of Internet Banking and Commerce 2007, 12(3):1-13.
7. Bigné-Alcañiz E., Ruiz-Mafé C., Aldás-Manzano J., Sanz-Blas S. Influence of online shopping information dependency and innovativeness on Internet shopping adoption. Online Information Review 2008, 32(5):648-667.
8. Bowerman B.L., O'Connell R.T., Orris J.B. Essentials of Business Statistics 2004, McGraw Hill/Irwin.
9. Büyüközkan G. Determining the mobile commerce user requirements using an analytic approach. Computer Standards and Interfaces 2009, 31(1):144-152.
10. Campell D.T., Fiske D.W. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin 1959, 56(2):81-105.
11. Chang T.Z., Wildt A.R. Price, product information, and purchase intention: an empirical study. Journal of the Academy of Marketing Science 1994, 22(1):16-27.
12. Chang J.C., Torkzadeh G.Y., Dhillon G. Re-examining the measurement model of success for Internet commerce. Information and Management 2004, 41(5):577-784.
13. Chen Z., Dubinsky A.J. A conceptual model of perceived customer value in e-commerce: a preliminary investigation. Psychology and Marketing 2003, 20(4):323-347.
14. Christophersen T., Konradt U. The development of a formative and a reflective scale for assessment of on-line store usability. Journal of Systemics, Cybernetics and Informatics 2008, 6(5):36-41.
15. Chu H., Liao S. Buying while expecting to sell: the economic psychology of online resale. Journal of Business Research 2010, 63(9-10):1073-1078.
16. Citrin A., Sprott E., Silverman N., Stem E. Adoption of Internet shopping: the role of consumer innovativeness. Industrial Management and Data System 2000, 100(7):294-300.
17. Davis F.D. Perceived usefulness perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989, 13(3):319-340.
18. Davis F.D., Bagozzi R.P., Warshaw P.R. User acceptance of computer technology: a comparison of two theoretical models. Management Science 1989, 35(8):982-1003.
19. Dodds W.B., Monroe K.B., Grewal D. Effects of price, brand and store information on buyers' product evaluations. Journal of Marketing Research 1991, 28(3):307-319.
20. Dowling G.R., Staelin R. A model of perceived risk and intended risk-handling activity. Journal of Consumer Research 1994, 21(June):119-134.
21. Featherman M.Sa., Pavlou P. Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies 2003, 59(4):451-474.
22. Featherman M.S., Miyazaki A.D., Sprott D.E. Reducing online privacy risk to facilitate e-service adoption: the influence of perceived ease of use and corporate credibility. Journal of Services Marketing 2010, 24(3):219-229.
23. Fornell C., Larcker D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981, 18(1):39-50.
24. Franke N., Shah S. How communities support innovative activities: an exploration of assistance and sharing among end-users. Research Policy 2003, 32(1):157-178.
25. Gao, S., Moe, S.P., Krogstie, J., 2010. An empirical test of the mobile services acceptance model. In: Ninth International Conference on Mobile Business/Ninth Global Mobility Roundtable.
26. Gefen D., Karahanna E., Straub D.W. Trust and TAM in online shopping: an integrated model. MIS Quarterly 2003, 27(1):51-90.
27. Goldsmith R.E. Identifying wine innovators: a test of the domain-specific innovativeness scale using known groups. International Journal of Wine Marketing 2000, 12(2):37-46.
28. Gefen D., Straub D.W. Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. Omega 2004, 32(6):407-424.
29. Gu, Y., Zhang, W., 2011. QR code recognition based on image processing. In: International Conference on Information Science and Technology, Nanjing, Jiangsu, China.
30. Gupta S., Kim H.W. Value-driven Internet shopping: the mental accounting theory perspective. Psychology and Marketing 2010, 27(1):13-35.
31. Ha S., Stoel L. Consumer e-shopping acceptance: antecedents in a technology acceptance model. Journal of Business Research 2009, 62(5):565-571.
32. Hair J.F., Black B., Babin B., Anderson R.E., Tatham R.L. Multivariate Data Analysis 2006, Pearson, New Jersey. sixth ed.
33. Hung S.Y., Ku C.Y., Chang C.M. Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications 2003, 2(1):46-60.
34. Jarvenpaa S.L., Tractinsky N., Vitale M. Consumer trust in an Internet store. Information Technology and Management 2000, 1(12):45-71.
35. Keeney R.L. Creativity in decision making with value-focused thinking. Sloan Management Review 1994, (Summer):33-41.
36. Keeney R.L. The value of Internet commerce to the customer. Management Science 1999, 45(4):533-542.
37. Khalifa M., Shen K.N. Explaining the adoption of transactional B2C mobile commerce. Journal of Enterprise Information Management 2008, 21(2):110-124.
38. Kieseberg, P., Leithner, M., Mulazzani, M., Munroe, L., Schrittwieser, S., Sinha, M., Weippl, E., 2010. QR code security. In: Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia, Paris, France.
39. Kim C., Mirusmonov M., Lee I. An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior 2010, 26(3):310-322.
40. Kim D.J., Ferrin D.L., Rao H.R. A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems 2008, 44(2):544-564.
41. Kim H.W., Chan H.C., Gupta S. Value-based adoption of mobile Internet: an empirical investigation. Decision Support Systems 2007, 43(1):111-126.
42. Kim H.W., Gupta S. A comparison of purchase decision calculus between potential and repeat customers of an online store. Decision Support System 2009, 47(4):477-487.
43. Koufteros X.A. Testing a model of pull production: a paradigm for manufacturing research using structural equation modeling. Journal of Operations Management 1999, 17(4):467-488.
44. Koufteros X.A., Vonderembse M.A., Doll W.J. Concurrent engineering and its consequences. Journal of Operations Management 2001, 19(1):97-115.
45. Kuo Y.F., Yen S.N. Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior 2009, 25(1):103-110.
46. Laukkanen T., Lauronen J. Consumer value creation in mobile banking services. International Journal of Mobile Communications 2005, 3(4):325-338.
47. Lee C.C., Cheng H.K., Cheng H.H. An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences. Decision Support Systems 2007, 43(1):95-110.
48. Liao C.H., Tsou C.W., Huang M.F. Factors influencing the usage of 3G mobile services in Taiwan. Online Information Review 2007, 31(6):759-774.
49. Liljander V., Gillberg F., Gummerus J., Van Riel A. Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services 2006, 13(3):177-191.
50. Limayern M., Khalifa M., Frini A. What makes consumers shop via Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 2000, 30(4):421-432.
51. Liu X., Wei K.K. An empirical study of product differences in consumers' e-commerce adoption behavior. Electronic Commerce Research and Applications 2003, 2(5):229-239.
52. Lu C.S., Lai K.H., Cheng T.C.E. Application of structural equation modeling to evaluate the adoption of Internet services in liner shipping. European Journal of Operational Research 2007, 180(2):845-867.
53. Lu Y., Cao Y., Wang B., Yang S. A study on factors that affect users' behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior 2011, 27(1):355-364.
54. Luo X., Li H., Zhang J., Shim J.P. Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decision Support Systems 2010, 49(2):222-234.
55. Lüthje C. Characteristics of innovating users in a consumer goods field: an empirical study of sport-related product consumers. Technovation 2004, 24(9):683-695.
56. Mahatanankoon P., Wen H.J., Lim B. Consumer-based m-commerce: exploring consumer perception of mobile applications. Computer Standards and Interfaces 2005, 27(4):347-357.
57. Mallat N., Rossi M., Tuunainen V.K., Öörni A. An empirical investigation of mobile ticketing service adoption in public transportation. Personal and Ubiquitous Computing 2008, 12(1):57-65.
58. Mallat N., Rossi M., Tuunainen V.K., Öörni A. The impact of use context on mobile services acceptance: the case of mobile ticketing. Information and Management 2009, 46(3):190-195.
59. Mitchell V.-W., Greatorex M. Risk perception and reduction in the purchase of consumer services. The Services Industries Journal 1993, 13(4):179-200.
60. Milkman K.L., Beshears J. Mental accounting and small windfalls: evidence from an online grocer. Journal of Economic Behavior and Organization 2009, 71(2):384-394.
61. Miyazaki A.D., Fernandez A. Consumer perceptions of privacy and security risks for online shopping. The Journal of Consumer Affairs 2001, 35(1):27-44.
62. Moon J.W., Kim Y.G. Extending the TAM for a world-wide-web context. Information and Management 2001, 38(4):217-230.
63. Ngai E.W.T., Gunasekaran A. A review for mobile commerce research and applications. Decision Support Systems 2007, 43(1):3-15.
64. Pavlou P.A. Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce 2003, 7(3):101-134.
65. Rogers E.M. Diffusion of Innovations 1995, Free Press, New York. fourth ed.
66. Ruiz-Mafé C., Sanz-Blas S., Aldás-Manzano J. Drivers and barriers to online airline ticket purchasing. Journal of Air Transport Management 2009, 15(6):294-298.
67. Schierz P.G., Schilke O., Wirtz B.W. Understanding consumer acceptance of mobile payment services: an empirical analysis. Electronic Commerce Research and Applications 2010, 9(3):209-216.
68. Schoenbachler D.D., Gorden G.L. Multi-channel shopping: understanding what drives channel choice. Journal of Consumer Marketing 2002, 19(1):42-53.
69. Shafir E., Simonson I., Tversky A. Reason-based choice. Cognition 1993, 49(1-2):11-36.
70. Shih H.P. An empirical study on predicting user acceptance of e-shopping on the Web. Information and Management 2004, 41(3):351-368.
71. Tait A.R., Voepel-Lewis T., Malviya S. Participation of children in clinical research: factors that influence a parent's decision to consent. Anesthesiology 2003, 99(4):819-825.
72. Taiwan High Speed Rail, 2010. <> (visited 20.09.10). http://www.thsrc.com.tw/tc/index.asp.
73. Thaler R. Mental accounting and consumer choice. Marketing Science 1985, 4(3):199-214.
74. Thaler R.H. Mental accounting matters. Journal of Behavioral Decision Making 1999, 12(3):183-206.
75. Torkzadeh G.Y., Dhillon G. Measuring factors that influence the success of Internet commerce. Information Systems Research 2002, 13(2):187-204.
76. Van der Heijden H., Verhagen T., Creemers M. Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems 2003, 12(1):41-48.
77. Wu C.S., Cheng F.F., Yen D.C., Huang Y.W. User acceptance of wireless technology in organizations: a comparison of alternative models. Computer Standards and Interfaces 2011, 33(1):50-58.
78. Wu J.H., Wang S.C. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management 2005, 42(5):719-729.
79. Wu J.H., Wang Y.M. Measuring KMS success: a respecification of the DeLone and McLean's model. Information and Management 2006, 43(6):728-739.
80. Xia Y., Zhang G.P. The impact of the online channel on retailers' performances: an empirical evaluation. Decision Science 2010, 41(3):517-546.
81. Yang K.C.C. Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics 2005, 22(3):257-277.
82. Yu J., Ha I., Choi M., Rho J. Extending the TAM for a t-commerce. Information and Management 2005, 42(7):965-976.
83. Yu H., Gupta S. The effects of privacy concerns and personal innovativeness on potential and experienced customers' adoption of location-based services. Electron Markets 2009, 19(2-3):137-149.
84. Zeithaml V.A. Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence. Journal of Marketing 1988, 52(3):2-22.