A model of traveller acceptance of mobile technology

International Journal of Tourism Research

Volumn 10, Issue 5, 2008, Pages 393-407

  Kim, Dae Young ^a   Park, Jungkun ^b   Morrison, Alastair M ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Attitudes; Mobile technology; Perceived ease of use; Perceived usefulness; User acceptance

Indexed keywords

CONCEPTUAL FRAMEWORK; FACTOR ANALYSIS; MOBILE COMMUNICATION; MODELING; TOURIST BEHAVIOR;

EID: 59849123572     PISSN: 10992340     EISSN: 15221970     Source Type: Journal    
DOI: 10.1002/jtr.669     Document Type: Article

References (80)

1. Adams DA, Nelson RR, Todd PA. 1992. Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly 16(2): 227-250.
2. Agarwal R, Prasad J. 1997. The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences 28(3): 557-581.
3. Agarwal R, Prasad J. 1998. A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research 9(2): 204-215.
4. Agarwal R, Prasad J. 1999. Are individual differences germane to the acceptance of new information technologies? Decision Sciences 30(2): 361-391.
5. Ajzen I. 1985. From intentions to actions: a theory of planned behavior. In Action Control: From cognition to Behavior, Kuhl J, Beckmann E (eds). Springer-Verlag: Berlin; 11-39.
6. Ajzen I, Fishbein M. 1980. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
7. Alba J, Marmorstein H. 1987. The effects of frequency knowledge on consumer decision making. Journal of Consumer Research 14: 14-25.
8. Bagozzi RP, Yi Y. 1988. On the evaluation of structural equation model. Journal of Academy of Marketing Science 16(Spring): 74-94.
9. Baker W, Hutchinson J, Moore D, Nedungadi P. 1986. Brand familiarity and advertising: Effects on the evoked set and brand preference. In Advances in Consumer Research 13, Lutz R (ed). Association for Consumer Research: Provo; 637-642.
10. Barnes SJ. 2003. The wireless application protocol: Strategic implications for wireless Internet services. In Mennecke BE, Strader TJ (eds). Mobile commerce: Technology, Theory, and Applications. Idea Group Publishing: Hershey; 145-161.
11. Bettman JR. 1979. Information Processing Theory of Consumer Choice. Addison-Wesley: Boston.
12. Brancheau JC, Wetherbe J. 1990. The adoption of spreadsheet software: testing system innovation diffusion theory in the context of end-user computing. Information Research 1(2): 115-143.
13. Chi M, Glaser R, Farr M. 1988. The Nature of The Experience. Erlbaum Associates: Hillsdale.
14. Computer Industry Almanac. 2005. Population explosion! Available at http://www.clickz.com/stats/sectors/geographics/article.php/151151 (accessed 27 September 2007).
15. Davis FD. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3): 319-340.
16. Davis FD, Venkatesh V. 1996. A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Internet Journal of Human-computer Studies 45(1): 19-45.
17. Davis FD, Bagozzi RP, Warshaw PR. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35(8): 982-1003.
18. Dholakis U, Baggozzi R. 2001. Consumer behavior in digital environments. In Digital Marketing, Wind J, Mahajan V (eds). John Wiley & Sons: New York; 163-200.
19. Dholakia RR, Dholakia N. 2004. Mobility and markets: Emerging markets of m-commerce. Journal of Business Research 57: 1391-1396.
20. Eriksson O. 2002. Location based destination information for the mobile tourist. In Information and Communication Technologies in Tourism 2002, Wöber K (ed.) Springer: Berlin; 255-264.
21. Fishbein M, Ajzen I. 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley: Reading. MA.
22. Glovin CS. 2005. March 22. US Mobile Growth Defies Conventional Wisdom. Forrester Research Inc.: Cambridge, MA.
23. Gollwitzer PM. 1996. The volitional benefits of planning. In The Psychology of Action: Linking Cognition and Motivation to Behavior, Gollwitzer PM, Bargh JA (eds). Guilford: New York; 287-312.
24. Gursoy D, McCleary KW. 2004. An integrative model of tourists' information search behavior. Annals of Tourism Research 31(2): 353-373.
25. Hayes-Roth B. 1977. Evolution of cognitive structures and processes. Psychological Review 84: 260-278.
26. Heckhausen H, Gollwitzer PM. 1987. Thought contents and cognitive functioning in motivational versus volitional states of mind. Motivation and Emotion 11: 101-120.
27. Howard J. 1963. Marketing: Executive and Buyer Behavior. Columbia University Press: New York.
28. Howard J. 1977. Consumer Behavior: Application of theory. McGraw-Hill: New York.
29. Hung S-Y, Ku C-Y, Chang C-M. 2003. Critical factors of WAP Services adoption: an empirical study. Electronic Commerce Research & Applications 2(1): 42-60.
30. Igbaria M. 1993. User acceptance of microcomputer technology: an empirical test. Omega 21(1): 73-90.
31. Igbaria M, Chakrabarti A. 1990. Computer anxiety and attitudes toward microcomputer use. Behavior and Information Technology 9: 229-241.
32. Igbaria M, Iivari J. 1995. The effects of self-efficacy on computer usage. Omega 23(6): 587-605.
33. Igbaria M, Guimaraes T, Davis G. 1995. Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information System 11(4): 87-114.
34. Irani T. 2000. Prior experience, perceived usefulness and the Web: factors influencing agricultural audiences' adoption of internet communication tools. Journal of Applied Communications 84(2): 49-63.
35. Kline RB. 2005. Principles and Practice of Structural Equation Modeling. Guildford Press: New York.
36. Koufaris M, Kambil A, LaBarbera PA. 2002. Consumer behavior in Web-based commerce: an empirical study. International Journal of Electronic Commerce 6(2): 115-138.
37. Lu J, Yu C-S, Liu C, Yao JE. 2003. Technology acceptance model for wireless Internet. Internet Research: Electronic Networking Applications and Policy 13(3): 206-222.
38. Marks L, Olson J. 1981. Toward a cognitive structure conceptualization of product familiarity. In Advances in Consumer Research 8, Monroe K (ed). Association for Consumer Research: Ann Arbor; 145-150.
39. Marsh HW, Balla JR, McDonald R. 1998. Goodness-of-fit indexes in confirmatory factor analysis: the effects of sample size. Psychological Bulletin 103(3): 391-410.
40. Mathieson K. 1991. Predicting user intentions: comparing the technology acceptance model with theory planned behaviour. Information Systems Research 2(3): 192-222.
41. McDonald H, Adam S. 2003. A comparison of online and postal data collection methods in marketing research. Marketing Intelligence & Planning 21(2): 85-95.
42. Mitchell A, Dacin P. 1996. The assessment of alternative measures of consumer expertise. Journal of Consumer Research 23: 219-239.
43. Moore GC, Benbasat I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2(3): 192-223.
44. Moore W, Lehmann D. 1980. Individual differences in search behavior for a nondurable. Journal of Consumer Research 7: 296-307.
45. Nelson R, Cheney P. 1997. Training end users: An exploratory study. MIS Quarterly 11(4): 547-559.
46. Nunnally JC. 1978. Psychometric theory. McGraw-Hill: New York.
47. Pagani M. 2004. Determinants of adaptation of third generation mobile multimedia services. Journal of Interactive Marketing 18(3): 46-59.
48. Parasuraman S, Igbaria M. 1990. An examination of gender differences in the determinants of computer anxiety and attitudes toward microcomputers among managers. International Journal of Man-Machine Studies 32: 327-340.
49. Park C, Lessig V. 1981. Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research 8: 223-230.
50. Park C, Mothersbaugh D, Feick L. 1994. Consumer knowledge assessment. Journal of Consumer Research 21: 71-82.
51. Parthasarathy M, Bhattacherjee A. 1998. Understanding post-adoption behavior in the context of online services. Information System Research 9(4): 362-379.
52. Peterson RA, Merino MC. 2003. Consumer information search behavior and the Internet. Psychology & Marketing 20(2): 99-121.
53. Plouffe CR, Hulland JS, Vandenbosch M. 2001. Research report: Richness versus parsimony in modeling technology adoption decisions-understanding merchant adoption of a smart card-based payment system. Information Systems Research 12(2): 208-222.
54. Rao A, Monroe K. 1988. The moderating effect of prior knowledge on cue utilization in product evaluations. Journal of Consumer Research 15: 253-264.
55. Rao A, Sieben W. 1992. The effect of prior knowledge on price acceptability and the type of information examined. Journal of Consumer Research 19: 256-270.
56. Ratchford BT, Srinivasan N. 1993. An empirical investigation of returns to search. Marketing Science 12(1): 73-87.
57. Rogers E. 1995. Diffusion of Innovations, 4th edn. Free Press: New York.
58. Ropers S. 2001. New business models for the mobile revolution. eAI Journal 27: 53-57.
59. Schertler W, Schmid B, Tjoa AM, Werthner H. 1995. Information and Communication Technologies in Tourism. Springer Wien: New York.
60. Schmidt-Belz B, Makelainen M, Nick A, Poslad S. 2003. Intelligent brokering of tourism services for mobile users. In Information and Communication Technologies in Tourism 2003, Frew A, Hitz M, O'Connor P (eds.). Springer: Berlin; 115-123.
61. Schumacker RE, Lomax RG. 1996. Beginner's Guide to Structural Equation Modeling. Lawrence Erlbaum Associates, Inc.: Mahahw, NJ.
62. Siau K, Lim E-P Shen Z. 2001. Mobile commerce: promises, challenges, and research agenda. Journal of Database Management 12(3): 4-13.
63. Sheldon PJ. 1997. Tourism Information Technology. CAB International: Oxon, UK.
64. Smith M, MacKay M. 2001. The organization of information in memory for pictures of tourist destinations: are there age-related differences? Journal of Travel Research 39: 261-266.
65. Stafford TF, Gillenson ML. 2003. Mobile commerce: what it is and what it could be. Communications of the ACM 46(12): 33-34.
66. Szajna B. 1996. Empirical evaluation of the revised technology acceptance model. Management Science 42(1): 85-92.
67. Taylor S, Todd PA. 1995. Understanding information technology usage: a test of competing models. Information Systems Research 6(2): 144-174.
68. Tornatzky LG, Klein KJ. 1982. Innovation characteristics and innovation adoption implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management 29(1): 28-44.
69. Tourism Industry Association of America. 2005. 2004-2005 Survey of US State Territory Tourism Offices. Tourism Industry Association of America: Washington, DC.
70. Trevino LK, Webster J. 1992. Flow in computer-mediated communication: electronic mail and voice mail evaluation and impacts. Communication Research 19: 539-573.
71. Tsang MM, Ho S, Liang T. 2004. Consumer attitudes toward mobile advertising: an empirical study. International Journal of Electronic Commerce 8(3): 65-78.
72. Varshney U, Vetter R. 2002. Mobile commerce: Framework, applications and networking support. Mobile Networks and Applications 7(3): 185-198.
73. Venkatesh V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11(4): 342-365.
74. Venkatesh V, Davis FD. 1996. A model of the antecedents of perceived ease of use: development and test. Decision Sciences 27(3): 451-481.
75. Venkatesh V, Morris M, Davis GB, Davis FD. 2003. User acceptance of information technology: toward a unified view. MIS Quarterly 27(3): 425-478.
76. Vittet-Philippe P, Navarro JM. 2000. Mobile e-business (m-commerce): State of play and implications for European enterprise policy. European Commission Enterprise Directorate-General E-Business Report 3(6). Available at http://www.ncits.org/tc_home/v3htm/ v301008.pdf (accessed 12 March 2007).
77. Vogt C, Fesenmaier D. 1998. Expanding the functional information search model. Annals of Tourism Research 25: 551-578.
78. Wi-Fi Alliance. 2007. Travelers Have a New Favorite Companion: The Wi-Fi-Enabled Notebook Computer. Available at http://www.wi-fi.org/news/ pressrelease-121305-travelersfavoritecompanion/en (accessed 27 September 2007).
79. 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.
80. Zmud RW. 1979. Individual differences and MIS success: a review of the empirical literature. Management Science 23: 966-979.