Determinants of the use of the Internet as a tourist information source

Service Industries Journal

Volumn 27, Issue 7, 2007, Pages 881-891

  Luque Martínez, Teodoro ^a   Castañeda García, Alberto J ^a   Frías Jamilena, Dolores Ma ^a   Muñoz Leiva, Francisco ^a   Rodríguez Molina, Miguel ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION TECHNOLOGY; INTERNET; MODELING;

EID: 34748837962     PISSN: 02642069     EISSN: 17439507     Source Type: Journal    
DOI: 10.1080/02642060701570586     Document Type: Article

References (53)

1. Ajzen, I. (1991) The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50:2, pp. 179-211.
2. Ajzen, I. and Fishbein, M. (1980) Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ
3. Bagozzi, R. P. (1981) Attitudes, intentions and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, pp. 607-627.
4. Bandura, A. (1982) Self-efficacy mechanism in human agency. American Psychologist, 37:2, pp. 122-147.
5. Bearden, W. O. and Teel, J. E. (1983) Selected determinants of customer satisfaction and complaint reports. Journal of Marketing Research, 20:1, pp. 21-28.
6. Bernadette, S. (1996) Empirical evaluation of the revised technology acceptance model. Management Science, 42:1, pp. 85-93.
7. Bhattacherjee, A. (2000) Adoption of IS services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30:4, pp. 411-420.
8. Bhattacherjee, A. and Premkumar, G. (2004) Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28:2, pp. 229-254.
9. Bonn, M. A., Furr, H. L. and Susskind, A. M. (1999) Predicting a behavioural profile for pleasure travellers on the basis of internet use segmentation. Journal of Travel Research, 37:4, pp. 333-340.
10. Buhalis, D. (1998) Strategic use of information technologies in the tourism industry. Tourism Management, 19:5, pp. 409-421.
11. Castañeda, J. A., Rodríguez, R. A. and Luque, T. (2004) Identifying the hierarchy of effects operative in an Internet attitude model applied to e-loyalty. 33rd EMAC, European Marketing Academy Conference, New Technologies and E-marketing VI
12. Chen, L., Gillenson, M. L. and Sherrell, D. L. (2002) Enticing online consumers: An extended technology acceptance perspective. Information and Management, 39, pp. 705-719.
13. Churchill Jr., G. A. and Surprenant, C. (1982) An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19:4, pp. 491-504.
14. Cornella, A. (2002) Infonomia!com: La gestín de la información en las organizaciones, Ediciones Deusto, Bilbao
15. Davis, F. D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13:3, pp. 319-340.
16. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989) User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35:8, pp. 982-1003.
17. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1992) Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22:14, pp. 1111-1132.
18. Fenech, T. (1998) Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Network and ISDN System, 30:1, pp. 629-630.
19. Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA
20. Gardner, M. P. (1985) Does attitude toward the ad affect brand attitude under a brand evaluation set?. Journal of Marketing Research, 22:2, pp. 192-198.
21. Gefen, D. and Straub, D. W. (1997) Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21:4, pp. 389-400.
22. Gefen, D., Karahanna, E. and Straub, D. (2003) Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27:1, pp. 51-90.
23. Grossbart, S., Muehling, D. and Kangun, N. (1986) Verbal and visual references to competition in comparative advertising. Journal of Advertising, 15:1, pp. 10-23.
24. Gursoy, D. and McCleary, K. W. (2004) An integrative model of tourists' information search behaviour. Annals of Tourism Research, 31, pp. 353-373.
25. Harrison, D. A., Mykytyn, P. P. and Riemenschneider, C. K. (1997) Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8:2, pp. 171-195.
26. Hu, P. J., Chau, P. Y. K., Sheng, O. R. L. and Tam, K. Y. (1999) Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information System, 16:2, pp. 91-112.
27. Hu, P. J., Clark, T. H. K. and Ma, W. W. (2003) Examining technology acceptance by school teachers: A longitudinal study. Information and Management, 41:2, pp. 227-241.
28. Inkpen, G. (1998) Information Technology for Travel and Tourism, Longman, Singapore
29. Karahanna, E., Straub, D. W. and Chervany, N. L. (1999) Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23:2, pp. 183-213.
30. Law, R. (2000) Internet in travel and tourism-Part I. Journal of Travel and Tourism Marketing, 9:4, pp. 83-87.
31. Law, R., Leung, K. and Wong, J. (2004) The impact of the internet on travel agencies. International Journal of Contemporary Hospitality Management, 16:2, pp. 100-107.
32. Lord, C., Ross, L. and Lepper, M. (1979) Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37, pp. 2098-2109.
33. Malhotra, Y. and Galletta, D. F. (1999) Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Proceedings of the 32nd Hawaii International Conference on System Science, pp. 1-14.
34. Mathieson, K. (1991) Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2:3, pp. 173-191.
35. Mitchell, A. and Olson, C. (1981) Are products attribute beliefs the only mediator of advertising effects in brand attitude?. Journal of Marketing Research, 18, pp. 318-332.
36. Oliver, R. L. (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17:4, pp. 460-469.
37. Oliver, R. L. (1997) Satisfaction: A Behavioral Perspective on the Consumer, McGraw-Hill, New York
38. Pavlou, P. A. (2002) What drives electronic commerce? A theory of planned behavior perspective. Academy of Management Annual Meeting, pp. 9-14. Denver, CO
39. Pavlou, P. A. (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7:3, pp. 69-103.
40. Pavlou, P. A. and Fygenson, M. (2006) Understanding and predicting electronic commerce adoption: An extension of the theory of planned behaviour. MIS Quarterly, 30:1, pp. 115-144.
41. Petty, R. E. and Cacioppo, J. T. (1983) Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10, pp. 135-145.
42. Sánchez, M. J. and Rondán, J. L. (2005) Web acceptance and usage model: A comparison between goal-directed and experiential web users. Internet Research, 15:1, pp. 21-48.
43. Segars, A. H. and Grover, V. (1993) Re-examining perceived easy of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17:4, pp. 517-525.
44. Swanson, E. B. (1982) Measuring user attitude in MIS research: A review. OMEGA, 10:2, pp. 157-165.
45. Szajna, B. (1996) Empirical evaluation of the revised technology acceptance model. Management Science, 42:1, pp. 85-92.
46. Szymanski, D. M. and Henard, D. H. (2001) Customer satisfaction: A meta-analysis of the empirical evidence. Journal of Academy of Marketing Science, 29:1, pp. 16-35.
47. Szymanski, D. M. and Hise, R. T. (2000) E-satisfaction: An initial examination. Journal of Retailing, 76:3, pp. 309-322.
48. Taylor, S. and Todd, P. A. (1995) Understanding information technology usage: A test of competing models. Information Systems Research, 6:2, pp. 144-176.
49. Tse, D. K. and Wilton, P. (1988) Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25, pp. 104-112.
50. Venkatesh, V. and Davis, F. D. (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46:2, pp. 186-204.
51. Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly, 27:3, pp. 425-478.
52. West, S. G., Finch, J. F. and Curran, P. J. (1995) Structural equations models with nonnormal variables: Problems and remedies. Structural Equation Model: Concepts, Issues, and Applications, pp. 57-75. Sage Publications, Newbury Park, CA
53. Yi, Y. (1990) A critical review of consumer satisfaction. Review of Marketing, pp. 68-123. American Marketing Association, Chicago, IL