Testing for the applicability of the ta m model in the arabic context: Exploring an extended TAM with three moderating factors

Information Resources Management Journal

Volumn 21, Issue 4, 2008, Pages 1-26

  Al Gahtani, Said S ^a  

^a KING KHALID UNIVERSITY   (Saudi Arabia)

Author keywords

Age; Arab; Educational level; Gender; Interaction effect; Moderator variables; Tam; Technology acceptance model

Indexed keywords

INFORMATION RETRIEVAL; MANAGEMENT;

ARAB; EDUCATIONAL LEVELS; GENDER; INTERACTION EFFECT; TECHNOLOGY ACCEPTANCE MODEL;

MODERATORS;

EID: 70249137687     PISSN: 10401628     EISSN: 15337979     Source Type: Journal    
DOI: 10.4018/irmj.2008100101     Document Type: Article

References (87)

1. Abdul-Gader, A. H. (1999). Managing computerbased information systems in developing countries: A cultural perspective. Hershey, PA: Idea Group.
2. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
3. Ahuja, M. K. (2002). Information technology and the gender factor. European Journal of Information Systems, 11(1), 20-34.
4. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Process, 50(2), 179-211.
5. Albarracin, D., Johnson, B. T., Fishbein, M., Muellerleile, P. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1), 142-161.
6. Al-Gahtani, S. S. (2001). The applicability of TAM outside North America: An empirical test in the United Kingdom. Information Resource Management Journal, 14(3), 37-46.
7. Al-Gahtani, S. S. (2004). Computer technology acceptance success factors in Saudi Arabia: An exploratory study. Journal of Global Information Technology Management, 7(1), 5-29.
8. Al-Munajjed, M. (1997). Women in Saudi Arabia today. New York: St. Martin's Press.
9. Al-Wakeel, S. S. (2001). Innovation in computer education curriculum for the computerization of Saudi Arabia: A model for developing countries. Proceedings of the IEEE 31st ASEE/IEEE Frontiers in Education Conference, Reno, NV (pp. 1-7).
10. Anandarajan, M., Igbaria, M., Anakwe, U. P. (2002). IT acceptance in a less-developed country: A motivational factor perspective. International Journal of Information Management, 22(1), 47-65.
11. Aubert, B. A., Rivard, S., Patry, M. (1994). Development of measures to assess dimension of IS operation transactions. In J. I. DeGross, S. L. Huff, M. C. Munro (Eds.), Proceedings of the Fifteenth International Conference on Information Systems, Vancouver, British Columbia (pp. 13-26).
12. Baki, R. (2004, June 17). Gender-segregated education in Saudi Arabia: Its impact on societal norms and the Saudi labor market. Education Policy Analysis Archives, 12(28). Retrieved January 21, 2007 from http://epaa.asu.edu/ epaa/v12n28/
13. Burton-Jones, A., Hubona, G. S. (2005). Individual differences and usage behavior: Revisiting a technology acceptance model assumption. The Data Base for Advances in Information Systems, 36(2), 58-77.
14. Cavaye, A. L. M. (1995). User participation in system development revisited. Information & Management, 29, 311-323.
15. Center for International Higher Education. (2000). Pressures in Saudi Arabia. Retrieved from http:// www.bc.edu/bcorg/avp/soe/cihe/newsletter/News20/ text13.htm
16. Chin, W., Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. DATA BASE Advances in IS, 26(2& 3), 42-63.
17. Chin, W. W., Marcolin, B. L., & Newsted, P. R. (1996). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and voice mail emotion/adoption study. In J. DeGross, A. Srinivasan, & S. Jarvenpaa (Eds.), Proceedings of the ICIS, Cleveland, OH (pp. 21-41).
18. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
19. Conner, M., Sheeran, P., Norman, P., & Armitage, C. (2000) Temporal stability as a moderator of rela tionships in the theory of planned behavior. British Journal of Social Psychology, 39, 469-493.
20. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
21. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475-487.
22. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.
23. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest of the dependent variable. Information Systems Research, 3, 60-95.
24. Ein-Dor, P., Segev, E., & Orgad, M. (1992). The effect of national culture on IS: Implications for international information systems. Journal of Global Information Management, 1(1), 33-44.
25. Elbeltagi, I., McBride, N., & Hardaker, G. (2005). Evaluating the factors affecting DSS usage by senior managers in local authorities in Egypt. Journal of Global Information Management, 13(2), 42-65.
26. Esposito, J., & Haddad, Y. Y. (Eds.). (1998). Islam, gender and social change. New York: Oxford University Press.
27. Field, M. (1994). Inside the Arab world. Cambridge: Harvard Press.
28. Ford, F. N., Ledbetter, W. N., et al. (1996). The impact of decision support training on computer use: The effect of prior training, age and gender. Journal of End User Computing, 8(2), 15-23.
29. Fornell, C. R., & Bookstein, F. L. (1982). Two structural models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440-452.
30. Fornell, C. R., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
31. Gefen, D., & 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), 389-400.
32. Global Virtual University. (2006). Globalis-An interactive world map. Retrieved from http://globalis.gvu.unu.edu/
33. Harris, R., & Davison, R. (1999). Anxiety and involvement: Cultural dimensions of attitudes toward computers in developing societies. Journal of Global Information Management, 7(1), 26-38.
34. Hill, C. E., Loch, K. D., Straub, D. W., & El-Sheshai, K. (1998). A qualitative assessment of Arab culture and information technology transfer. Journal of Global Information Management, 6(3), 29-38.
35. Hoxmeier, J. A., Niew, N., & Purvis, G. T. (2000). The impact of gender and experience on user confidence in electronic mail. Journal of End User Computing, 12, 11-20.
36. Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.
37. Hubona, G. S., & Cheney, P. H. (1994, January). System effectiveness of knowledge-based technology: The relationship of user performance and attitudinal measures. Proceedings of the Twenty-seventh Annual Hawaii International Conference on System Sciences (HICSS-27).
38. Hubona, G. S., Truex, D., Wang, J., & Straub, D. (2006). Cultural and globalization issues impacting the organizational use of information technology. In P. Zhang & D. Galletta (Eds.), Advances in management information systems (AMIS) (Vol. 2, pp. 200-243). Armonk, NY: Sharpe.
39. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305.
40. Ives, B., & Jarvenpaa, S. (1991). Wiring the stateless corporation: Empowering the drivers and overcoming the barriers. SIM Network, 6, 5-8.
41. Kinninmont, J. (2006). Saudi Arabia's women pioneers. Open Democracy.
42. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12, 752-780.
43. Lefkowitz, J. (1994) Sex-related differences in job attitudes and dispositional variables: Now you see them. Academy Management Journal, 37(2), 323-349.
44. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191-204.
45. Levy, J. A. (1988). Intersections of gender and aging. The Sociological Quarterly, 29(4), 479-486.
46. Liu, L., & Ma, Q. (2006). Perceived system performance: A test of an extended technology acceptance model. The Data Base for Advances in Information Systems, 37(2-3), 51-59.
47. Lohmöller, J. B. (1989). Latent variable path modeling with partial least squares. Heidelberg, Germany: Physica-Verlag.
48. Lucas, H. C., & Spitler, V. K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291-311.
49. Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59-72.
50. Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of OrganizationalComputing and Electronic Commerce, 11(2), 107-130.
51. Mahmood, M. A., & Mann, G. J. (2000). Special issue: Impacts of information technology investment on organizational performance. Journal of Management Information Systems, 17(1), 3-10.
52. Malek, M., & Al-Shoaibi, A. (1998). Information technology in the developing countries: Problems and prospects. Conference on Administrative Sciences: New Horizons and Roles in Development. King Fahd University of Petroleum and Minerals, Dhahran.
53. Mao, E., & Palvia, P. (2006) Testing an extended model of IT acceptance in the Chinese cultural context. The Data Base for Advances in Information Systems, 37(2-3), 20-32.
54. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
55. McCoy, S., Everard, A., & Jones, B. M. (2005). An examination of the technology acceptance model in Uruguay and the US: A focus on culture. Journal of Global Information Technology Management, 27-45.
56. Ministry of Economy and Planning. (2002). The Saudi statistical yearbook. Retrieved from http://www. planning.gov.sa
57. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
58. Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel Psychology, 53(2), 375-403.
59. Morris, M. G., Venkatesh, V., & Ackermann, P. L. (2005). Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Transactions on Engineering Management, 52(1), 69-84.
60. Niederman, F., Boggs, D. J., & Kundu, S. (2002). International business and global information management research: Toward a cumulative tradition. Journal of Global Information Management, 10(1), 33-47.
61. Nosek, B. A., Banaji, M. R., & Greenwald, A. G. (2002). Harvesting implicit group attitudes and beliefs from a demonstration website. Group Dynamics: Theory, Research, Practice, 6, 101-115.
62. Ong, C.-S., & Lai, J.-Y. (2004). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22, 816-829.
63. Plude, D., & Hoyer, W. (1985). Attention and performance: Identifying and localizing age deficits. In N. Charness (Ed.), Aging and human performance (pp. 47-99). New York: John Wiley & Sons.
64. Png, I. P., Tan, B. C., & Wee, K. L. (2001). Dimensions of national culture and corporate adoption of IT infrastructure. IEEE Transactions on Engineering Management, 48(1), 36-45.
65. Rogers, E. M. (1995). Diffusion of innovations (4th ed). New York: The Free Press.
66. Rose, G., & Straub, D. (1998). Predicting general IT use: Applying TAM to the Arabic world. Journal of Global Information Management, 6(3), 39-46.
67. Sharit, J., & Czaja, S. J. (1994). Ageing, computerbased task performance, and stress: Issues and challenges. Ergonomics, 37, 559-577.
68. Shin, S. K., Ishman, M., & Sanders, G. L. (2007). An empirical investigation of socio-cultural factors of information sharing in China. Information & Management, 44(2), 165-174.
69. Straub, D., Keil, M., & Bernner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33, 1-11.
70. Straub, D., Karen, L., & Hill, C. E. (2001). Transfer of information technology to the Arab world: A test of cultural influence modeling. Journal of Global Information Management, 9(4), 6-28.
71. Straub, D., Limayem, M., & Karahanna, E. (1995). Measuring system usage: Implications for IS theory testing. Management Science, 41(8), 1328-1342.
72. Tabachinck, B., & Fidell, L. (1983). Using multivariate statistics. New York: Harper and Row.
73. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
74. Tempkin, B. D. (2003). Web sites continue to fail the usability test. Forrester Res. Rep., 17, 226.
75. Trauth, E. M. (2002). Odd girl out: An individual differences perspective on women in the IT profession. Inf. Technol. People, 15, 98-118.
76. UNESCO Institute for Statistics. (2004). Education in Saudi Arabia: Statistics in brief. Retrieved from http://www.uis.unesco.org/profiles/EN/EDU/ countryProfileen.aspx?code=6820
77. Vassiliev, A. (1998). The history of Saudi Arabia. London: Saqi Books.
78. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204.
79. Venkatesh, V., & Morris, M. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.
80. Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision- making processes. Organizational Behavior and Human Decision Process, 83(1), 33-60.
81. Wellesley Centers for Women. (1999). The windfall of longevity. Wellesley, MA: Author.
82. Wold, H. (1989). Introduction to the second generation of multivariate analysis. In H. Wold (Ed.), Theoretical empiricism (pp. vii-xl). New York: Paragon House.
83. Woodfield, R. (2002). Women and information systems development: Not just a pretty (inter) face. Information Technology and People, 15(2), 119-138.
84. World Bank Group. (2006). Saudi Arabia data profile. World Development Indicators Database. Retrieved from http://www.worldbank.org/sa
85. Yavas, U., Luqmani, M., et al. (1992). Facilitating the adoption of information technology in a developing country. Information and Management, 23(2), 75-82.
86. Yoo, Y., & Alavi, M. (2001). Media and group cohesion: Relative influences on social presence, task participation, and group consensus. MIS Quarterly, 25(3), 371-390.
87. Zhang, Y. (2004). Age, gender, and Internet attitudes among employees in the business world. Computers in Human Behavior, 21, 1-10.