Examining gender effects in technology acceptance by Arabian workers: A survey study

PACIS 2010 - 14th Pacific Asia Conference on Information Systems

Volumn , Issue , 2010, Pages 85-97

  Hu, Han Fen ^a   Al Gahtani, Said S ^b   Hu, Paul Jen Hwa ^a  

^a UNIVERSITY OF UTAH   (United States)

^b KING KHALID UNIVERSITY   (Saudi Arabia)

Author keywords

Developing country; Gender effect; Technology acceptance model; Theory of planned behavior

Indexed keywords

COMPUTER TECHNOLOGY; FACTOR MODEL; FEMALE WORKERS; GENDER EFFECTS; GENDER ROLES; PERCEIVED USEFULNESS; SOCIAL NORM; SUBJECTIVE NORM; TECHNOLOGY ACCEPTANCE; TECHNOLOGY ACCEPTANCE MODEL; TECHNOLOGY INFRASTRUCTURE; THEORY OF PLANNED BEHAVIOR;

DEVELOPING COUNTRIES; INFORMATION SYSTEMS; SOCIAL SCIENCES; SURVEYS;

TECHNOLOGY;

EID: 84855987705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Kuhl & Beckman (Eds.). Action-Control: From Cognition to Behavior, 11-39. Heidelberg: Springer.
2. Al Sukkar, A., Hasan, H. (2005). Toward a model for the acceptance of Internet banking in developing countries. Information Technology for Development, 11(4), 38-398.
3. Al-Gahtani, S.S.; Hubona, G.S.; Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44, 681-691.
4. Al-Kahtani, N.K.M.; Ryan, J.C.H.; and Jefferson, T.I. (2005). How Saudi female faculty perceive internet technology usage and potential. Information Knowledge Systems Management, 5(4), 227-243.
5. Al-maghrabi, T., and Dennis, C. (2009). The driving factors of continuance online shopping: Gender differences in behaviour the case of Saudi Arabia. In Proceedings of the European and Mediterranean Conference on Information Systems (Izmir, 13-14 July 2009).
6. Baker, E.; Al-Gahtani, S.; and Hubona, G. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB). Information Technology & People, 20(4), 352-375.
7. Bandyopadhyay, K. and Fraccastoro, K.A. (2007). The effect of culture on user acceptance of Information technology. Communications of the AIS, 19, 522-543.
8. Chatfield, A.T., and Alhujran, O. (2009). A cross-country comparative analysis of e-government service delivery among Arab countries. Information Technology for Development, 15(3), 151-170.
9. Chau, P.Y.K., and Hu, P.J. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719.
10. Chau, P.Y.K., and Hu, P.J. (2002). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4), 191-229.
11. Cherrayil, N.K. (2008). Mideast web users could triple to 25m. Gulfnew.com. published September 02, 2008, Available at http://www.gulfnews.com/ technology/internet/10242029.html, Accessed at September 03, 2008.
12. Chin, W. W.; Marcolin, B. L.; and Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14, 189-217.
13. Conner, M., and Sparks, P. (1996). The theory of planned behavior and health behaviors. in M. Conner and P. Norman (eds.), Predicting Health Behavior. Open University Press, Buckingham, UK, 121-162.
14. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
15. 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), 982-1003.
16. Eagly, A.H. (1987). Sex Differences in Social Behavior: A Social-Role Interpretation. Hillsdale, NJ: Erlbaum.
17. El Louadi, M. (2008). The Arab world, culture and information technology. In Panayiotis Zaphiris and Chee Siang Ang (Eds.) Human Computer Interaction: Concepts, Methodologies, Tools and Applications, 1, 123-131.
18. Fornell, C., and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
19. Fortin, D.R. (2000). Clipping coupons in cyberspace: A proposed model of behavior for deal-prone consumers. Psychology and Marketing, 17(6), 515-534.
20. 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), 389-400.
21. Hofstede, G. (1980). Culture's Consequences: International Differences in Work Related Values, Sage, London.
22. Hill, C.; Loch, K.; Straub, D.W.; and El-Sheshai, K. (1998). A qualitative assessment of Arab culture and information technology transfer. Journal of Global Information Management, 6(3), 29-38.
23. Khreisat, L. (2009). The under-representation of women in information technology and computing in the Middle East: A perspective from Jordan. Technology in Society, 31(3), 287-294.
24. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
25. Loch, K.D.; Straub, D.W.; and Kamel, S. (2003). Diffusing the Internet in the Arab world: The role of social norms and technological culturation. IEEE Transactions on Engineering Management, 50(1), 45-63.
26. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
27. Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill.
28. Straub, D. W., M. Keil, and W. Brenner. (1997). Testing the Technology Acceptance Model across Cultures: A Three-Country Study, Information & Management. (33), 1-11.
29. Thompson, R.L., Higgins, C.A., and Howell, J.M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 151, 125-143.
30. Taylor, S., and Todd, P.A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
31. Venkatesh, V., and Morris, M.G. (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), 115-193.
32. Venkatesh, V.; Davis, F.D.; Morris, M.G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286.
33. 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), 425-478.