A path analysis of the impact of application-specific perceptions of computer self-efficacy and anxiety on technology acceptance

Journal of Organizational and End User Computing

Volumn 22, Issue 3, 2010, Pages 82-95

  Hasan, Bassam ^a   Ahmed, Mesbah U ^a  

^a UNIVERSITY OF TOLEDO   (United States)

Author keywords

Application specific beliefs; Computer anxiety; Computer self efficacy; Information systems; Information systems acceptance

Indexed keywords

APPLICATION-SPECIFIC; COMPUTER ANXIETY; COMPUTER SELF-EFFICACY; DIRECT IMPACT; INDIRECT EFFECTS; LITTLE RESEARCH; PATH ANALYSIS; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; RESEARCH MODELS; SPECIFIC COMPONENT; TECHNOLOGY ACCEPTANCE;

REGRESSION ANALYSIS;

INFORMATION SYSTEMS;

EID: 77956286609     PISSN: 15462234     EISSN: 15465012     Source Type: Journal    
DOI: 10.4018/joeuc.2010070105     Document Type: Article

References (55)

1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information. Management Information Systems Quarterly, 16(2), 227-247. doi:10.2307/249577
2. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. Management Information Systems Quarterly, 24(4), 665-694. doi:10.2307/3250951
3. Agarwal, R., Sambamurthy, V., & Stair, R. (2000). The evolving relationship between general and specific computer self-efficacy: An empirical assessment. Information Systems Research, 11(4), 418-430. doi:10.1287/isre.11.4. 418.11876
4. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. doi:10.1016/0749- 5978(91)90020-T
5. Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41(6), 731-745. doi:10.1016/j. im.2003.08.010
6. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Upper Saddle River, NJ: Prentice-Hall.
7. Beckers, J. J., & Schmidt, H. G. (2001). The structure of computer anxiety: A six-factor model. Computers in Human Behavior, 17(1), 35-49. doi:10.1016/S0747-5632(00)00036-4
8. Billings, R., & Wroten, S. (1978). Use of path analysis in industrial/organizational psychology: Criticisms and suggestions. The Journal of Applied Psychology, 63(6), 677-688. doi:10.1037/0021-9010.63.6.677
9. Bock, G. W., & Kim, Y.-G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. Information Resources Management Journal, 15(2), 14-21.
10. Brown, S. A., Fuller, R., & Vician, C. (2004). Who's afraid of the virtual world? The role of anxiety in computer-mediated communication use and satisfaction. Journal of the Association for Information Systems, 5(2), 81-109.
11. Bryman, A., & Cramer, D. (1994). Quantitative data analysis for social scientists. New York: Routledge.
12. Chau, P. Y. K. (1996). An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information & Management, 30(6), 269-280. doi:10.1016/S0378-7206(96)01074-9
13. Chau, P. Y. K. (2001). Influence of computer attitude and self-efficacy on IT usage behavior. Journal of End User Computing, 13(1), 26-33.
14. Chiu, C.-M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201. doi:10.1016/j.im.2008.02.003
15. Chua, S. L., Chen, D., & Wong, A. (1999). Computer anxiety and its correlates: A meta-analysis. Computers in Human Behavior, 15(5), 609-623. doi:10.1016/S0747-5632(99)00039-4
16. Compeau, D. R., & Higgins, C. A. (1995). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(1), 118-143. doi:10.1287/isre.6.2.118
17. Compeau, D. R., & Higgins, C. A. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. Management Information Systems Quarterly, 23(2), 145-159. doi:10.2307/249749
18. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. doi:10.2307/249008
19. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
20. Djamasbi, S., & Loiacono, E. T. (2008). Do men and women use feedback provided by their decision support systems (DSS) differently? Decision Support Systems, 44(4), 854-869. doi:10.1016/j. dss.2007.10.008
21. Dyck, J. L., Gee, N. R., & Smither, J. A. (1998). The changing construct of computer anxiety for younger and older adults. Computers in Human Behavior, 14(1), 61-77. doi:10.1016/S0747-5632(97)00032-0
22. Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resource management. Academy of Management Review, 12(3), 472-485. doi:10.2307/258514
23. Hackbarth, G., Grover, V., & Yi, M. Y. (2003). Computer playfulness and anxiety: Positive and negative mediators of the system experience effect on perceived ease of use. Information & Management, 40(3), 221-232. doi:10.1016/S0378- 7206(02)00006-X
24. Havelka, D., Beasley, F., & Broome, T. (2004). A study of computer anxiety among business students. Mid-American Journal of Business, 19(1), 63-71.
25. Henderson, R., & Divett, M. (2003). Perceived usefulness, ease of use and electronic supermarket use. International Journal of Human-Computer Studies, 59(3), 383-395. doi:10.1016/S1071- 5819(03)00079-X
26. Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868. doi:10.1016/j.im.2003.08.014
27. Hsu, M.-H., & Chiu, C.-M. (2004). Internet selfefficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381. doi:10.1016/j. dss.2003.08.001
28. Hu, P. J. H., Clark, T. H. K., & Ma, W. W. (2003). Examining technology acceptance by school teachers: A longitudinal study. Information & Management, 41(2), 227-241. doi:10.1016/S0378- 7206(03)00050-8
29. Igbaria, M., & Chakrabarti, A. (1990). Computer anxiety and attitudes towards microcomputer use. Behaviour & Information Technology, 9(3), 229-241. doi:10.1080/01449299008924239
30. Igbaria, M., & Iivari, J. (1995). Effects of selfefficacy on computer usage. Omega-International Journal of Management Science, 23(6), 587-605. doi:10.1016/0305-0483(95)00035-6
31. Johnson, R. A. (2005). An empirical investigation of sources of application-specific computer-selfefficacy and mediators of the efficacy: Performance relationship. International Journal of Human-Computer Studies, 62(6). doi:10.1016/j.ijhcs.2005.02.008
32. Johnson, R. D., & Marakas, G. M. (2000). The role of behavioral modeling in computer skills acquisition: Toward refinement of the model. Information Systems Research, 11(4), 402-417. doi:10.1287/isre.11.4.402.11869
33. King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755. doi:10.1016/j. im.2006.05.003
34. Lee, T. Y., Kozar, K. A., & Larsen, K. R. T. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(50), 752-780.
35. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. doi:10.1016/S0378-7206(01)00143-4
36. Lin, J. C., & Lu, H. P. (2000). Towards an understanding of the behavioural intention to use a Web site. International Journal of Information Management, 20(3), 197-208. doi:10.1016/S0268- 4012(00)00005-0
37. 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.
38. Lucas, H. C., & Spitler, V. K. (2000). Implementation in a world of workstations and networks. Information & Management, 38(2), 119-128. doi:10.1016/S0378-7206(00)00059-8
39. 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.
40. Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of Organizational Computing and Electronic Commerce, 11(2), 107-130. doi:10.1207/S15327744JOCE1102-02
41. Marakas, G. M., Yi, M. Y., & Johnson, R. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward a clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163. doi:10.1287/isre.9.2.126
42. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. doi:10.1287/isre.2.3.173
43. Premkumar, G., Ramamurthy, K., & Liu, H. N. (2008). Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems. Information & Management, 45(7), 451-457. doi:10.1016/j.im.2008.06.008
44. Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the technology acceptance model. Information & Management, 42(2), 317-327. doi:10.1016/j. im.2003.12.013
45. Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(1), 376-386. doi:10.1016/j.im.2008.06.002
46. Schepers, J., & Wetzels, M. (2007). A meta analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103. doi:10.1016/j. im.2006.10.007
47. Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management, 41(3), 351-368. doi:10.1016/S0378-7206(03)00079-X
48. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. doi:10.1287/isre.6.2.144
49. Thatcher, J. B., Loughry, M. L., Lim, J., & McKnight, D. H. (2007). Internet anxiety: An empirical study of the effects of personality, beliefs, and social support. Information & Management, 44(4), 353-363. doi:10.1016/j.im.2006.11.007
50. Thatcher, J. B., & Perrewé, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. Management Information Systems Quarterly, 26(4), 381-395. doi:10.2307/4132314
51. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11(4), 342-365. doi:10.1287/isre.11.4.342.11872
52. Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. doi:10.1111/j.1540-5915.1996.tb01822.x
53. Yi, M. U., & Im, K. S. (2004). Predicting computer task performance: Personal goal and self-efficacy. Journal of Organizational and End User Computing, 16(2), 28-37.
54. Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431-449. doi:10.1016/S1071-5819(03)00114-9
55. Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350-363. doi:10.1016/j.im.2005.08.006