How to cite this paper
Taghavi, M., Valahzaghard, M & Pourmoradi, Y. (2013). An empirical study on different factors influencing information technology adoption for auditing purposes: A case study of a banking organization.Management Science Letters , 3(4), 1307-1314.
References
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new
information technologies?. Decision Sciences, 30(2), 361-394.
Agarwal, R., Sambamurthy, V., & Stair, R.M. (2000). The evolving relationship between general and
specific computer self-efficacy – an empirical assessment. Information Systems Research, 11(4),
1-16.
Ajzen, I., & Fishbein, M. (1972). Attitude and normative beliefs as factors influencing intentions.
Journal of Personality and Social Psychology, 21(1), 1.
Ajzen, I. (1991). The theory of planned behavior, Organizational Behavior and Human Decision
Process, 50(2), 179-211.
Bandura, A. (2002). Growing primacy of human agency in adaptation and change in the electronic
era. European Psychologist, 7(1), 2-16.
Burton-Jones, A. & Hubona, G. S. (2005). Individual differences and usage behavior: revisiting a
technology acceptance model assumption. Database for Advances in Information Systems, 36(2),
58-77.
Carter, f (2001). Technological Innovations: A framework for communicating diffusion effects
information and management. International Journal of Information Management, 22, 42-65.
Carter, L., & Belanger, F. (2003). Diffusion of innovation & citizen adoption of e-government. The
Fifth International Conference on Electronic Commerce (ICECR-5), Pittsburg, PA, 57-63.
Carter, L., & Bélanger, F. (2005). The utilization of e?government services: citizen trust, innovation
and acceptance factors. Information Systems Journal, 15(1), 5-25.
Curran, J.M., & Meuter, M.L. (2005). Self-service technology adoption: comparing three
technologies. The Journal of Services Marketing, 19(2), 103- 114.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information
technology. MIS Quarterly, 13(3), 319?339.
Davis, S.A., & Bostrom, R.P. (1993). Training end users: An experimental investigation of the roles
of the computer interface and training methods. MIS Quarterly, 17(1), 61-86.
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.
Gefen, D., & Straub, D.W (2000). The relative importance of perceived ease of use in IS adoption: A
study of e-commerce adoption. Journal of the Association for Information Systems, 1(8), 1-19.
Gefen, D., Straud, D., & Elena, K. (2003). Trust and TAM in online shopping: An integrated model.
MIS Quarterly, 27(1), 51?90.
Gist, M.E., Schwoerer, C., & Rosen, R. (1989). Effects of alternative training methods on selfefficacy
and performance in computer software training. Journal of Applied Psychology, 74(6),
884-891.
Glassberg, B.C. (2000). Individual use of web technology: A reconceptualization and empirical test
of the technology acceptance model. Doctoral dissertation, University of South Carolina, 200.
AAAT 9981254).
Hassan, B. (1998). The influence of computer self-efficacy and outcome expectations on computer
training effectiveness. Doctoral dissertation, The University of Mississippi.
Hendrick, H., & Brown, O. (1984). Human factors in organizational design. Amsterdam: North Holland.
Hong, W., Thong, J.Y., Wong. W., & Tarn, K., (2002), Determinants of user acceptance of digital
libraries, an empirical examinational of individual differences and system characterizes. Journal of
Management Information System, 18, 97-124.
Karahanna, E., and Straub, D.W. (1999). The psychological origins of perceived usefulness and ease
– of – use. Information & Management, 35, 237-250.
Lai, V.S., & Li, H. (2005). Technology acceptance model for internet banking: An invariance
analysis. Information & Management, 42, 373- 386.
Lee, Y., Kozar, K. A., Larsen, K. R. T. (2003). The technology acceptance model: past, present, and
future. Communications of the AIS, 12, 752-780.
Luarn, P., & Lin, H-H. (2005). Toward an understanding of the behavioral intention to use mobile
banking. Computers in Human Behavior, 21(6), 873-891.
Mathieson, K. Peacock, E., & Chin, W.W. (2001). Extending the technology acceptance model: The
influence of perceived user resources. Database for Advances in Information Systems. 32(3), 86 -113.
McCormick, M.J., & Martinko, M.J. (2004). Identifying leader social cognitions: Integrating the
causal reasoning perspective into social cognitive theory. Journal of Leadership & Organizational
Studies, 10(4), 2-12.
Ndubisi, N.O. (2005). Integrating the moderation effect of entrepreneurial qualities into the
technology acceptance model and treatment of potential confounding factors. Journal of
Information and Science Technology, 2(1), 28-48.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, & Pahnila, S. (2004). Consumer acceptance of online
banking: an extension of the technology acceptance model. Internet Research, 14(3), 224-235.
Pinto, J. and S. Mantel (1990). The causes of project failure. IEEE Transactions on Engineering
Management, 37(4), 269-267.
Plouffe, C.R., Holland, J.S., & Vandenbosch, M. (2001). Richness versus parsimony in modeling
technology adoption decisions – Understanding merchant adoption of a smart card-based payment
system. Information Systems Research, 12(2), 208-228.
Prussia, G.E., Anderson, J.S., & Manz, C.C. (1998). Self leadership and performance outcomes: The
mediating influence of self-efficacy. Journal of Organizational Behavior, 19, 523-538.
Shin, D. H. (2007). User acceptance of mobile Internet: Implication for convergence technologies.
Interacting with Computers, 19(4), 472?483.
Tung, L. L., & Rieck, O. (2005). Adoption of electronic government services among business
organizations in Singapore. Journal of Strategic Information Systems, 14, 417?440.
Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic
motivation. MIS Quarterly, 23(2), 239-20.
Venkatesh, V., Morris, M.G., & Davis, G.B. (2003). User acceptance of information technology:
Toward a unified view. MIS Quarterly, 27(30), 425.
Wang, Y-S. Wang, Y-M, Lin H-H, & Tang, T-I. (2003). Determinants of user acceptance of internet
banking: An empirical study. International Journal of Service Industry Management, 14(5), pp.
501-520.
information technologies?. Decision Sciences, 30(2), 361-394.
Agarwal, R., Sambamurthy, V., & Stair, R.M. (2000). The evolving relationship between general and
specific computer self-efficacy – an empirical assessment. Information Systems Research, 11(4),
1-16.
Ajzen, I., & Fishbein, M. (1972). Attitude and normative beliefs as factors influencing intentions.
Journal of Personality and Social Psychology, 21(1), 1.
Ajzen, I. (1991). The theory of planned behavior, Organizational Behavior and Human Decision
Process, 50(2), 179-211.
Bandura, A. (2002). Growing primacy of human agency in adaptation and change in the electronic
era. European Psychologist, 7(1), 2-16.
Burton-Jones, A. & Hubona, G. S. (2005). Individual differences and usage behavior: revisiting a
technology acceptance model assumption. Database for Advances in Information Systems, 36(2),
58-77.
Carter, f (2001). Technological Innovations: A framework for communicating diffusion effects
information and management. International Journal of Information Management, 22, 42-65.
Carter, L., & Belanger, F. (2003). Diffusion of innovation & citizen adoption of e-government. The
Fifth International Conference on Electronic Commerce (ICECR-5), Pittsburg, PA, 57-63.
Carter, L., & Bélanger, F. (2005). The utilization of e?government services: citizen trust, innovation
and acceptance factors. Information Systems Journal, 15(1), 5-25.
Curran, J.M., & Meuter, M.L. (2005). Self-service technology adoption: comparing three
technologies. The Journal of Services Marketing, 19(2), 103- 114.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information
technology. MIS Quarterly, 13(3), 319?339.
Davis, S.A., & Bostrom, R.P. (1993). Training end users: An experimental investigation of the roles
of the computer interface and training methods. MIS Quarterly, 17(1), 61-86.
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.
Gefen, D., & Straub, D.W (2000). The relative importance of perceived ease of use in IS adoption: A
study of e-commerce adoption. Journal of the Association for Information Systems, 1(8), 1-19.
Gefen, D., Straud, D., & Elena, K. (2003). Trust and TAM in online shopping: An integrated model.
MIS Quarterly, 27(1), 51?90.
Gist, M.E., Schwoerer, C., & Rosen, R. (1989). Effects of alternative training methods on selfefficacy
and performance in computer software training. Journal of Applied Psychology, 74(6),
884-891.
Glassberg, B.C. (2000). Individual use of web technology: A reconceptualization and empirical test
of the technology acceptance model. Doctoral dissertation, University of South Carolina, 200.
AAAT 9981254).
Hassan, B. (1998). The influence of computer self-efficacy and outcome expectations on computer
training effectiveness. Doctoral dissertation, The University of Mississippi.
Hendrick, H., & Brown, O. (1984). Human factors in organizational design. Amsterdam: North Holland.
Hong, W., Thong, J.Y., Wong. W., & Tarn, K., (2002), Determinants of user acceptance of digital
libraries, an empirical examinational of individual differences and system characterizes. Journal of
Management Information System, 18, 97-124.
Karahanna, E., and Straub, D.W. (1999). The psychological origins of perceived usefulness and ease
– of – use. Information & Management, 35, 237-250.
Lai, V.S., & Li, H. (2005). Technology acceptance model for internet banking: An invariance
analysis. Information & Management, 42, 373- 386.
Lee, Y., Kozar, K. A., Larsen, K. R. T. (2003). The technology acceptance model: past, present, and
future. Communications of the AIS, 12, 752-780.
Luarn, P., & Lin, H-H. (2005). Toward an understanding of the behavioral intention to use mobile
banking. Computers in Human Behavior, 21(6), 873-891.
Mathieson, K. Peacock, E., & Chin, W.W. (2001). Extending the technology acceptance model: The
influence of perceived user resources. Database for Advances in Information Systems. 32(3), 86 -113.
McCormick, M.J., & Martinko, M.J. (2004). Identifying leader social cognitions: Integrating the
causal reasoning perspective into social cognitive theory. Journal of Leadership & Organizational
Studies, 10(4), 2-12.
Ndubisi, N.O. (2005). Integrating the moderation effect of entrepreneurial qualities into the
technology acceptance model and treatment of potential confounding factors. Journal of
Information and Science Technology, 2(1), 28-48.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, & Pahnila, S. (2004). Consumer acceptance of online
banking: an extension of the technology acceptance model. Internet Research, 14(3), 224-235.
Pinto, J. and S. Mantel (1990). The causes of project failure. IEEE Transactions on Engineering
Management, 37(4), 269-267.
Plouffe, C.R., Holland, J.S., & Vandenbosch, M. (2001). Richness versus parsimony in modeling
technology adoption decisions – Understanding merchant adoption of a smart card-based payment
system. Information Systems Research, 12(2), 208-228.
Prussia, G.E., Anderson, J.S., & Manz, C.C. (1998). Self leadership and performance outcomes: The
mediating influence of self-efficacy. Journal of Organizational Behavior, 19, 523-538.
Shin, D. H. (2007). User acceptance of mobile Internet: Implication for convergence technologies.
Interacting with Computers, 19(4), 472?483.
Tung, L. L., & Rieck, O. (2005). Adoption of electronic government services among business
organizations in Singapore. Journal of Strategic Information Systems, 14, 417?440.
Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic
motivation. MIS Quarterly, 23(2), 239-20.
Venkatesh, V., Morris, M.G., & Davis, G.B. (2003). User acceptance of information technology:
Toward a unified view. MIS Quarterly, 27(30), 425.
Wang, Y-S. Wang, Y-M, Lin H-H, & Tang, T-I. (2003). Determinants of user acceptance of internet
banking: An empirical study. International Journal of Service Industry Management, 14(5), pp.
501-520.