Using technology acceptance theory to model individual differences in tax software use

15th Americas Conference on Information Systems 2009, AMCIS 2009

Volumn 10, Issue , 2009, Pages 6998-7008

  McLeod, Alexander ^a   Pippin, Sonja ^a   Catania, Vittoria ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

Novices; Privacy; Professionals; Risk; Tax software; Technology acceptance model; UTAUT

Indexed keywords

BUSINESS ORGANIZATIONS; COMPLEX DOMAINS; INDIVIDUAL DIFFERENCES; NOVICES; PRIVACY CONCERNS; PROFESSIONALS; SOCIAL INFLUENCE; SOFTWARE USE; TAX-PREPARATION SOFTWARE; TECHNOLOGY ACCEPTANCE; TECHNOLOGY ACCEPTANCE MODEL; UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY; UTAUT;

DATA PRIVACY; INFORMATION SYSTEMS; RISKS; TAXATION;

TECHNOLOGY;

EID: 84870316435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. AbuShanab, E. and J. M. Pearson (2007) Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective, Journal of Systems and Information Technology, 9, 1, 78-97.
2. Bandyopadhyah, K. and K. Fraccastoro (2007) The Effect of Culture on User Acceptance of Information Technology, Communications of the AIS, 19, 522-543.
3. Chang, I. C., Y. C. Li, W. F. Hung and H. G. Hwang (2005) An empirical study on the impact of quality antecedents on tax payers' acceptance of Internet tax-filing systems, Government Information Quarterly, 22, 3, 389-410.
4. Chellappa, R. K. and P. A. Pavlou (2002) Perceived information security, financial liability and consumer trust in electronic commerce transactions, Logistics Information Management, 15, 5/6, 358-368.
5. Chellappa, R. K. and R. G. Sin (2005) Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma, Information Technology and Management, 6, 2, 181-202.
6. Chin, W. W. (1998a) Issues and Opinion on Structural Equation Modeling, Management Information Systems Quarterly, 22, 1, 7-16.
7. Chin, W. W. (1998b) The partial least squares approach to structural equation modeling, Modern Methods for Business Research, 295, 336.
8. Chin, W. W., B. L. Marcolin and P. R. Newsted (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, 2, 189-217.
9. Chiu, C. M. and E. T. G. Wang (2008) Understanding Web-based learning continuance intention: The role of subjective task value, Information & Management, 45, 3, 194-201.
10. Creswell, J. W. (2003) Research Design: Qualitative, Quantitative and Mixed Methods Approaches, Sage Publications, Thousand Oaks, CA.
11. Davis, F. D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13, 3, 319-340.
12. Devolder, P., B. Pynoo, P. Duyck and B. Sijnave (2008) Personality, Technology Belief Contexts and Acceptance: Framework and Empirical Testing in (Eds.) International Conference on Information Systems, Paris, France.
13. Fu, J. R., C. K. Farn and W. P. Chao (2006) Acceptance of electronic tax filing: a study of taxpayer intentions, Information & Management, 43, 1, 109-26.
14. Gefen, D. and D. Straub (2005) A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example, Communications of the Association for Information Systems, 16, 91-109.
15. Gefen, D., D. W. Straub and M. C. Boudreau (2000) Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of the Association for Information Systems, 4, 7, 1-77.
16. Nicolaou, A. and H. McKnight (2006) Perceived Information Quality in Data Exchanges: Effect on Risk, Trust and Intention to Use, Information Systems Research, 17, 4, 332-351.
17. Ringle, C. M., S. Wende and S. Will (2005) SmartPLS 2.0 (M3) Beta.
18. Venkatesh, V. and F. D. Davis (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 46, 2, 186-204.
19. Venkatesh, V., M. Morris, G. Davis and F. Davis (2003) User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27, 3, 425-478.
20. Wacker, J. G. (2008) A Conceptual Understanding of Requirements for Theory Building Research: Guidelines for Scientific Theory Building, Journal of Supply Chain Management, 44, 3, 5-15.
21. Wang, Y. (2003) The Adoption of Electronic Tax Filing Systems: An Empirical Study, Government Information Quarterly, 20, 4, 333-352.
22. Yi, M. Y. and F. D. Davis (2003) Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition, Information Systems Research, 14, 2, 146-169.