A Theoretical Integration of User Satisfaction and Technology Acceptance

References

• Agarwal R., Prasad J. The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sci. (1997) 28(3):557–582Crossref, Google Scholar
• Ajzen I. Nature and operation of attitudes. Annual Rev. Psych. (2001) 52:27–58Crossref, Google Scholar
• Ajzen I., Fishbein M.Understanding Attitudes and Predicting Social Behavior (1980) (Prentice-Hall, Englewood Cliffs, NJ) Google Scholar
• Ajzen I., Fishbein M., Albarracín D., Johnson B. T., Zanna M. P. In press. The influence of attitudes on behavior. Handbook of Attitudes and Attitude Change: Basic Principles(Erlbaum, Mahwah, NJ) Google Scholar
• Bailey J. E., Pearson S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Sci. (1983) 29(5):530–545Link, Google Scholar
• Barclay D., Higgins C., Thompson R. The partial least squares approach to causal modeling, personal computing adoption and use as an illustration. Tech. Stud. (1995) 2(2):285–309Google Scholar
• Baroudi J., Orlikowski W. A short-form measure of user information satisfaction: A psychometric evaluation and notes on use. J. MIS (1988) 4(4):44–59Google Scholar
• Benbasat I., Zmud R. The identity crisis within the IS discipline: Defining and communicating the discipline’s Coir properties. MIS Quart. (2003) 27(2):183–194Crossref, Google Scholar
• Chin W. W. Issues and opinions on structural equation modeling. MIS Quart. (1998) 22(1):vii–xviGoogle Scholar
• Chin W. W., Frye T. A. PLS Graph. 2.91.03.04. (1996) (Department of Decision and Information Systems, University of Houston, Houston, TX) Google Scholar
• Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. (1989) 13(3):319–339Crossref, Google Scholar
• Davis F. User acceptance of information technology: Systems characteristics, user perceptions and behavioral impact. Internat. J. Man-Machine Stud. (1993) 38:475–487Crossref, Google Scholar
• Davis F. D., Bagozzi R. P., Warshaw P. R. User acceptance of computer technology: A comparison of two theoretical models. Management Sci. (1989) 35(8):982–1003Link, Google Scholar
• DeLone W. H., McLean E. R. Information systems success: The quest for the dependent variable. Inform. Systems Res. (1992) 3(1):60–95Link, Google Scholar
• Doll W. J., Torkzadeh G. The measure of end-user computing satisfaction. MIS Quart. (1988) 12(2):259–274Crossref, Google Scholar
• Eagly A. H., Chaiken S.The Psychology of Attitudes (1993) (Thomson Wadsworth, Belmont, CA) Google Scholar
• Eckerson W. W. Data quality and the bottom lone. The Data Warehousing Institute Report Series (2002) (101 Communications, LLC) Google Scholar
• Fazio R. H., Olson M. A., Hogg M. A., Cooper J. Attitudes: Foundation, function and consequences. The Sage Handbook of Social Psychology (2003) (Sage, London, UK) Google Scholar
• Fishbein M., Ajzen I.Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research (1975) (Addison-Wesley, Reading, MA) Google Scholar
• Fornell C., Larcker D. F. Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res. (1981) 18:39–50Crossref, Google Scholar
• Galletta D. F., Lederer A. L. Some cautions on the measurement of user information satisfaction. Decision Sci. (1989) 20(3):419–439Crossref, Google Scholar
• Gefen D., Straub D. Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quart. (1997) 21(4):389–400Crossref, Google Scholar
• Goodhue D. L. IS attitudes: Toward theoretical and definitional clarity. Database Adv. Inform. Systems (1988) 19(3/4):6–15Crossref, Google Scholar
• Haddock G., Zanna M. P., Stroebe W., Hewstone M. Cognition, affect, and the prediction of social attitudes. Eur. Rev. Soc. Attitudes (1999) 10:75–99Crossref, Google Scholar
• Hartwick J., Barki H. Explaining the role of user participation in information system use. Management Sci. (1994) 40(4):440–465Link, Google Scholar
• Hong W., Thong J., Wong W.-M., Tam K.-Y. Determinants of user acceptance of digital libraries: An empirical examination of individual differences and systems characteristics. J. MIS (2001/2002) 18(3):97–124Google Scholar
• Igbaria M., Guimaraes T., Davis G. B. Testing the determinants of microcomputer usage via a structural equation model. J. MIS (1995) 11(4):87–115Google Scholar
• Ives B., Olson M. H., Baroudi J. J. The measurement of user information satisfaction. Comm. ACM (1983) 26(10):785–793Crossref, Google Scholar
• Karahanna E., Straub D. W., Chervany N. L. Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quart. (1999) 23(2):183–213Crossref, Google Scholar
• Kraus . Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality Soc. Psych. Bull. (1995) 21:58–75Crossref, Google Scholar
• Lim K. H., Benbasat I. The effect of multimedia on perceived equivocality and perceived usefulness of information systems. MIS Quart. (2000) 24(3):449–471Crossref, Google Scholar
• Lohmoller Jan-Bernd. Latent Variable Path Modeling with Partial Least Squares (1989) (Physica-Verlag, Heidelberg, Germany) Crossref, Google Scholar
• Mathieson K., Peacock E., Chin W. W. Extending the technology acceptance model: The influence of perceived user resources. Database Adv. Inform. Systems (2001) 32(3):86–113Crossref, Google Scholar
• Melone N. A theoretical assessment of the user-satisfaction construct in information systems research. Management Sci. (1990) 36(1):76–91Link, Google Scholar
• Moore G., Benbasat I. Development of an instrument to measure the perceptions of adopting and information technology innovation. Inform. Systems Res. (1991) 2(3):192–222Link, Google Scholar
• Nunnally J. C.Psychometric Theory (1978) (McGraw-Hill, New York) Google Scholar
• Orlikowski W. J., Iacono C. S. Research commentary: Desperately seeking the “IT” in IT research—A call to theorizing the IT artifact. Inform. Systems Res. (2001) 2(12):121–134Link, Google Scholar
• Plouffe C. R., Hulland J., Vandenbosch M. Research report: Richness versus parsimony in modeling technology adoption decisions: Understanding merchant adoption of a smart card–based payment system. Inform. Systems Res. (2001) 12(2):208–222Link, Google Scholar
• Seddon P. A respecification and extension of the DeLone and McLean model of IS success. Inform. Systems Res. (1997) 8(3):240–253Link, Google Scholar
• Szajna B. Empirical evaluation of the revised technology acceptance model. Management Sci. (1996) 42(1):85–92Link, Google Scholar
• Taylor S., Todd P. A. Understanding information technology usage: A test of competing models. Inform. Systems Res. (1995) 6(2):144–176Link, Google Scholar
• Venkatesh V., Morris M. G. Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quart. (2000) 24:115–139Crossref, Google Scholar
• Venkatesh V., Morris M., Davis G., Davis F. User acceptance of information technology: Toward a unified view. MIS Quart. (2003) 27(3):425–478Crossref, Google Scholar
• Wold H., Joreskog K.Systems Under Indirect Observation: Causality, Structure, Prediction (1982) (North-Holland, Amsterdam, The Netherlands) Google Scholar