The mediation of external variables in the technology acceptance model

Information & Management - Tập 43 - Trang 706-717 - 2006
Andrew Burton-Jones1, Geoffrey S. Hubona2
1MIS Division, Sauder School of Business, University of British Columbia, Vancouver, BC, Canada V6T 1Z2
2Department of Computer Information Systems, J. Mack Robinson College of Business Administration, Georgia State University, Atlanta, GA 30303, USA

Tài liệu tham khảo

Adams, 1992, Perceived usefulness, ease of use, and usage of information technology: a replication, MIS Quarterly, 16, 227, 10.2307/249577 Agarwal, 1999, Are individual differences germane to the acceptance of new information technologies?, Decision Sciences, 30, 361, 10.1111/j.1540-5915.1999.tb01614.x Agarwal, 2000, Individual acceptance of information technologies, 85 Ajzen, 1985, From intentions to actions: a theory of planned behavior, 11 Ajzen, 1991, The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50, 179, 10.1016/0749-5978(91)90020-T Ajzen, 2002, Residual effects of past on later behavior: habituation and reasoned action perspectives, Personality and Social Psychology Review, 6, 107, 10.1207/S15327957PSPR0602_02 Ashcraft, 2002 Bandura, 1977 Barron, 1986, The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations, Journal of Personality and Social Psychology, 51, 1173, 10.1037/0022-3514.51.6.1173 Berthon, 2002, Potential research space in MIS: a framework for envisioning and evaluating research replication, extension, and generation, Information Systems Research, 13, 416, 10.1287/isre.13.4.416.71 Brigman, 2002, Age and skilled performance: contributions of working memory and processing speed, Brain and Cognition, 50, 242, 10.1016/S0278-2626(02)00510-9 Burton-Jones, 2005, Individual differences and usage behavior: revisiting a technology acceptance model assumption, The DATA BASE for Advances in Information Systems., 36, 58, 10.1145/1066149.1066155 Chau, 2002, Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories, Information & Management, 39, 297, 10.1016/S0378-7206(01)00098-2 Chin, 1995, On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution, MIS Quarterly, 19, 237, 10.2307/249690 Chin, 2001 Compeau, 1999, Social cognitive theory and individual reactions to computing technology: a longitudinal study, MIS Quarterly, 23, 145, 10.2307/249749 Davis, 1989, Perceived usefulness, perceived ease of use, and end user acceptance of information technology, MIS Quarterly, 13, 318, 10.2307/249008 Davis, 1989, User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35, 982, 10.1287/mnsc.35.8.982 Davis, 1993, User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, International Journal of Man–Machine Studies, 38, 475, 10.1006/imms.1993.1022 Davis, 1990, The effect of training techniques and personal characteristics on training end users of information systems, Journal of Management Information Systems, 7, 93, 10.1080/07421222.1990.11517891 DeLone, 2003, The DeLone and McLean model of information systems success: a ten-year review, Journal of Management Information Systems, 19, 9, 10.1080/07421222.2003.11045748 Dishaw, 1999, Extending the technology acceptance model with task–technology fit constructs, Information & Management, 36, 9, 10.1016/S0378-7206(98)00101-3 Doll, 1999, Using Davis's perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multigroup invariance analysis, Decision Sciences, 29, 839, 10.1111/j.1540-5915.1998.tb00879.x Egan, 1985, Assaying, isolating, and accommodating individual differences in learning a complex skill Fishbein, 1975 Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 39, 10.2307/3151312 Gomez, 1986, Learning to use a text editor: some learner characteristics that predict success, Human Computer Interaction, 2, 1, 10.1207/s15327051hci0201_1 Hackbarth, 2003, Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use, Information & Management, 40, 221, 10.1016/S0378-7206(02)00006-X Harrison, 1992, The influence of individual differences on skill in end-user computing, Journal of Management Information Systems, 9, 93, 10.1080/07421222.1992.11517949 Hartwick, 1994, Explaining the role of user participation in information system use, Management Science, 40, 440, 10.1287/mnsc.40.4.440 Hong, 2001, Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics, Journal of Management Information Systems, 18, 97, 10.1080/07421222.2002.11045692 Hu, 1999, Examining the technology acceptance model using physician acceptance of telemedicine technology, Journal of Management Information Systems, 16, 91, 10.1080/07421222.1999.11518247 Igbaria, 1989, A path analytic study of individual characteristics, computer anxiety, and attitudes towards microcomputers, Journal of Management, 15, 373, 10.1177/014920638901500302 Igbaria, 1995, Testing the determinants of microcomputer usage via a structural equation model, Journal of Management Information Systems, 11, 87, 10.1080/07421222.1995.11518061 Igbaria, 1997, Personal computing acceptance factors in small firms: a structural equation model, MIS Quarterly, 21, 279, 10.2307/249498 Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23, 183, 10.2307/249751 Karahanna, 2000, E-mail and V-mail usage: generalizing across technologies, Journal of Organizational Computing and Electronic Commerce, 10, 49, 10.1207/S15327744JOCE100103 Legris, 2003, Why do people use information technology? A critical review of the technology acceptance model, Information & Management, 40, 191, 10.1016/S0378-7206(01)00143-4 Lucas, 1978, Empirical evidence for a descriptive model of implementation, MIS Quarterly, 2, 27, 10.2307/248939 Majchrzak, 1988, A longitudinal study of adjustment to technological change: from mass to computer-automated batch production, Journal of Occupational Psychology, 61, 43, 10.1111/j.2044-8325.1988.tb00271.x Mathieson, 2001, Extending the technology acceptance model: the influence of perceived user resources, The DATA BASE for Advances in Information Systems, 32, 86, 10.1145/506724.506730 Meister, 2002, Infusion of innovation adoption: an individual perspective Morris, 2000, Age differences in technology adoption decisions: implications for a changing workforce, Personnel Psychology, 53, 375, 10.1111/j.1744-6570.2000.tb00206.x Nickel, 1986, The computer attitude scale, Computers in Human Behavior, 2, 301, 10.1016/0747-5632(86)90010-5 Orlikowski, 2000, Using technology and constituting structures: a practice lens for studying technology in organizations, Organization Science, 11, 404, 10.1287/orsc.11.4.404.14600 Oullette, 1998, Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior, Psychological Bulletin, 124, 54, 10.1037/0033-2909.124.1.54 Ravichandran, 2000, Quality management in systems development: an organizational system perspective, MIS Quarterly, 24, 381, 10.2307/3250967 Ronis, 1989, Attitudes, decisions, and habits as determinants of repeated behavior, 213 Segars, 1993, Re-examining perceived ease of use and usefulness: a confirmatory factor analysis, MIS Quarterly, 18, 517, 10.2307/249590 Singley, 1979, The transfer of text editing skill, International Journal of Man–Machine Studies, 22, 403, 10.1016/S0020-7373(85)80047-X Skinner, 1969 Straub, 1995, Measuring system usage: implications for IS theory testing, Management Science, 41, 1328, 10.1287/mnsc.41.8.1328 Szajna, 1996, Empirical evaluation of the revised technology acceptance model, Management Science, 42, 85, 10.1287/mnsc.42.1.85 Taylor, 1995, Assessing IT usage: the role of prior experience, MIS Quarterly, 19, 561, 10.2307/249633 Taylor, 1995, Understanding information technology usage: a test of competing models, Information Systems Research, 6, 144, 10.1287/isre.6.2.144 Thompson, 1991, Towards a conceptual model of utilization, MIS Quarterly, 15, 125, 10.2307/249443 Venkatesh, 1999, Creation of favorable user perceptions: exploring the role of intrinsic motivation, MIS Quarterly, 23, 239, 10.2307/249753 Venkatesh, 2000, Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model, Information Systems Research, 11, 342, 10.1287/isre.11.4.342.11872 Venkatesh, 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, 115, 10.2307/3250981 Venkatesh, 2000, A longitudinal field investigation of gender differences in individual technology adoption decision-making processes, Organizational Behavior and Human Decision Processes, 83, 33, 10.1006/obhd.2000.2896 Venkatesh, 2003, User acceptance of information technology: toward a unified view, MIS Quarterly, 27, 425, 10.2307/30036540 Verplanken, 1998, Habit versus planned behavior: a field experiment, British Journal of Social Psychology, 27, 539 Yoo, 2001, Media and group cohesion: relative influences on social presence, task participation, and group consensus, MIS Quarterly, 25, 371, 10.2307/3250922 Zmud, 1979, Individual differences and MIS success: a review of the empirical literature, Management Science, 25, 966, 10.1287/mnsc.25.10.966