The mediation of external variables in the technology acceptance model
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