Examining technology acceptance by school teachers: a longitudinal study

Chief Executive Policy Address, The Chief Executive of the HKSAR Government, 1997, http://www.info.gov.hk/ce/speech/cesp00.htm. A. Abbot, The Systems of Professionals: An Essay on the Division of Expert Labor, University of Chicago Press, Chicago, IL, 1988. Agarwal, 2000, Research report: the evolving relationship between general and specific computer efficacy—an empirical assessment, Information Systems Research, 11, 418, 10.1287/isre.11.4.418.11876 Ajzen, 1991, The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50, 179, 10.1016/0749-5978(91)90020-T I. Ajzen, M. Fishbein, Understanding Attitudes and Predicting Social Behaviors, Prentice-Hall, Englewood Cliffs, NJ, 1980. Alavi, 1994, Computer-mediated collaborative learning: an empirical evaluation, Management Information Systems Quarterly, 18, 159, 10.2307/249763 Alavi, 1997, Using information technology to add value to management education, Academy of Management Review, 40, 1310, 10.2307/257035 Attewell, 1992, Technology diffusion and organization learning: the case of business computing, Organization Science, 3, 1, 10.1287/orsc.3.1.1 Bandura, 1977, Self-efficacy: toward a unifying theory of behavioral change, Psychological Review, 84, 191, 10.1037/0033-295X.84.2.191 Bandura, 1982, Self-efficacy mechanism in human agency, American Psychologies, 37, 122, 10.1037/0003-066X.37.2.122 K.A. Bollen, Structural Equations with Latent Variables, Wiley, New York, NY, 1989. Chang, 2001, Determinants of the intention to use Internet/WWW at work: a confirmatory study, Information and Management, 39, 1, 10.1016/S0378-7206(01)00075-1 Chau, 1996, An empirical investigation on factors affecting the acceptance of CASE by systems developers, Information and Management, 30, 269, 10.1016/S0378-7206(96)01074-9 Chau, 2002, Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories, Information and Management, 39, 297, 10.1016/S0378-7206(01)00098-2 Compeau, 1995, Computer self-efficacy: development of a measure and initial test, Management Information Systems Quarterly, 19, 189, 10.2307/249688 Compeau, 1999, Social cognitive theory and individual reactions to computing technology: a longitudinal study, Management Information Systems Quarterly, 23, 145, 10.2307/249749 Cooper, 1990, Information technology implementation research: a technology diffusion approach, Management Science, 34, 123, 10.1287/mnsc.36.2.123 F.D. Davis, A technology acceptance model for empirically testing new end-user information systems: theory and results, Doctoral dissertation, MIT Sloan School of Management, Cambridge, MA, 1986. Davis, 1989, User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35, 982, 10.1287/mnsc.35.8.982 Dishaw, 1999, Extending the technology acceptance model with task–technology fit constructs, Information and Management, 36, 9, 10.1016/S0378-7206(98)00101-3 M. Fishbein, I. Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975. Goodhue, 1995, Task–technology fit and individual performance, Management Information Systems Quarterly, 19, 213, 10.2307/249689 P. Keen, Shaping the Future: Business Design Through Information Technology, Harvard Business School Press, Boston, MA, 1991. U.E. Gattiker, in: H. Hendrick, O. Brown (Eds.), Managing Computer-Based Office Information Technology: A Process Model for Management in Human Factors in Organizational Design, North-Holland, Amsterdam, The Netherlands, 1984. Gilbert, 1996, Making the most of a slow revolution, Change, 27, 46 Hartwick, 1994, Hypothesis testing and hypothesis generating research: an example from the user participation literature, Information Systems Research, 5, 446, 10.1287/isre.5.4.446 J. Healy, Failure to Connect: How Computers Affect Our Children’s Minds and What Do We Do About It, Simon & Schuster, New York, NY, 1998. S.R. Hiltz, The Virtual Classroom: Learning Without Limits via Computer Networks, Human–Computer Interaction Series, Ablex, Norwood, NJ, 1994. Hong, 2002, 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 R.H. Hoyle, Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, 1995. 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 Hu, 2002, Adoption of telemedicine technology in healthcare organizations: an exploratory study, Journal of Organizational Computing and Electronic Commerce, 12, 179, 10.1207/S15327744JOCE1203_01 Igbaria, 1997, Personal computing acceptance factors in small firms: a structural equation model, Management Information Systems Quarterly, 21, 79, 10.2307/249498 Igbaria, 1997, The consequences of information technology acceptance on subsequent individual performance, Information and Management, 32, 113, 10.1016/S0378-7206(97)00006-2 Johnson, 2000, Research report: the role of behavior modeling in computer skill acquisition—toward refinement of the model, Information Systems Research, 11, 402, 10.1287/isre.11.4.402.11869 D. Jonassen, K. Peck, B. Wilson, Learning with Technology: A Constructivist Perspective, Prentice-Hall, Englewood Cliffs, NJ, 1999. Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, Management Information Systems Quarterly, 23, 183, 10.2307/249751 Karahanna, 1999, The psychological origins of perceived usefulness and ease-of-use, Information and Management, 35, 237, 10.1016/S0378-7206(98)00096-2 Keil, 1995, Usefulness and ease of use: field study evidence regarding task considerations, Decision Support Systems, 13, 75, 10.1016/0167-9236(94)E0032-M Legris, 2003, Why do people use information technology? A critical review of the technology acceptance model, Information and Management, 40, 191, 10.1016/S0378-7206(01)00143-4 Lucus, 2000, Implementation in a world of workstations and networks, Information and management, 38, 119, 10.1016/S0378-7206(00)00059-8 Mathieson, 1991, Predicting user intention: comparing the technology acceptance model with theory of planned behavior, Information Systems Research, 2, 173, 10.1287/isre.2.3.173 McKendree, 1998, Why observing a dialogue may benefit learning, Journal of Computer Assisted Learning, 14, 110, 10.1046/j.1365-2729.1998.1420110.x Mehrtens, 2001, A model of Internet adoption by SMEs, Information and Management, 39, 165, 10.1016/S0378-7206(01)00086-6 Moon, 2001, Extending the TAM for a World-Wide-Web context, Information and Management, 38, 217, 10.1016/S0378-7206(00)00061-6 Moore, 1991, Development of an instrument to measure the perception of adopting an information technology innovation, Information Systems Research, 2, 192, 10.1287/isre.2.3.192 Morrison, 1998, The impacts of presentation visuals on persuasion, Information and Management, 33, 25, 10.1016/S0378-7206(97)00041-4 Nelson, 1990, Individual adjust to information-driven technologies: a critical review, Management Information Systems Quarterly, 14, 79, 10.2307/249311 J.C. Nunnally, I.H. Bernstein, Psychometric Theory, McGraw-Hill, New York, NY, 1994. Ramiller, 1994, Perceived compatibility of information technology innovations among secondary adopters: toward a reassessment, Journal of Engineering and Technology Management, 11, 1, 10.1016/0923-4748(94)90022-1 Riemenschneider, 2003, Understanding IT adoption decisions in small business: integrating current theories, Information and Management, 40, 269, 10.1016/S0378-7206(02)00010-1 Sheppard, 1988, The theory of reasoned action: a meta-analysis of past research with recommendation for modifications and future research, Journal of Consumer Research, 15, 325, 10.1086/209170 Straub, 1989, Validating instruments in MIS research, Management Information Systems Quarterly, 13, 147, 10.2307/248922 Straub, 1997, Testing the technology acceptance model across cultures: a three country study, Information and Management, 33, 1, 10.1016/S0378-7206(97)00026-8 Taylor, 1995, Understanding information technology usage: a test of competing models, Information Systems Research, 6, 144, 10.1287/isre.6.2.144 Taylor, 1995, Assessing IT usage: the role of prior experience, Management Information Systems Quarterly, 19, 561, 10.2307/249633 Tornatzky, 1982, Innovation characteristics and innovation adoption implementation: a meta-analysis of findings, IEEE Transactions on Engineering Management, 29, 28, 10.1109/TEM.1982.6447463 Venkatesh, 1999, Creation of favorable user perceptions: exploring the role of intrinsic motivation, Management Information Systems 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, 1996, A model of the perceived ease of use development and test, Decision Sciences, 27, 451, 10.1111/j.1540-5915.1996.tb01822.x Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal studies, Management Science, 46, 186, 10.1287/mnsc.46.2.186.11926