Why Traditional Technology Acceptance Models Won't Work for Future Information Technologies?
This paper illustrates why existing technology
acceptance models are only of limited use for predicting and
explaining the adoption of future information and communication
technologies. It starts with a general overview over technology
adoption processes, and presents several theories for the acceptance
as well as adoption of traditional information technologies. This is
followed by an overview over the recent developments in the area of
information and communication technologies. Based on the
arguments elaborated in these sections, it is shown why the factors
used to predict adoption in existing systems, will not be sufficient for
explaining the adoption of future information and communication
technologies.
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Ease of Use, and Usage of Information Technology: A Replication. In:
MIS Quarterly, Vol. 16, pp. 227 - 247.
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of Personal Innovativeness in the Domain of Information Technology.
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the Acceptance of New Information Technologies? In: Decision
Sciences, Vol. 30, No. 2, pp. 361 - 391.
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Attitudes, Attitudes, and Perceived Behavioral Control. In: Journal of
Experimental Social Psychology, Vol. 22, pp. 453 - 474.
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Struktur-Wandel. Oldenbourg Verlag, M├╝nchen, Germany, pp. 145 -
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Computer Personnel, Vol. 17, No. 1, pp. 3 - 25.
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Disappearing Computers Everywhere - Living in a World of Smart
Everyday Objects. Paper presented at the Conference on New Media,
Technology and Everyday Life in Europe, London, UK, April 2003.
[12] Bohn, J., Coroama, V., Langheinrich, M., Mattern, F., Rohs, M. (2004).
Living in a World of Smart Everyday Objects - Social, Economic, and
Ethical Implications. In: Journal of Human and Ecological Risk
Assessment, Vol. 10, No. 5, pp. 763 - 786.
[13] Bohn, J., Coroama, V., Langheinrich, M., Mattern, F., Rohs, M. (2005).
Social, Economic, and Ethical Implications of Ambient Intelligence and
Ubiquitous Computing. In: W. Weber, J. Rabaey, E. Aarts (Eds.):
Ambient Intelligence. Springer-Verlag, Heidelberg, pp. 5 - 29.
[14] Burton-Jones, A., Hubona, G. S. (2005). Individual Differences and
Usage Behavior: Revisiting a Technology Acceptance Model
Assumption. In: ACM SIGMIS Database, Vol. 36, No. 2, pp. 58 - 77.
[15] Chang, M. K. (1998). Predicting Unethical Behavior: A Comparison of
the Theory of Reasoned Action and the Theory of Planned Behavior. In:
Journal of Business Ethics, Vol. 17, pp. 1825 - 1834.
[16] Chau, P. Y. K. (1996). An Empirical Assessment of a Modified
Technology Acceptance Model. In: Journal of Management Information
Systems, Vol. 13, No. 2, pp. 185 - 204.
[17] Chau, P. Y. K., Lai, V. S. K. (2003) An Empirical Investigation of the
Determinants of User Acceptance of Internet Banking. In: Journal of
Organizational Computing and Electronic Commerce, Vol. 13, No. 2,
pp. 123 - 145.
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of IT: The Future of Diffusion Research. In: ACM SIGMIS Database,
Vol. 32, No. 3, pp. 7 - 12.
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Use of Structural Equation Modeling in MIS Research: A Note of
Caution. In: MIS Quarterly, Vol. 19, No. 2, pp. 237 - 246.
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Theory to Training for Computer Skills. In: Information Systems
Research, Vol. 6, No. 2, pp. 118 - 143.
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Theory and Individual Reactions to Computing Technology: A
Longitudinal Study. In: MIS Quarterly, Vol. 23, No. 2, pp. 145 - 158.
[22] Cooper, R. B., Zmud, R. W. (1990). Information Technology
Implementation Research: A Technological Diffusion Approach. In:
Management Science, Vol. 36, No. 2, pp. 123 -139.
[23] Davis, F. (1986) A Technology Acceptance Model for Empirically
Testing New End-User Information Systems: Theory and Results.
Doctoral Dissertation, Sloan School of Management, Massachusetts
Institute of Technology.
[24] Davis, R. D., Bagozzi, R. R., Warshaw, P. R. (1989). User Acceptance
of Computer Technology: Comparison of Two Theoretical Models. In:
Management Science, Vol. 35, No. 8, pp. 982 - 1003.
[25] Dishaw, M. T., Strong, D. M. (1998). Assessing Software Maintenance
Tool Utilization Using Task-Technology Fit and Fitness-for-Use
Models. In: Journal of Software Maintenance: Research and Practice,
Vol. 10, No. 3, pp. 151 - 179.
[26] Dishaw, M. T., Strong, D. M. (1998). Supporting Software Maintenance
with Software Engineering Tools: A Computed Task-Technology Fit
Analysis. In: Journal of Systems and Software, Vol. 44, pp. 107 - 120.
[27] Dishaw, M. T., Strong, D. M. (1999). Extending the Technology
Acceptance Model with Task-Technology Fit Constructs. In:
Information and Management, Vol. 36, No. 1, pp. 9 - 21.
[28] Dishaw, M. T., Strong, D. M. (2003). The Effect of Task and Tool
Experience on Maintenance CASE Tool Usage. In: Information
Resources Management Journal, Vol. 16, No. 3, pp. 1 - 16.
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An Introduction to Theory and Research. Addison-Wesley, Reading,
MA, USA.
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Organizational Adoption and Assimilation of Complex Technological
Innovations: Development and Application of a new Framework. In:
ACM SIGMIS Database, Vol. 32, No. 3, pp. 51 - 85.
[31] Gefen, D., Straub, D. (1997). Gender Differences in the Perception and
Use of E-Mail: An Extension to the Technology Acceptance Model. In:
MIS Quarterly, Vol. 21, No. 4, pp. 389 - 400.
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@article{"International Journal of Business, Human and Social Sciences:61342", author = "Carsten Röcker", title = "Why Traditional Technology Acceptance Models Won't Work for Future Information Technologies?", abstract = "This paper illustrates why existing technology
acceptance models are only of limited use for predicting and
explaining the adoption of future information and communication
technologies. It starts with a general overview over technology
adoption processes, and presents several theories for the acceptance
as well as adoption of traditional information technologies. This is
followed by an overview over the recent developments in the area of
information and communication technologies. Based on the
arguments elaborated in these sections, it is shown why the factors
used to predict adoption in existing systems, will not be sufficient for
explaining the adoption of future information and communication
technologies.", keywords = "Technology Diffusion, Technology AcceptanceModels, Ambient Intelligence, Ubiquitous and Pervasive Computing.", volume = "4", number = "5", pages = "550-7", }
