Abstract
Whether or not ICT represents the most important vehicle to transform the society seems to be out of discussion. The point of interest diverts from how people do really feel with these services and from the way they perceive the advantages as acceptable to improve the quality of life and work. It is matter of fact that the technical innovation is characterized by a certain risk, the problem of how to implement the technology for sure and, ahead of this phase, the problem of predicting its influence on the social, working and private life in view of the high costs effort to produce. This study applies a predictive model for the acceptance to a services integrated home environment properly set-up in a special laboratory. A class of users was selected from the employees of the company which hosted the trial in order to participate at the evaluation sessions. The tasks were designed to point out the main innovative features of the services presented. The questionnaires were suitably designed and submitted to collect the end-users opinions. Statistical analysis was carried out to assess the performance by the side of the real users and to predict their intentions of use. Finally both correlation and regression studies found out how the model predictors may respectively influence the acceptance of the ICT solutions proposed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ePerSpace No.IST-506775 Home Page, http://www.ist-eperspace.org/
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly 27(3), 425–478 (2003)
Eason, K.: Information technology and organisational change. Taylor & Francis, Abington (1988)
Cornacchia, M.: Usability, a way to distinguish from the good, the bad, and the irrelevant in the web. In: Cost 269, Conference Proceedings, Media Centre Lume, University of Art and Design, Helsinki (Finland), pp. 159–163 (2003)
Malhotra, Y., Galletta, D.F.: Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. In: Proceedings of the 32th Hawaii International Conference on System Sciences (IEEE 1999) (1999)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46(2), 186–204 (2000)
Ajzen, I.: The directive influence of attitudes on behavior. In: Gollwitzer, P., Bargh, J.A. (eds.) Psychology of action, pp. 385–403. Guilford, New York (1996)
Bandura, A.: Social Foundation of Thought and Action: A Social Cognitive Theory. Prentice Hall, Englewood Cliffs (1986)
Bagozzi, R.P., Davis, F.D., Warshaw, P.R.: Development and test of a theory of technological learning and usage. Human Relations 45(7), 660–686 (1992)
Compeau, D.R., Higgins, C.A., Huff, S.: Social Cognitive Theory and Individual Reactions to Computing Technology: a Longitudinal Study. MIS Quarterly 23(1), 145–158 (1999)
Pierro, A., Mannetti, M., Livi, S.: Self-Identity and the Theory of Planned Behavior in the Prediction of Health Behavior and Leisure Activity. Self and Identity 2, 47–60 (2003)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Quarterly 13(3), 319–340 (1989)
Ajzen, I., Fishbein, M.: Understanding attitudes and predicting social behaviour. Prentice-Hall, Eaglewood Cliffs (1980)
Venkatesh, V., Davis, F.D.: Measuring User Acceptance of Emerging Technologies: An Assessment of Possible Method Biases. In: Proceedings of the 28th Annual Hawaii International Conference on System Sciences (IEEE 1995) (1995)
SUMI: Software Usability Measurements Inventory (7.38). Human Factors Research Group, Cork, Ireland (1998)
Perugini, M., Gallucci, M., Livi, S.: Looking for a Simple Big Five Factorial Structure in the Domain of Adjectives. European Journal of Psychological Assessment 16(2), 87–97 (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cornacchia, M., Baroncini, V., Livi, S. (2008). Predicting the Influence of Emerging Information and Communication Technologies on Home Life. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2007. Lecture Notes in Business Information Processing, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68262-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-68262-2_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68257-8
Online ISBN: 978-3-540-68262-2
eBook Packages: Computer ScienceComputer Science (R0)