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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=ED558902 |
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Table of Contents:
- Improving Technology Acceptance Modeling for Disadvantaged Communities Using a Systems Engineering Approach Fletcher, Jordan L. Foreign Countries Developing Nations Disadvantaged Information Technology Computer Attitudes Systems Approach Engineering Adoption (Ideas) Models Validity Multiple Regression Analysis Data Analysis Experiments Handheld Devices Internet Innovation Developing nations are poised to spend billions on information and communication technology (ICT) innovation in 2020. A study of the historical adoption of ICT in developing nations has indicated that their adoption patterns do not follow typical technology innovation adoption models. This study addressed the weaknesses found in existing technology acceptance models and proposed a new approach and conceptual model for technology acceptance. The new model integrated the population and technology characteristics factors found in popular technology acceptance models to task and process factors found in other existing models, consistent with System Engineering principles and Information Technology Infrastructure Library frameworks. This study also addressed the weakness in the survey approach by utilizing data from publicly-available industry and economic data sources. The model was validated in two experiments, featuring multiple regression tests against different data sets. The first experiment applied the model to mobile phone technology adoption in 42 nations in Sub-Saharan Africa. The second experiment applied the model to broadband internet adoption by 338 firms in India. The experiments found that technology use by disadvantaged user populations was significantly correlated to relative advantage, technology accessibility, relative cost, and process support infrastructure. The new model and approach should be further validated by future research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]