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Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics

机译:使用技术接受模型来解释态度如何确定Internet使用率:感知的访问障碍和人口统计学的作用

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Despite the fact that most Americans use the Internet, those who are older, less educated, minority and lower income have lower usage rates than younger, highly educated, white and wealthier individuals. We develop and test an extended version of the technology acceptance model (TAM) to explain these differences. We found that age, education, income and race are associated differentially with beliefs about the Internet, and that these beliefs influence a consumer's attitude toward and use of the Internet. Further, we found that although access barriers have a significant effect in the model, perceptions regarding ease of use and usefulness have a stronger effect. Our results suggest that by extending the TAM, to include perceived access barriers helps to explain demographic-based differences in Internet use. We also provide key insights for both managers and policymakers.
机译:尽管事实上大多数美国人都使用互联网,但年龄较大,受教育程度较低,少数民族和收入较低的人的使用率低于年轻,受过高等教育的白人和较富裕的人。我们开发并测试技术接受模型(TAM)的扩展版本以解释这些差异。我们发现年龄,教育程度,收入和种族与对互联网的信念有不同的关联,并且这些信念会影响消费者对互联网的态度和使用。此外,我们发现尽管访问障碍在模型中具有显着影响,但有关易用性和实用性的感知却具有更强的影响。我们的结果表明,通过扩展TAM,以包括可感知的访问障碍,有助于解释基于人口统计学的互联网使用差异。我们还为管理者和决策者提供重要见解。

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