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Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment

机译:预测移动服务中的消费者接受度:来自实验性最终用户环境的经验证据

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摘要

This paper studies consumer acceptance of mobile services. The theoretical framework of the study is based on extended Technology Acceptance Model (TAM). The empirical part of the study was conducted in an experimental mobile service environment, SmartRotuaari, which was developed in the University of Oulu's Rotuaari research project. SmartRotuaari is operational at the city centre of Oulu in Northern Finland. Our results show that usefulness, user guidance and support, and user skills are significant factors in explaining the acceptance of mobile services. We also found that usefulness and user-satisfaction are significant predictors of the willingness to recommend the services to others.
机译:本文研究了消费者对移动服务的接受程度。该研究的理论框架基于扩展的技术接受模型(TAM)。该研究的经验部分是在奥卢大学Rotuaari研究项目中开发的实验移动服务环境SmartRotuaari中进行的。 SmartRotuaari在芬兰北部奥卢市中心运营。我们的结果表明,有用性,用户指导和支持以及用户技能是解释接受移动服务的重要因素。我们还发现,有用性和用户满意度是向他人推荐服务意愿的重要预测指标。

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