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Exploring technology acceptance for mobile services

机译:探索移动服务的技术接受度

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Purpose: Mobile phone industries are no longer relying on voice services. It is predicted that data services are expected to be a remediation for the declining of average revenue per user (ARPU) in telecommunication market. The purpose of this paper is to find the factors that influence the acceptance/adoption of mobile services.Design/methodology/approach: This paper utilizes quantitative method. Questionnaire were distributed to collect the data. The questionnaires are designed specifically to address the factors related to mobile services. Later on, this paper uses Analytical Hierarchical Process (AHP) and Cluster analysis to identify the factors that influence the adoption of mobile services.Findings: The results show that ease of use and usefulness are top two factors that influence the adoption of mobile services.Research limitations/implications: The sample for the study is relatively small. For future research, the sample should be increased. The data collection should also look into different devices and operating system of mobile phones to find if there is any significant difference in adopting mobile services.Practical implications: This framework is expected to be able to help the mobile services provider to design better mobile services that can attract users to adopt them. Originality/value: This is the follow on research on the previous study that employed different method. This study is to confirm and support the findings from previous study.
机译:目的:手机行业不再依赖语音服务。预计数据服务有望弥补电信市场中每用户平均收入(ARPU)下降的问题。本文的目的是寻找影响移动服务接受/采用的因素。设计/方法/方法:本文采用定量方法。发放问卷以收集数据。问卷是专门为解决与移动服务相关的因素而设计的。随后,本文使用层次分析法(AHP)和聚类分析(Cluster analysis)来确定影响移动服务采用的因素。结果:结果表明,易用性和实用性是影响移动服务采用的两个主要因素。研究的局限性/意义:研究样本相对较小。为了将来的研究,应该增加样本。数据收集还应研究移动电话的不同设备和操作系统,以发现采用移动服务是否有任何显着差异。实际意义:该框架有望帮助移动服务提供商设计更好的移动服务,可以吸引用户采用它们。创意/价值:这是对以前采用不同方法的研究的后续研究。这项研究是为了确认并支持先前研究的结果。

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