Business model analysis of mobile traffic safety services

S. Luukkainen, Mikko Karjalainen, Juha Winter, Mehrdad Bagheri Majdabadi
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引用次数: 5

Abstract

Purpose The aim of this paper is to identify promoting and restraining factors of a novel mobile service in the pedestrian safety area. Design/methodology/approach This paper uses the case study methodology that focus on analyzing a specific case of mobile safety services in depth. A case study is especially suitable for an emerging case, such as pedestrian safety, where the aim is to identify relevant influencing factors of the particular case and not to generalize the findings. To gather data for case study analysis, several expert interviews were performed. Because they provided a large volume of data, the Service, Technology, Organization, and Finance business model framework was used as a way of structuring the analysis. Findings The main restraining factors are end-user value proposition, battery life, accuracy of GPS positioning and the revenue model. However, the service could improve traffic safety considerably and it should be introduced first locally in places, where many accidents take place. There is a great interest on driver data, which could be the main advantage for this service in the future. Integration to navigation products would complement the service significantly. Originality/value Current traffic safety-related literature covers mainly technical issues, and there are only few papers related to business model issues on that particular service. Observations of the various factors affecting the related evolution at an early phase of the life-cycle support further service design process.
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移动交通安全服务商业模式分析
本文的目的是找出一种新的移动服务在行人安全领域的促进和制约因素。设计/方法/方法本文采用案例研究方法,重点分析了移动安全服务的具体案例。个案研究特别适用于新出现的个案,例如行人安全,其目的是确定个案的相关影响因素,而不是概括研究结果。为了收集案例分析的数据,进行了几次专家访谈。因为它们提供了大量的数据,所以服务、技术、组织和财务业务模型框架被用作构建分析的一种方式。主要制约因素为终端用户价值主张、电池寿命、GPS定位精度和收益模式。然而,这项服务可以大大提高交通安全,它应该首先在事故多发的地方引入。人们对司机数据非常感兴趣,这可能是这项服务未来的主要优势。与导航产品的集成将大大补充该服务。目前与交通安全相关的文献主要涉及技术问题,而与该特定服务的商业模式问题相关的论文很少。在生命周期的早期阶段观察影响相关演变的各种因素,可以支持进一步的服务设计过程。
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