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Click and drive Consumer attitude to product development: Towards future transformations of the driving experience

机译:Click and drive消费者对产品开发的态度:朝着驾驶体验的未来转变

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摘要

Purpose - The purpose of this paper is to supply indications that may be useful in the process of development of new products that fully exploit the value potential of Internet of Things (IoT) technologies in the automotive industry. To this aim, the authors investigate how applications of the IoT to smart vehicles are perceived by consumers and describe different ways to increase their satisfaction. Design/methodology/approach - After a literature review focused on IoT and consumer behaviour in the automotive industry, the authors apply the Kano model to find the drivers for achieving customer satisfaction with new product developments in smartcars. Findings - Automotive companies need to consider what is attractive to drivers and what consumers consider to be "driver-friendly". Using an empirical analysis, the authors highlight the motivations for developing a smartcar to fits the expectation of Italian drivers. Research limitations/implications - While the global framework given by this paper can be useful in all contexts, the empirical part is based on the Italian consumer. Further research may extend the application of the model to other countries to improve the generalizability of the results. Practical implications - This study supplies an analysis of qualitative data that may prove useful to researchers and managers in planning their strategic and operative activities with the aim of improving the development of IoT-related products in the automotive industry. Originality/value - This paper fulfils the need for an original research framework that sheds light on relevant insights and gives useful hints on the development of IoT technologies in the automotive sector.
机译:目的-本文的目的是提供在新产品开发过程中可能有用的指示,这些新产品在汽车工业中充分利用了物联网(IoT)技术的潜在价值。为此,作者调查了消费者如何感知物联网在智能车辆上的应用,并描述了提高满意度的不同方法。设计/方法/方法-在针对汽车行业中的物联网和消费者行为的文献综述之后,作者应用Kano模型来寻找驱动因素,以实现客户对智能汽车新产品开发的满意度。调查结果-汽车公司需要考虑哪些因素对驾驶员有吸引力,以及哪些消费者认为“驾驶员友好”。通过实证分析,作者强调了开发智能汽车以符合意大利驾驶员期望的动机。研究的局限性/意义-尽管本文给出的全球框架在所有情况下都可能有用,但实证部分基于意大利消费者。进一步的研究可能会将模型的应用扩展到其他国家,以提高结果的可推广性。实际意义-这项研究提供了定性数据分析,可能对研究人员和管理人员在计划其战略和运营活动时有用,以改善汽车工业中与IoT相关的产品的开发。原创性/价值-本文满足了对原始研究框架的需求,该框架阐明了相关见解,并为汽车领域IoT技术的发展提供了有用的提示。

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