Knowledge Requirements for Sustainable Smart Service Design

J. M. V. Cedeño, L. Hannola, V. Ojanen
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引用次数: 3

Abstract

Recent research have addressed the topic of smart services from distinct angles, covering both technical and business aspects. However, a holistic approach in development processes of such services have yet to be fully covered. Therefore, this paper proposes an elicitation of requirements process as the initial step of a smart service design approach. The process takes information and knowledge needs as its core element for development, also considering customer centricity, service lifecycle, and sustainability concerns. A text mining tool was used to discover the unknown knowledge requirements from different text-data sources presented in a case ecosystem. After a co-occurrence analysis performed by our text mining software, we extracted the most relevant natural linguistic elements, which are expressed as knowledge requirements. The proposed elicitation process aims to lay the foundations for further propositions with a holistic point of view. Future research could aim the application of other technologies and methods for service design, as well as a broader approach in business processes and interdisciplinary cooperation.
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可持续智能服务设计的知识需求
最近的研究从不同的角度讨论了智能服务的主题,涵盖了技术和业务方面。但是,在发展这类服务的过程中,还没有完全采用综合办法。因此,本文建议将需求提取过程作为智能服务设计方法的初始步骤。该过程将信息和知识需求作为其开发的核心元素,同时也考虑到以客户为中心、服务生命周期和可持续性问题。使用文本挖掘工具从案例生态系统中呈现的不同文本数据源中发现未知的知识需求。在我们的文本挖掘软件执行了共现分析之后,我们提取了最相关的自然语言元素,这些元素被表示为知识需求。提出的启发过程旨在以整体的观点为进一步的命题奠定基础。未来的研究可以针对服务设计的其他技术和方法的应用,以及在业务流程和跨学科合作中更广泛的方法。
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