The IoT- and Big Data-Driven Data Analysis Services: KM, Implications and Business Opportunities

I. Lokshina, Barbara J. Durkin, C. Lanting
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引用次数: 8

Abstract

Ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Now business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support potential opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, for the first time, business models, strategic implications and business opportunities for third-party data analysis services.
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物联网和大数据驱动的数据分析服务:知识管理、影响和商业机会
由无线传感器网络(WSN)技术支持的无处不在的传感设备遍及现代生活的各个领域,影响着个人和企业,并提供了测量和理解环境指标的能力。这些设备在通信驱动网络中的扩散创造了物联网(IoT)。物联网为建立以大数据为重点的全球主要数据驱动生态系统提供了工具。现在,商业模式可能关注于服务的提供,即服务的互联网(IoS)。这些模型假设存在和开发必要的物联网测量和控制仪器,通信基础设施,以及易于访问收集的数据和生成的信息。不同的商业模式可能支持为不同类型的客户创造收入和价值的潜在机会。本文通过首次考虑第三方数据分析服务的商业模式、战略含义和商业机会,为文献做出了贡献。
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