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Services Innovation: Decision Attributes Innovation Enablers and Innovation Drivers

机译:服务创新:决策属性创新推动力和创新驱动力

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摘要

Innovation in the services area — especially in the electronic services (e-services) domain — can be characterized by six decision-oriented attributes: decision-driven, information-based, real-time, continuously-adaptive, customer-centric and computationally-intensive. These attributes constitute the decision informatics paradigm. In turn, decision informatics is supported by information and decision technologies and based on the disciplines of data fusion/analysis, decision modeling and systems engineering. Out of the nine major innovation enablers in the services area (i.e., decision informatics, software algorithms, automation, telecommunication, collaboration, standardization, customization, organization, and globalization), decision informatics is shown to be a necessary enabler. Furthermore, four innovation drivers (i.e., collaboration, customization, integration and adaptation) are identified; all four are directed at empowering the individual — that is, at recognizing that the individual can, respectively, contribute in a collaborative situation, receive customized or personalized attention, access an integrated system or process, and obtain adaptive real-time or just-in-time input. In addition to expanding on current innovations in services and experiences, white spaces are identified for possible future innovations; they include those that can mitigate the unforeseen consequences or abuses of earlier innovations, safeguard our rights to privacy, protect us from the always-on, interconnected world, provide us with an authoritative search engine, and generate a GDP metric that can adequately measure the growing knowledge economy, one driven by intangible ideas and services innovation.
机译:服务领域(尤其是电子服务(e-services)领域)的创新可以通过六个面向决策的属性来表征:决策驱动,基于信息,实时,持续自适应,以客户为中心以及以计算为基础密集的。这些属性构成了决策信息学范式。反过来,决策信息学则受到信息和决策技术的支持,并基于数据融合/分析,决策建模和系统工程的学科。在服务领域的九个主要创新促成因素(即决策信息学,软件算法,自动化,电信,协作,标准化,定制,组织和全球化)中,决策信息学被证明是必要的促成因素。此外,确定了四个创新驱动力(即协作,定制,集成和适应);所有这四个目标都是为了增强个人能力-也就是说,认识到个人可以在协作情况下做出贡献,获得定制或个性化的关注,访问集成的系统或过程,并获得自适应的实时或即时时间输入。除了扩展当前在服务和体验方面的创新之外,还为未来可能的创新确定了空白;其中包括可以减轻早期创新的不可预见后果或滥用,保护我们的隐私权,保护我们免受永远在线,相互联系的世界,为我们提供权威的搜索引擎以及生成可以充分衡量GDP指标的指标。知识经济的增长,这是无形思想和服务创新所驱动的。

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