A Motivation-based Partnership Decision Model on Event-Stream Knowledge in Real-time Business

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Toward a brand-new multi-dimensional knowledge-sharing framework for the future Internet of Business Intelligence (BI), we tackle the challenges of sharing decisions at knowledge owners. In this paper, we provide an automatic decision-maker model responding to requesting offers from knowledge investors. To achieve that, we refer the theory about motivational factors behind sharing behavior in the context of event-stream processing for decision criteria in owner aspect. Then, we exploit the multi-criteria decision technique named AHP to provide numerical score ranking. To gain the flexibility of offering, we allow investors to offer both direct incentive (money) and indirect incentive (computation power) and propose a method to assess the value of resource for event-stream processing tasks considering both energy and time of computation and communication. To illustrate the proposed decision model, we raise example case studies on social/interest-leading disaster knowledge and attitude-leading market-trend knowledge.

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