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feasibility opportunities to propose data-driven knowledge mobilization techniques. The aim of data-driven knowledge mobilization includes understanding ...
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Facing disruptions from new technologies, a culture of heavily-involved customers, and global markets, it is critical that knowledge organizations and ...
Apr 1, 2024 · We explore knowledge transfer in dynamic decision-making by concentrating on batch stationary environments and formally defining task ...
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The scope of this workshop is to discuss how data-driven technologies impact the way how organizations manage knowledge to develop and maintain competitive ...
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Data-driven decision making is a process in which data is used to come to a decision or to identify options instead of simply making a decision based on ...
Sep 7, 2023 · There are many benefits, including greater customer satisfaction and improved product reliability, along with increased efficiency and cost savings.
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Investing in a knowledge management platform now will help to inform decisions and strategies that will impact the future and be leveraged by generations to ...
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Title, Data-Driven Knowledge Mobilization ; Publication Type, Conference Paper ; Year of Publication, 2016 ; Authors, Lyons, K. A., E. Stroulia, D. Luo, R. Miller, ...
That is, to leverage big data, visualizations must now support predictive (“what might happen next”) and prescriptive. (“what should we do next”) analytics.
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This study discusses the challenges and opportunities faced by healthcare organisations related to DT based on data-driven business models.
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