Abstract: This article examines cognitive processes engaged in situational understanding and outlines a framework for simulating such processes in computational systems (machine situational understanding). Discussion focuses on elucidating key distinctions between machine learning and machine situational understanding and apprehending limitations of conventional AI methods (learning, reasoning) in approximating the capacity for situational understanding and/or facilitating situational understanding in the human operators

• Publication Date: 28-Oct-2018
• DOI: 10.15224/978-1-63248-162-7-08
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Abstract: This study will use the technology-organization-environment (TOE) framework; which has been broadly used to clarify how to adopt technological innovation from the standpoint of a business (Tornatzky and Fleischer, 1990; Wu and Chen, 2014) and integrating it with the TAM Model which is modified to incorporate two factors such as perceived usefulness and perceived of ease to TOE framework which recognizes three factors that influence an organization's implementation of technological innovations directly, and they are technological dimension,organizational dimension, and environmental dimension. The link between these technological, organizational and environmental factors and technology adoption such as web services and 3D printers is a conception worth to examine and explore. Although, previous studies have acknowledged significant factors through TOE frame work that can encourage the adoption of 3D printer (CC Yeh, YF Chen, 2018), but as the study recommends that future researchers can

• Publication Date: 28-Oct-2018
• DOI: 10.15224/978-1-63248-162-7-09
• Views: 0
• Downloads: 0