Global ETD Search

131	An Exploratory Study on The Trust of Information in Social Media Chih-Yuan Chou (8630730) 17 April 2020 (has links) This study examined the level of trust of information on social media. Specifically, I investigated the factors of performance expectancy with information-seeking motives that appear to influence the level of trust of information on various social network sites. This study utilized the following theoretical models: elaboration likelihood model (ELM), the uses and gratifications theory (UGT), the unified theory of acceptance and use of technology model (UTAUT), the consumption value theory (CVT), and the Stimulus-Organism-Response (SOR) Model to build a conceptual research framework for an exploratory study. The research investigated the extent to which information quality and source credibility influence the level of trust of information by visitors to the social network sites. The inductive content analysis on 189 respondents’ responses carefully addressed the proposed research questions and then further developed a comprehensive framework. The findings of this study contribute to the current research stream on information quality, fake news, and IT adoption as they relate to social media. Information Systems Human Information Behaviour Social and Community Informatics Web Technologies (excl. Web Search) Computer-Human Interaction Information Systems Management Business Information Systems Innovation and Technology Management trust of information information quality performance expectancy Stimulus-Organism-Response Model social network sites social media fake news
132	DIGITAL TWIN: FACTORY DISCRETE EVENT SIMULATION Zachary Brooks Smith (7659032) 04 November 2019 (has links) Industrial revolutions bring dynamic change to industry through major technological advances (Freeman & Louca, 2002). People and companies must take advantage of industrial revolutions in order to reap its benefits (Bruland & Smith, 2013). Currently, the 4th industrial revolution, industry is transforming advanced manufacturing and engineering capabilities through digital transformation. Company X’s production system was investigated in the research. Detailed evaluation the production process revealed bottlenecks and inefficiency (Melton, 2005). Using the Digital Twin and Discrete Event Factory Simulation, the researcher gathered factory and production input data to simulate the process and provide a system level, holistic view of Company X’s production system to show how factory simulation enables process improvement. The National Academy of Engineering supports Discrete Event Factory Simulation as advancing Personalized Learning through its ability to meet the unique problem solving needs of engineering and manufacturing process through advanced simulation technology (National Academy of Engineering, 2018). The directed project applied two process optimization experiments to the production system through the simulation tool, 3DExperience wiht the DELMIA application from Dassualt Systemes (Dassault, 2018). The experiment resulted in a 10% improvement in production time and a 10% reduction in labor costs due to the optimization Information Systems Information Systems Management Technology not elsewhere classified 3dx delmia dassault systemes discrete event simulation des industry 4.0 plm product life cycle enterprise system enterprise systems information systems operations industrial engineering model based model based engineering MBSE MBE factory factory simulation factory flow process planning digital twin digital thread digital transformation digital manufacturing digital factory modeling modeling and simulation simulation

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An Exploratory Study on The Trust of Information in Social Media

DIGITAL TWIN: FACTORY DISCRETE EVENT SIMULATION