scholarly journals Huaer’s International Communication Strategy based on the Big Data under the Network Multimedia Propaganda

2020 ◽  
Vol 1648 ◽  
pp. 022005
Author(s):  
Bing Wang ◽  
Shikun Zhang
2022 ◽  
pp. 261-278

The formal response to COVID-19 through ICT is presented with a focus on testing COVID-19, ICTs and tracking COVID-19, ICTs and COVID-19 treatment, and policies and strategies. The chapter highlights the critical role of ICTs and e-government for technologies to fight coronavirus. It covers delivery of remote learning, ICT trends, artificial intelligence (AI), and big data in fighting the pandemic, in addition to social media application for awareness of citizens such as emergencies, protection, and pandemic news. The notion of developing an information and communication strategy for redesigning smart city transformation in a pandemic is highlighted.


2021 ◽  
Author(s):  
Ade Irma Stefi Ulil Amri

Evolution in information and communication technology (ICT) occurs so fast and dynamically that it brings extraordinary changes in various industries and human life. Public relations has also needed to be more responsive and ready with the use of communication technology. Government public relations teams need to be aware of the importance of information and how to manage it. They can use big data to develop communication strategies and as a tool to help make decisions, policies and programs. However, according to previous research, government public relations teams largely use big data for media monitoring. This conceptual paper aims to explore other potential uses of managing big data in government public relations to welcome the age of society 5.0. Keywords: Big data; media monitoring; communication strategy; government public relations


Author(s):  
Dr. Delton Aneato ◽  
Dr. Cesar Castellanos

Information technology (IT) leaders who do not invest in big data projects may struggle to gain a competitive advantage and business insights to improve performance. Grounded in Kotter’s change and Six Sigma models, the purpose of this qualitative multiple case study was to explore strategies IT leaders use to implement big data analytics successfully. The participants comprised 4 IT leaders from 2 telecommunication organizations in the United States of America, who expertly used big data analytics strategies to promote and maximize competitive advantage. Data were collected from semistructured interviews, company documents, and project-related documents. The collected information was examined by utilizing a thematic analysis approach. Four themes emerged from the data analysis process communication, training, employee involvement in decisions, and teamwork strategy. A key recommendation from these findings is for IT leaders to use successful communication strategies to convey the vision and objectives to all organizational levels. The successful communication-strategy can help evaluate business trends, forecasts, improve overall organizational performance and competitive advantage. The implications for positive social change include the potential for job creation, thus catalysing economic growth within communities.


2017 ◽  
Vol 35 (31_suppl) ◽  
pp. 59-59
Author(s):  
Marie C. Haverfield ◽  
Adam Singer ◽  
Karl Lorenz

59 Background: The development of “big data” methods offers an opportunity to more precisely predict patient outcomes. We explored physicians, patients, and caregivers’ perspectives about the use of predictive models in oncology practice. Methods: We conducted 12 patient, 12 provider, and 12 caregiver interviews (N = 36) from Stanford University outpatient oncology clinics. We queried participants about patient and family-centered applications of predictive models for prognosis, cost, and novel patient and family-centered outcomes. Two trained coders iteratively examined transcripts for consistent topics and used the constant comparative methods to establish themes and sub-themes. Results: Several overlapping themes emerged: 1) Outcomes of Interest, [provider] “Predictive information about side effects or adverse effects of treatment would be helpful”: 2) Barriers to Using Predictions, [patient] “If it seems too sort of set in stone, without…you know, everything has grey areas”; 3) Benefits to Using Predictions, [provider] “Some people…their cancer may be cured, but they live with these really horrible chronic illnesses and some people would say, ‘I would have rather have just died from my disease than be in this shape’; and 4) Communication Strategy, [provider] “I’m not even sure if I would bring up the models…I would kind of fall back on what I normally discuss with patients”. A theme specific to the provider group was 5) Accuracy of Model Information, [provider] “It’s hard to know whether to use in the clinical setting just the results of the model or whether you would really want to go down to the root level and actually access the raw data”. A theme specific to the patient and caregiver groups was 6) Privacy, [caregiver] “I would want to be able to have the patient authorize that”. Conclusions: There is consistency between provider strategies to communicate prognostic information and patients’ perceptions of how they would like prognostic information to be communicated to them. While providers are concerned with accuracy of predictive models, patients and caregivers are more concerned with privacy.


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