scholarly journals Text Mining to Understand the Influence of Social Media Applications on Smartphone Supply Chain

2018 ◽  
Vol 140 ◽  
pp. 87-94 ◽  
Author(s):  
Aditya Akundi ◽  
Bill Tseng ◽  
Jiamin Wu ◽  
Eric Smith ◽  
M Subbalakshmi ◽  
...  
Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  

Author(s):  
Raj Agnihotri ◽  
Ashish Kalra ◽  
Haozhe Chen ◽  
Patricia J. Daugherty

2019 ◽  
Vol 28 (13) ◽  
pp. 870-877
Author(s):  
Calvin Moorley ◽  
Theresa Chinn

Background: In 2016 the Nursing and Midwifery Council in the UK introduced revalidation, which is the process nurses are required to follow to renew their registration. This provides an opportunity for nurses to shape, develop and evolve social media to meet their professional requirements. Aims: to examine different ways nurses can use social media tools for continuous professional development (CPD) and revalidation. Methods: using a qualitative reflective design, data were gathered from content on the @WeNurses platform and activities organised with other leading health organisations in England. These data were analysed using the social media relationship triangle developed by the authors with a thematic analysis approach. Findings: analysis revealed that social media was used in six categories: publishing, sharing, messaging, discussing, collaborating, and networking. Organised social media events such as: blogs, tweetchats, Twitter storms, webinars, infographics, podcasts, videos and virtual book clubs can support nurses with revalidation and professional development. Conclusion: Through using a participatory CPD approach and embracing professional social media applications nurses have moved social media from the concept of a revolution to an evolution.


2018 ◽  
Vol 29 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Ashley A. Berard ◽  
André P. Smith

Fibromyalgia is a chronic illness with primary symptoms of widespread pain and fatigue. Social media applications have become a recent resource allowing individuals with fibromyalgia to interact in a virtual community devoted to the illness. This study explores how such a community develops and maintains itself on Instagram and the ways it creates social capital for its users. Data are derived from Instagram posts and open-ended questionnaires completed by users living with fibromyalgia who use the application. Using content analysis and semiotic methodology, the study analyzes the diverse ways in which users shared their experiences with fibromyalgia, the management of its symptoms, and issues encountered in accessing health care systems. Instagram aids in the development of a community by facilitating intimate and supportive interactions about the illness and the creation of personalized day-to-day narratives accessible to all. Norms of trust, acceptance, and reciprocity characterize the diversity of interactions in this community.


2018 ◽  
Vol 03 (03) ◽  
pp. 1850003 ◽  
Author(s):  
Jared Oliverio

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.


Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 995-1003
Author(s):  
Li Meng

The internet of things (IoT) and social media provide information related to disasters that could help businesses to strategically mitigate risks and optimize their supply chain during difficult times. This paper proposes a framework to show how business or supply chain enterprisers can collaborate with community and government in disaster supply chain risk management. Businesses must have an established risk mitigation plan, update it periodically and implement promptly. Community collaboration can build a resilient society, and government should play an important role in leading both financial and non-financial support during natural disasters and pandemic management. The IoT and social media are new mechanisms as a vocal point to enable government, ensuring trustworthiness of information, to provide the community with a means to express needs and feedback, and to assist business services to meet the changeable preferences under risk threats. Social media can be a collaborative effort between all the parties and helps make value added decisions efficiently in supply chain risk management.


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