A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

Badr, Amal Mohammed Nabil Abdul Azim; Mohamed, Tarek Ismail; Osman, Nassereldin Abdel Qadir; Mikhaylov, Alexey

doi:10.3390/informatics9030050

Cited by 21 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the COVID-19 pandemic, social media can easily facilitate the social problems, such as limited social interaction, that caused by the pandemic (Sumaedi et al, 2021). It was also well known that government in many countries utilized social media for sharing COVID-19 information and performing COVID-19 related health education (Pang et al, 2021;Badr et al, 2022). These facts may lead the domination of social media in the publications of COVID-19 preventive behaviors and digital media.…”

Section: Discussionmentioning

confidence: 99%

COVID-19 Preventive Behavior and Digital Media: A Bibliometric Study

Afifi,

Yaman,

Bakti

et al. 2023

SMC

View full text Add to dashboard Cite

COVID-19 preventive behavior is crucial for reducing the spread of COVID-19 infection. During the pandemic, digital media can be used to educate on the behavior. Therefore, it is imperative to study COVID-19 preventive behavior and digital media. Despite extensive examinations on this matter, a distinct lack of bibliometric exploration has been observed. This study involves a bibliometric analysis utilizing data obtained from the Scopus database. Following a comprehensive search and screening procedure, our research examined a total of 68 articles. The findings indicate that Liu, Romer, and Jamieson emerge as the most influential researchers in the realm of studies focused on COVID-19 preventive behavior and digital media. The US and China are observed as the most referenced countries for research on COVID-19 preventive behavior and digital media. The International Journal of Environmental Research and Public Health, PLoS ONE, and the Journal of Medical Internet Research stand out as the three most productive and referenced journals in studies relating to this research topic. Concerning the state of the art, fundamentally, existing research refers to five major topics: the influence of Protection Motivation Theory (PMT) factors, the influence of COVID-19 coverage (infodemiology), the influence of media exposure/information and Health Belief Model (HBM) factors, the influence of e-health literacy, knowledge, and attitude, and the role of digital media in public health intervention strategy to prevent the spread of COVID-19. In conclusion, this bibliometric study sheds light on the multifaceted landscape of COVID-19 preventive behavior and digital media research. By delving into researcher analyses, preferred publication outlets, and the topical state of the art, this study contributes a novel perspective to the existing literature.

show abstract

Section: Discussionmentioning

confidence: 99%

COVID-19 Preventive Behavior and Digital Media: A Bibliometric Study

Afifi,

Yaman,

Bakti

et al. 2023

SMC

View full text Add to dashboard Cite

show abstract

“…Based on the presented information, it can be stated that the demand for this segment of the financial sector is relatively high. However, daily transactions' value was stable this year (Cantor et al, 2021;Badr et al, 2022;Barykin et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 94%

Innovative analysis in climate change: Evidence from developed European countries

Barykin

Yadykin

Badenko

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Since the turn of the 20th century, the whole world entered a period of technological singularity. It is also predicted that the pace of innovation regarding problems associated with climate change, generational change of technologies will constantly increase. This paper aims to bring an innovative product to the market regarding subsequent economical and social strategy. The methodology is based on a dynamic assessment of the development of consumer demand in the context of innovative proposals. In the article, results are obtained and the volume of investments in the development of innovations is determined, which optimizes the balance between curtailing the volume of output using the previous technology in climate change and increasing the production and sale of an innovative product in climate change. The novelty of this study is in the panel framework on the base of Model Based System Engineering (MBSE). The study concludes that MBSE are more sensitive to innovative activity. The volume of investments in the development of innovations is determined. The main result is the total profit from the demand in the consumer market for products based on old and new technologies in climate change, since reformed business processes entail significant financial costs. The above-discussed issues lead to inappropriate misleading policy recommendations. The main recommendation is using disaggregated trade data for each trading partner and industry level to conclude more accurate results and policy recommendations for each trading partner and industry in concern.

show abstract

“…The COVID-19 pandemic has forced a rapid change in how companies interact with each other and with state institutions, with social media sites becoming the main tool to face these challenges [98].…”

Section: E-governmentmentioning

confidence: 99%

Approach to the Impact of Digital Technologies on Sustainability Reporting through Structural Equation Modeling and Artificial Neural Networks

Mehedințu

Şoavă

2023

Electronics

View full text Add to dashboard Cite

The motivation for study derives from the requirements imposed by the European Union Corporate Sustainability Reporting Directive, which increases the sustainability reporting scope and the need for companies to use emerging digital technologies. The research aim is to evaluate the digital transformation impact of the European Union companies on sustainability reporting expressed through three sustainable performance indicators (economic, social, and ecological) based on a conceptual model. The data were collected from Eurostat for 2011–2021. The study proposes a framework for sustainable performance analysis through linear regression models and structural equations. Additionally, a hierarchy of digitization indicators is created by modeling structural equations, depending on their impact on sustainability performance indicators, which is validated using neural networks. The results indicate that the company’s digital transformation indicators positively influence economic and social performance and lead to an improved environmental protection (a decrease in pollution), proving the established hypotheses’ validity. The proposed model can be the basis for companies to create their dashboards for analyzing and monitoring sustainable performance. This research can be the basis of other studies, having a significant role in establishing economic and environmental strategies to stimulate an increase of companies that carry out sustainability reporting.

show abstract

A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

Cited by 21 publications

References 26 publications

COVID-19 Preventive Behavior and Digital Media: A Bibliometric Study

COVID-19 Preventive Behavior and Digital Media: A Bibliometric Study

Innovative analysis in climate change: Evidence from developed European countries

Approach to the Impact of Digital Technologies on Sustainability Reporting through Structural Equation Modeling and Artificial Neural Networks

Contact Info

Product

Resources

About