scholarly journals Does Social Risk Amplification Theory Explain the Resistance to COVID-19 Geo-Localization Applications?

TEM Journal ◽  
2021 ◽  
pp. 1202-1208
Author(s):  
Mohamed Nabil Mzoughi ◽  
Karim Garrouch
Keyword(s):  
Technology Acceptance ◽  
Information Seeking ◽  
Media Coverage ◽  
Perceived Risk ◽  
Mobile Application ◽  
Social Risk ◽  
Social Amplification Of Risk ◽  
Technology Acceptance Models ◽  
The Social ◽  
Risk Framework

KSA have launched a mobile application which recognizes if there is a confirmed COVID-19 subject in proximity. Its adoption can be explained by technology acceptance models, but the pandemic context involves also the use of a theory dealing with the health risk. This study adapts the Social Amplification of Risk Framework to verify a model explaining three behaviors: information seeking, preventive behavior and resistance to COVID-19 mobile application Tawakkalna. A survey has been distributed to a sample of 312 individuals living in Saudi Arabia. Findings show that media coverage and perceived risk have an impact on negative affective reactions which influence behavior.

Reducing the Perceived Risk of e-Government Implementations

2012 ◽  
pp. 1-8
Author(s):  
Andrew Whitmore ◽  
Namjoo Choi
Keyword(s):  
United States ◽  
Risk Communication ◽  
Perceived Risk ◽  
The United States ◽  
Limiting Factor ◽  
Social Amplification Of Risk ◽  
The Social ◽  
Risk Framework ◽  
Social Amplification ◽  
Probabilistic Risk

Perceived risk has been identified by the literature as a limiting factor in e-government adoption and success. However, there has been little effort spent examining how and why perceived risk comes to differ from actual probabilistic risk and the means by which the gap can be reduced. These questions were examined by applying the Social Amplification of Risk Framework to the case of e-government in the United States. Several factors that are known to exacerbate perceived risk were identified from the literature and shown to be in place in the United States. The presence of these factors suggests that more effective risk communication is required in order to realign perceived risk with probabilistic risk. Recommendations on how to improve e-government risk communication through technical and human means are provided.

scholarly journals Alternative media framing of COVID-19 risks

2021 ◽  
pp. 001139212110061
Author(s):  
Martin Rooke
Keyword(s):  
Media Coverage ◽  
Media Framing ◽  
Alternative Media ◽  
Framing Analysis ◽  
Far Right ◽  
Social Amplification Of Risk ◽  
The Social ◽  
Online Audiences ◽  
Risk Framework ◽  
Risk Amplification

Early media coverage of COVID-19, between 1 January and 31 March 2020, provided Alternative Media Personalities (AMPs) an opportunity to provide conspiratorial misinformation to their online audiences. Far-right AMPs may reframe sociopolitical aspects of risk to produce ‘fake-news’, amplifying future risks arising from the COVID-19 pandemic. Using the Social Amplification of Risk Framework (SARF) to define factors of risk amplification, this study conducted a framing analysis upon 1,895 minutes of streamed video content from a popular, far-right, AMP regarding COVID-19. Significant differences in frame expression suggested that AMPs hold greater value in specific frames when providing infotainment based upon authentic interpretations of risk. A lack of significant change in frame expression over time suggests that AMPs may rely upon media templates when communicating risk to their audience. Qualitative data suggest that different aspects of risk amplification work in concert to provide discursive contexts for far-right AMPs to define risks from their ideological standpoint. The data provided by this study better outline some of the complexities facing scientific communications strategies which seek to directly address misinformation online.

Reducing the Perceived Risk of E-Government Implementations

2010 ◽  
Vol 6 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Andrew Whitmore ◽  
Namjoo Choi
Keyword(s):  
United States ◽  
Risk Communication ◽  
Perceived Risk ◽  
The United States ◽  
Limiting Factor ◽  
Social Amplification Of Risk ◽  
The Social ◽  
Risk Framework ◽  
Social Amplification ◽  
Probabilistic Risk

Perceived risk has been identified by the literature as a limiting factor in e-government adoption and success. However, there has been little effort spent examining how and why perceived risk comes to differ from actual probabilistic risk and the means by which the gap can be reduced. These questions were examined by applying the Social Amplification of Risk Framework to the case of e-government in the United States. Several factors that are known to exacerbate perceived risk were identified from the literature and shown to be in place in the United States. The presence of these factors suggests that more effective risk communication is required in order to realign perceived risk with probabilistic risk. Recommendations on how to improve e-government risk communication through technical and human means are provided.

Store brand and perceived risk on private label brand attitude

2020 ◽  
Vol 12 (1) ◽  
pp. 133-150 ◽  
Author(s):  
M.K.M. Manikandan
Keyword(s):  
Risk Factors ◽  
Perceived Risk ◽  
Tamil Nadu ◽  
Financial Risk ◽  
Perceived Quality ◽  
Negative Influence ◽  
Private Label ◽  
Social Risk ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to find the influence of retailer equity and perceived risk on attitudes toward private label brand (PLB) grocery products. Design/methodology/approach Retailer equity includes four variables: retailer awareness, retailer association, retailer perceived quality and retailer loyalty. The perceived risk factors include functional risk, financial risk and social risk. The attitude toward PLBs was taken as the dependent variable. The study was carried out by using a standardized questionnaire for all three constructs. The convenience sampling method was adopted to carry out data collection from customers of organized retail stores in the city of Coimbatore, in the state of Tamil Nadu, India. The relationship between the three variables was studied with structural equation modeling using IBM SPSS Amos software. Findings The study revealed that excluding the Financial Risk and the Social Risk, functional risk alone has significant influence over the PLB Attitude. The Retailer Equity variables, retailer perceived quality and retailer loyalty have positive influence on the PLB Attitude, while the other two variables do not show any influence. Retailer Awareness shows a negative influence over the social risk. Retailer Association does not show any influence on any of the three risk factors. Retailer perceived quality shows negative influence over the functional risk while retailer loyalty negatively influences social risk. Research limitations/implications The research study was carried out in cities that are populous in the Indian state of Tamil Nadu. All the respondents came from three cities in Tamil Nadu, namely, Coimbatore, Tiruppur and Madurai. Hence, extending the findings of the study to other countries where organized retail penetration is deeper may be attempted with caution. Practical implications The study will offer managers in the retail industry some understanding of the risk-relieving factors in operation when buying grocery goods. Originality/value The research paper contributes to the literature concerning the role played by retailer equity and perceived risk factors on attitudes toward PLBs.

Presence of Complex and Potentially Conflicting Information in Prenatal Mobile Apps

2018 ◽  
Vol 21 (2) ◽  
pp. 238-245 ◽  
Author(s):  
Jasmyne J. Womack ◽  
LaKesha N. Anderson ◽  
Christy J. W. Ledford
Keyword(s):  
Pregnant Women ◽  
Mobile Apps ◽  
Social Amplification Of Risk ◽  
Conflicting Information ◽  
Research Journal ◽  
Medical Background ◽  
Complex Information ◽  
The Social ◽  
Risk Framework ◽  
In Pregnancy

Pregnant women are increasingly using mobile apps as a source of supplemental information. These pregnancy-related mobile apps present women with contradictory risk recommendations without the medical research to support their claims. The content analysis describes a sample of the pregnancy-tracking mobile application environment open to pregnant mothers and uses the social amplification of risk framework. Within this framework, written recommendations and the presence or absence of corresponding citations on controversial topics in pregnancy were recorded and risk was coded as received contradictory information. Of the 48 pregnancy-tracking mobile apps downloaded, 11 (22.9%) were associated with either a seller or a developer with a medical background. Only 24 of 48 (50.0%) of the apps cited a source, such as a health professional agency or peer-reviewed research journal for health recommendations. In our results, we show a sampling of contradictory risk recommendations made by mobile apps that cite or do not cite their source for that recommendation on 8 controversial topics in pregnancy. Findings suggest providers treating pregnant women must be aware of the complex information environment and help them navigate the risk information they encounter on some of the most popular pregnancy-tracking mobile apps.

scholarly journals Understanding Restaurant Clients' Intention to Use Mobile Applications

2020 ◽  
Vol 28 (3) ◽  
pp. 1-16
Author(s):  
Galina Kondrateva ◽  
Chantal Ammi ◽  
Patricia Baudier
Keyword(s):  
Technology Acceptance ◽  
Relationship Marketing ◽  
Mobile Technology ◽  
Mobile Applications ◽  
Mobile Application ◽  
Total Sample ◽  
Intention To Use ◽  
Technology Acceptance Models ◽  
Restaurant Managers ◽  
Technology Applications

Smartphones have changed consumer behavior by providing new mobile technology applications. In order to understand the intention to use mobile applications, this study highlights the factors of usability, loyalty, and trust based on technology acceptance models and relationship marketing by using mobile restaurant guides. This research fills a gap regarding the comparison of mobile application users' behavior in France and Russia. The authors tested the model by a total sample of 244 respondents (123 from Paris and 121 from Moscow) and analysed it with SmartPLS. The comparison of subgroups indicates that Russian users are sensitive toward the variable of trust, while French users are more impacted by mobile application usability. This study can be relevant for practitioners who work internationally, developers of mobile applications, and restaurant managers.

scholarly journals Early detection of perceived risk among users of a UK travel health website compared with internet search activity and media coverage during the 2015–2016 Zika virus outbreak: an observational study

BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e015831 ◽  
Author(s):  
Jakob Petersen ◽  
Hilary Simons ◽  
Dipti Patel ◽  
Joanne Freedman
Keyword(s):  
News Media ◽  
Zika Virus ◽  
Information Seeking ◽  
Media Coverage ◽  
Perceived Risk ◽  
Time Trends ◽  
Online Information ◽  
Search Activity ◽  
Travel Health ◽  
Global Threat

ObjectivesThe Zika virus (ZIKV) outbreak in the Americas in 2015–2016 posed a novel global threat due to the association with congenital malformations and its rapid spread. Timely information about the spread of the disease was paramount to public health bodies issuing travel advisories. This paper looks at the online interaction with a national travel health website during the outbreak and compares this to trends in internet searches and news media output.MethodsTime trends were created for weekly views of ZIKV-related pages on a UK travel health website, relative search volumes for ‘Zika’ on Google UK, ZIKV-related items aggregated by Google UK News and rank of ZIKV travel advisories among all other pages between 15 November 2015 and 20 August 2016.ResultsTime trends in traffic to the travel health website corresponded with Google searches, but less so with media items due to intense coverage of the Rio Olympics. Travel advisories for pregnant women were issued from 7 December 2015 and began to increase in popularity (rank) from early January 2016, weeks before a surge in interest as measured by Google searches/news items at the end of January 2016.ConclusionsThe study showed an amplification of perceived risk among users of a national travel health website weeks before the initial surge in public interest. This suggests a potential value for tools to detect changes in online information seeking behaviours for predicting periods of high demand where the routine capability of travel health services could be exceeded.

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