scholarly journals Making Mobile Health Information Advice Persuasive

2022 ◽  
Vol 34 (4) ◽  
pp. 1-22
Author(s):  
Jinjin Song ◽  
Yan Li ◽  
Xitong Guo ◽  
Kathy Ning Shen ◽  
Xiaofeng Ju
Keyword(s):  
Health Information ◽  
Mobile Health ◽  
Health Concern ◽  
Behavior Changes ◽  
Elaboration Likelihood ◽  
Positive Effects ◽  
Peripheral Cues ◽  
Information Matching ◽  
Likelihood Model ◽  
Health Behavior Changes

As M-Health apps become more popular, users can access more mobile health information (MHI) through these platforms. Yet one preeminent question among both researchers and practitioners is how to bridge the gap between simply providing MHI and persuading users to buy into the MHI for health self-management. To solve this challenge, this study extends the Elaboration Likelihood Model to explore how to make MHI advice persuasive by identifying the important central and peripheral cues of MHI under individual difference. The proposed research model was validated through a survey. The results confirm that (1) both information matching and platform credibility, as central and peripheral cues, respectively, have significant positive effects on attitudes toward MHI, but only information matching could directly affect health behavior changes; (2) health concern significantly moderates the link between information matching and cognitive attitude and only marginally moderates the link between platform credibility and attitudes. Theoretical and practical implications are also discussed.

Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tao Zhou
Keyword(s):  
User Behavior ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Content Type ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Adoption Intention ◽  
Information Adoption ◽  
Central Cues

PurposeThe purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).Design/methodology/approachThe authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.FindingsThe results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.Originality/valuePrevious research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

The Effects of Online Consumer Reviews on Fashion Clothing Purchase Intention

2017 ◽  
pp. 318-347 ◽  
Author(s):  
Julie A. Dennison ◽  
Matteo Montecchi
Keyword(s):  
Purchase Intention ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Elaboration Likelihood ◽  
Consumer Reviews ◽  
Online Consumer Reviews ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Online Consumer ◽  
Significant Moderator

This chapter examines a particular type of electronic word-of mouth; that of online consumer reviews featured on fashion retailer websites, and studies the effects they have on female fashion consumers in terms of subsequent purchase intention decisions. Using the Elaboration Likelihood Model as the theoretical framework, this study has focused on examining the effects of three peripheral cues; source credibility, review volume and valance on purchase intention, and also investigated how fashion clothing involvement moderates these relationships. The results suggest that reviews that are perceived to be credible, featured in high numbers and predominantly positive all had a significant effect in increasing the purchase intention of female fashion consumers. The level of fashion clothing involvement did not appear to be a significant moderator of cue effects with the notable exception of negative reviews, which were more likely to deter purchase intention from low involvement consumers compared to high involvement consumers.

English words and phrases in Dutch job advertisements

2015 ◽  
Vol 4 (1) ◽  
pp. 21-38 ◽  
Author(s):  
Frank van Meurs ◽  
Hubert Korzilius ◽  
Liset Bergevoet
Keyword(s):  
Language Use ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Limited Evidence ◽  
Model Framework ◽  
Peripheral Cues ◽  
Job Advertisements ◽  
Likelihood Model ◽  
Central Route ◽  
Job Ads

It has been suggested that differences in mental processing affect the persuasiveness of language use. Within the Elaboration Likelihood Model framework, we examined if there were differences in the persuasiveness of English versus Dutch words in job ads depending on the way the job ads were processed, either by the central or the peripheral route. In an experiment, 144 participants evaluated ads for lower level jobs. Persuasiveness was measured in terms of text, job, and company evaluation, and application intention. There were no differences in persuasiveness for job ads containing English words depending on whether they were processed via the peripheral or the central route. However, under peripheral processing the jobs in the ads with English words were seen as being more attractive and as having a lower salary than the jobs in the all-Dutch ads, providing some limited evidence that English words may function as peripheral cues.

scholarly journals Processing of Political Contents of Mass Media: An Analysis under the Elaboration Likelihood Model of Persuasion

sjesr ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 141-147
Author(s):  
Dr. Imran Muslim ◽  
Dr. Faiza Latif ◽  
Dr. Muhammad Shabbir Sarwar
Keyword(s):  
Political Parties ◽  
Mass Media ◽  
Elaboration Likelihood Model ◽  
The Political ◽  
Cluster Sampling ◽  
Elaboration Likelihood ◽  
Peripheral Cues ◽  
Key Factor ◽  
Likelihood Model ◽  
Multistage Cluster Sampling

This study deals with the processing of political information disseminated through mass media. “Elaboration Likelihood Model” of persuasion was used as a framework for this study. A list comprising of general sentences used in favor and against the major political parties of Pakistan was used as “central” and “peripheral” cues. A combination of stratified and multistage cluster sampling was used to select the youth as respondents for this study. Findings of the study revealed that the Education level of the youth did not prove to be a key factor for using central cues, which are predictors of thoughtful processing of information. More than that a large majority of the youth did not gave much attention to the political contents of mass media, hence by proving that they do not care for the political happenings in the country.

scholarly journals Building comprehension to enhance vaccination intentions: Evidence from the United States and Italy

2020 ◽  
Author(s):  
Gregory Porumbescu ◽  
Maria Cucciniello ◽  
Paolo Pin ◽  
Alessia Melegaro
Keyword(s):  
Adverse Effects ◽  
Health Information ◽  
Process Variable ◽  
The United States ◽  
Elaboration Likelihood Model ◽  
Statistical Information ◽  
Elaboration Likelihood ◽  
Information Campaigns ◽  
The Public ◽  
Likelihood Model

Building on Cognitive Load Theory and the Elaboration Likelihood Model of Persuasion this study attempts to deepen our understanding of how health information campaigns related to vaccination work. We predict that including statistical information in health information campaigns will serve as a distraction that suppresses comprehension that renders the campaign less effective at persuading the public to vaccinate. Results from a survey experiment conducted on samples of US (n = 605) and Italian parents (n = 505) show support for the hypothesized relationship depends upon the form of comprehension (comprehension of how vaccines work versus comprehension of potential adverse effects of vaccinating). Specifically, both US and Italian parents show including statistical information reduces comprehension of how vaccines work, in turn reducing parents' intentions to vaccinate themselves and their children. We find no support for the hypothesized mechanism when comprehension of potential adverse effects of vaccinating acts as the process variable.

scholarly journals The Effects of “Live,” Authentic, and Emotional Instagram Images on Congressional Candidate Evaluations

2021 ◽  
Vol 7 (4) ◽  
pp. 205630512110629
Author(s):  
Diana Zulli ◽  
Terri L. Towner
Keyword(s):  
Visual Communication ◽  
Elaboration Likelihood Model ◽  
Visual Features ◽  
Elaboration Likelihood ◽  
Negative Effects ◽  
Female Candidate ◽  
Positive Effects ◽  
Candidate Evaluations ◽  
Likelihood Model ◽  
Male Candidate

This study examines how Instagram’s design and norms influence expectations for political imagery and, subsequently, the effects of these images on electability, vote likelihood, and candidate evaluations. Using the Elaboration Likelihood Model, we propose three norms of Instagram that likely function as heuristic cues and affect the reception of political visual communication on the platform: liveness, authenticity, and emotionality. We experimentally test these visual features on Congressional candidate images, finding some evidence that live, authentic, and emotional images positively influence vote likelihood but negatively impact electability. Results also indicate that live, authentic, and emotional images either have no or negative effects on female candidate evaluations or have no or positive effects on male candidate evaluations.

scholarly journals Acceptability of a Mobile-Health Living Kidney Donor Advocacy Program for Black Wait-Listed Patients

2021 ◽  
Vol 18 (16) ◽  
pp. 8239
Author(s):  
John C. Sieverdes ◽  
Lynne S. Nemeth ◽  
Martina Mueller ◽  
Vivik Rohan ◽  
Prabhakar K. Baliga ◽  
...  
Keyword(s):  
Mobile Health ◽  
Program Implementation ◽  
Living Donor ◽  
Behavior Changes ◽  
Living Kidney Donor ◽  
Participant Satisfaction ◽  
Care Groups ◽  
Video Chat ◽  
Advocacy Program ◽  
Health Behavior Changes

Marked racial disparities exist in rates of living donor kidney transplantation (LDKT). The Living Organ Video Educated Donors (LOVED) program is a distance-based, mobile health program designed to help Black kidney transplant wait-list patients advocate for a living donor. This study reported on the acceptability outcomes to aid in future refinements. Participants were randomized to LOVED (n = 24, mean age = 50.9 SD (9.2) years), male = 50%) and usual care groups (n = 24 (mean age 47.9 SD (10.0), male 50%). Four LOVED groups completed an eight-week intervention that consisted of six online video education modules and eight group video chat sessions led by a Black navigator. Qualitative analysis from post-study focus groups resulted in six themes: (1) video chat sessions provided essential support and encouragement, (2) videos motivated and made participants more knowledgeable, (3) connectivity with tablets was acceptable in most areas, (4) material was culturally sensitive, (5) participation was overall a positive experience and (6) participants were more willing to ask for a kidney now. The video chat sessions were pertinent in participant satisfaction, though technology concerns limited program implementation. Results showed that the LOVED program was acceptable to engage minorities in health behavior changes for living donor advocacy but barriers exist that require future refinement.

Identifying the factors that affect the knowledge of mortgage loans' total cost

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pablo Farías
Keyword(s):  
Financial Services ◽  
Mortgage Loan ◽  
Elaboration Likelihood ◽  
Mortgage Loans ◽  
Content Type ◽  
Total Cost ◽  
Positive Effects ◽  
Brand Credibility ◽  
Likelihood Model ◽  
Information Shortcuts

PurposeThis study identifies the factors that affect the knowledge of mortgage loans' total cost.Design/methodology/approachEmpirical research utilizing a survey administered through in-home interviews was conducted. This study adopts the elaboration likelihood model (ELM) theory to analyze the influence of information shortcuts and borrowers' abilities and motivations on the knowledge of mortgage loans' total cost.FindingsThe results support that the use of the price–quality cue and brand credibility have negative and positive effects, respectively, on the knowledge of mortgage loans' total cost. Households' primary income earners have a higher knowledge of mortgage loans' total cost. The results also show that the household's primary income earners who are price conscious and brand nonbelievers have more knowledge of mortgage loans' total cost.Originality/valuePrice knowledge studies in financial services, especially in the mortgage loan industry, are scarce. Consequently, understanding the price knowledge level for mortgage loans and its potential antecedents has been insufficient.

scholarly journals Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model

2021 ◽  
Vol 18 (19) ◽  
pp. 10058
Author(s):  
Qiang Chen ◽  
Yangyi Zhang ◽  
Richard Evans ◽  
Chen Min
Keyword(s):  
Social Media ◽  
Central Government ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Chinese Government ◽  
Elaboration Likelihood ◽  
Media Richness ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Central Cues

Widespread misinformation about COVID-19 poses a significant threat to citizens long-term health and the combating of the disease. To fight the spread of misinformation, Chinese governments have used official social media accounts to participate in fact-checking activities. This study aims to investigate why citizens share fact-checks about COVID-19 and how to promote this activity. Based on the elaboration likelihood model, we explore the effects of peripheral cues (social media capital, social media strategy, media richness, and source credibility) and central cues (content theme and content importance) on the number of shares of fact-checks posted by official Chinese Government social media accounts. In total, 820 COVID-19 fact-checks from 413 Chinese Government Sina Weibo accounts were obtained and evaluated. Results show that both peripheral and central cues play important roles in the sharing of fact-checks. For peripheral cues, social media capital and media richness significantly promote the number of shares. Compared with the push strategy, both the pull strategy and networking strategy facilitate greater fact-check sharing. Fact-checks posted by Central Government social media accounts receive more shares than local government accounts. For central cues, content importance positively predicts the number of shares. In comparison to fact-checks about the latest COVID-19 news, government actions received fewer shares, while social conditions received more shares.

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