CHANGING ATTITUDES REGARDING THE EFFECTIVENESS OF COGNITIVE RESTRUCTURING FOR TREATING DEPRESSION

1990 ◽  
Vol 18 (2) ◽  
pp. 181-188 ◽  
Author(s):  
Greg J. Neimeyer ◽  
April E. Metzler ◽  
Tracy Dongarra
Keyword(s):  
Source Credibility ◽  
Cognitive Restructuring ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Treatment Technique ◽  
Mild Depression ◽  
Likelihood Model ◽  
Changing Attitudes ◽  
The Impact

This study examined the impact of depression on attitude formation concerning the effectiveness of cognitive restructuring as a treatment technique. Based on the Elaboration Likelihood Model of persuasion (Petty & Cacioppo, 1981a), we predicted that mild depression would enhance peripheral precessing by minimizing message elaboration. Subjects in the mixed-sex sample of 101 individuals were assigned to one of eight conditions which varied the quality of the persuasive intervention (high or low), the credibility of the source (high or low), and the level of depression reported by the subject (non-depressed, depressed). Consistent with predictions, depression enhanced peripheral processing. More highly depressed individuals responded more to the peripheral cue (source credibility) than did non-depressed subjects, although the quality of the interventions had an impact under both conditions. As with other recent studies, however, this attitudinal change did not generalize to behavioral indicators. The implications of these findings for further research and application are discussed.

scholarly journals The Impact of Electronic Word of Mouth on Tourists Visit Intention to Saudi Arabia: Argument Quality and Source Credibility as Mediators

2021 ◽  
Vol 10(4) (10(4)) ◽  
pp. 1152-1168
Author(s):  
Dalal Hodaed Alsheikh ◽  
Norzalita Abd Aziz ◽  
Layla Hodaed Alsheikh
Keyword(s):  
Information Quality ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Argument Quality ◽  
Mediating Role ◽  
Likelihood Model ◽  
The Impact ◽  
The Relationship

relationship between e-WOM and tourist visit intentions. As e-WOM in the form of comments, reviews, opinions, suggestions and recommendation are largely available in the online space, it has been found crucial to investigate the quality and credibility of such information. Elaboration Likelihood Model has been used to build the research model or framework. The study findings suggest the mediating role of source credibility and argument quality in the relationship between e-WOM and tourist visit intention. The study reveals that traveler seeks highly credible sources and information quality before deciding on any travel related products and services. The mediating role of source credibility and argument quality from ELM theory has been investigated from domestic tourism perspective.

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.

scholarly journals Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Fan Wu ◽  
Xiaowei Hu ◽  
Shi An ◽  
Duo Zhang
Keyword(s):  
Travel Time ◽  
Significant Influence ◽  
Choice Behavior ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Time Of Arrival ◽  
Road Congestion ◽  
Likelihood Model ◽  
Types Of Information ◽  
The Impact

The ubiquitous intelligent transportation infrastructure in metropolitan cities has enabled bus passengers to access comprehensive (even real-time) bus information. However, the impact of different types of information on passenger behavior is still insufficiently understood. Combining with the theory of information processing path, this study partially fills this gap by adopting an elaboration likelihood model (ELM) suitable for explaining how the various types of intelligent bus information influence passengers’ choice behavior. Six types of intelligent bus information (information of bus lines, estimated travel time, estimated time of arrival, congestion inside bus, road congestion, and bus fare) are used as six independent variables, and passengers’ departure time, travel routes, and travel modes as dependent variables. Valid questionnaire assessments were collected from 285 participants at 4 bus stops equipped with intelligent bus system in Harbin, providing quantitative data to verify each hypothesis. The results show that six types of intelligent bus information to different degrees (significant influence, slight influence, and no significant influence) affect three types of passengers’ choice behaviors; the information of estimated travel time and that of road congestion are both significantly effective in all three types of choice behavior while bus fare has no significant influence. Meanwhile, other types of information have a significant or slight effect on certain behavior. The results of this study can be used to design more reasonable intelligent bus information provision strategies to meet passengers’ requirements.

The Effect of Herding Behaviors on Dual-Route Processing of Communications Aimed at Tourism Crowdfunding Ventures

2020 ◽  
pp. 004728752091951 ◽  
Author(s):  
Myung Ja Kim ◽  
James F. Petrick
Keyword(s):  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Herding Behavior ◽  
Substantial Impact ◽  
Argument Quality ◽  
Persuasive Communications ◽  
Likelihood Model ◽  
Dual Route

Communications can be integral in persuading funders to invest in visitor economy crowdfunding. Despite the important role of diverse communications on consumer persuasion, research on the effectiveness of persuasive communications related to crowdfunding ventures has been limited. To bridge the gap, this study aims to verify an elaboration likelihood model to better understand the role of dual-route persuasive communications. Seven hypotheses related to argument quality, source credibility, benefit of crowdfunding, attachment to fundraiser and platform, and continued crowdfunding were examined, using herding behavior as a moderator. The findings revealed that argument quality had a substantial impact on benefit. Further, source credibility was found to have positive impacts on benefit and attachment; benefit had a significant effect on attachment and continued crowdfunding, and attachment had the strongest influence on continued crowdfunding. Additionally, herding behavior was found to moderate five of the six hypotheses.

scholarly journals A randomized trial to determine the impact on compliance of a psychophysical peripheral cue based on the Elaboration Likelihood Model

2008 ◽  
Vol 29 (6) ◽  
pp. 823-828 ◽  
Author(s):  
Rachael Jane Horton ◽  
Antoinette Minniti ◽  
Stewart Mireylees ◽  
Damian McEntegart
Keyword(s):  
Randomized Trial ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
The Impact

scholarly journals Beyond Influencer Credibility: The Power of Content and Parasocial Relationship on Processing Social Media Influencer Destination Marketing Campaigns

2022 ◽  
pp. 110-122
Author(s):  
Yi Xuan Ong ◽  
Tao Sun ◽  
Naoya Ito
Keyword(s):  
Social Media ◽  
Source Credibility ◽  
Destination Image ◽  
Destination Marketing ◽  
Elaboration Likelihood ◽  
Argument Quality ◽  
Parasocial Relationship ◽  
Likelihood Model ◽  
Shed Light

AbstractThe power of social media influencers (SMIs) as effective endorsers for destinations and tourism products have been widely acknowledged. Despite being characterised as content generators by prior research, little has been done to examine how consumers perceive content produced by SMI, a key component of destination marketing campaigns. Moreover, parasocial relationship between SMI and the follower has been proven to enhance the persuasive impact of SMIs. Hence, this study aims to shed light on how consumers would assess the SMI and the content the SMI produced, as well as the effect of parasocial relationship on processing SMI destination marketing campaigns. Findings (N = 501) have highlighted that argument quality of SMI content has a stronger direct impact on campaign attitude, destination image and travel intention, as compared to source credibility. With the application of the Elaboration Likelihood Model (ELM) as a framework, this study illuminates consumers’ interaction with the SMI destination marketing campaign and extends prior studies in understanding the importance of SMI content and parasocial relationship as a significant tool for future destination marketing.

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