Information Adoption Intention of Tagged Online Reviews Based on Information Adoption Model

2022 ◽  
pp. 1159-1166
Author(s):  
Zixuan Gong ◽  
Yanxia Cheng
Keyword(s):  
Online Reviews ◽  
Adoption Model ◽  
Adoption Intention ◽  
Information Adoption

Effect of eWOM review on beauty enterprise: a new interpretation of the attitude contagion theory and information adoption model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li-Chun Hsu
Keyword(s):  
Structural Equation ◽  
Word Of Mouth ◽  
Online Reviews ◽  
Equation Model ◽  
Consumer Attitude ◽  
Electronic Word Of Mouth ◽  
Content Type ◽  
Adoption Model ◽  
New Interpretation ◽  
Information Adoption

PurposeThis study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.Design/methodology/approachThis study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.FindingsResults revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”Originality/valueThis paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

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 Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1133
Author(s):  
Jingfang Liu ◽  
Jun Kong
Keyword(s):  
Mental Health ◽  
Text Mining ◽  
Mental Disorders ◽  
Empirical Analysis ◽  
Online Community ◽  
Information Quality ◽  
Social Experience ◽  
Adoption Model ◽  
Health Communities ◽  
Information Adoption

An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

Determinants of adoption of mobile health services

2015 ◽  
Vol 39 (4) ◽  
pp. 556-573 ◽  
Author(s):  
Euehun Lee ◽  
Semi Han
Keyword(s):  
Mobile Health ◽  
Structural Equation ◽  
Service Research ◽  
Content Type ◽  
Consumer Value ◽  
Illness Experiences ◽  
Integrated Research ◽  
Adoption Model ◽  
Quota Sampling ◽  
Adoption Intention

Purpose – The purpose of this paper is to explore the mobile health adoption behaviour of potential adopters and to provide guidelines for mobile health success. This study applied both health behaviour and consumer value research and developed an integrated research model to encourage mobile health adoption. Design/methodology/approach – The authors contacted about 1,800 potential respondents living in Seoul, Korea. The authors used stratified sampling to choose sampling areas and quota sampling to select the final sampling unit. A total of 550 interviews were conducted, and the data were analysed using a structural equation modelling technique with linear structural relations. Findings – The results demonstrate that usefulness, convenience and monetary values of mobile health positively influence adoption intention. Convenience and monetary values are strongly perceived by individuals who have experienced illness, but the effect of illness experiences on the usefulness value is insignificant. Gender, age and income do not influence adoption intention. Originality/value – There is no research yet studies mobile health adoption behaviour in the integrated view of consumer value and the health service research. This integrated adoption model of mobile health can be a response of the calls to develop the mobile health adoption model adapted to the health context and to identify added predictors of the mobile health adoption.

Examining Online Health Community Users’ Information Adoption Intention

2022 ◽  
Vol 35 (1) ◽  
pp. 0-0
Keyword(s):  
Social Interaction ◽  
Information Quality ◽  
Source Credibility ◽  
The Sustainable Development ◽  
Argument Quality ◽  
Online Health Communities ◽  
Health Community ◽  
Health Communities ◽  
Adoption Intention ◽  
Information Adoption

Due to the doubt on information credibility, users often hesitate to adopt the health information posted on online health communities (OHC). This may undermine the sustainable development of OHC. The purpose of this research is to identify the determinants of OHC users’ information adoption intention. The results indicated that both information factors and social interaction affect the adoption intention. Information factors include argument quality and source credibility, whereas social interaction includes perceived similarity and familiarity. The results imply that OHC need to ensure information quality and support users’ interaction in order to facilitate their information adoption.

scholarly journals The Effect of YouTube eWOM on Consumer Buying Interest

Revista CEA ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. 167-179
Author(s):  
Amar Nuriman Izudin ◽  
Endang Ruswanti ◽  
Moehammad Unggul Januarko
Keyword(s):  
Structural Equation ◽  
Information Needs ◽  
Information Quality ◽  
Reasoned Action ◽  
Equation Model ◽  
Quality Information ◽  
Analysis Techniques ◽  
Adoption Model ◽  
Acceptance Model ◽  
Information Adoption

YouTube creates valuable social media opportunities in eWOM content. Individuals currently discuss products and other matters with their friends and new acquaintances over the internet. The purpose of this study was to determine the effect of YouTube eWOM conversations on consumer buying interest. Based on the Information Adoption Model (AIM) and the Theory of Reasoned Action (TRAM), we developed a new conceptual model: The Information Acceptance Model (IACM). In this quantitative study, the population under analysis, composed of followers of a YouTube channel, was selected using purposive sampling so that the number of respondents was 200. We implemented data analysis techniques using the Structural Equation Model with Lisrel. The results show that information quality, information credibility, information needs, information usefulness, information adoption, and attitude towards information influence consumer buying interest.

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