A Study of Online HMR Consumer’s Dietary Environment and the Information Acceptance Process: Application of Information Adoption model

2021 ◽  
Vol 16 (3) ◽  
pp. 83-105
Author(s):  
Mi-Ran Jun ◽  
Mi-Jin Kim
Keyword(s):  
Adoption Model ◽  
Information Adoption ◽  
Information Acceptance

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.

How information acceptance model predicts customer loyalty?

2020 ◽  
Vol 33 (1) ◽  
pp. 60-73
Author(s):  
Tiwa Park
Keyword(s):  
Social Media ◽  
Customer Loyalty ◽  
Purchase Intention ◽  
Structural Equation ◽  
Information Quality ◽  
Information Need ◽  
Content Type ◽  
Acceptance Model ◽  
Information Adoption ◽  
Information Acceptance

Purpose This study aims to explore the influence of electronic word of mouth (eWOM) in social media on customer loyalty by using the information acceptance model (IACM). For this purpose, this study identified the relationship of attitude towards information, information credibility, information quality and information with information usefulness. Later, the relation of information usefulness and information adoption was examined. According to the IACM, this information adoption and attitude towards information can affect behavioural outcomes of customer, and the authors used customer loyalty as a behavioural outcome. Design/methodology/approach This study collected the data from students enrolled in different universities of Thailand. More specifically, those students were considered appropriate for study who were active Facebook users. Therefore, a questionnaire was posted in 83 different Facebook groups of university students, from which 771 students responded properly. SPSS and AMOS 24 were used to conduct data reliability, descriptive and correlation analysis, confirmatory factor analysis (CFA), and structural equation modelling (SEM). Findings The study found that credibility, quality, usefulness and adoption of information, need of information and attitude towards information are the key factors of eWOM in social media that influence consumers’ loyalty. Practical implications This study will be helpful for marketing managers in studying patterns of customer loyalty because many studies have previously examined purchase behaviour or purchase intention only. Moreover, it will provide framework to marketers for understanding the influence of eWOM information in social media on customer loyalty. Originality/value This study is to explore the effect of credibility, quality, usefulness and adoption of information, need of information and attitude towards information on consumers’ loyalty.

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.

scholarly journals Analisis Niat Pembelian Pada Instagram Online Shopping Menggunakan Information Acceptance Model (IACM)

2020 ◽  
Vol 8 (1) ◽  
pp. 22-30
Author(s):  
Wahyutama Fitri Hidayat ◽  
Rangga Sanjaya ◽  
Ali Mustopa
Keyword(s):  
Purchase Intention ◽  
Information Needs ◽  
Online Shopping ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Purchase Intentions ◽  
Significance Level ◽  
Acceptance Model ◽  
Information Adoption ◽  
Information Acceptance

Along with the development of technology and information, it also has an impact on the product sales media, one of which is through Instagram online shopping. The results of the surf show that comments (electronic word of mount) are on Instagram online shopping. This study aims to analyze the effect of the electronic word of month (EWOM) on purchase intentions using the Information Acceptance Model (IACM) model. The method used in this research is descriptive quantitative to find out the cause and effect relationship of IACM variables. The population in this research is Instagram users who have seen product promotions through Instagram. The sampling technique used is incidental sampling by distributing questionnaires online. The data analysis technique used is multiple linear regression analysis. Based on the results of the research, it can be concluded that the electronic word of mount found on Instagram online shopping has a significant partial effect on purchase intention. This can be seen from the results of the calculation of all the t-count variables 0.191 and the  significance level 0.05. Based on the results of the calculation of the determination coefficient (R2), the magnitude of the effect on the benefits of information is information quality 19.5%, information credibility 41.3%, information needs 13.9%, and attitudes towards information 28.6%. The results of information adoption are affected by 11.2% of the benefits of information. Other lts show that 24.9% of information adoption affects purchase intentions. While attitudes toward information affect 38.9% of purchase intentions.

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