ABSTRACT
The COVID-19 pandemic has forced many brands to stop using cosmetic testers to avoid the risk of spreading the infection, jeopardising the future of cosmetic testing. Consequently, consumers must find alternative methods to conduct their information searches and, more importantly, the prospects of shopping online without going to the store to test the product. With the enormous prospects of social media cosmetic electronic word of mouth (eWOM), it is imperative to examine the influence of cosmetic eWOM on social media and for cosmetic marketers to understand the antecedents that result in cosmetic consumers making a purchase. The adapted information adoption model was validated through structural equation modelling based on 341 eligible surveys. The results confirmed that information quality, source credibility, information usefulness, and information adoption are the key antecedents in eWOM on Instagram when investigating purchase intentions in the colour cosmetic industry. This study is one of the pioneers in empirically testing the relationship between information quality and source credibility on information usefulness and, subsequently, the relationship between information usefulness, information adoption, and purchase intentions in a western market based on the cosmetic industry. These new insights provide practical implications for a cosmetic marketer, suggesting the key variables leading to purchase intentions in cosmetic eWOM, which can be utilised in marketing techniques.
ABSTRACT
The demand for online food delivery has increased considerably throughout the world during the COVID-19 pandemic. Consumers' habits in searching for information on and making decisions about ready-to-eat food have changed remarkably during this time. The purpose of this research is to explore consumers' use of online food delivery services (OFDS) during the pandemic via applications (apps) and the moderating role played by the consumers' perceived trust in the information. Data were collected from 246 users through e-mail and structural equation modeling using PLS-3 was used to analyze the data. We have shown 12 recent insights into OFDAs behavioral intention. We found that information and food service attributes influence the perceived usefulness of OFDS and ultimately shape the respondents' intention to use it. Behavioral intention toward OFDS and perceived trust have a considerable influence on the use of OFDA. This research offers insights into the effects of the pandemic on the food delivery market and shows the dynamics of the interrelationships among various information- and restaurant-related attributes that lead to actual use.
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PurposeThis study aims to investigate perceptions about interactive travel websites. The researchers hypothesize that engaging content, the quality of information and source credibility have a significant effect on the consumers' utilitarian motivations to continue using them in the future.Design/methodology/approachA structured survey questionnaire was used to gather data from 1,287 online users, who were members of two popular social media groups. The methodology relied on a partial least squares approach to analyze the causal relationships within an extended information adoption model (IAM).FindingsThe findings reveal that the research participants perceive the utility of interactive travel websites and are willing to continue using them, particularly the responsive ones. The research participants suggest that these sites are easy to use, capture their attention and offer them useful information on various tourism services. The results also indicate that they appreciate their source credibility (in terms of their trustworthiness and expertise of their curators) as well as their quality content.Research limitations/implicationsThis study integrates key measures from the IAM with a perceived interactivity construct, to better understand the individuals' acceptance and use of interactive websites.Practical implicationsThis research implies that service businesses ought to have engaging websites that respond to consumer queries in a timely manner. Hence, they should offer a seamless experience to their visitors to encourage loyal behaviors and revisit intentions to their online domains.Originality/valueTo the best of the authors' knowledge, there are no other studies that incorporated an interactive engagement construct with key constructs from IAM and from the technology acceptance model (TAM). This contribution underlines the importance of measuring the individuals' perceptions about the engagement capabilities of interactive media when investigating information and/or technology adoption.
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This study tries to determine if social media argument quality, social media source credibility and perceived usefulness can predict information adoption by the user shared through social media platforms. Data was collected from 376 social media users through online surveys that helped gauge user behavior. The results of the study revealed that perceived usefulness is not a predictor of information adoption. The results of the study revealed that perceived usefulness is not a predictor of information adoption but there is a significant relationship between information adoption and participatory behavior especially when the information is shared through social media networks. The study would help its stakeholders understand the predictors of information adoption. It reveals the importance of credibility of the source Moreover, the central point at issue is still argument quality. Acceptance of the information would lead to the participatory behavior by the user. In this study information exchange and user-generated content have both benefited from social networking. © 2022. Journal of Content, Community and Communication. All Rights Reserved.
ABSTRACT
(1) Background: During the COVID-19 pandemic, users share and obtain COVID-19 information through video platforms, but only a few COVID-19 videos become popular among most audiences. Therefore, it is a very interesting and important research question to explore the influencing factors of the popularity of COVID-19 videos during the COVID-19 pandemic; (2) Our research collects video data related to the keyword "COVID-19" on video platform, the data are analyzed by content analysis and empirical analysis. We then constructed a theoretical model based on the information adoption model; (3) A total of 251 videos were divided into three categories. The least common category was the data and analysis category (11.2%), followed by the prevention and control status category (13.5%); the knowledge and general science category was the most common (75.3%). From the perspective of video quality, the information sources of most videos are relatively reliable, and the content of medical information is low. The research results showed that short video lengths, longer descriptions, more reliable video sources and lower medical information content were more popular with audiences. Audiences are more likely to be attracted to videos in the prevention and control status category and knowledge and general science category. Videos uploaded by uploaders who have a higher influence are more popular with audiences; (4) Conclusions: During the COVID-19 pandemic, information quality (video length, description length, video content type, and medical information and content index) and source credibility (information source reliability, influence and certification type) all significantly influence the popularity level of COVID-19 videos. Our research conclusions can provide management suggestions for the platform, make videos released by uploaders more popular with audiences, and help audiences better understand COVID-19 information and make prevention and control efforts.
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BACKGROUND: COVID-19 has spread around the world and has increased the public's need for health information in the process. Meanwhile, in the context of lockdowns and other measures for preventing SARS-CoV-2 spread, the internet has surged as a web-based resource for health information. Under these conditions, social question-and-answer communities (SQACs) are playing an increasingly important role in improving public health literacy. There is great theoretical and practical significance in exploring the influencing factors of SQAC users' willingness to adopt health information. OBJECTIVE: The aim of this study was to establish an extended unified theory of acceptance and use of technology model that could analyze the influence factors of SQAC users' willingness to adopt health information. Particularly, we tried to test the moderating effects that different demographic characteristics had on the variables' influences. METHODS: This study was conducted by administering a web-based questionnaire survey and analyzing the responses from a final total of 598 valid questionnaires after invalid data were cleaned. By using structural equation modelling, the influencing factors of SQAC users' willingness to adopt health information were analyzed. The moderating effects of variables were verified via hierarchical regression. RESULTS: Performance expectation (ß=.282; P<.001), social influence (ß=.238; P=.02), and facilitating conditions (ß=.279; P=.002) positively affected users' willingness to adopt health information, whereas effort expectancy (P=.79) and perceived risk (P=.41) had no significant effects. Gender had a significant moderating effect in the structural equation model (P<.001). CONCLUSIONS: SQAC users' willingness to adopt health information was evidently affected by multiple factors, such as performance expectation, social influence, and facilitating conditions. The structural equation model proposed in this study has a good fitting degree and good explanatory power for users' willingness to adopt health information. Suggestions were provided for SQAC operators and health management agencies based on our research results.
Subject(s)
Health Information Management/methods , Internet Use/trends , Adolescent , Adult , China , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Quality Control , Residence Characteristics , Surveys and Questionnaires , Young AdultABSTRACT
BACKGROUND: With the spread of COVID-19, an infodemic is also emerging. In public health emergencies, the use of information to enable disease prevention and treatment is incredibly important. Although both the information adoption model (IAM) and health belief model (HBM) have their own merits, they only focus on information or public influence factors, respectively, to explain the public's intention to adopt online prevention and treatment information. OBJECTIVE: The aim of this study was to fill this gap by using a combination of the IAM and the HBM as the framework for exploring the influencing factors and paths in public health events that affect the public's adoption of online health information and health behaviors, focusing on both objective and subjective factors. METHODS: We carried out an online survey to collect responses from participants in China (N=501). Structural equation modeling was used to evaluate items, and confirmatory factor analysis was used to calculate construct reliability and validity. The goodness of fit of the model and mediation effects were analyzed. RESULTS: The overall fitness indices for the model developed in this study indicated an acceptable fit. Adoption intention was predicted by information characteristics (ß=.266, P<.001) and perceived usefulness (ß=.565, P<.001), which jointly explained nearly 67% of the adoption intention variance. Information characteristics (ß=.244, P<.001), perceived drawbacks (ß=-.097, P=.002), perceived benefits (ß=.512, P<.001), and self-efficacy (ß=.141, P<.001) jointly determined perceived usefulness and explained about 81% of the variance of perceived usefulness. However, social influence did not have a statistically significant impact on perceived usefulness, and self-efficacy did not significantly influence adoption intention directly. CONCLUSIONS: By integrating IAM and HBM, this study provided the insight and understanding that perceived usefulness and adoption intention of online health information could be influenced by information characteristics, people's perceptions of information drawbacks and benefits, and self-efficacy. Moreover, people also exhibited proactive behavior rather than reactive behavior to adopt information. Thus, we should consider these factors when helping the informed public obtain useful information via two approaches: one is to improve the quality of government-based and other official information, and the other is to improve the public's capacity to obtain information, in order to promote truth and fight rumors. This will, in turn, contribute to saving lives as the pandemic continues to unfold and run its course.