• Journal of Korean Society of Forest Science
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• v.96 no.4
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• pp.377-386
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• 2007

This study testes an application possibility of the Elaboration Likelihood Model broadly used in communication science into forest science and examines the communication effects according to the media types. To examine the effectiveness of this model, the study sets involvement, the need for cognition, and the need for effect as motivation variable and prior knowledge as an ability variable. Most variables appear to be significant in the regression analysis and results of the study verify the possibility of the application of the Elaboration Likelihood Model in forest science. To measure the media effects, a simulation is also carried out using three media including television, newspaper, and the Internet. According to ANOVA analysis, television is more persuasive than newspaper, and there is no difference between television and the Internet in terms of persuasiveness. Regarding recall, television and the Internet are more effective than newspaper. Finally, the present study suggests effective and efficient forest communication policies based on the results.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.49-65
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• 2012

This study aims to investigate the factors influencing followers' continuous usage intention of twitter based on Elaboration Likelihood Model. In particular, central route(information itself) and peripheral route(twitterian's trustworthiness) are tested to reveal which has a more influential role in effecting the continuous usage intention of power-twitter. Furthermore, this study tests the relationship of users' attitude and continuous usage intention. The results indicate that argument quality, accuracy(central route), source expertise and source trustworthiness (peripheral route) have an influence on attitude. However, trustworthy on central route is not significant. Argument quality, trustworthy, accuracy(central route) and source expertise(peripheral route) have an influence on perceived usefulness. But source trustworthiness on peripheral is not significant. Attitude has an influence on perceived usefulness, and attitude and perceived usefulness both have an influence on perceived usefulness. In conclusion, central route is more influential than peripheral route in forming a positive attitude towards arguments, which in turn leads to the perception of twitter's usefulness, and in the end brings the continuous usage intention of twitter.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.1-21
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• 2016

Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.

• Asia pacific journal of information systems
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• v.24 no.1
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• pp.65-91
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• 2014

Our study adopted ELM (Elaboration Likelihood Model) to measure the impact of central and peripheral cues on e-healthcare website behavior and its consequence on perceived loyalty of users. While most of ELM studies did not elaborate the antecedent of both central and peripheral cues, we measured the antecedents of those information processing routes to clarify how technical and quality factors (i.e. information organization, security concern, and website attractiveness) develop the nature of either central or peripheral route. We found that information organization was the main antecedent of information quality presented on the website. Second, the results revealed that website security has a positive effect on website credibility. Third, we also found that website attractiveness was positively associated with website credibility. Fourth, consistent with elaboration likelihood model, the empirical findings suggested that information quality (central cue) and website credibility (peripheral cue) were strong predictors of behavior intention to use health website. Our findings also suggested that behavior intention to use health website significantly influenced perceived loyalty.

• Knowledge Management Research
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• v.10 no.4
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• pp.115-131
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• 2009

This paper attempts to show that consumers' own information processing mode can play an important role in inducing favorable product evaluations, which is the most key goal of marketing. Th elaboration likelihood model contends that consumers' motivation and knowledge, in addition to the outside marketing information, affects the evaluation process. On the other hand, The resource matching hypothesis suggests that an excessively high level of information processing may lead to negative evaluations. In this study, Need for closure exacerbated overall evaluations of consumers. Such relationship was more salient in the condition of low severity that in the condition of high severity. Also under the situation of low severity, consumers with high level of relevant knowledge made evaluations more favorable, compared to the consumers of low knowledge. On contrast under the situation of high severity, relevant knowledge leaded to less favorable evaluations. This experiment identifies the appropriateness of the elaboration likelihood model and the resource matching hypothesis. Especially This study suggests an rare example that consumers' knowledge may not paly an desirable role in making their judgments.

• The Korean Journal of Emergency Medical Services
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• v.19 no.3
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• pp.51-68
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• 2015

Purpose: This study validated the influential relations between the effects of emergency care quality, credibility of 119 emergency medical technicians (119 EMTs), and perceived usefulness and attitude of emergency care, focusing on the moderating effect of protectors' characteristics (education, experience, age, and recognition of patient severity). Methods: This study was based on elaboration likelihood and technology acceptance models. In total, 172 protectors with experience in utilizing prehospital service were surveyed from April 1 to July 31, 2011. Results: The results showed that the emergency care quality and the credibility of 119 EMTs were the main determinants of the perceived usefulness and attitude of emergency care, irrespective of the protector's characteristics (p <.001). In addition, the findings showed that the protector's intention of emergency care had a moderating role. The impact of the quality of emergency care on its perceived usefulness was greater for high-level protectors (p <.001). By contrast, the impact of the credibility of 119 EMTs on the perceived usefulness of emergency care was greater for low-level protectors (p <.001). Conclusion: The protectors' characteristics have different influences on the relations between the effects of emergency care quality, the 119 EMT credibility, and the perceived usefulness and attitude of emergency care.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.41-58
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• 2009

This research investigated how people are influenced to adopt online review. We applied the Elaboration Likelihood Model (ELM) and the Technology Acceptance Model (TAM) to this study. Our research model highlights the assessment of online review usefulness as a mediator from online review quality to online review adoption. This research predicted online review consensus has a role to bulid up online reviw usefulness. This study also includes vividness and perceived similarity as determinants of online review quality. Survey data reflect user's perceptions of actual online review they read. Results support most of research hypotheses except hypothesis related to moderating effect of user involvement. This research offers a model for understanding online review user's acceptance. Additional theoretical and practical implications are also discussed in the paper.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.93-112
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• 2011

For the success of an online retail market, it is important to allow consumers to get more helpful reviews by figuring out the factors determining the helpfulness of online reviews. On the basis of elaboration likelihood model, this study analyzes which factors determine the helpfulness of reviews and how the factors affecting the helpfulness of an online consumer review differ for product price. For this study, 75,226 online consumer reviews were collected from Amazon.com. Furthermore, additional information on review messages was also gathered by carrying out a content analysis on the review messages. This study shows that both of peripheral cues such as review rating and reviewer's credibility and central cues such as word count of review message and the proportion of negative words influence the helpfulness of review. In addition, the result of this study reveals that each consumer focuses on different information sources of reviews depending on the product price.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.574-585
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• 2019

The acceleration of digital transformation (DX) has resulted in SNS influencer marketing trends becoming the mainstream of the new market. SNS influencers act as early adopters in the process of new products being accepted. Chinese consumers are most affected by Hallyu, which increases interest in K-beauty products. This study analyzes how K-beauty SNS influencers are related to Chinese consumers. A survey was conducted among Chinese millennial consumers after watching videos provided by K-beauty SNS influencer; subsequently, 456 responses were used for data analysis. As a result, the analysis based on the Elaboration Likelihood Model (ELM) distinguishes the central route and the peripheral route in the process of Chinese consumers accepting new SNS products. The study findings suggested that information quality, credibility, accuracy, and usefulness had significant effects on acceptance intention for new products among central route factors, and similarity, trustworthiness, pleasure, expertise, and attractiveness also had significant effects on the acceptance intention of new product among peripheral route factors. It was found that variables of the central route, rather than those of peripheral route, had stronger effects on the acceptance intention for new products. Consequently, the central route of K-beauty SNS influencer is more important to Chinese consumers' acceptance of new products. It is expected that this study will offer beauty influencer marketing-based cosmetics brands efficient consumer management suggestions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2609-2626
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• 2023

The hotel industry is an example of experiential services. As consumers cannot fully evaluate the online review content and quality of their services before booking, they must rely on several online reviews to reduce their perceived risks. However, individuals face information overload owing to the explosion of online reviews. Therefore, consumer cognitive fluency is an individual's subjective experience of the difficulty in processing information. Information complexity influences the receiver's attitude, behavior, and purchase decisions. Individuals who cannot process complex information rely on the peripheral route, whereas those who can process more information prefer the central route. This study further discusses the influence of the complexity of review information on hotel ratings using online attraction review data retrieved from TripAdvisor.com. This study conducts a two-level empirical analysis to explore the factors that affect review value. First, in the Peripheral Route model, we introduce a negative binomial regression model to examine the impact of intuitive and straightforward information on hotel ratings. In the Central Route model, we use a Tobit regression model with expert reviews as moderator variables to analyze the impact of complex information on hotel ratings. According to the analysis, five-star and budget hotels have different effects on hotel ratings. These findings have immediate implications for hotel managers in terms of better identifying potentially valuable reviews.