• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.1
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• pp.56-64
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• 2011

Ecotourism is an alternative tourism which can be defined as responsible tourism in natural areas. This study deals with changing the tourists' environmental attitudes of ecotourism activities based on the elaboration likelihood model(ELM). The surveys were conducted based on the same participants to clearly measure the differences of environmental attitudes between pre and post-participation ecotourism activities. A total of 183 samples were collected in Upo Wetlands. The results showed that there were significant differences in the tourists' environmental attitudes between pre and post-participation ecotourism activities. This indicates that ecotourism participants delicately reinforce their eco-friendly attitudes through various ecotourism experiences and educational programs. The most significant finding is that anti-environmental behavior can be relieved with eco-friendliness through participation in ecotourism.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.649-659
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• 2018

We studied on factors influencing product purchase intention in Taobao live streaming shopping by adopting the Elaboration Likelihood Model (ELM). We used the survey method to collect the data and examine the hypotheses. The results are as follows. Source attractiveness has stronger effect on attitude toward product in the condition of hedonic product than in the condition of utilitarian product. Argument Quality has stronger effect on attitude toward product in the condition of utilitarian product than in the condition of hedonic product. In additional analysis, in the condition of the hedonic product, both of the source attractiveness and the argument quality have a positive effect on the attitude toward product. While argument quality has a positive effect on attitude toward product, but the attractiveness has no significant effect on the attitude toward product in the condition of utilitarian product. Finally, attitude toward product has a positive effect on product purchase intention.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.223-233
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• 2022

In this paper, we examined the causes of information privacy concerns, trust and related factors in social network services. On the basis of the 'elaboration likelihood model,' we established factors such as information quality, privacy policy, perceived SNS app popularity and optimism bias affecting information privacy concern of SNS users. In addition, we analyzed the relationship between information privacy concern, trust in SNS members, trust in SNS platform and intention to use. Finally, on the basis of the 'trust transfer theory', we analyzed the relationship between trust in SNS members and trust in SNS platform. The results of the study showed that (1) information quality, privacy policy and optimism bias had the significant effects on information privacy concerns, (2) perceived SNS app popularity didn't affect information privacy concerns, (3) information privacy concerns had the significant effects on trust in SNS platforms (4) in accordance with the trust transfer theory, trust in SNS members had the significant effect on trust in SNS platforms, and (5) trust in SNS members had the significant effect on intention to use, while trust in SNS platform didn't have the significant effect on intention to use. The findings of the study are expected to help to improve the SNS firms' understanding towards customers' information privacy protection behaviors and trust.

• Knowledge Management Research
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• v.24 no.4
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• pp.153-176
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• 2023

Generative AI, especially conversational AI like ChatGPT, has recently gained traction as a technological alternative for automating customer service. However, there is still a lack of research on whether current generative AI technologies can effectively replace traditional human managers in customer service automation, and whether they are advantageous in some situations and disadvantageous in others, depending on the conditions and environment. To answer the question, "Can generative AI replace human managers in customer service activities?", this study conducted experiments and surveys on customer online reviews of a food delivery platform. We applied the perspective of the elaboration likelihood model to generate hypotheses about whether there is a difference between positive and negative online reviews, and analyzed whether the hypotheses were supported. The analysis results indicate that for positive reviews, generative AI can effectively replace human managers. However, for negative reviews, complete replacement is challenging, and human managerial intervention is considered more desirable. The results of this study can provide valuable practical insights for organizations looking to automate customer service using generative AI.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.333-339
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• 2013

This research explores the effect of TV news anchor's gender on affect of viewer and memory of news based on elaboration likelihood model. For this experimental research, 2 groups of subjects composed of university students were exposed to different types of TV news and responded to survey questions about affect and short-term and long-term memory. This research found that subjects exposed to woman anchor's news showed higher degree of affect and short-term memory, but lower degree of trust than subjects exposed to man anchor's news, but interactive effect of viewers' involvement and anchor's gender as an peripheral clue was not found.

• Management & Information Systems Review
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• v.26
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• pp.61-90
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• 2008

The purpose of this paper is to investigate the effects of anti-smoking advertising on attitude toward anti-smoking and behavioral intention to quit smoking in terms of audience's involvement with anti-smoking and knowledge on smoking. For this, a total of 10 hypothesis were established and statistically tested. According to the results, all but hypothesis 1-1(attitude toward anti-smoking is more favorable in the high involvement condition than in the low involvement condition) were unfortunately rejected. These results can be justified by theoretical explanations such as Hierarchy Effects Model or Elaboration Likelihood Model. In addition, some methodological reasons were provided as well.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.1-30
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• 2008

This paper proposes an integrated model of customer loyalty in the context of Internet shopping based on a review of two competing perspectives - transactional and relational views. The research model suggests that the usability and trust associated with an Internet shopping site are key determinants of customer loyalty. In this paper, factors such as promotion, ease of use/navigation, and purchase facilitation are posited as major determinants of usability. Trust, on the other hand, is assumed to be influenced by the quality of communication, social shopping service, and safety level associated with an Internet shopping site. This paper also asserts that the lack of consideration for individual differences is one of the key reasons for the inconsistent and mixed research findings in user acceptance literature. In this regard, the elaboration likelihood model (ELM) is considered to be appropriate referent theory as it may theoretically explain why a particular information technology (IT) related message has varying influences on different adopters. The research model comprising 11 hypotheses was derived from and validated through a survey involving 271 university students. The partial least square(PLS) method was used to test the suitability of the research model and its hypotheses. Overall, the results suggest that the usability and trust associated with an Internet shopping site play an important role in acquiring loyal customers. In particular, the user's Internet shopping involvement is found to moderate the relationship between trust and customer loyalty.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.539-544
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• 2007

Infomediary, playing an important role in e-commerce, provides refined a product information and the price dispersion of product. This paper use the elaboration likelihood model to explain how level of involvement with a product moderates the impact of price dispersion and product information quality on product attitude. The study produces three major findings : (1) the quality of product information produced by infomediary has a positive effect on consumers' product attitude, (2) For low-involvement consumer, price dispersion of product positively affect consumers' product attitude. For high-involvement consumer, negatively affect, (3) low-involvement consumer are affected by the price dispersion rather than the quality of product information, but high-involvement consumer are affect by price dispersion mainly when the quality of product is low. These finding have implications for on-line infomediaries in terms of how to manage their users.

• Asia pacific journal of information systems
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• v.28 no.1
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• pp.61-74
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• 2018

Meeting, Incentive travel, Convention, Exhibition (MICE) industries recently introduced new information systems, such as the exhibition guide system (EGS), to keep pace with Smart MICE and maximize the effect of exhibition performance. We investigate how persuasive EGS can affect the EGS acceptance of attendees via cognitive and affective response. We analyzed data from 442 EGS users at an exhibition. We found that information accuracy, information relevance, and source credibility were predictors of cognitive response. Source credibility had a significant effect on affective response. Furthermore, cognitive response was found to be a positive predictor of affective response and EGS acceptance. We also found affective response is a predictor of EGS acceptance. The theoretical and practical implications of the study were presented based on the results.

• Knowledge Management Research
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• v.14 no.4
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• pp.1-17
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• 2013

As online communities proliferate, online news sites have received great attention in news media research. Although most of the online news sites provide contents for free, some have adopted the Pay-What-You-Want (PWYW) model by offering a voluntary payment option to the readers. In this study, we investigate the factors which influence subscribers' voluntary payment behavior on an online news site. Drawing upon both the Stimulus-Organism-Response (SOR) framework and the Elaboration Likelihood Model (ELM), we hypothesize that appreciation has a direct effect on the subscribers' voluntary payment behavior, whereas central factors (positive emotional content, cognitive content) and peripheral factors (news sharing, news article length) of the news articles have indirect impacts on voluntary payment behavior through the enhanced appreciation. Based on an empirical analysis of 172 news articles from the Korean online news site that adopted the PWYW pricing model (i.e., Ohmynews.com), we find that appreciation plays a critical role in voluntary payment behavior and that peripheral factors have significant impacts on appreciation. However, the impacts of central factors on appreciation are not found. By identifying influencing factors of subscribers' voluntary payment behavior on online news sites for the first time, this paper suggests a prospective alternative profit model for online news providers faced with fierce competition.