• Journal of Digital Convergence
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• v.19 no.11
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• pp.135-144
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• 2021

This study investigates the underlying mechanism of YOLO in millennial consumer, especially the influence of perceived economic recession on the present-biased preference. In addition, it was attempted to expand the implicit theory by proposing the individual's entity belief as a mediator for the effect of perceived economic situation on consumers' present-biased seeking behavior. In three experimental studies, undergraduate students who both highly primed and measured negative economic situation showed more favorable attitudes towards present-biased persuasive message and related products. The results of this research provides practical implication for marketers especially in the current situation experiencing economic slowdown due to low economic growth and COVID 19.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.411-421
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• 2014

This study investigated the effect of cognitive narrowing on the consumers' belief biases in the light of the escape theory. Current study researched the relationship between the cognitive narrowing and the consumers' belief biases. The result of this study is as below. The degree of the consumers' belief biases is higher when the degree of the cognitive narrowing is higher than lower. On the basis of this result, theoretical and practical implications were suggested and the limitations and future research were discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.2
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• pp.229-237
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• 2016

The purpose of this paper is to empirically identify whether unit bias exists or not under the flat rate pricing in the Korean mobile telecommunication market and to give the desirable form of pricing plans for minimizing this irrational behaviors. Our results show that with the flat rate pricing consumers tends to make more voice or data traffic over their optimal consumption level, meaning the existence of unit bias in the Korean mobile market. These results imply that under the current pricing plans subscribers may pay higher monthly fee than their optimal cost which maximizes their utility, for using the telecommunications service. Thus, policy makers need to consider adopting mobile operators' segmentation of the flat rate pricing plans for the reduction of subscribers' telecommunications costs and the improvement of consumer welfare.

• Knowledge Management Research
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• v.21 no.4
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• pp.227-241
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• 2020

In the acceptance of new technology products, not only the characteristics of the product itself, but also the consumer's psychological perception of the product has a great influence. This study analyzed the effects of psychological variables such as perceived risk, technology trust, and optimistic bias on consumers' intention to accept new technology products. This study selected nanotechnology, and we found consumers with high perceived risk showed relatively low intent to accept nanotechnology products compared to consumers with high perceived risk. However, in case of high level of technology trust, consumers with high perceived risk did not show any significant difference in the intention to accept nanotechnology products. We also found that such moderating effect of technology trust is mediated by optimistic bias. We hope that the findings of this study can give meaningful implications to nanotechnology developers, marketers, and policy makers in nanotechnology industry.

• Knowledge Management Research
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• v.23 no.2
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• pp.229-251
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• 2022

Online reviews are useful for other consumers to make reasonable purchase decisions by providing previous buyers' experiences. However, when online reviewers are biased, online reviews do not accurately reflect the true quality of the product. Therefore, we investigated the characteristics of reviewers with underreporting bias to cope with the problem of declining reliability of online reviews. In this context, this study attempted to examine the characteristics of reviewers with underreporting bias using 14,165 reviews of Steam, an online game platform. As a result of the analysis, reviewers with underreporting bias mainly write reviews positively, write reviews within a short period from the game release date, but tend to write reviews after playing games for longer time, and write reviews when purchasing high-priced games. Since this study has explored the characteristics of reviewers showing underreporting bias, it will be meaningful as a basic study to cope with the problem caused by underreporting bias.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.728-736
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• 2007

P2P 파일공유는 1999년 처음 등장한 이래 저작권 침해로 디지털 콘텐츠 시장을 파괴하는 '해적'으로 간주 되어왔다. 하지만 최근 들어 P2P 시장의 산업적 가능성을 새롭게 주목하는 움직임이 나타나고 있다. 아울러 학계에서는 P2P의 경제적 영향력을 공급자 편향의 시각이 아닌 소비자 측면을 포함한 균형적 관점으로 바라보기 시작했다. 본 연구 역시 균형적 관점에서 P2P를 바라보려는 접근법의 일환으로, P2P 영화파일 공유 이용자들의 영화소비패턴을 실증적으로 살펴보고자 하였다. 실제 P2P 영화파일 공유 이용자들에 대한 설문결과, 이용자들은 단일한 영화소비성향을 가지고 있지 않았으며 다운로드와 극장 관람빈도가 모두 높은 이른바 '얼리어답터'형과 다운로드를 극장관람의 대체재로 여기는 소위 '해적'형이 공존하고 있었다. 이 중 그간 산업계에서 우려하던 해적형의 비율은 10% 정도로 낮았고, 대부분의 P2P 이용자들은 오히려 일반 극장 관람객보다 더 적극적으로 극장소비를 하는 사람들로 영화산업에 긍정적인 기여를 하는 것으로 밝혀졌다. 이러한 소비자 분석결과는 향후 본격화되고 있는 P2P 다운로드 유료화 시장에 대한 전망을 밝게 하는 것으로, 현재 유료화에 있어 가장 중시해야 할 것은 불법 무료 다운로드에 대한 경계가 아니라, 소비자 편의적인 시스템의 개발임을 시사한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.125-134
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• 2021

With the rapid development of the film industry, the number of films is significantly increasing and movie recommendation system can help user to predict the preferences of users based on their past behavior or feedback. This paper proposes a movie recommendation system based on the latent factor model with the adjustment of mean and bias in rating. Singular value decomposition is used to decompose the rating matrix and stochastic gradient descent is used to optimize the parameters for least-square loss function. And root mean square error is used to evaluate the performance of the proposed system. We implement the proposed system with Surprise package. The simulation results shows that root mean square error is 0.671 and the proposed system has good performance compared to other papers.

• International Commerce and Information Review
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• v.19 no.4
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• pp.127-145
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• 2017

The study focuses on the ICT industry, which is considered future growth engine. Tthe main objective of the research is to examine the extent of the competitiveness of the Chinese ICT industry, which is rapidly emerging as a competitor of the ICT industry in Korea. The ICT items subject to primary analysis of this study were computer and peripherals items. Analysis methods used were MSI (Market Share Index), EBI (Export Bias Index), and MCA (Market Comparative Advantage). The analysis period was from 2008 to 2016, and the analysis dater used were the export-import data provided by KITA. According to the study, Korean market share of Chinese computers and peripherals items has continued to increase, exports concentrated on the Korean market are intensifying, though the degree of competitiveness gained by the Korean market is quite strong. In particular, 852851, 847160 items have the largest competitiveness in the Korean market compared to other items used in this study. The implications of this study for the Korean market are as follows: i) improvement of quality with price ii) convergence product development between computer and peripherals items and consumer -friendly design development, and iii) marketing efforts to improve product awareness so that consumers recognize Korean computer and peripherals products.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.165-170
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• 2018

The purpose of this study is to recognize the necessity of smart furniture for single - person households and to suggest final design. It is assumed that smart furniture that meets the demand can be released in the future. To this end, we intend to solve the needs of the smart technology of the subject through in-depth interviews and persona establishment through demand research. Currently, the number of single-person households is expected to increase steadily and become the most important form of household composition in the future. In the future, it will be analyzed based on the in-depth interview after the target selection for the target needs research. Then, after insights are gathered through in-depth interviews, we apply the applicable smart technology to create the expected scenarios and draw conclusions about how smart furniture will function in the future.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.161-173
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• 2002

The increasing disposable time through advancing information has come to make the tourism industry as well as the information communication industry glow in the 21st century We cannot make rational decision without proper guide information. It is impossible to anticipate tourism Products which are invisible products consisting of a variety of basic combinations of products. Tourists are getting dissatisfied with tourism experts' distorted guidance every year. A recent survey shows that the current tourism information system can't meet the need of tourists who are informative and individualized. This paper presents tourism information system that offers the most appropriate tour courses depending on the tastes of tourists by utilizing expert system, artificial intelligent applied technology. This paper is the first attempt to maximize comsumer satisfaction by developing the intelligent agent system that is able to reflect the traits of individualized customers' in the tourism industry The establishment of this system will contribute to activating the tourism industry, ultimately, by decreasing inconveniencies and tour schedules appropriate to the purpose of individual tours.