• Smart Media Journal
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• v.12 no.6
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• pp.27-34
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• 2023

As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.

• Review of Korea Contents Association
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• v.18 no.1
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• pp.12-17
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• 2020

• Korea Information Processing Society Review
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• v.5 no.1
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• pp.113-118
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• 1998

• Korea Information Processing Society Review
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• v.10 no.4
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• pp.66-78
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• 2003

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.181-188
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• 2018

In this paper, we propose an analysis scheme of customer spending pattern using text mining. In proposed consumption pattern analysis scheme, first we analyze user's rating similarity using Pearson correlation, second we analyze user's review similarity using TF-IDF cosine similarity, third we analyze the consistency of the rating and review using Sendiwordnet. And we select the nearest neighbors using rating similarity and review similarity, and provide the recommended list that is proper with consumption pattern. The precision of recommended list are 0.79 for the Pearson correlation, 0.73 for the TF-IDF, and 0.82 for the proposed consumption pattern. That is, the proposed consumption pattern analysis scheme can more accurately analyze consumption pattern because it uses both quantitative rating and qualitative reviews of consumers.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.69-82
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• 2018

The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.

• Korean Management Science Review
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• v.22 no.1
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• pp.27-46
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• 2005

As the electronic commerce has grown dramatically, visiting the Internet shopping malls is accepted as one of our daily life. Despite many studies about user acceptance of the Internet shopping malls, it still remains unanswered how the Internet shopping mall's three quality factors such as system qualify, Information qualify, and service quality affect user trust, and eventually user acceptance of the mall. To investigate this issue, we propose a research model in which six external factors such as three qualify factors as well as self-efficacy, subjective norm, and trust have a significant impact on user's attitude and intention to use the mall. After garnering 244 valid questionnaires from users, we analyze them with structural equation modeling. Experiment results show that the Internet shopping mall's three quality factors such as system quality, information qualify, and service quality significantly Influence user trust for the mall, which in turn impacts user's perceived usefulness, attitude toward using the mall. Another external factors such as self-efficacy and subjective norm also influence user's perceived ease of use and perceived usefulness respectively, affecting user's attitude altogether. Implications and further research directions are presented.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.29
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• pp.89-119
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• 2006

The almost studies that is related to an e-Trade and an e-Marketplace only have been focused on the diffusion and acceptance since the innovation was adopted in markets. The existing studies failed to notice the resistance of innovation in the course of accepting innovation. The resistance of innovation, however, is not the contrary concept of acceptance, it is should be understood as a construct which can explain the course of the diffusion and acceptance. This study will be analysed as follows: First, nevertheless the resistance of users is important, it couldn't be presented systematically through acceptance of innovation, accordingly the concept of resistance of innovation will derive concept from review of literature researched on prior researches. Second, the factors which can be affected to the resistance of innovation of the main trade firms which use the e-Marketplace will draw. Third, we identify some of determinants that can affect to resistance of user by empirical study, also we investigate how participation can be affected by using a contingency variable. The independent variables used through researched review are the characteristic factors of trade e-Marketplace which was consisted of relative advantage, suitability and complexity, the characteristic factors of trade firms which was consisted of propensity of innovation and attitude, and the characteristic of service quality which was consisted of reliability and reaction. This research also examines the association between independent variables and the resistance of user(dependent variable) by using a variable on participation of user(moderator variable). The sample surveys for this study have been used 109, this study was analysed by the SPSS 12.0 of statistical tool. According to the proved hypothesis there are three important factors which affected the resistance of user. One factor was the relative advantage and complexity from the point of view on the trade firms characteristics of e-marketplace, another factor was the propensity of innovation from the point of view on the trade firms factors, the third factor was the reliance from the point of view on the service quality factors. The results also provided that relative advantage and suitability among the characteristics of e-Marketplace and the reliability among the service quality characteristics have moderated in the moderated regression which was tested the association independent variables and dependent variables while participation of user was using for contingency variable.

• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

• Korean Management Science Review
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• v.23 no.2
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• pp.59-74
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• 2006

In this paper, we investigated economic viability of UCA (Ubiquitous Contents Access) technologies from user adoption perspective. UCA technologies are expected to 9et embedded into media and telecom merging services. Embracing new technologies such as UCA technologies, forged through an industry convergence, means opting for a technological innovation that will have technological as well as economic and strategic implications. As such, we adopted user perspective innovation adoption theories to explore key antecedents affecting consumer acceptance of these emerging technologies. Subsequently. using QFD (Quality Function Deployment) method, the impacts of UCA technical functions on user's perceived value enhancements are estimated. The QFD analysis result indicates that the new UCA service technologies could achieve about 42% enhancement on user perceived adoption intention compared to existing digital contents service technologies. The proposed analysis framework and findings suggests significant insights for further research.