• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.65-82
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• 2020

Start-ups often use crowdfunding platforms such as Wadiz to get financing from corporate investors and general public. These platforms include functions to increase participant activity through the number of comments, interest and online word-of-mouth. This study aims to elucidate how these functions related to a participant activity exhibit mediating effects on a success of crowdfunding and an achievement rate of targeted investment amount. To this end, the individual variables such as progress period, target amount, venture company, experience of attracting investment, possession of intellectual property rights, a career of the representative and an award experience of the representative were classified into the project characteristics, the company characteristics and the representative characteristics through not only previous studies but also interviews with investment professionals and platform operators. Afterwards, this study went through an empirical verification process using a structural equation model that has both crowdfunding performance and participant activity, which is the independent and mediating factors of three perspectives, as well as the dependent variables. In other words, this study analyzes how the characteristics of three perspectives affect the participant activity and how the participant activity had the mediating effects on the crowdfunding performance. In addition, it derives how the analysis results mentioned above vary according to business types (internet services, culture/art, manufacturing/distribution) and investment styles (stock type and bond type). It is expected that this study will help not only in deriving the factors affecting the performance of an investment type crowdfunding but also in preparing the measures to increase a participant activity.

• Smart Media Journal
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• v.12 no.8
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• pp.37-44
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• 2023

This study investigated the influence of travel-related content on the popular short-form platform TikTok in China on users' intentions to visit travel destinations and purchase travel products. Conducted in July 2023, amidst the rising consumption of short-form content through mobile devices due to the COVID-19 pandemic, the research surveyed 337 participants using an online survey platform in China. The findings revealed that the entertainment factor within TikTok's content did not significantly impact the perception of travel destinations, whereas informativeness and trustworthiness had positive effects. Moreover, expertise and interactivity also had positive effects. The study demonstrated that the image of travel destinations formed through short-form content on TikTok positively and significantly influenced visitors' intentions. These results provide valuable insights for crafting effective strategies in the tourism industry and marketing efforts.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.137-144
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• 2022

This study is an empirical study on whether the interval of K-pop content updates and price changes consumer purchasing intentions for domestic fandom commerce platforms that turn their profit structure online and strengthen fandom-based marketing to cope with changes in the digital environment. FGI and a survey was conducted using a conjoint analysis designed to confirm the difference in price elasticity according to the content update interval. As a result, the price elasticity of K-pop content was found to be an inelastic characteristic, and the change in price elasticity according to the content update interval was not statistically significant. This study provides basic data to be used to establish a marketing strategy for the fandom commerce market that will grow in the future.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.20-38
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• 2023

Recently, car sharing has shown the most remarkable growth among sharing economy services. In the process of analyzing the intention to reuse the car sharing service, this study tried to reflect the unique characteristics of the service, which consists of non-face-to-face self-service, such as reservation, approval, handover, inspection, and return of the vehicle. Specifically, in addition to the perceived benefits and the perceived risks, we considered 'information quality' as a platform characteristic and 'self-efficacy' as a personal characteristic. To collect data, an online survey was conducted on adults with experience in car sharing, and a total of 320 responses were used for analysis. As a result of analyzing the structural equation model, it was found that information quality and self-efficacy increased the perceived benefits of services, and the higher the information quality, the higher the self-efficacy. On the other hand, the role of information quality and self-efficacy in lowering perceived risks was insignificant, and the intention to reuse services was more affected by perceived benefits than perceived risks. As a result of further analysis using Process Macro, it was found that the effect of self-efficacy on reuse intention was mediated by perceived benefits. It was analyzed that the indirect effects of information quality on reuse intention through perceived benefits or self-efficacy were all significant. These results suggest that providing timely, sufficient, and easy-to-understand information required by users on the platform improves self-efficacy and increases service reuse intention. In order to increase the number of service users, it is important for service providers not only to provide promotional activities such as offering attractive prices, but also to provide high-quality information so that users can use it more easily.

• Information Systems Review
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• v.25 no.4
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• pp.265-290
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• 2023

Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.51-66
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• 2017

Online and wireless communications have dramatically changed the contents industry marketplace. Content transactions are now instantaneous as distribution channels move from the 'mart' to smart platforms, creating opportunities for content creators large and small. Yet with opportunity comes the threat of imbalance in the industry ecosystem. In order to ensure the health and diversity of an industry that relies so heavily on the welfare of small creative enterprises, it is essential to establish rules for the fair transaction of content rights. Several structural forces may work against such rules: first, the industry consists of a large number of small distributor intermediary businesses (e.g. major publishers); second, end distributors (e. g. platforms) maintain a superior, monopsony position; and third, economic valuation of content is difficult. In terms of acquisition business model, rights transactions can be classified into three general models: (1) license model, (2) original acquisition model, and (3) monopsony model. This study explores the publishing industry in detail, considering key statutes and their operation across the models. From analysis of Korea and the US statutes and case law, and decisions of the Fair Trade Commission (FTC) of Korea, we offer evaluation criteria for discerning between fair and unfair content rights transactions. We further recommend industry practice that may enhance the likelihood for fair content rights transactions, and thus a thriving publishing ecosystem.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.109-135
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• 2021

his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.116-125
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• 2022

Netflix Original movies have distinctive characteristics in that it is screened online only and viewers have to watch movies using their personal devices. By analyzing the haptic characteristics of Netflix platform from remediation perspective, we examine how Netflix hypermediacy haptic characteristics associated with clicking or touching expand to immediacy haptic characteristics, and compare the differences between Netflix original movie (2020) and film movie (1940). Through this, it points out the connection between the sense of the hand that requires clicking or touching and the description of the hand in Netflix original movie . As the individual interface of the personal device has been adjusted to make it possible to watch movies, the position of the hand becomes important in watching movies, and the hand plays an essential role in the beginning, middle, and end of the movie. Therefore, this study, which focuses on the haptic characteristics of Netflix original movie , is meaningful in that it studied the characteristics of the OTT original movie that was not previously covered and that the haptic characteristic plays an important role in the way of watching OTT contents.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.551-560
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• 2008

The basic strategy of OSMU(One-source Multi-use) in digital image is a marketing that applying one source to other genres for leverage based on that cross-referencing in different genre enabled that one material(one-source) has synergy effect when reproduced to various products(multi-use) as cultural sources are available through on-line and digital format. Recently, according to the characteristics of culture industry with Window Effect, many culture contents such as movies, games, animations and characters are carefully planned at its design stage to get the maximum effect. Especially, the fact that one leading-trend source makes it easier to produce additional products with the least cost is observed and it enables organized management which resulted in low marketing and PR cost. This paper confirmed that OSMU strategy in Korea mainly get started from online to offline comparing to Japan and USA.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.1955-1964
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• 2011

With fast deployment of high-speed networks and various online services, the demand for massive content distribution is also growing fast. An approach that is increasingly visible in communication research community and in industry domain is peer-to-peer (P2P) networks. The P2P swarming technique enables a content distribution system to achieve higher throughput, avoid server or network overload, and be more resilient to failure and traffic fluctuation. Moreover, as a P2P-based architecture pushed the computing and bandwidth cost toward the network edge, it allows scalability to support a large number of subscribers on a global scale, while imposing little demand for equipment on the content providers. However, the P2P swarming burdens message exchange overheads on the system. In this paper, we propose a new protocol which provides confidentiality, authentication, integrity, and access control to P2P swarming. We implemented a prototype of our protocol on Android smart phone platform. We believe our approach can be straightforwardly adapted to existing commercial P2P content distribution systems with modest modifications to current implementations.