• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.6
• /
• pp.987-1003
• /
• 2022

This study explores the effect of experiential value of AR fashion platform on platform preference. Based on the SOR theory, the effects of visual appeals, entertainment, service excellence, and efficiency on platform attitudes, mediated by intrinsic enjoyment and escapism, are tested. The participants respond to the questions after watching the video clip, using an AR fashion platform. A total of 252 data is analyzed using SPSS 26.0 for descriptive statistics and reliability analysis and AMOS 26.0 for confirmatory factor analysis and structural equation modeling. The results show visual appeals, entertainment, and efficiency influence platform preference, mediated by intrinsic enjoyment. Entertainment also influences platform preference, mediated by escapism. The moderating effect of the AR service pre-experience is also explored. For the group with the AR service experience, entertainment and efficiency has a positive effect on intrinsic enjoyment, leading to AR platform preference. For the group without an AR service experience, only entertainment influences the AR platform preference, mediated by intrinsic enjoyment; however, there are no factors which increase escapism. The findings of this study contribute to find the marketing directions for the AR service users, by offering appropriate experiential values based on their prior AR experience.

• International Journal of Contents
• /
• v.17 no.1
• /
• pp.37-53
• /
• 2021

With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2002.11a
• /
• pp.243-246
• /
• 2002

It is expected that intelligent broadcasting service (IBS) will be able to provide broadcast programs based on user preference and program-associated information (metadata) in order to assist users to easily navigate the program contents being broadcast. So users can access program contents anytime/anywhere in the way they want. In this paper we propose a framework for IBS based on an intelligent software agent platform so called FIPA (Foundation for Intelligent Physical Agents). We use an FIPA implementation. so called FIPA-OS, as a platform for exchanging user preferences and program information as FIPA messages between a server and clients. The user preference is modeled as the User Preference description scheme in MPEG-7 MDS (Multimedia Description Scheme).

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.2
• /
• pp.445-450
• /
• 2023

This study analyzed the factors that viewers consider when watching anime on Over The Top(OTT) service platforms and the characteristics of each type of preference, which are the components of anime preference. To this end, the survey data of 240 animation major students were used for analysis, and the conclusions drawn through frequency analysis and cross-tabulation of IBM SPSS Statistics 27 are as follows. Netflix is the OTT service platform that viewers use the most, and TV series are the most preferred for animation works. In addition, it was found that Netflix OTT original animation works were preferred over other platforms, and long-form animation preferred Disney+. Among the characteristics of each type of animation preference, it was found that the factors considered when watching animation in terms of narrative value, aesthetic value, and entertainment value respectively value the structure, screen production, and immersion of the storyline. It is hoped that this study will be used as useful data for producing animation contents with the OTT service platform.

• The Journal of Small Business Innovation
• /
• v.20 no.3
• /
• pp.49-68
• /
• 2017

Platform finance is emerging as an alternative finance for SMEs by suggesting a new funding source based on a new technology named FinTech. The essence of this business is the adapting ICT challenges to the financial industry that can adequately reflect risk assessment using Big Data and effectively meet individual risk-return preference. Thus, this is evolving as an alternative to existing finance in the form of P2P loans for Micro Enterprises and supply-chain finance for SMEs that need more working capital. Platform finance in Korea, however, is still at an infant stage and requires policy support. This can be summarized as follows: "Participation of institutional investors and the public sector," meaning that public investors provide seed money for the private investors to crowd in for platform finance. "Negative system in financial regulations," with current regulations to be deferred for new projects, such as Sandbox in the UK. In addition, "Environment for generous use of data," allowing discretionary data sharing for new products," and "Spreading alternative investments," fostering platform finance products as alternative investments in the low interest-rate era.

• Journal of Digital Convergence
• /
• v.17 no.7
• /
• pp.351-357
• /
• 2019

A number of case studies and type analyzes have been conducted on mobility platform services that are rapidly evolving around the world. However, since the actual user experience is important for the development of the mobility service, research on the user side is needed. In the mobility platform service, only the car-hailing was used, and the preference factors were analyzed through the questionnaire in seven aspects of the user experience. Studies have shown significant differences according to gender. While the safety of the woman, the comfort and the kindness of the vehicle have a great influence on the satisfaction, the male affirms that the familiarity is the factor affecting the satisfaction. This study focused on the customer experience as a real user and identified key factors of selecting mobility platform service, so it is expected that it will contribute to the development of mobility platform service in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.11
• /
• pp.5234-5251
• /
• 2018

It is well-known that virtualization technology can bring many benefits not only to users but also to service providers. From the view of system security and resource utility, higher resource sharing degree and higher system reliability can be obtained by the introduction of virtualization technology in distributed cloud. The small size time-sharing multiplexing technology which is based on virtual machine in distributed cloud platform can enhance the resource utilization effectively by server consolidation. In this paper, the concept of memory block and user satisfaction is redefined combined with user requirements. According to the unbalanced memory resource states and user preference requirements in multi-virtual machine environments, a model of proper memory resource allocation is proposed combined with memory block and user satisfaction, and at the same time a memory optimization allocation algorithm is proposed which is based on virtual memory block, makespan and user satisfaction under the premise of an orderly physical nodes states also. In the algorithm, a memory optimal problem can be transformed into a resource workload balance problem. All the virtual machine tasks are simulated in Cloudsim platform. And the experimental results show that the problem of virtual machine memory resource allocation can be solved flexibly and efficiently.

• Korean Management Science Review
• /
• v.33 no.4
• /
• pp.33-49
• /
• 2016

The market of platform business is typically served by a few dominant players, presenting "winner-takes-all" phenomenon. This study aims to find service characteristics leading to the phenomenon. Six different service-characteristics were considered : Same-side network effect, cross-side network effects, entry barrier, multi-homing cost, switching cost, and heterogeneity of preference. To assess the degree of concentration of market share, HHI (Herfindahl-Hirschman Index) is calculated for top three major players. Based on the HHI value, 10 most eminent platform businesses are classified into three different segments and each segment is characterized with key factors. The results from this study provide some insight into the strategic management of platform business.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.10
• /
• pp.7-17
• /
• 2021

Purpose: Studies on social exclusion from a sensory perspective are rather limited in state-of-the-art literature, especially in exploring the relationship between social exclusion and shape preference from a sensory marketing perspective. The present study aims to explore the effect of social exclusion on consumers' shape preference (angular vs. rounded) and the underlying mechanism. Research design, data and methodology: The relationship between social exclusion and consumers' shape preference was investigated in Study 1 using a one-way between-subject design (being excluded vs. being included), and the mediation effect of sense of control has been examined in Study 2 via a between-subjects design (being excluded vs. being included) ×2 (angular vs. rounded). Both studies were conducted on the Credamo data platform in China, and evaluated by one-way ANOVA. Results: The results showed socially excluded consumers prefer the product with angular design rather than socially included consumers, and this effect can be mediated by sense of control. Conclusions: This paper contributes academically for investigating the research area of the sense of control and explores the influence of the control needs of humans on consumer behaviors. Furthermore, it also clarifies new potential psychological role of shape preference - the recovery of the sense of control - to enrich the psychological mechanisms of shape preference.

• Journal of Computing Science and Engineering
• /
• v.6 no.4
• /
• pp.243-256
• /
• 2012

In this paper we present a framework for a novel kind of context-aware preference query composition whereby queries for the Preference SQL system are created. We choose a commercial e-business platform for outdoor activities as a use case and develop a context model for this domain within our framework. The suggested model considers explicit user input, domain-specific knowledge, contextual knowledge and location-based sensor data in a comprehensive approach. Aside from the theoretical background of preferences, the optimization of preference queries and our novel generator based model we give special attention to the aspects of the implementation and the practical experiences. We provide a sketch of the implementation and summarize our user studies which have been done in a joint project with an industrial partner.