• Information Systems Review
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• v.24 no.3
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• pp.43-68
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• 2022

With the growing demand for online food delivery (OFD) services via Online to Offline (O2O) platforms, it is required for academic researchers to identify the success factors of OFD businesses. In line with this, this research examines the impact of the core service attributes of a restaurant (hygiene, interactivity, trust,and popularity) on business success in the OFD platform context from the perspective of information asymmetry. Furthermore, the moderating effects of hygiene factor between the core service attributes and the success of restaurants are evaluated. We utilize 1,146 restaurants registered on the largest OFD platform in Korea. The results of this study demonstrate that hygiene (certification), trust (franchise), popularity (favorite) factors have positive impacts on the success of OFD businesses. Moreover, we find that franchise restaurants with high response rates to customer reviews and inquiries achieve higher sales when they have hygiene certifications than those without the certification do. The key findings bear significant contributions to prior literature by empirically substantiating the pivotal role of service quality signals in fostering restaurant success on the OFD platforms. In addition, this study provides business implications for restaurants in O2O platform.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.12-21
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• 2017

In this study, we divided attention to mobile contents into two dimensions (i.e., exposure and involvement), and explored the characteristics of and the relationship between the attention behaviors, using contents data from Pikicast. First, this study investigated the relationship between exposure and involvement in order to examine whether double-jeopardy effects appear in mobile contents as well. In addition, we examined how different attention behaviors differ according to platform and subject attributes(i.e., soft and hard). As a result, we found that there was a positive correlation between exposure and involvement in mobile platforms. Also, we found that the attention behaviors, especially sharing behaviors, were different in each platform. In terms of subject attributes, the attention indices such as the number of comments and sharing, which were immediate responses, were related to the soft content, whereas the attention indices such as the consumption time and the complete-read rate were related to the hard content requiring cognitive effort.This study is meaningful to understand the essence of the attention behavior in the mobile environment from a content - oriented perspective rather than the most existing research with a user - centered perspective.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.111-118
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• 2014

Current friend recommendation system on Twitter primarily recommends the most influential twitter. However, this way of recommendation has drawbacks where it does not recommend the users of which attributes of interests are similar to theirs. Since users want other users of which attributes are similar, this study implements follower recommendation system based on the similarity of twitter node informations. The data in this study is from SNAP(Stanford Network Analysis Platform), and it consists of twitter node information of which number of followers is over 10,000 and twitter link information. We used the SNAP data as a training data, and generated a classifier which recommends and predicts the relation between followers. We evaluated the classifier by 10-Fold Cross validation. Once two twitter node informations are given, our model can recommend the relationship of the two twitters as one of following such as: FoFo(Follower Follower), FoFr(Follower Friend), NC(Not Connected).

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.127-137
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• 2010

A Widget platform is acknowledged to be a next generation intelligent platform that is well suited to Web 2.0 and mobile convergence environments. With prospects of growth, examining users' perceptions of current widgets can be a valuable source of information in setting directions for Widget's future development. This study identifies user interface factors that affect widget usability and investigates a strategic approach to promoting the use of widgets by analyzing user's "intention to use" in connection with the identified interface factors. The experimental results show the consistency, intuition, minimal action, and personalization have a positive(+) effect on perceived ease of use and that personalization and design have a causal effect on perceived enjoyment. Inaddition, perceived ease of use has an influence on perceived enjoyment that, inturn, has a direct influence on intention to use. On the other hand, the hypothesis that perceived ease of use has a direct effect on intention to use was rejected.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1341-1346
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• 2017

In this paper, we designed the open service platform based on integrated type of individual customized service and intelligent information technology with individual's complex attributes and requests. First, the data collection phase is proceed quickly and accurately to repeat extraction, transformation and loading. The generated data from extraction-transformation-loading process module is stored in the distributed data system. The data analysis phase is generated a variety of patterns that used the analysis algorithm in the field. The data processing phase is used distributed parallel processing to improve performance. The data providing should operate independently on device-specific management platform. It provides a type of the Open API.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.161-170
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• 2023

In this study, based on existing studies on music streaming services and e-services, the selection factors for music streaming platforms were derived, and the AHP technique was implemented to calculate the importance of each factor. As a result of this study, economic feasibility was found to be the most important factor among security, economic feasibility, informativeness, convenience, and responsiveness, which are the first-step selection factors of music streaming platforms. As a result of synthesizing the weights of the first and second factors, reasonable price was found to be the most important factor. Finally, an additional analysis was conducted to determine whether there was a difference in importance between the selection factors of the music streaming platform according to gender and age. Through this study, it will be possible to figure out the factors that consumers consider most important when using a music streaming platform.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.201-213
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• 2022

This study attempted to identify the influencing factors of Taobao Online Live Commerce influencer's attributes on Taobao Live Platform users' post-purchase satisfaction, repurchase intention and flow, and addiction. Through previous studies, researchers set the live commerce influencer attributes into four categories: expertise, attractiveness, interactivity, and aesthetics, and examined the effects of these attributes on consumers' repurchase intentions, flow and addiction. As a result of the study, it was confirmed that among the attributes of Live Commerce influencer, professionalism, interactivity, and aesthetics had a significant effect on the utilitarian shopping value in consumer satisfaction, and four attributes, including attractiveness, had a positive effect on the hedonic shopping value. In consumer satisfaction, hedonic shopping value had a positive effect on utilitarian shopping value satisfaction. In addition, it was found that consumers' satisfaction after purchase affects repurchase intention and immersion. The effect of flow on repurchase intention and addiction was also confirmed. It is hoped that this study will help revitalize influencer marketing in the growing live commerce market and provide basic data to contribute to establishing marketing strategies.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.201-217
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• 2015

Instagram, image based visual SNS platform is regarded as one of the most effective marketing channels and the number of users are getting increased. To enhance of our understanding of general current use and customer attitude through Instagram accounts owned by fashion brands depending on user attributes, the present study investigates factors that current status of use, purpose of use, brand attitude, purchase intension, and recommend intension. A survey method was conducted for empirical test. A convenience sample of 100 participants was used for data analysis. SPSS 18.0 was used for statistical analysis. Findings of this study suggest that first, the very purpose of access is to grasp fashion trend, second, a group of the high interest in fashion accesses to Instagram account of fashion brands more often, uses Instagram for information search more than other group and has a positive influence on recommend intension, third, a group of the high frequent access accesses Instagram for purpose of information search more and has a positive influent on values on customer attitude and the last, partial purposes of utilization and benefits sought of Instagram of fashion brands has a positive influence on customer attitude.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.167-180
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• 2021

The "sharing economy" describes a type of business built on the sharing of resources - allowing customers to access goods when needed. While sharing goods has always been a common practice among friends, family, and neighbors, in recent years, the concept of sharing has moved from a community practice into a profitable business model. This study explores gaps between customers' actual usages and current policies on accommodation sharing by analyzing what needs to be done for the better establishment of sharing economy in society. The purpose of this study is to investigate perceptions of accommodation sharing by analyzing reviews and negative aspects that help resolve complaints and improve better services through policy establishment. This study investigates key attributes that influence business performance to improve citizens' decision-making for the usage of accommodation sharing. This study applies qualitative research by collecting demand- and supply-side reviews from selected registered accommodations using a random sampling procedure. This study finds that guests prefer entire house sharing with instrumental attributes related to properties. Entire house sharing of multiple dwellings shows business impacts in terms of high occupancy rate on the platform, while there are policy concerns with entire house sharing. The results provide policy and managerial implications by suggesting proper policies and considering relationships with citizens.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.2
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• pp.177-186
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• 2022

A network QoS model for the joint integrated C4I structure was proposed for the integration of network infrastructure and network operations(NetOps) for NCOE. Detailed QoS requirements process of the joint integrated C4I systems are needs in the Multi-Domain Operation Environment(MDOE). A process is proposed for identifying QoS requirements and establishing in the MDOE using JMT(Joint Mission Thread) reference architecture and solution architecture. Mission analysis identify JCOAs(Joint Critical Operational Activities) and related activities based on JMT & System architecture's OVs, and Information analysis identify QoS attributes using System architecture's SVs. Identifying QoS attributes will be registered at PPS Registry by pre-regulated process, and will be set-up by NetOps. MDOE QoS requirement Process will support efficiently MUM-T and smart defense platform users under the future uncertain battlefield circumstances.