• Culinary science and hospitality research
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• v.21 no.6
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• pp.76-90
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• 2015

This study investigated the effects of online shopping malls' HMR selection attributes upon satisfaction and repurchase intention. Study subjects were Busan residents from whome 252 valid questionnaire responses were collected and used for analysis. The study conducted afrequency analysis to explain demographic characteristics using SPSS 18.0. Other anaylses were perfromed in order to investigate the effects of online shopping mall HMR selection attributes upon satisfaction and repurchase intention. The findings revealed that convenience, package brands, palatability, price and food quality appropriateness exhibited a significant influence, although food quality did not have a significant influence on customer satisfaction. In addition, customer satisfaction had a significant influence upon repurchase intention. Therefore, a high added value brand with high quality packing and design is thought to be more important than inexpensive price and low quality.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.30-43
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• 2014

The number of online video content distributors are rapidly increasing in N-screen environment. The purpose of this study is to analyze the business model of these distributors, especially Netflix and Hulu. Basis on STOF model, environmental domain, service domain, organization domain and financial domain of each company are analyzed and compared. This study finds that each company's business model had distinct characters in earlier stage. Netflix offered online and offline service in low cost, while Hulu offered up-to-date TV contents without fees. However, two companies' business models are getting similar. The result of this study shows that highly competitive environment and increasing content budget affect two companies to adopt similar business model to survive.

• The Journal of Society for e-Business Studies
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• v.12 no.4
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• pp.85-98
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• 2007

This study uses conjoint analysis technique to calculate relative importance of each attribute of a specific online content: video-on-demand (VoD) services of TV soap operas. A series of interviews were conducted to identify and derive critical attributes for VoD services. Conjoint instrument was constructed using attributes identified and administered among actual viewers. Price, genre, additional service, and actors were found to be the most highly valued attributes of the VoD services. While price was the most valued attribute for female viewers, it was genre for male viewers. The result suggests that these attribute differentiation would lead to more profitable pricing scheme, and development of additional services may be critical for online content business' success.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.3005-3012
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• 2014

Massive Open Online Courses(MOOC), originally started from United States, have recently received a great deal of attention all over the world. MOOC means free online courses that anyone can attend anytime. In Korea, KERIS(Korea Education and Research Information Service) and some universities provide various MOOC services. The purpose of this paper is to present current status and improvement suggestions of MOOC. We first introduce the formal definition and history of MOOC, then discuss current status of MOOC services in Korea and other countries. We finally present improvement suggestions that include induction of active participation for universities, value creation for campus, development of revenue model, providing motivation to students for finishing courses, development of LMS(Learning Management System), securing well-trained lecturers, translation of lecture materials, ensuring quality of authentification system of MOOC services.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1231-1238
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• 2021

Recently, large online shopping malls are providing image search services as well as text or category searches. However, in the case of an image search service, there is a problem in that the search service cannot be used in the absence of an image. This paper describes the development of a system that allows users to find the clothes they want through hand-drawn images of the style of clothes when they search for clothes in an online clothing shopping mall. The hand-drawing data drawn by the user increases the accuracy of matching through neural network learning, and enables matching of clothes using various object detection algorithms. This is expected to increase customer satisfaction with online shopping by allowing users to quickly search for clothing they are looking for.

• The Korean Journal of Emergency Medical Services
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• v.26 no.1
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• pp.71-85
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• 2022

Purpose: This study aimed to investigate the current status of non-face-to-face education at universities for paramedicine and measure students' education satisfaction after the coronavirus infectious disease 2019 (COVID-19) outbreak. Methods: A cross-sectional survey was conducted for paramedic students at the Chungcheong and Honam areas using Google Forms. Convenience sampling was used. A structured questionnaire was created and modified according to Park and Choi's test tool developed to review online lectures and practical courses. Results: A total of 202 students responded to the survey. The satisfaction level of online lectures was 3.06±1.12 (n=202) out of 5. Students experiencing online lectures responded that it was difficult to focus on the class, and the overall quality and lecture delivery should be improved. They also experienced technical difficulties. The satisfaction level of practical course lectures was 3.24±1.04 (n=133) out of 5. It was higher than those of other types of classes because it was conducted by the more familiar face-to-face lecture. Conclusion: This study has shown that the universities and instructors have examined a variety of methods in paramedic education after the COVID-19 pandemic. However, further research and consideration are required to improve paramedic education during the COVID-19 pandemic.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.390-399
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• 2022

Cyber security and resilience are phrases that describe safeguards of ICTs (information and communication technologies) from cyber-attacks or mitigations of cyber event impacts. The sole purpose of Risk models are detections, analyses, and handling by considering all relevant perceptions of risks. The current research effort has resulted in the development of a new paradigm for safeguarding services offered online which can be utilized by both service providers and users. customers. However, rather of relying on detailed studies, this approach emphasizes task selection and execution that leads to successful risk treatment outcomes. Modelling intelligent CSGs (Cyber Security Games) using MLTs (machine learning techniques) was the focus of this research. By limiting mission risk, CSGs maximize ability of systems to operate unhindered in cyber environments. The suggested framework's main components are the Threat and Risk models. These models are tailored to meet the special characteristics of online services as well as the cyberspace environment. A risk management procedure is included in the framework. Risk scores are computed by combining probabilities of successful attacks with findings of impact models that predict cyber catastrophe consequences. To assess successful attacks, models emulating defense against threats can be used in topologies. CSGs consider widespread interconnectivity of cyber systems which forces defending all multi-step attack paths. In contrast, attackers just need one of the paths to succeed. CSGs are game-theoretic methods for identifying defense measures and reducing risks for systems and probe for maximum cyber risks using game formulations (MiniMax). To detect the impacts, the attacker player creates an attack tree for each state of the game using a modified Extreme Gradient Boosting Decision Tree (that sees numerous compromises ahead). Based on the findings, the proposed model has a high level of security for the web sources used in the experiment.

• Journal of Distribution Science
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• v.22 no.3
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• pp.33-47
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• 2024

Purpose: Most emerging-market countries are concerned about the technology boom, which is accompanied by an increase in revenue from online sales and services. This finding has been demonstrated during the COVID-19 pandemic; however, is this tendency continuing in the new normal, and what factors are driving the increase in consumer decisions? The purpose of this research is to investigate how the decision to utilize online services will be affected in the new normal as well as propose a new research approach in this field. Research Design, Methodology and Approach: By following a deductive research method associated with positivist philosophy, a survey in South Vietnam with 426 respondents using a convenience sampling method was conducted. The reliability of the measurement scales was examined by using the SPSS program. The SmartPLS programme was utilised to assess the measurement and structural models as well as test hypotheses by using partial least squares structural equation modelling. Results: According to the research findings, decision-making has been impacted by social influences, perceived usefulness, perceived ease of use, perceived trust, perceived price, and perceived convenience. Conclusions: The research results also bring significant contributions not only in practice in providing management implications but also in theory. The research model has also demonstrated the feasibility of employing the stimuli-organism-response framework and combining the theory of perceived risk with the technology acceptance model via the explanation of decision-making.

• Clinical and Experimental Vaccine Research
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• v.11 no.2
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• pp.193-208
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• 2022

Purpose: The coronavirus disease 2019 (COVID-19) vaccine is the key to getting out of the pandemic. However, acceptance of the vaccine has been affected by false information and rumors, which have kept people from getting the shot since it was rolled out. Materials and Methods: This study aimed to investigate the various misconceptions surfaced about the COVID-19 vaccines in Africa. We performed an online survey using an anonymous questionnaire to reach out to African respondents by social media and all possible online platforms such as Facebook, WhatsApp, Instagram, Twitter, YouTube, and so forth. The web-based questionnaires about the myths surrounding the vaccines were extracted from nonscientific information, unproven statements, social media posts, news reports, and people's concerns about the safety of the COVID-19 vaccines. Participants indicated their level of agreement with each statement. Results: A total of 2,500 people responded to the online survey in Africa. The two common myths that respondents agreed with were that "since vaccines for COVID-19 have been developed, we can make vaccines for the common cold, human immunodeficiency viruses, and other diseases" (n=892, 35.7%) and that "researchers rushed the development of the COVID-19 vaccines; therefore, it is not very effective, safe and cannot be trusted" (n=595, 23.8%). The range of respondents who neither agreed nor disagreed with these myths was 12.4%-33.0%. The majority (1,931, 77.2%) indicated disagreement with the statement "after getting the COVID-19 vaccine, one can stop wearing a mask as well as taking safety precautions." Conclusion: Myths surrounding the COVID-19 vaccines have impact on acceptance. Exploring them helps public health authorities in Africa dispel them and provide accurate information to promote vaccination campaigns, education, and acceptance.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.13-20
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• 2010

Currently, GPS data process software appears different results that according to user's skills or software. Also, lots of time and efforts are necessary for using GPS data process software to general user, not a specialist On the other band, on-line GPS data process service have a merit that can cony out GPS data process without technical efforts and time. In this study, permanent GPS site's observation data of NGII(National Geographic Information Institute) was processed by on-line GPS data process service, and utilization assessment of on-line GPS data process service was performed by comparing this result with notified coordinates by the NGII in order to analyze positional accuracy. 10 permanent GPS sites of NGII including Suwon which is registered in IGS(International GNSS Service) were selected and these GPS observation data was processed by AUSPOS and CSRS-PPP.