• Korean journal of food and cookery science
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• v.19 no.5
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• pp.546-554
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• 2003

This study was designed to identify the take-out food usage of university students in Seoul and Gyeonggi-do. Questionnaires were used to analyze these habits among 500 respondents. 1. The Frequency of Take-Out Food use: the greatest proportion of students used take-out foods once or twice a week (33.8%). 2. The reasons for Take-Out Food use: fastness was the major reason (47.8%). 3. The day of the week for Take-Out Food use: the majority of the students used Take-Out foods regardless of the day (54.4%). 4. The time of day for Take-Out Food use: 6∼8 p.m. for 31.6%. 5. The cost spent in each meal: 51.6% spent 3,000 to under 5,000 won. 6. The menus of Take-Out Food used: coffee was the most popular of all the take-out foods (43.6%). 7. Points considered when buying Take-Out Food: the majority of the college students thought tastes and quality of the foods were the most important considerations (51.0%). 8. The source of information about Take-Out Food: 43.4% of the students obtained information from their friends.

• Journal of Korea Ship Safrty Technology Authority
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• s.33
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• pp.53-62
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• 2012

Pumps are used widely in feed water, cooling & heating system and process line of industrial and construction fields. They consume nearly 20% of the each nation's total electrical energy. But The management of pump energy wasn't controlled well. Their loss of energy is huge if they have been operated at low efficiency. The first buying cost of pump is small compare to the power consumption of pump, so we can recommend the suitable replace time and best operating condition of parts and pump to measure the pump efficiency. Pump efficiency is usually measured according to the two methods which they are called thermodynamic method and traditional technique. And we measured the pump efficiency using two methods using potable pump efficiency measurement device and compared the results with the real performance curve offered from pump maker.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.1-21
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• 2021

At a time when the e-commerce market is experiencing accelerated growth, with advancements in information and communications technology (ICT), the problems of distribution of counterfeit products and consumer confusion caused by non-face-to-face purchases have increased. Hence, amid intensifying competition, it has become important for e-commerce companies deliver product information more efficiently, provide differentiated services, and secure credibility for consumers by reducing consumer damage from buying counterfeit products. However, even though consumer confusion and the inadvertent purchase of counterfeit products are intensifying in such a market scenario, there are no services that aim to solve such problems. This study examines the conventional e-commerce industry in South Korea through a political, economic, social, and technological (PEST) analysis, based on in-depth interviews with consumers, to derive the pain and gain points of the industry. As a result, the inherent problems of the e-commerce industry were revealed. Through a service value network perspective, services aimed at resolving such issues were derived, and the e-commerce business ecosystem needed to solve this problem was deduced. The findings revealed that the artificial intelligence-based service support platform has become a major driving force within the e-commerce innovation ecosystem by enabling a new way to create and secure value using ICT. This entails a new exchange mechanism and transaction architecture and a new organizational structure that breaks the barriers between industries.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.58-68
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• 2019

Recently SNS product reviews are excessively increasing. However, many SNS reviews are under feeble regulation than how big and powerful that their awarenesses are. This problem leads to consumers' discontentment on product reviews on online. This study aims to analyze how SNS product reviews characteristics: informativeness, entertainment, reliability and familiarity attribute on consumers' purchase intent and brand attitude. However, at this time, consumers' high discontents (stored-knowledge) expect to have negative affect on product reviews thus I put this as a regulation effect. This study is consisted of 240 examinee who check SNS product reviews before buying products.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.75-86
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• 2021

Brand image refers to how customers, stakeholders and the market see and recognize the brand. A positive brand image leads to continuous purchases, but a negative brand image is directly linked to consumers' buying behavior, such as stopping purchases, so from the corporate perspective, it needs to be quickly and accurately identified. Currently, methods of investigating brand images include surveys and SNS surveys, which have limited number of samples and are time-consuming and costly. Therefore, in this study, we are going to conduct an emotional analysis of text data on social media by utilizing the machine learning based KoBERT model, and then suggest how to use it for game corporate brand image analysis and verify its performance. The result has proved some degree of usability showing the same ranking within five brands when compared with the BRI Korea's brand reputation ranking.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.1
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• pp.31-40
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• 2023

Purpose - The prior literature indicated that green consumerism encouragements and programs have led to strict standards against environmental issues, thus reducing emissions from motors and engines and improving clean-burning energy options. The present study seeks to elaborate on the responsibility of ecological education in amplifying potential green consumers. Research design, Data, and methodology -The justification of the qualitative literature method used in this research is essential because, through the extensive explanation, justification and description of the methods used, researchers can enhance the trustworthiness of the research to a particular or designated audience. Result - Environmental education helps customers worldwide recognize the barriers to purchasing green products at every purchase level. Prior studies pointed out that after environmental education, consumers are much more willing to go greener in their consumption and safeguard the environment. Customers want to act green; however, they anticipate companies to lead the way. Conclusion - This research suggests that reusing prevailing resources creatively implies that fewer dollars are spent buying novel stock to generate green products. Although establishing a green company is expensive, it saves a lot of cash over time. Greening procedures can lead to efficiency gains by minimizing energy costs, permitting companies to acquire green tax credits.

• Journal of Distribution Science
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• v.21 no.3
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• pp.37-46
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• 2023

Purpose: The article focuses on studying the impact of brand anthropomorphism, and brand love, on brand advocacy, and at the same time the moderate role of brand self-connection in the process of customers' perception of the brand, especially the brand distribution. The survey subjects are customers with millennial consumers in Ho Chi Minh City, who have the behavior of buying brands in the smart mobile device industry many times with a specific brand in terms of brand distribution. Results: The findings show that Brand anthropomorphism and brand love are crucial factors to impact brand advocacy and the role of self-brand connection also is a confirmed positive effect on the relationship between brand anthropomorphism and brand love. Research design, data, and methodology: The article uses quantitative research to test the model and research hypotheses. The way to collect quantitative data is to use questionnaires with 1531 samples in Ho Chi Minh City, Vietnam. Conclusion: The research results can help businesses build a long-term brand strategy and expect to get new rewards and value from customers. They can also add to the theory about the relationship between brands and customers.

• Journal of Distribution Science
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• v.21 no.12
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• pp.127-140
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• 2023

Purpose: In a situation where the local economy and alley economy are stagnant, efforts to revitalize the role of small business owners need a virtuous cycle system through consumers' consumption power, not just cash support. Research design, data, and methodology: The study site focuses on Daedeok-gu, the first to introduce local currency as a policy. In the case of the store survey, 254 stores out of 300 stores registered with local currency were analyzed, and the consumer survey was conducted on 1,394 out of 1,500 local people using local currency. Statistical analysis was performed using the SPSS. Result: As a result of time-series checking whether local economic activities are carried out smoothly due to the nature of the local currency, the average daily sales of Daedeok-gu increased by 388,980won compared to 2019. This proved through empirical research in the region that local currency played a priming role in bringing opportunities and rehabilitation to the local commercial districts and small business owners. Conclusions: In the monetary function of simply buying and selling value through payment, points supported as incentives can be used as local currency while inducing direct participation in solving social problems, and the concurrent effect of causing problem-solving and regional economic vitality began to sprout.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.64-76
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• 2024

We study three sports media start-ups that seek to promote business model innovation (BMI) in which Web 3.0 and metaverse are converged. In results, LM starts from an innovative digital space platform offering a unique combination of virtual real estate, games, and non-fungible tokens (NFTs) which come with real-world earning potential. It creates value by integrating virtual real estate, training academies, blockchain games, and meta shops to offer a unique experience, capture value by offering monetization tools for buying and trading limited edition NFTs of favorite influencers from various sports leagues, offering access to premier real-world events and VIP game contests, and delivers value by building community to play games with favorite athletes or teams including trivia games, allowing fans to engage with their favorite athletes in a unique exclusive way. SL starts from the customizable digital identities especially for young sports fans like generation (gen) Z to play, hang out, and express themselves with their own avatars. SI starts from a leading Web3.0 metaverse innovator creating NFTs with the greatest athletes of all time, allowing athletes and creators to set up a profile and mint NFTs directly onto the blockchain. It tries to have the partnerships with great athletes revolutionizing the sports media industry to connect sports heroes and their super fans through an immersive, artistic, inspirational NFTs and unlockable content creating a sticky community between them.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.147-163
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• 2004

For the purchase of a cheaper product on the Internet, many customers have been trying to search online shopping mall sites and visit comparison-pricing shops that compare prices and other criteria of the product. Others have been participating into online auction markets or group-buying markets. However, a lot of online shopping malls, auction markets, and group-buying markets provide the same product with different prices. Since these marketplaces have different price settlement mechanism, it is very difficult for the customers to determine marketplace to purchase, considering different kinds of marketplaces at the same time. To overcome such limitations, decision rules and solution procedures for purchase decision making are necessary, which can cover multiple marketplaces simultaneously. For this purpose, purchase decision making in each market must be conducted to maximize customer's utility, and conflicts with other marketplaces must be resolved. Therefore, we have developed the rules and methods that can negotiate cooperatively the purchase decision making in several marketplaces, and designed an architecture of Intelligent Buyer Agent and a message structure to support the idea.