• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1083-1091
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• 2017

As big data technologies have been developed and massive data have exploded from users through various channels, CEO of global IT enterprise mentioned core importance of data in next generation business. Therefore various machine learning technologies have been necessary to apply data driven services but especially recommendation has been core technique in viewpoint of directly providing summarized information or exact choice of items to users in information flooding environment. Recently evolved recommendation techniques have been proposed by many researchers and most of service companies with big data tried to apply refined recommendation method on their online business. For example, Amazon used item to item collaborative filtering method on its sales distribution platform. In this paper, we develop a commercial web service for suggesting music contents and implement three representative collaborative filtering methods on the service. We also produce recommendation lists with three methods based on real world sample data and evaluate the usefulness of them by comparison among the produced result. This study is meaningful in terms of suggesting the right direction and practicality when companies and developers want to develop web services by applying big data based recommendation techniques in practical environment.

• Journal of Fashion Business
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• v.12 no.1
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• pp.147-163
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• 2008

This research aims to develop cultural products for professional sales after producing creative products utilizing dinosaur characters, which are the representative exhibited item of dinosaur-centered museum. There are seven museums in Korea whose theme is dinosaur. There are three dinosaur museums among them, Goseong Dinosaur Museum at Kyungnam, Mokpo Natural History Museum, and Seodaemun Museum of Natural History. While inspecting cultural products within the museum shops of these three museums, general products occupy more than 80% of all the products rather than products related to dinosaurs, and has a problem that most products are decorative ones. This resulted from that enterprises supplying these products are not professional ones and are irrelevent to cultural industry; as result, purpose of conveying culture through products is lost. This research develops dinosaur characters utilizing computer 3D techniques in order to imbue unique characteristics to dinosaur museums and informing cultural speciality of our country. In addition, this research presented design method of cultural products by grafting traditional symbols onto these characters, and actually produced 11 items of 5 kinds: toys(dolls), clothes(T-shirts, pajamas, socks), stationery(notebooks, memo), accessaries (bags, umbrellas, handkerchief), and others(cups). On the items above, dinosaur characters are variously utilized in form of printing, embroidery, and stickers by using computer 3D technique. A cultural product is a tangible form which could show variety of cultural characteristics of our nation that could spread the culture through the consumers, and such type of purchasing could increase values of cultural industry by creating economic profits; such points are the significance of this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.657-661
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• 2019

The automobile industry is representative industry of complex characteristics, which employing 10 million people, the largest manufacturing industry over $1 trillion in sales and assembling with 20,000 parts to make complete automobile and automobile assembly processes have a lower automation rate than other processes, which is labor intensive processes of assembling to painted body with 3,000 components such as seats, built-in, instrument panel, glass, engine, transmission units. However, the current assembly process does not have real-time monitoring. If a tool position tracking system is adapted to assembly process for directing consistent work order and checking for missing work, the productivity and quality improvement of the assembly process can be achieved by preemptively preventing possible defects in the assembly process. So, this paper aims to develop a Tool Position tracking system using UWB(Ultra Wide Band) with trilateration and proves their effectiveness for real-time monitoring of automotive assembly process.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.113-119
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• 2021

This study compared business performance and earnings quality before and after the COVID-19 pandemic for information and communication companies whose sales increased due to the impact of the COVID-19 pandemic. For this, 4 indicators of ROA, growth potential, liquidity, and stability are used for business performance, and for earnings quality, the standard deviation of the residuals measured by the Dechow and Dichev(2002) model and Francis et al.(2005) model was used. As a result of the analysis, ROA, a representative business performance indicator, increased after xthe period compared to the period before the pandemic, but liquidity was rather deteriorated. As for the quality of earnings, it was confirmed that earnings sustainability is maintained in the post-pandemic period compared to the previous period, similar to ROA. Overall, the profit level and earnings quality of information and communications companies seemed to be improving, while liquidity was deteriorating. This confirms that companies that have overcome the immediate crisis are not ready to pay off their debts right away. Therefore, it suggests that companies need restructuring to reduce their increased debt from the time the COVID-19 subsides.

• Asia Marketing Journal
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• v.17 no.3
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• pp.105-127
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• 2015

This study compares experienced and inexperienced consumers' patterns in cue utilisation in product evaluations in the arts market. Borrowing the notion of high- and low-scope cues introduced by the cue-diagnosticity framework, we differentiate between the two most readily discernible extrinsic cues in the fine arts market - an art gallery's brand reputation (a high-scope cue) and certificates of authenticity (a low-scope cue). These two cues are different in nature; the former is more abstract, intangible, and rich in content, so is more difficult to interpret than the latter. Given the differences in experienced and inexperienced consumers' information processing styles, we hypothesise that experienced arts consumers form perceived credibility of and purchase intentions towards artworks based on high-scope cues, whereas inexperienced consumers do so based on low-scope cues. To test our hypothesis, we conducted a consumer intercept study at Korea's two most representative art fairs. The survey participants were categorised into either experienced or inexperienced consumers based on their prior purchase experience, and their responses to a set of attribute combinations about two artworks created by the same artist were collected. The results indicate that experienced participants show higher purchase intentions when an art gallery's reputation is very high, whereas inexperienced participants show higher purchase intentions when artworks are accompanied by certificates of authenticity. This congruency effect between prior experience and cue type is mediated by the perceived credibility of the artworks. The findings suggest a correspondence between a consumer's prior experience and the types of extrinsic cues that are important in product evaluations. To the best of our knowledge, this study is the first attempt ever to investigate the role of prior experience in determining when to use high- or low-scope cues. It also provides a useful frame of reference to advise marketers on the effective sales approach based on a client's prior purchase experience.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.201-212
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• 2023

Purpose - Internet-based e-commerce is rapidly developing and applied, and e-commerce through Internet technology overcomes the time and space constraints of existing business exchanges and facilitates multinational transactions.At the same time, disputes over e-commerce are increasing.In order to solve these disputes, clear laws should be regulated and regulated. Design/methodology/approach - This paper first studies the development and trend of E-commerce, then studies the legal provisions of CISG, and then combines them to analyze and draw a conclusion. Findings - Since its enactment in 1980, the CISG has been one of the most influential international commercial laws to date, with 95 States parties. It is a very important international agreement and norm that helps maintain and facilitate the settlement of international trade disputes and coordination of international merchandise sales activities. However, CISG, which is most widely used in traditional trade, faces many challenges due to the nature of E-commerce, but after studying the development and trend of E-commerce and the legal provisions of E-commerce, we conclude that CISG can be applied to E-commerce. Research implications or Originality - All the international conventions are the fruit of the efforts of the people, CISG, as one of the most important unitary laws of international trade, can be said to be representative.The analysis of CISG's legal provisions should be combined with the current international e-commerce trade form, so that CISG can be reasonably applied to modern trade disputes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1101-1121
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• 2024

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce.

• Journal of Venture Innovation
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• v.5 no.3
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• pp.57-70
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• 2022

In modern industrial capitalism, the relationship between the provision of work and the receipt of wages has become an important principle governing society. According to the labor contract, the wages provided by entrusting the right to dispose of one's labor to the employer are directly compensated, and human life should be guaranteed and reproduced with proper rest. The establishment of labor relations under free contracts represents a problem in protecting workers, and accordingly, the maximum of working hours is set as a minimum right for workers, and the standard for minimum rest is set and assigned. The reduction of working hours is very important in terms of the quality of life of workers, but it is also an important issue in efficient corporate activities. As of 2020, Korea has 1,908 hours of annual working hours, the third lowest among OECD 37 countries in the happiness index surveyed by the Sustainable Development Solution Network(SDSN), an agency under the United Nations. Accordingly, the necessity of reducing working hours has been recognized, and the maximum working hours per week has been limited to 52 hours since 2018. In this situation, various working hours are legally excluded as a way to maintain the company's value-added creation and meet the diverse needs of workers, and Korea's Labor Standards Act restricts flexible working hours within three months, flexible working hours exceeding three months, selective working hours, and extended working hours. However, in the discussion on the application of the revised flexible working hours system in 2021 and the expansion of the settlement unit period recently discussed, there is a problem with the flexible working hours system, which needs to be improved. Therefore, this paper aims to examine the problems of the flexible working hours system and improvement measures. The flexible working hours system is a system that does not violate working hours even if the legal working hours are exceeded on a specific day or week according to a predetermined standard, and does not have to pay additional wages for excessive overtime work. It is mainly useful as a form of shift work in manufacturing, sales service, continuous business or electricity, gas, water, and transportation for long-term operations. It is also used as a way to shorten working hours, such as expanding holidays through short working days. However, if the settlement unit period is expanded, it is disadvantageous to workers as the additional wages that workers can receive will not be received. Therefore, First, in order to expand the settlement unit period currently under discussion, additional wages should be paid for the period expanded from the current standard. Second, it is necessary to improve the application of the flexible working hours system to individual workers to have sufficient consultation with individual workers in a written agreement with the worker representative, Third, clarify the allowable time for extended work during the settlement unit period, and Fourth, limit the daily working hours or apply to continuous rest. In addition, since the written agreement of the worker representative is an important issue in the application of the flexible working hours system, it is necessary to secure the representation of the worker representative.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.

• Journal of Ginseng Culture
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• v.2
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• pp.27-38
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• 2020

Gaesung was the Mecca of Korean ginseng. Factors that Gaesung has been a leading brand of Korean ginseng were multiplicative. Those were natural conditions and huge commercial capital, red ginseng factory, creative business systems and etc. We can quote BongSang Son, SungHak Kong and JeongHo Kim as a famous Gaesung' ginseng merchants. They, as leaders modern ginseng industry had supplied the method of cultivation, prevention of phyto-diseases, excellent ginseng seed, and prepayment system of farming capital. The Gaesung merchants also adopted modern marketing techniques : commercial advertisement, made-order sales, changing package of the ginseng products. The book 'The Dictionary of Korean Companies and Stores' which was published in 1927 introduces BongSang Son as a great businessman in Gaesung. He was not only merchants but also educator and social worker. He practiced the spirit of entrepreneurship. BongSang Son's role of pioneer contributed to the development of Korean ginseng and Gaesung. Due to such efforts of Gaesung merchants, Korean ginseng industry were took a great step forward. This article considered the development of Korean ginseng industry through the life and achievement of the ginseng magnate BongSang Son who was a representative one of Gaesung merchants.