• KIPS Transactions on Computer and Communication Systems
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• v.10 no.11
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• pp.305-310
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• 2021

Artificial intelligence technology in the medical field initially focused on analysis and algorithm development, but it is gradually changing to web application development for service as a product. This paper describes a Urinary Stone segmentation model in abdominal CT images and an artificial intelligence web application based on it. To implement this, a model was developed using U-Net, a fully-convolutional network-based model of the end-to-end method proposed for the purpose of image segmentation in the medical imaging field. And for web service development, it was developed based on AWS cloud using a Python-based micro web framework called Flask. Finally, the result predicted by the urolithiasis segmentation model by model serving is shown as the result of performing the AI web application service. We expect that our proposed AI web application service will be utilized for screening test.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.127-134
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• 2022

With the recent advent of the Fourth Industrial Revolution, the importance of the platform business is increasing. Most global companies with high market value are known as platform companies. This change is changing the business model of companies in various industries. However, existing studies have mainly focused on information-intensive industries and large companies. Therefore, this study attempted to analyze the case of Everybot, which is successfully growing in the service robot industry. Everybot is known as a company that produces robot cleaners. However, according to the result, the company has focused on developing autonomous driving technologies and pursuing platform-based business strategies rather than product-based ones. The results of this study have theoretical and practical implications by showing how domestic small and medium-sized robot companies apply platform-based business strategies to achieve long-term growth with gaining leadership in the personal service robotics market.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.529-531
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• 2022

The 5th generation mobile communication (5G) is being commercialized by major domestic and foreign mobile telecommunication businesses and is spreading to general customers mainly on smart devices such as smartphones, wearables, and IoT. If 4G networks and 5G access equipment were utilized by introducing NSA(None-Stand Alone) technology when 5G was first introduced, recently, 5G convergence services are being realized by gradually expanding evolution to 5G standalone networks through SA (Stand Alone) technology. The purpose of this study is to study a design plan for implementing necessary service-oriented functions from the perspective of communication network users on the configuration of 5G SA equipment based on SBA(Service-based Architecture) mentioned in the 3GPP technical specification document. Through this research, it is expected that companies that need to enter the 5G market can easily access the 5G SA network to develop and supplement specialized 5G convergence services to improve product performance and quality.

• Journal of the Korean Society of Food Culture
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• v.31 no.2
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• pp.149-160
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• 2016

This study utilized importance and performance analysis (IPA) in order to improve and plan tangible (menu) and intangible (service) products at dumpling shops. Menu attributes for tangible products were classified into sensory factor, health factor, hygiene factor, and external factor. Attributes for intangible products were classified into response factor, visual factor, spatial factor, package factor, and promotion factor. In IPA analysis of tangible products, sensory factor and hygiene factor were located in Quadrant I (Keep up the good work). Health factor was located in Quadrant III (Low priority for management) and the external factor was located in Quadrant II (Possible overkill). In IPA analysis of intangible products, response factor and visual factor were located in Quadrant I, whereas promotion factor was located in Quadrant III. The attributes related to kindness of staff and space for customers in the store were more important, but due to their low performance level, they were located in Quadrant IV (Concentrate management here). Thus, the product planner should improve attributes of the related product immediately. As a result, the development of competitive products within the market is possible.

• Atmosphere
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• v.15 no.1
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• pp.27-34
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• 2005

High quality meteorological information is the typical product of service business industry which can offer the investment initiative by reducing the uncertainty and by activating other related industries. It requires a high level of meteorological technology and of ability to transform such technology as merchandising products. According to the analysis of the WMO data, the level of Korean meteorological technology is comparable to that of the nation with $17,500, GDP per head. However, the income of the meteorological business agent earns in Korea is 8 billion 4 hundred million won which is less than a tenth of that made by the US or Japan. The potential for such business field in Korea will be strong enough, if one can overcome such weak points. In addition, the efforts made by the government to advance the meteorological technology have been actualized gradually. Korean government will have a chance that is comparable to offering jobs for 20,000 unemployed by creating incomes of 40 billion won by meteorological technology as a sustained economic growth engine. It is proposed that government stimulate demand and supply by focusing on sales quantity than the price. The key points for creating the new demand are marketing and outsourcing of weather and climate information by maintaining the cooperative relationship between private and public sector.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.5
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• pp.701-710
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• 2012

The purpose of this study was to classify customer's satisfaction of coffee shops in term of economic and non-economic satisfaction, as well as to examine the effects of coffee shops image on customer's economic and non-economic satisfaction and customer brand loyalty. For this purpose, we collected data from 301 coffee shops, as well as from customers who visited brand name coffee shops in Seoul, Korea. The result of this CFA shows that this study was valid and reliable. Our findings were as follow: (1) Product and accessibility image of coffee shops influenced customer's economic satisfaction, whereas facility and staff image did not. (2) The effects of product, facility, staff and accessibility image on customer's non-economic satisfaction were significant. (3) Coffee shop image was not influenced by brand loyalty. (4) Economic and non-economic satisfaction had a significant impact on brand loyalty.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.969-976
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• 2020

The role of customers has changed from that of passive users to value co-creators. Therefore, it is important to understand how customer learning takes place and how it affects customer experiences with services and products. However, while past studies insist on the importance of the issues in designing customer experiences, they do not empirically address these issues. This study investigates the support processes for customer learning, and their impact on customer learning, which in turn influences customer experience. To test the hypotheses, we employed the survey method. Target informants were the actual users of Apple iPods. A total of 200 survey questionnaires were distributed and 146 were collected. Among these, seven erroneous responses were excluded, leaving 139 usable ones. The proposed model was empirically analyzed using the Covariance-based SEM (Structural Equation Modelling) technique. The findings of this study suggest that, among the three support processes in customer learning, learning-by-doing support and learning-by-investment support positively affect customer learning, which influences customer experience. This study contributes to the literature by identifying different types of support for different kinds of customer learning processes and by empirically testing the impact of the support for the process on customer learning, and in turn, its impact on customer experience.

• Journal of Distribution Science
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• v.17 no.10
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• pp.5-15
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• 2019

Purpose - Compared with the past when customers regarded a price factor as one of the most important criteria when choosing a retailer as a shopping destination, they seem to show different attitudes toward retailers in recent. This research, therefore, aims to explore how Korean customers respond to the CSR business activities provided by retailers. Research design, data, and methodology - The authors have developed the 6 hypotheses based on the literature review and adopted the 4 hypotheses after removing the 2 hypotheses through discriminant validity analysis. Results - Amongst the 4 hypotheses selected, H1 (community support), H3 (environment protection) and H6 (trading with unethical suppliers) related to a retailer's CSR business practices are accepted, whilst H4 (product issues) is rejected. Surprisingly, Korean customers are not interested in a product safety issue, when deciding a shopping store. Conclusions - Rather than emphasizing cheaper prices to attract new customers or maintain existing ones, it is demonstrated through the research that retailers have to pay their attention to their CSR activities. For a retailer's CSR practices, the retailer's social role has become more important than ever before, from a customer's point of view.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.485-490
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• 2002

Demands of customers are being changed and varied. And in this circumstance, it become a main issue of management that the company should produce and sell products according to the customer demands. With these trends, each company has been concentrating effects on generalization of product development technique and distinction of service for customer. To fulfill these demands of customer, they need a concept of eCRM(Web based Customer Relationship Management), and go from soiling products and services, or gathering customer requests, up to the phase of solving customer's problem by real time or previous action. With the help of internet, the frequency and speed of the problem solving has improved greatly. In the Supply chain, The ATP(Available to Promise) function doesn't only give customers to conformation of delivery. It can be used by the core function with ATP rule that can reconcile supplies and demands on the supply chain. Therefore We can be acquire the conformation about on the due date of supplier by using the ATP function of management about real and concurrent access on the supply chain, also decide the affect about product availability due to forecasting or customer's orders through the ATP. In this paper, It consolidates the necessity on a ATP and analyzes data which is concerned of ATP. Under the these environments, defines the ATP rule that can improve the customer value and data flow related the eCRM and builds on a algorithm.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.221-228
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• 2009

Electronic Product Code Information Services(EPCIS) is an EPCglobal standard for sharing EPC related information between trading partners. EPCIS provides a new important capability to improve efficiency, security, and visibility in the global supply chain. EPCIS data are classified into two categories, master data (static data) and event data (dynamic data). Master data are static and constant for objects, for example, the name and code of product and the manufacturer, etc. Event data refer to things that happen dynamically with the passing of time, for example, the date of manufacture, the period and the route of circulation, the date of storage in warehouse, etc. There are four kinds of event data which are Object Event data, Aggregation Event data, Quantity Event data, and Transaction Event data. This thesis we propose an event-based data model for EPC Information Service repository in RFID based integrated logistics center. This data model can reduce the data volume and handle well all kinds of entity relationships. From the point of aspect of data quantity, we propose a formula model that can explain how many EPCIS events data are created per one business activity. Using this formula model, we can estimate the size of EPCIS events data of RFID based integrated logistics center for a one day under the assumed scenario.