• Journal of Distribution Science
• /
• v.12 no.7
• /
• pp.53-61
• /
• 2014

Purpose - This study focuses on "large-scale marts," which is a typical discount-based retail channel (hereinafter, DRC), and provides practical managerial implications by applying the KD-SQS service quality factor based on customers' experiential perspective by developing and applying existing service measures. Research design, data, and methodology - The research subjects include adults who have experienced "large-scale marts." The research involved SPSS 20.0 and AMOS 19.0 packages; path analysis is used to analyze structural relationships. Results - First, physical aspects, human interaction, and additional convenience aspects of service quality have statistically significant influence on service value. Second, physical aspects, human interaction, and policy have statistically influence on store loyalty. Third, service value influences store loyalty. Fourth, service guarantee adjusts the relationship between service quality, service value, and store loyalty in terms of human interaction and policy. Conclusion - Among service quality measures, improving service value through personal service needs to be prioritized, while we need to develop different methods for the service guarantee system to effectively influence service value and store loyalty.

• Journal of the Korean Society of Costume
• /
• v.54 no.4
• /
• pp.15-26
• /
• 2004

The study was done to provide domestic fashion multi-shops with basic Information about the distribution and the promotion strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only. Data were collected from Interview with a buyer or a staff of marketing department of Domestic Fashion Multi-shop dealt with Imported Product only. The results were as follows： For the distribution strategies, these fashion multi-shops as chosen were all placed in department stores. Their distribution channels were diverse like road shop, shop in department store and shop under direct management of department store. In case of shop in department store, it was common that the shop paid a definite commission to the department store. But S shop was managed directly by a department store as an advanced buying system that department store bought and sold goods and held themselves responsible for overstock. For the promotion strategies, these fashion multi-shops didn't make a definite budget for advertising and publicity contrary to other one-brands. But they attached importance to visual merchandising (VMD) because they had to harmonized the concept of a shop with various brands. Also they concentrated on seasonal fashion show, management of their customers and personal sales.

• Journal of Institute of Control, Robotics and Systems
• /
• v.17 no.6
• /
• pp.539-545
• /
• 2011

This paper describes an intelligent service robot system for managing a store in an unmanned environment. The robot can be a good replacement for humans because it is possible to work all day and to remember lots of information. We design a system architecture for configuring many intelligent functions of intelligent service robot system which consists of four layers; a User Interaction Layer, a Behavior Scheduling Layer, a Intelligent Module Layer, and a Hardware Layer. We develop an intelligent service robot 'Part Timer' based on the designed system architecture. The 'Part Timer' has many intelligent function modules such as face detection-recognition-tracking module, speech recognition module, navigation module, manipulator module, appliance control module, etc. The 'Part Timer' is possible to answer the phone and this function gives convenient interface to users.

• Journal of Biomedical Engineering Research
• /
• v.18 no.2
• /
• pp.121-126
• /
• 1997

Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.935-936
• /
• 2006

In this paper, we have applied a real-time face processor includes detection, recognition, and learning to a intelligent store management service robot. We use the Haar classifier and adaboost learning algorithm for face detection. For face recognition and learning, a PCA algorithm and a SVDD algorithm is used. We have developed a store management service robot and applied these algorithms to verify the performance.

• Information Systems Review
• /
• v.23 no.1
• /
• pp.155-172
• /
• 2021

With the recent increase in online product purchases, a recommender system that recommends products considering users' preferences has still been studied. The recommender system provides personalized product recommendation services to users. Collaborative Filtering (CF) using user ratings on products is one of the most widely used recommendation algorithms. During CF, the item-based method identifies the user's product by using ratings left on the product purchased by the user and obtains the similarity between the purchased product and the unpurchased product. CF takes a lot of time to calculate the similarity between products. In particular, it takes more time when using text-based big data such as review data of Amazon store. This paper suggests a hybrid recommendation system using a 2-phase methodology and text data mining to calculate the similarity between products easily and quickly. To this end, we collected about 980,000 online consumer ratings and review data from the online commerce store, Amazon Kinder Store. As a result of several experiments, it was confirmed that the suggested hybrid recommendation system reflecting the user's rating and review data has resulted in similar recommendation time, but higher accuracy compared to the CF-based benchmark recommender systems. Therefore, the suggested system is expected to increase the user's satisfaction and increase its sales.

• Korean Management Science Review
• /
• v.20 no.2
• /
• pp.113-133
• /
• 2003

This study developed the ISM (Electronic Store Success Model) by basing upon the revised D&M IS Success Model and reflecting the characteristics of marketing and e business. The theoretical rationale of this model was as following : 1) Though the revised D&M IS Success Model (2002) must be more logical and complete model than the original D&M IS Success Model (1992), it did not reflect characteristics of marketing and e business. 2) In the marketing studios, Service Quality has been suggested as one of basic strategies for success. 3) In e business studies, Trust has been emerging as a potentially important antecedent of e loyalty. 4) There has been a paradigm shift from satisfaction to loyalty in marketing emphasis. 5) Nowadays, ERP (Enterprise Resource Planning) has been pervaded in many organizations and has supported PCA (Profit Center Accounting) or Channel based Accounting, so it has not been difficult to evaluate financial performance of Electronic Store. The ESM that has six dimensions (System Quality, information Quality. Service Quality, Trust, Loyalty, Financial Performance) and expresses the causal relationship among them was proposed and was compared with BSC (Balanced Scorecard), WebQual, and EWAM (Extended Web Assessment Method). The results showed that the ESM coincides with BSC and contains dimensions of WebQual, and EWAM.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.3
• /
• pp.23-33
• /
• 2014

The smart phone are changing the way people communicate. And, the mobile app marketplace is greatly fast-growing. The app store continues its rapid growth, there are already more than 900,000 mobile apps on AppStore. We anticipate to see gained momentum throughout the business. Mobile is also becoming popular for marketers. Therefore, specialized app analysis systems are becoming important to how marketers and app developers invest, analyze and market their apps. App analysis systems enable users to discover and analyze behavior through data observations and meaningful patterns. In this paper, we introduce app analysis system and CMS System Open API, NugaLog. The NugaLog acquires users data and engages with them in a variety of ways. It will be essential for us to understand how users interact with and move through the app. The NugaLog will be able to see the number of users, smart phone model, smart phone OS, resolution, page views, and app version.

• The Journal of Society for e-Business Studies
• /
• v.4 no.1
• /
• pp.1-19
• /
• 1999

Workflow management system provides automation of job processes by maintaining shareability on information about various job process schedules and persons related to those schedules. Existing workflow management systems use file or database to store the information generated in those systems. However, file or database system could manage only non-complicated information for the workflow but not the information resources of an enterprise which is complicated and of various formats. Therefore, we need a data management system that could control those information resources. This system should manage the data which are distributed at several places geographically. Information Repository could meet those requirements. Information Repository may integrate, store and manage information resources requested by application systems. We have an international standard for the information repository, Information Resources Dictionary System(IRDS). The IRDS, however, does not support distributed environment. In this paper, we design and implement an information repository based on IRDS that may be operated in distributed environment. We verify that this information repository is more effective and is more effective than any other file or database system.

• Journal of Distribution Science
• /
• v.3 no.1
• /
• pp.43-67
• /
• 2005

Recently retail market has been rapidly expanded in the large cities of in Korea and the competition among individual companies in retail market is also being increased. Tenant MD of mixing is one of the most important factor for the company to continuously operate or to fail. The aim of this study is to examine the processes of systematically evaluating the merchandising of the established companies in retail market a part of chain operation in discount store. The basic problem of decision making in general and tenant MD of mixing in particular is to choose a best one in a set of competing alternatives that are evaluated under conflicting criteria. The purpose of research of a paper carries out a duty searching examination with making a tenant MD include by retail research, simultaneously defined when I will show an example for the tenant mix of the profitability side of the domestic discount store market which is tenant MD importance proposing the existing problem arrangement by chain operation management, and is intensifying - tenant MD of standardization in discount store of T-company.