• Journal of Digital Convergence
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• v.3 no.1
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• pp.165-182
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• 2005

Development of integration management system needs to operate and manage internet shopping mall for customer, sale, product, stock, account management. The purpose of this paper implements of small shopping mall logistics management system as a plan to raise efficiency of management of the Internet shopping mall which was a representative business form of electronic commerce. Logistics management system operates an Internet shopping mall, progressed with the aim of construction of the management system that systematizes a member, a product, a stock, customer management, and can efficiently manage a total stock grasp and the amount of transaction of a product based on Web by real time.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.69-76
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• 2007

This paper presents a study on the introduction of User Model-Based Dialogue System. Also we present a plan-based Korean dialogue system as a natural language database user interface for product search. The system can be characterized by its support for mixed initiative to give user more control over dialogue, employment of user model to reflect user's preferences, alternative solution suggestion if there is no product matched exactly to user's requirements, handling circumlocution which frequently occurs in dialogues. The user modeling shell system BGP-MS is adapted for the system. The system provides for a user-friendly database user interface by managing dialogue intelligently. By its implementation and test, it has been shown that the user model-based dialogue system can be utilized effectively for product search.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.246-259
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• 2023

This study explores the evolving landscape of consumer experiences in the context of pop-up stores, considering the shifts from product economy to service economy and now the experience economy. It investigates the factors influencing consumer word-of-mouth intentions by examining the interplay of pop-up store experiences, brand equity, brand charisma, and verbal intent. Using Schmitt's strategic experience modules and the Aaker brand equity model, the study employs quantitative methods and data analysis to uncover the relationships among these variables. Surprisingly, it finds limited associations between the aspects of the pop-up store experience and brand equity. However, it highlights the direct impact of brand equity on brand charisma, which subsequently influences consumers' intentions to share brand-related information. This research contributes to our understanding of word-of-mouth marketing for pop-up stores, filling a knowledge gap and offering valuable insights for academics and businesses navigating the evolving marketing landscape. It also emphasizes the significance of brand charisma in the context of transient in-store experiences and evolving consumer preferences.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.175-180
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• 2013

To compete global marketplace, many firms are adopting product families to increase variety, satisfy customer requirements, shorten lead-times and reduce costs. The key to a successful product family is the platform from which it is derived. When designing product families, it is important to resolve the tradeoff between product commonality and distinctiveness. To measure the commonality within a product family, it is necessary to develop the commonality index. It utilizes different parameters such as the number of common components, their cost, their manufacturing processes and so on. This paper present a new product family assessment index using the benchmarking method and considering environmental performance called green product family index(GPFI). Through the comparison analysis between some previous developed commonality indices and GPFI, we verify the suitability and effectiveness. Eventually, the proposed a new green product family assessment index can be helpful to design and develop the environmentally conscious product families.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.125-130
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• 2014

The competitiveness in today's global market forces many companies to develop families of products to provide enough variety for the marketplace. The challenge when designing a product family is in resolving the tradeoff between product commonality and distinctiveness. Simultaneously it is necessary to consider environmental performance to design a product family as well as to shorten lead-times, improve quality and reduce costs. This paper proposes a metaheuristic algorithm based redesign methodology for green product family considering environmental performance. The proposed method uses a genetic algorithm as metaheuristic algorithm and green product family index (GPFI) to support green product family design. In addition, it provides the redesign methodology such as product family level and component level. A case study used table lamps as an product family's example shows the verification and effectiveness of the proposed method.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.177-182
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• 2015

The brand and product awareness of Korean electronics companies in the North American market has grown significantly and North American consumers has been recognized as an innovative technology products good performance of Korean electronics appliances. The consumer need of energy saving has led to a rise in market share because Korean electronics appliances have the excellence in energy saving aspects. The expansion of smartphones and mobile devices and the development of smart grid technology can affect electronics market. Domestic companies are continuously develop new product to provide consumers convenient with a variety of additional features combined consumer products. This study proposes a convergence model for sales prediction of electronic appliances using sales data of A company from the North American market. We develop the convergence model for sales prediction based on based on artificial neural network and genetic algorithm. In addition, we validate the superiority of the proposed convergence model by comparing the prediction performance of traditional prediction models.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.167-172
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• 2016

Commercial analysis has been used for a lot of reasons such as improving the distribution structure, operational cost savings. However, existing commercial assay system is mostly flow through the analysis of the population and the environment around the store. Therefore, in this paper, we design a path weighted data analysis system for efficient product arrangement. It is not applying the analysis method of the existing commercial sales center but the data analysis system applying the weight to the form of customers' paths in a store. In conjunction with the existing POS system, it provides effective product placement in department stores, such as supermarkets, convenience stores. To this end, a system that maximizes efficiency of product placement in stores, receiving path data, converting them into statistics data that apply the weight, and printing out them into a visualized monitering system for the manager to see was designed.

• Proceedings of the Optical Society of Korea Conference
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• 1989.02a
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• pp.89-94
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• 1989

In this paper, we propose a hybrid optical/digital version of the associative memory which improve hardware efficiency and increase convergence rates. Multifocus hololens are used as space-varient optical element for performing inner product and summation function. The real-time input and the stored states of memory matrix is formated using LCTV. One method of adaptively changing the weights of stored vectors during each iteration is implemented electronically. A design for a optical implementation scheme is discussed and the proposed architecture is demonstrated the ability of retrieving with computer simmulation.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.71-81
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• 2020

This study the effects of cosmetic product manufacturing and sales companies and manufacturing companies' reputation and product types to the customers on the perceived product quality. For this study purpose, the experiments were conducted targeting 8 groups using 2 × 2 × 2 factor design. Regarding the study results, first, the manufacturing and sales companies and manufacturing companies with higher reputation showed higher perceived product quality than the companies with lower reputation. Second, the reputation of manufacturing and sales companies and manufacturing companies was identified to have interactive effects on perceived product quality. Third, manufacturing and sales companies and product types have interactive effects on perceived product quality. Finally, manufacturing companies and product types have interactive effects on perceived product quality. This study results can provide valuable information for product manufacturing for manufacturing companies and marketing strategy planning for manufacturing and sales companies.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.91-103
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• 2015

To increase the competitiveness of domestic manufacturers products, CAE system, process and fast delivery of development information and implementation of retrieval system introduced for manufacturers is necessary situation For this purpose, this study analysed instance to build integrated design simulation system that provide design automation, modular design, design standards, automation of quality verification and design knowledge. Also, we discuss that improve design of the new product and increasing the satisfaction of our customers. Completed development of simulation systems are the basic steps, and pilot operation about new product. During pilot operation, the systems is improved. Through this process, the experimental data accumulated to increase the effectiveness of the simulation, and improve the utilization. Therefore, this study have many theoretical, practical value for growing global company.