• Knowledge Management Research
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• v.14 no.3
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• pp.87-100
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• 2013

As the external knowledge networks of firms have become more and more important to their product and service innovations, many global leading companies such as P & G, IBM, and Samsung Electronics have formulated and implemented their open innovation strategy. This study attempts to empirically analyze the effects of CEOs' supports for external knowledge networks, external knowledge network-oriented cultures and inter-organizational knowledge management systems as the major antecedents to external knowledge networks by using the data based on organizational members' perceptions about them. Based on 847 samples collected from employees in three companies in the medical, the construction and the IT service industries, this study performed a structural equation modeling (SEM) analysis about the effects of the antecedents to the external knowledge networks on product and service innovations through Partial Least Squares (PLS). The empirical findings of this study show that CEOs' supports for external knowledge network positively influence product and service innovations, partially mediated by external knowledge network-oriented cultures and inter-organizational knowledge management systems. And they also show that external knowledge network-oriented cultures and inter-organizational knowledge management systems have a positive effect on product and service innovations, respectively, partially mediated by external knowledge networks. With these new findings, academic and practical implications are discussed.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.840-852
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• 2019

The influences of sporting shoe brands wants to exert on consumers in the sports shoe market has been tried in many forms, and its effectiveness has also been proven. A variety of marketing strategies are being proven by each brand that they consider to be worth using. However, marketing strategies using sports shoe collectors have never been empirically proven in their influence. This is because the collecting behaviors shown in the traditional sports shoe market is very low in comprehension. This study was initiated by critical thought that determined a new marketing strategy was needed in the sports shoe market, which is considered to be somewhat limited, and is aimed at setting and demonstrating the path to influence in establishing a marketing strategy using sports shoe collectors. To achieve the purposes of this study, 231 consumers who were exposed to stimuli for describing the products of a hypothetical sports shoe collectors were used. For data analysis, frequency analysis, reliability analysis, correlation analysis, and confirmative factors analysis and structural equation method using PASW 21.0 and AMOS 20.0 were used. Based on the results derived from this study, we have found a new path to a new marketing strategy based on the expertise held by sports shoe collectors in the sports shoe market, which we hope will serve as one of the new growth engines for the sluggish sports shoe market in Korea.

• The Journal of Information Technology and Database
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• v.8 no.1
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• pp.1-11
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• 2001

More and more cyber shopping malls, one of the new promising Internet businesses of today, are opening business everyday. And instead of the ordinary image and text type of product display, buyers can now view products from any viewpoint through 3D images and also get more detail information on the product more easily thanks to the new VP technology, visual tools, and statecharts. However the currently used virtual prototyping supporting method does not consist of any database support for sharing the data from different virtual prototype developments and reusing the data in developing other prototypes. And in cases of custom order products, there is no linkage with the virtual product database that enables buyers in cyberspace such as cybermalls to try out the products before purchasing. This paper is purported for being applied as the basis for planning the construction of a complete CRM method applied cyber shopping mall that can accommodata all the demands and requests from customers. And the database supporting VP framework that supports data sharing and collaboration between virtual prototype developers and manufacturing custom order products is suggested for this purpose.

• Clean Technology
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• v.1 no.1
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• pp.34-46
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• 1995

Clean Technology goes beyond Clean-UP (or "End of PiPe) Technologies to include Pollution prevention, waste minimisation, and cleaner production. However, the concept of Clean Technology goes deeper than changes in technology, to ways in which human needs can be satisfied sustainably. In other words, Clean Technology, concentrates on delivering a human benefit rather than making a product. Introducing cleaner technology may therefore involve new commercial relationships as well as new technological practices. In some economic sectors, this involves leasing or providing a service rather than selling a product. Life Cycle Assessment (LCA) is an important tool in Clean Technology. LCA involves determining all the resources used and all the wastes and emissions produced in providing the human benefit. Use of LCA ensures that improved environmental performance in one part of the Life Cycle is not achieved merely at the expense of more environmental damage elsewhere. Going beyond LCA, the concepts of Life Cycle Design and "metabolised" use of materials are approaches to obtain maximum benefit from materials as they pass through the human economy. "Closed-loop" use can be a component of clean technology. Looking beyond simple re-use and recycling, a material may pass through a "cascade of uses". typically a series of applications with progressively lower performance specifications. Closed-loop use necessarily involves a change in commercial practice, because the material or product must be recovered after use.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.33-43
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• 2017

Patent strategy research has focused on the efficiency of licensing for investigation, analysis and utilization of application management, product and development task in finding patent idea, to establish patent strategy linked with management strategy and technology strategy. However, it is difficult to find the research on patent strategy that reflects an adaptive culture to enhance the internalization and performance of the established strategy. As a result, companies have been striving to imitate patent strategies of advanced companies that do not consider their industry and organizational culture. This study proposes a method of defining a firm 's patent strategy according to the competing value model that analyzes organizational culture as four frameworks. This study verifies the classification method through case studies, suggests a suitable patent strategy for the patent strategy type. This study has contributions in that discussing from a new point of view based on organizational culture theory and providing a IP strategic model with high practicality.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.113-119
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• 2016

In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.

• Natural Product Sciences
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• v.26 no.4
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• pp.340-344
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• 2020

A new chromone analogue (1) was isolated from an EtOAc-extract of Pleosporales sp. culture medium, together with five known chromones (2 - 6). The isolation workflow was guided by a Molecular Networking-based dereplication strategy. The chemical structure of the new compound was elucidated using NMR and MS spectroscopy, and the absolute configuration was established by the Mosher's method. All isolated compounds were evaluated for their inhibitory effects on lipopolysaccharide-induced nitirc oxide production in RAW 264.7 macrophages. Compound 1 showed marginal inhibitory activity with an IC50 value of 118.7 μM.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.161-196
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• 2021

This study presents a new methodology for developing AI-based products. It identifies the distinctive attributes of AI innovation that are different from existing methods, and presents a product design process and methodology reflecting these attributes. This study emphasizes that AI product development should be oriented toward an ambidexterity approach. This study proposes a design process and specific development method for AI-based products that including steps such as technology push oriented idea generation with morphological approach, market pull oriented consumer requirements analysis, product design refinement, etc. In order to verify the practical applicability of this methodology, an AI-based car infotainment system development strategy is derived as a case study. 13 innovative ideas were generated by the morphological approach and expert review based on technological possibility, and a total of 6 quality requirements were derived as new product development strategies through the analysis of consumer requirements by combining Kano and TOPSIS. The methodology proposed in this research paper can be usefully utilized for companies to pioneer new markets through AI-based products or to expand the market by upgrading existing products or services.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.47-61
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• 2014

Dongdaemun Fashion District has been successfully positioned as the main hub for fashion product distribution in Korea since 1960 thanks to its unique and successful fashion merchandising system. This system enables the distributors to respond quickly to consumer need and inexpensive price. However, at the present time, Dongdaemun Fashion District has been facing serious challenges from new types of retail stores such as fast fashion brands like ZARA and online shopping malls. To achieve this result, statistical analysis was performed using data from 68 employees of wholesalers in the Dongdaemun Fashion District. They were required to answer questions regarding the marketing system supporting program, amenities like restrooms, and traffic congestion. For the case study, C.I.S, a successful global wholesale system in Italy, was selected. C.I.S has 130 offices offering professional services in the field of trade, legal and tax issues, and insurance. This study suggests cooperation among related wholesalers in order to make an area management plan in the Dongdaemun Fashion District. Also, for the wholesalers to build up product information system and infrastructure for the Global marketing strategy.

• Journal of Distribution Science
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• v.19 no.5
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• pp.61-68
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• 2021

Purpose: Retailing is one of the fastest-growing sectors in Vietnam. In the sight of foreign investors, the Vietnamese retailing market is very prospective. However, the current competition is very intensive, and retailers are keen on gaining new customers. Hence, Vietnamese retailers have paid more attention to customer loyalty. Saigon Co.op is one of the largest retailers in Vietnam, but its consumers have more choices over a retailer. As a result, Saigon Co.op has realized the significance of customer loyalty. This study aims to determine the factors impacting customer loyalty of Saigon Co.op supermarket in Vietnam. Research design, data and methodology: this study applied the multiple regression analysis with 250 samples collected from Saigon Co.op customers. The questionnaire is provided to respondents via Google Form, and the link is sent to the fan page of Co.op mart on Facebook. Two hundred eighty-seven samples were collected, but 37 samples were removed due to missing values. Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The findings show all four determinants of Saigon Co.op's customer loyalty, including Product Quality, Brand Image, Price Strategy and Service Quality. Conclusions: managerial recommendations are provided for supermarkets to improve their customer loyalty in Vietnam and other emerging markets. Limitations and suggestions for further research are also discussed.