• Journal of Fashion Business
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• v.26 no.4
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• pp.136-153
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• 2022

The fashion industry is considered hazardous and a threatened to the environment. Due the negative perception, the industry should focus on sustainability as a social role. Therefore, several redesign fashion collaborations mainly focusing on renewing abandoned resources are already in place. The research method was based on previous studies, and 3 characteristics were derived: Redesign collaboration between fashion companies, Redesign collaboration between fashion & heterogeneous industries, and Redesign collaboration between the fashion industry & non-profit organizations. Those 3 characteristics were reviewed using 4 criteria. First, to establish and maximize the sustainable brand image and to be the best examples in environmental management, the organization endeavors to collaborate with various industries, institutions, and designers. Second is the expansion of the customer network through the spread of value consumption. Third is the creation of new values through a resource circulation structure. This means that the resource circulation structure system helps the partners to minimize on wastage. Fourth is the spread of de-boundary lines and the possibility of brand growth. Through collaboration with other industries, the boundaries of materials used in the fashion industry started to blur, thus expanding the continuous brand growth potential. The study derived the characteristics of redesign collaboration by systematically analyzing the cases. Further, the study looks forward to analyzing the characteristics of the products processed by redesign fashion collaborations in future research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.335-344
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• 2020

This study compared the structures and changes of help network between pre-service secondary teachers and pre-journalists who participated in the class related to network analysis to seek ways to activate a professional learning community. For this study, we used Exponential Random Graph Models (ERGM) based on ties as being interdependent and not conventional regression models requiring assumptions of independence between observations. The analysis subjects were 43 pre-service secondary teachers and 29 pre-journalists who responded both early and late in the help network survey. The main results were as follows. First, full models with network structural terms were better than simple models with no structural terms. Second, the effect of transitivity was not statistically significant in the pre-service secondary teachers' network. However, it was statistically significant in the pre-journalists' network. Third, there were effects of reciprocity, indegree popularity, and outdegree activity in the early help network of pre-service secondary teachers. On the contrary, there were only the positive effects of reciprocity and the negative effect of outdegree activity in the late network. Finally, this study demonstrated the possibility in educational fields' application of network structural effects and provided limitations and directions for future research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.5
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• pp.131-154
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• 2018

While strong investments on startup and venture ecosystem prosper worldwide, growing interest on nurturing startup ecosystem in Korea is also on its way. However, korean entrepreneurial ecosystem currently results few successful business models with those continuous development of itself compared to the one in China, which is breeding more than 50% of unicorns internationally. Accordingly, this study examined how people in the venture ecosystem, especially in IT industry feel about themselves and startup itself and compared startup ecosystem in Seoul, Korea to the one in Chengdu, China considering each of economic, social and administrational environment. The study tried to provide an implication about the future orientation of Korea's starup and venture ecosystem to policy makers and the ones inside the environment to make a better one. Therefore, the study choose Seoul, Korea and Chengdu, China as geological specimens of startup ecosystem and conduct qualitative study by interviewing selected ones who work in startup incubator, accelerator specified to IT industry and started their own business in IT industry funded by startup reward program. The study categorize the result in social, economic, and administrative parts and screens whether the interviewees from both Korea and China have similar opinions toward each of questions and can be translated to have tendency or not in each part of study. According to the study, the national recognition of startup should be moved from means of maintenance such as restaurants, franchise business to IT startup especially based on software business for the sustainable flourish in Korean venture ecosystem. Investors including accelerator, Angel investors and VCs should be less risk-aversion and therefore prefer stake purchase to solely giving subsidies. The role of governors should be limited to be a middleman of the network, connecting each people in need inside the ecosystem and their reward program should focus on nurturing the growing ones, not just multiplying the numbers of startups to expand the size of entrepreneurial ecosystem. Since this study indicated that entire revision of startup ecosystem should be applied to make a better one, it could be used to design future entrepreneurial infrastructure and the ways of activating startup ecosystem elsewhere in Korea.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.92-99
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• 2021

In this research, it was investigated the competence of Korean salesmen in the insurance business(B2C, consumer goods marketing) and information communication industry(B2B, industrial goods marketing) at the individual level rather than the organizational level. The salesperson's Guanxi ability means the salesperson's ability to create, maintain, develop the Guanxi ability. Namely, it was investigated whether the Korean salesman's Guanxi ability is the effective and persuasive concept in explaining the sales performance(company performance, business performance). The purpose of this paper was to verify which variables, among Guanxi ability and customer orientation, better explain the sales performance of salespeople. The Western concept of marketing that is closest to Guanxi is the concept of the customer-orientation that is based on the theory of relationship exchange. Confucian culture in the East is the construct concept, Guanxi is the measurement. The relational exchange theory in the West is the construct concept, customer orientation is the measurement. As the result of the analysis, we found that the Guanxi proved a greater correlation with sales performance than customer orientation. In the information technology industry, there was a big difference compared to insurance industry, whereas Guanxi and customer orientation had a similar level of correlation with sales performance. In the case of the insurance industry, we found that the Guanxi and sales performance were significant but the customer orientation and sales performance were not. This means that sales performance can be accurately and sufficiently explained only by adding the Guanxi ability in addition to customer orientation. The result of analyzing the mediating effect of the Guanxi ability between customer orientation and company performance, customer orientation was significant with Guanxi, and customer orientation and company performance were also significant. But, when the Guanxi was used as the parameter, the Guanxi was significant with company performance, but the customer orientation was not. Even when the dependent variable was business performance, when the Guanxi was used as the parameter, we found that the Guanxi was significant with the business performance, but the customer orientation was not. Namely, it proved Guanxi ability and customer orientation are completely independent concepts. In addition, we found that the information technology industry, unlike the insurance industry, mediated the Guanxi ability between customer orientation and sales performance. We confirmed that in the future, salespeople should not only rely on rational methods to maintain and reinforce customer relationships, but must consider the emotional factors through empathy with customers.

• Information Systems Review
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• v.14 no.1
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• pp.21-35
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• 2012

The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.157-182
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• 2018

As data management and processing techniques have been developed rapidly in the era of big data, nowadays a lot of business companies and researchers have been interested in long tail data which were ignored in the past. This study proposes methods for generating and controlling a network of technical terms based on text mining technique to enhance data utilization in the distribution of long tail theory. Especially, an edit distance technique of text mining has given us efficient methods to automatically create an interlinking network of technical terms in the scholarly field. We have also used linked open data system to gather experimental data to improve data utilization and proposed effective methods to use data of LOD systems and algorithm to recognize patterns of terms. Finally, the performance evaluation test of the network of technical terms has shown that the proposed methods were useful to enhance the rate of data utilization.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.51-58
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• 2012

In spite of today's rapid growth of world cruise industry, little academic attention has yet been given to the decision making problems for cruise operations. This research deals with strategic cruise itinerary planning that any cruise company should face. Increasing demands for international itineraries and redeployments of cruise ships are adding complexity to the itinerary planning. A slight modification of the conventional PERT/CPM network is adopted. to cope with this complexity systematically. By this, the concept of candidate itinerary network is suggested for each cruise ship. To integrate these candidate itinerary networks for each ship in a single framework, an integer programming model has been developed to find the optimal itinerary planning for any fleet of cruise ships. A numerical example, based on real cruise itinerary practices, is tested to validate and interpret the model.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.4
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• pp.87-94
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• 1999

This paper presents a study on the off-line handwritten Hangul (Korean) character recognition using the partially connected neural network (PCNN), which is based on partial connections between the input receptive fields and the hidden nodes. The hidden nodes of three PCNNs have ten receptive fields and different input feature sets. And we introduce modular partially connected neural network (MPCNN), The MPCNN combines three PCNNs with a merging network. The learning scheme of the proposed networks is composed of two steps: PCNN learning step and the merging step of combining three PCNN s. In the merging step, another merging PCNN network is introduced and trained by regarding the hidden output of each PCNN as a new input feature vector. The performance of the proposed classifier is verified on the recognition of 18 off-line handwritten Hangul characters widely used in business cards in Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2375-2393
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• 2016

Key agreement is paramount in secure wireless communications. A promising approach to address key agreement schemes is to extract secure keys from channel characteristics. However, because channels lack randomness, it is difficult for wireless networks with stationary communicating terminals to generate robust keys. In this paper, we propose a Robust Secure Key Agreement (RSKA) scheme from Received Signal Strength (RSS) in stationary wireless networks. In order to mitigate the asymmetry in RSS measurements for communicating parties, the sender and receiver normalize RSS measurements and quantize them into q-bit sequences. They then reshape bit sequences into new l-bit sequences. These bit sequences work as key sources. Rather than extracting the key from the key sources directly, the sender randomly generates a bit sequence as a key and hides it in a promise. This is created from a polynomial constructed on the sender's key source and key. The receiver recovers the key by reconstructing a polynomial from its key source and the promise. Our analysis shows that the shared key generated by our proposed RSKA scheme has features of high randomness and a high bit rate compared to traditional RSS-based key agreement schemes.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.335-351
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• 2011

In order to resolve data scarcity problem related to crisis, Oh and Kim (2007) proposed to use stability oriented approach which focuses a base period of financial market, fits asymptotic stationary autoregressive model to the base period and then compares the fitted model with the current market situation. Based on such approach, they developed financial market instability index. However, since neural network, their major tool, depends on the base period too heavily, their instability index tends to suffer from inaccuracy. In this study, we consider linear asymptotic stationary autoregressive model and neural network to fit the base period and produce two instability indexes independently. Then the two indexes are combined into one integrated instability index via newly proposed combining method. It turns out that the combined instability performs reliably well.