• 디지털융복합연구
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• 제12권4호
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• pp.85-92
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• 2014

최근 정부에서는 창조경제 실현을 위해 IT, 과학기술의 융합과 혁신을 지속적으로 추진하고 있으며, 이에 중소기업이 성장하고 소상공인이 행복한 창조경제를 구현하기 위한 창조경제 생태계를 조성하고 있다. 최근 IT 변화를 주도하는 모바일의 확산에 따라 모바일 앱, SNS, 빅데이터 등 모바일 관련 다양한 융합기술 개발이 추진되고 있다. 본 논문에서는 정부의 창조경제 실현을 위해 중소기업이 상상력과 창의성을 기반으로 모바일 융합 기술개발을 통해 새로운 부가가치 시장과 일자리를 창출할 수 있는 체계적인 육성방안을 제안하였다.

• 통상정보연구
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• 제12권2호
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• pp.239-265
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• 2010

After reform and openness action, china has been recorded high rate of increasing in export and continuous economic growth. Also their role in the international economy has been rise. The major reason of these incredible growth of China is the openness by a trade, after all the economic growth of China is evaluated an export-led growth. But, some insist that the growth of China has been accomplished by a domestic-based economy not but an export-led economy. For verification of former insists, using a yearly data, China exports and GDP, from 1979 to 2007 and performs time-series to examine an existence of causality between China's regional exports and GDP. As result of analysis, GDP and exports have two-way causality significantly when not considering region case. After the direction of Chinese reform, the east region has a strong significant relation, which support that export-led growth. While, middle and west region has weak causality between exports and GDP.

• 한국의류학회지
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• 제39권6호
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• pp.899-909
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• 2015

TV home shopping maintains annual growth in the midst of harsh competition by numerous fashion retail channels. This study investigated the dimensions of service quality of TV home shopping for fashion products as well as the effect of service quality on relationship commitment and customer loyalty. Questionnaires were distributed to consumers in their 20s to 40s who purchased fashion products via TV home shopping in the past 6 months. A total of 240 questionnaires were put into the analysis. The results are as follows. First, four dimensions of service quality of TV home shopping were found: convenience, economy, entertainment, and information seeking. Relationship commitment had two dimensions of affective commitment and calculative commitment. Second, the service quality of TV home shopping affected customer loyalty through a relationship commitment. The predictors of affective commitment were entertainment, economy, and information seeking; in addition, those of calculative commitment were economy and entertainment. Third, both affective commitment and calculative commitment predicted customer loyalty to TV home shopping. The affective commitment had more predictive power. The findings show that the service quality of TV home shopping did not directly affect customer loyalty, but they had influence through relationship commitment variables. Entertainment and economy were the most powerful predictors among service quality dimensions.

• 지식경영연구
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• 제14권5호
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• pp.121-136
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• 2013

Augmented reality, which has recently drawn great attention, has along history in technical terms. However, the latest emergence of mobile augmented reality using smartphones is allowing people to access augmented reality more easily and faster than ever. However, a review of existing studies shows that most of them have focused on the technical realization of augmented reality, whereas few studies have dealt with how users perceive augmented reality. For users, augmented reality is a means of knowledge transfer, which enables the experience of more abundant reality by providing additional informatio nsources to objects or landscapes. There fore, the element of experience must be considered for the perception of users. In addition, the current augmented reality technology certainly provides users with more fun than any other existing technologies. In this regard, this study intended to divided experiences not only into sensory experiences, but also into entertainment, educational, escapist, and esthetic experiences based on the experience economy theory suggested by Pine and Gilmore(1998). Moreover, this study intended to examine whether mobile augmented reality applications, which are highly popular as a means of the experience economy, influence the usefulness, convenience, and enjoyment perceived by users, and to identify which of these cognitive elements influence usage intentions.

• 한국산업정보학회논문지
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• 제23권3호
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• pp.73-86
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• 2018

An analysis of Airbnb and Kozaza will show how valuable and rare resource can have an impact on company performances. Airbnb applied the sharing economy platform, and this business model had disrupted the hospitality industry. Thus, this paper will investigate a Korean company called Kozaza which had benchmarked Airbnb. Furthermore, it will apply the theory of VRIO framework, which consists of how valuable, rare, costly to imitate (imitability), and organization (exploited by the organization) to find competitiveness of Kozaza in the hospitality industry. Thus, it will attempt to show that Kozaza's business model of utilizing the unused resource of Hanok (traditional Korean house) and partnerships with Hanokstay, Seoul Metropolitan Government and Soul Tourism Organization and others have enhanced their resource and capability to strengthen their business model. Furthermore, this research will explore how Kozaza can competitively be successful in the future.

• 가족자원경영과 정책
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• 제2권2호
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• pp.21-37
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• 1998

The purpose of this study was to investigate the hypothesijed a causal model of sujective perception of contribution to the family economy utilijing system theory. The major findings of this study were as follows. 1) The mean score of respondent’s personal subsystems were 3.62 out of 5. And the family solidarity was affected by the following variables in order : housewives’ age, income, type of occupation, degree of resourcefulness recognition, job satisfaction, control orientation, and information utilization. 2) The mean score of managerial subsystems were 3.68 out of 5. And The financial management of housewives was affected by the following variables. in order: housewives’ type of occupation, degree of resourcefulness recognition, control orientation, information utilization. 3) The mean score of housewives’subjective perception of Economic Contribution to the Family was 3.36 out of 5. The sujective perception of contribution to the family economy of the employed housewives were greater than unemployed housewives. 4) It was found that managerial subsystems had mostly effected on sujective perception of economic contribution to the family.

• 통상정보연구
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• 제10권3호
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• pp.437-458
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• 2008

In these days the global software market is experiencing diastrophism due to globalization, convergence, and the spread of web 2.0. In particular, today"s global economy has entered the so-called "Globalization 3.0" era, and the world is evolving into a flat world where labor, capital, and resources are moving freely. In this rapidly changing global economy, the growth of the Korean economy is in a state of continuous decline. Particularly software industry is also suffering continuously slow growth due to market saturation and low service earning, which require urgent countermeasures. Therefore, the purpose of this study is: 1) to analyze the current industrial condition of the software industry, which have special characteristics differ from manufacturing industry; and 2) to analyze the major obstacles of local companies working in the software industry in order to cope with the recent changes in the global market environment and 3) to draw out the strategy for the domestic software industry in gangwon province in order to promote local software industry and to achieve globalization.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.583-586
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• 2011

'저가의 고속 무선데이터 서비스'를 지향하는 이동통신 기술진화의 경제성, 최근 모바일 데이터 트래픽의 급증에 따른 3세대 이동통신 망으로의 대응 한계 등에 따라 국내외에서 LTE 및 4세대 이동통신으로 진화가 본격화되고 있다. 차세대 이동통신 망으로의 조기 진화 시 발생하는 참여주체간 효용의 trade-off 문제, 이동통신 사업자의 망 진화 요인분석 등의 차세대 이동통신 망으로의 진화과정에서 발생하는 주요 이슈를 검토하고, 4세대 이동통신용 주파수 조기 확보, 차세대 망 투자에 대한 정책적 인센티브 제공 등 국내 차세대 이동통신 망 투자를 촉진할 수 있는 정책방향을 제시한다.

• 통상정보연구
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• 제3권2호
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• pp.71-92
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• 2001

The number of internet electronic commerce users has increased steadily and EC is now considered not only as the communication tools, but also as the economic activity. But in spite of these global trends, current studies limited to managerial approach are insufficient in the evaluation of EC policies and situations. The purpose of this study are to present satisfaction of customers who will operate foreign internet shopping mall, and to analysis after-purchase behavior on EC satisfaction. As a result of making regression analysis, for its satisfaction. the hypotheses on "Shopping Mall Contents", "Information supply", "Convenience of order process", "Economy", "The reliability", "Customer Service" were accepted at the p<.0.05 level of significance, for its after purchase behavior, the hypotheses on "Shopping Mall structure", "Convenience of order process", "Economy", "The reliability", etc factors were accepted at the p<0.05 level of significant in 4 factors. In order words, electronic commerce satisfaction became greater when better convenience and economy were provided, the ethics were observed better, more diverse information was supplied and better system support was given, and those who had a higher educational background or better perception of electronic commerce felt more satisfaction. Finally, more usefulness of electronic commerce led to bigger satisfaction after purchase.

• Journal of Information Processing Systems
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• 제18권1호
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• pp.75-88
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• 2022

With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.